Abstract

Buckling-restrained brace frames (BRBFs) have been a popular seismic force-resisting system in the US since it was first introduced to the AISC Seismic Provisions and ASCE 7 in 2005. The steel core of a buckling-restrained brace (BRB) yields in tension and buckles plastically in a high-mode buckling pattern in compression under cyclic loading. Prequalification testing of BRBs in conformance with the AISC 341 requirements relies on a highly idealized loading protocol that is not representative of the expected response during an earthquake. Although testing has demonstrated that BRBs have excellent energy dissipation capacity, a low-cycle fatigue model will permit designers to evaluate the remaining life of BRBs after a seismic event. To develop and validate such model, 18 full-scale BRBs in groups of three different yielding strengths (1,110; 2,220; and 3,330 kN) were cyclically tested to fracture with the following loading conditions: (1) symmetric cycles with constant strain amplitudes (±0.25% to ±3%), (2) asymmetric cycles with constant strain amplitudes and non-zero-mean strains, (3) symmetric cycles with variable strain amplitudes, and (4) simulated earthquake responses. Two low-cycle fatigue models for BRBs (a standard model and an alternative model for ease of practical use) were developed based on 11 symmetric, constant-amplitude tests. An assessment procedure combining the proposed fatigue models, rainflow cycle counting method, and Miner’s damage index was proposed to predict the fatigue life of BRBs subjected to random cyclic loading histories, the accuracy of which was verified by the variable-amplitude test results.

Introduction

The concept of buckling-restrained brace frames (BRBFs) was originally developed in Japan (Uang et al. 2004; Xie 2005; Takeuchi and Wada 2017) and has been a popular seismic force-resisting system in the US since it was first introduced to the AISC Seismic Provisions and ASCE 7 in 2005. Extensive research including component and system-level testing has demonstrated that BRBFs are a reliable seismic force-resisting system (Clark et al. 2000; Iwata et al. 2003; Sabelli et al. 2003; Uang et al. 2004; Tremblay et al. 2006; Fahnestock et al. 2007; Tsai et al. 2014). As a result, BRBFs have gained wide acceptance for new construction or seismic retrofit of buildings and other structures in high seismic regions in the world.
BRBFs are expected to provide significant inelastic deformation capacity primarily through buckling-restrained braces (BRBs). Under seismic loading, the steel core of a BRB yields in tension and buckles plastically in a high-mode buckling pattern in compression. These behaviors contribute to stable hysteric energy dissipation during cyclic loading. Although results from numerous testing showed that a BRB can easily meet the seismic demand from a significant seismic event, the question pertaining to the remaining fatigue life of the BRB for future earthquakes remains to be answered. It is highly desirable that a low-cycle fatigue (LCF) damage assessment procedure be established such that an engineer can make a decision if BRBs need to be replaced after an earthquake.
To date, there have been limited experimental studies on the LCF of BRBs. In Japan, Maeda et al. (1998) conducted fatigue tests on 75-mm-long flat core plates made of low-yield-strength steels. Nakagomi et al. (2000) performed experiments on all-steel BRBs in which the steel cores were restrained by a square tube. Their test results showed that the Coffin-Manson relation (Coffin 1954; Manson 1953), which is widely used to describe the LCF in terms of a strain-life relationship for metallic materials, can be applied to steel core plates. Nakamura et al. (2000) conducted tests on 11 2,000-mm-long BRBs with a steel core made of low-yield and mild-strength steels (LYP100, LYP235, or SN400B), which had a measured yield stress of 95, 230, and 260 MPa, respectively. The lengths of the yielding steel core ranged from 470 to 1,180 mm, the yield axial forces ranged from 320 to 693 kN, and the imposed core strain amplitudes ranged from ±0.08% to ±2.25%. Test results showed that similar fatigue properties could be found from BRBs with various steel grades. Usami et al. (2011) and Wang et al. (2012) tested nine 2,015-mm-long all-steel BRBs with steel cores that were made of SM400 steel with measured yield stresses of 271 and 291 MPa and had a yielding steel core length of 1,375 mm. The imposed core strain amplitudes ranged from ±1 to ±4%. Test results showed that overall strain-life relationship of theses all-steel BRBs was similar to but differed slightly from that observed by Nakamura et al. (2000). A comparison of the Coffin-Manson fatigue curves obtained from the BRB tests and material tests showed that the fatigue life of a BRB was shorter than that of the steel core base metal. This is the result of the high-mode buckling that takes place during the compression excursion; the additional flexural strains consume fatigue life of the steel core.
In addition to the Coffin-Manson LCF models that were calibrated based on the results of BRB fatigue tests in Japan, researchers also developed cumulative deformation capacity models for BRBs. Takeuchi et al. (2008) developed a model to estimate the cumulative deformation capacity of BRBs by decomposing the hysteretic loop into the skeleton and Bauschinger parts. It is shown through a validation with experimental data that their proposed model predicts the fatigue damage of BRBs better than a conventional approach that assesses cumulative damage by using Miner’s method (Miner 1945). Based on the results of 76 BRB tests, Andrews et al. (2009) developed empirical models for the total and remaining ductility capacities of BRBs by using a probabilistic modeling framework. Matsui and Takeuchi (2012) proposed a BRB cumulative deformation capacity assessment model by applying the available LCF models of steel core metallic materials to the strain concentration zone in the BRB. Which considers the effect of high-mode buckling on the core plate. Wei et al. (2019) investigated the thermal-induced LCF of BRBs in end diaphragm systems of bridge structures by using three LCF models for BRBs that were calibrated on the basis of fatigue test data in Japan.

Objective and Scope

The fatigue performance of BRBs is related to the local bucking amplitude of steel core, which in turn is a function of the details of the BRB design (e.g., the gap between the steel core and the buckling-restraining mechanism). The BRB specimens used in previous fatigue tests in Japan were about 2-m long and had an actual yield strength smaller than 700 kN, which falls in the lower-end region of BRB capacity in real applications. Also, a significant portion of the tested BRBs were made from low-yield-strength steel (e.g., LY100 and LY220 with a nominal yield stress of 100 and 220 MPa, respectively), which is not commonly used in the U.S. Therefore, a fatigue test program on representative full-scale BRBs commonly used in the US was initiated. A total of 18 BRB specimens were tested. The overall length of the BRB specimens was about 5,400 mm and the actual yield strength ranged from 1,110 to 3,330 kN. Symmetric, constant-amplitude fatigue tests with an imposed strain amplitude ranging from ±0.25 to ±3% were conducted on 11 specimens. These 11 tests provided a database to develop a standard LCF model in a form equivalent to the Coffin-Manson-Basquin relation (Morrow 1945) and an alternative model. A procedure using the proposed LCF models together with the rainflow cycle counting method (Matsuishi and Endo 1968) and Miner’s damage rule (Miner 1954) was then developed to assess the low-cycle fatigue life for BRBs subjected to random cyclic loading histories. Five variable-amplitude fatigue tests, including simulated earthquake loading tests, were performed to examine the accuracy of the proposed procedure. In addition, two asymmetric, constant-amplitude cyclic tests were conducted to investigate the mean strain effect on the LCF performance of BRBs.

Test Program

Three sets of nominally identical BRB specimens for a total of 18 BRB specimens were tested in the Seismic Response Modification Device (SRMD) Test Facility at the University of California, San Diego, with the test setup as shown in Fig. 1. Table 1 depicts the test matrix. The steel cores and steel casing were manufactured from A36 and A500 Gr. B steel, respectively. The three sets (Series A, B, and C) had incrementally larger core cross-sectional areas, Asc, with an actual yield strength, Pya=AscFya, of 1,110, 2,220, and 3,330 kN, respectively, where the measured yield stress, Fya, of the A36 steel cores in Series A, B, and C specimens were 303, 307, and 299 MPa, respectively. Fig. 2 shows the specimen geometries, indicating the overall brace length and the length of yielding steel core, Ly.
Fig. 1. Test setup.
Table 1. Test matrix
SeriesSpecimen No.BRB dimensionsConstant-amplitude testsVariable-amplitude tests
Asc (mm2)Pya (kN)Lb (mm)Ly (mm)Strain amplitude (mm/mm)Loading protocol description
AA13,6521,1105,4753,777±0.25%
A2±0.75%
A3±2.00%
A4Simulated earthquake (EQ1)
A5Symmetric incresing cycles (SI)
BB17,2322,2205,4613,048±0.25%
B2±0.75%
B3±2.00%
B4Simulated earthquake (EQ2)
B5±3.00%
B6±2.50%
B71.50%/+3.50%
B83.50%/+1.50%
CC111,1353,3305,4242,883±0.25%
C2±0.75%
C3±2.00%
C4Simulated earthquake (EQ3)
C52-stage constant-amplitude (2SCA)
Fig. 2. Specimen geometries: (a) Series A; (b) Series B; and (c) Series C.
The fatigue tests were conducted in a displacement-control mode and were divided into two groups: “constant-amplitude” and “variable-amplitude” cyclic tests. The constant-amplitude tests were further categorized into two types: tests with a zero-mean strain and tests with non-zero-mean strains. There were 11 specimens tested with symmetric strain cycles to fracture [Fig. 3(a)]. Within each set, three specimens were tested with a constant amplitude of ±0.25, ±0.75, and ±2.0% core strains, respectively. The core strain, ε, was defined as Δb/Ly for simplicity, where Δb was the brace axial deformation. The three core strain amplitudes corresponded to axial deformations of 1.67Δby, 5.00Δby, and 13.3Δby, where Δby=PyaLy/EAsc was the brace axial deformation at first yield.
Fig. 3. Loading types: constant-amplitude cycles with (a) a zero-mean strain; (b) a non-zero-mean strain; (c) SI; (d) 2SCA; (e) EQ1; (f) EQ2; and (g) EQ3.
Note that the brace deformation Δb was measured between the measuring points (marked as + in Fig. 2) outside the casing (also see Fig. 1). Because Δb contains the elastic strains outside the yield zone, the core strain determined by Δb/Ly would slightly overestimate the actual core strain. Based on the geometry of the BRBs tested in this research, core strains thus calculated would overestimate the actual core strain by about 5% when the braces are deformed in the elastic range. However, the overestimation would reduce to about 2.5% and 0.5% when the core strain reaches 0.25% and 2%, respectively. To apply a fatigue model to BRBs in real buildings, it is inevitable that the BRB axial deformation be measured in a way similar to that used in this test program. Therefore, such slight overestimation of the strains is acceptable.
Two additional specimens in the B series were tested with higher strains. Specimen B5 was tested with a constant amplitude of ±3.0% for a strain range of 6% and Specimen B6 was tested with ±2.5% cycles for a strain range of 5%. To evaluate the mean strain effect, Specimens B7 and B8 were tested with the same strain range as B6 but with a mean strain of +1 and 1%, respectively. That is, B7 was tested with the strain amplitudes at 1.5% and +3.5%, and B8 was tested with the strain amplitudes at 3.5% and +1.5%.
In the variable-amplitude test group, two specimens were subjected to symmetric cycles, i.e., with a zero-mean strain but with variable strain amplitudes. Specimen A5 was tested with repeats of a symmetric, increasing (SI) cyclic loading sequence [Fig. 3(c)], which was adapted from the loading protocol of the BRB qualification test prescribed in the AISC Seismic Provisions (AISC 2016), until fracture. Specimen C5 was subjected to a two-stage constant-amplitude (2SCA) test with symmetric cycles [Fig. 3(d)]. It was first subjected to a total of 1,100 cycles at ±0.25% strain to consume about a half of the fatigue life before ±0.75% strain cycles were applied until fracture.
Simulated earthquake loading tests were conducted for three specimens, one for each of the three series of specimens. These loading sequences were designated with EQ. Nonlinear time-history analyses were performed on an example four-story BRBF in the AISC Seismic Design Manual (AISC 2018) to generate the BRB core strain time histories. The nonlinear structural analysis software PISA3D (Lin et al. 2009) was used for the analyses. For scaling of the selected ground motions, the response spectrum of the maximum considered earthquake (MCE) based on SDS=1.0 and SD1=0.6 was first constructed (ASCE 2016). The analytical fundamental period, T1, for the BRBF model was 0.819 s.
Specimen A4 was subjected to the earthquake loading sequence EQ1 [Fig. 3(e)], which was repeated until the BRB fractured. This earthquake suite was composed of three parts. The first part was generated from a time-history analysis with an input motion from the 1989 Loma Prieta earthquake record (Gilroy Array #6 Station) scaled to the 120% MCE level at T1. The simulated core strain time history of a BRB in the first story is shown in the first part of Fig. 3(e). The second part of the response was based on the 1999 Hector Mine earthquake (Hector Station) scaled to the MCE level. Note that this part had a large residual strain. Reversing the sign of the strain time-history of this part constituted the third part such that the combined time history of the three parts had no residual strain.
Specimen B4 was tested with the loading sequence EQ2 [Fig. 3(f)] repeatedly until fracture. The first part of this earthquake suite was generated from a near-fault ground motion record (Sylmar-Converter Station) from the 1994 Northridge earthquake scaled to the MCE level. Reversing the sign of the first part constituted the second part, resulting in a zero residual strain.
Specimen C4 was tested with the loading sequence EQ3 [Fig. 3(g)] repeated until fracture. This earthquake suite was composed of six parts of MCE level earthquake responses. The first two parts were composed of two repeated core strain responses obtained from the analysis with a ground motion record (Gilroy Array #6 Station) from the 1989 Loma Prieta earthquake. Part 3 was the response from the 2016 Amberley earthquake in New Zealand (Kekerengu Valley Road Station); reversing the sign of this part constituted Part 4. Similarly, Parts 5 and 6 were the response from the 1985 Michoacán earthquake in Mexico (La Union, Guerrero Array Station).

Test Results

Table 2 summarizes results of the constant-amplitude tests. The BRB fatigue lives under the ±0.25%, ±0.75%, and ±2.0% strain cycles were on the order of 2,000, 200, and 20 cycles, respectively. Based on the limited test data, the BRBs survived 11 and 9 completed cycles for the ±2.5% and ±3.0% strain amplitudes, respectively.
Table 2. Constant-amplitude test results
Specimen No.Target strain range (%)Target strain amplitude (%)Number of completed cycles to failureRainflow counting resultsMaximum strain amplitudeCumulative inelastic deformation (CID)Average β
Number of cycles to failure, NfAverage strain range, Δεt¯ (%)Tension (%)Compression (%)
A10.5±0.252,0722,072.50.5090.28 (1.86Δy)0.30 (1.94Δy)5,5731.09
B12,3462,346.50.5300.30 (1.95Δy)0.31 (2.04Δy)6,7801.08
C12,2782,278.50.5190.37 (2.47Δy)0.32 (2.17Δy)6,7191.05
A21.5±0.75201201.51.5680.78 (5.10Δy)0.88 (5.76Δy)3,3461.13
B2174174.51.5700.91 (5.91Δy)0.89 (5.81Δy)2,8671.05
C2243243.51.5170.87 (5.80Δy)0.80 (5.32Δy)3,9571.05
A34.0±2.01616.54.0272.15 (14.09Δy)2.09 (13.76Δy)8081.39
B32222.54.1532.18 (14.15Δy)2.13 (13.87Δy)1,1261.15
C33131.53.9562.06 (13.75Δy)2.14 (14.25Δy)1,5421.10
B65.0±2.51111.54.9362.65 (17.26Δy)2.60 (16.90Δy)6941.13
B71.50/+3.501414.54.9343.66 (23.82Δy)1.59 (10.33Δy)875
B83.50/+1.501010.54.8461.57 (10.23Δy)3.64 (23.66Δy)624
B56.0±3.099.55.8553.22 (20.95Δy)3.05 (19.81Δy)6871.23
Fig. 4 shows the measured axial deformation time-history a sample specimen (Specimen B1) from a symmetric constant-amplitude test. For a BRB like this one with a high force requirement (Pya=2,220  kN), it was not possible to complete all the cycles required to fracture the core (more than 2,300 cycles) in one test run due to hydraulic limitations of the test facility. Therefore, this test was completed in 12 separate test runs (the duration between each test run was about 20 min). This example response shows that the test facility was not able to reproduce faithfully the target amplitude. This was accounted for by using the actual averaged strain amplitudes recorded to develop low-cycle fatigue models. Fig. 5 shows sample hysteretic responses of the B Series specimens tested with constant-amplitude cycles and a zero-mean strain.
Fig. 4. Sample BRB axial deformation time-history (Specimen B1).
Fig. 5. Hysteretic responses of B series specimens (constant-amplitude tests with a zero-mean strain).
For specimens subjected to constant-amplitude tests, the normalized total inelastic axial deformation for the ith cycle, μi, with a deformation level greater than the yield deformation Δby is given by
μi=2|Δi+Δi|Δby4
(1)
where Δi+ and Δi = peak tension and compression deformations for the ith cycle, respectively. The cumulative inelastic deformation (CID) is then computed as the sum of the normalized inelastic axial deformation of each cycle up to fracture
CID=μi
(2)
See Table 2 for the calculated CID values. For BRB qualification tests, AISC Seismic Provisions (AISC 2016) require tested BRBs to achieve a CID of at least 200. All the constant-amplitude test specimens achieved a CID greater than this requirement. The CID of the ±0.25% strain specimens reached from 5,600 to 6,800. The ±0.75% strain specimens withstood a CID ranging from 2,900 to 4,000. The specimens tested with ±2.0% strains sustained a CID between 800 and 1,500. When the strain amplitude was increased to ±2.5% and ±3.0%, the BRB still achieved a CID of 694 and 687, respectively. It is apparent that the larger the imposed strain amplitude, the smaller the CID the BRBs will likely achieve.
In addition, Table 2 lists the averaged compressive overstrength factor, β, for the constant-amplitude tests with a zero-mean strain. The β is defined as Pmax/Tmax, where Pmax and Tmax are the brace axial forces at the peak compression and tension displacements in each cycle, respectively. Test results showed that the average β value was less than the AISC limiting value of 1.5 for all specimens.
To show the mean strain effect, Fig. 6 shows the test results of the three Series B specimens tested with the same strain range (5%) but with different mean strains. Specimen B6, which had a zero-mean strain (i.e., the strain amplitude ranged from 2.5% to +2.5%), withstood 11 completed cycles and ruptured just before the positive tensile strain excursion in the 12th cycle was reached. Specimen B7 was tested with a mean strain of +1.0% (i.e., the strain amplitude ranged from 1.5% to +3.5%) and survived 14 completed cycles. Specimen B8 was loaded in a manner similar to that of Specimen B7 but with a mean strain of 1.0% (i.e., the strain amplitude ranged from 3.5% to +1.5%). The specimen ruptured before completing 10 cycles. Based on this limited database, a positive (tensile) mean strain would increase the BRB fatigue life, but a negative (compressive) mean strain would decrease the fatigue life. These results suggest that compression strains are more detrimental to BRB fatigue life than tension strains. The higher localized strains that result from the high-mode buckling of steel core in compression are believed to be the primary culprit. Also, the compressive strains tend to oblate microvoids, which could exacerbate the ductile fracture process (Kanvinde and Deierlein 2007).
Fig. 6. Test results of three specimens subjected to 5% strain range cycles: (a) Specimen B7 (mean strain = +1%); (b) Specimen B6 (mean strain = 0); and (c) Specimen B8 (mean strain = 1%).
Fig. 7 shows the core strain time-histories and hysteretic responses of variable-amplitude tests. Table 3 summarizes the test results. Specimen A5 completed six test runs of the adapted AISC protocol [Fig. 3(c)] and fractured during the first 2.0% cycle in the seventh test run [Fig. 7(a)]; the value of CID reached 1,580 at rupture. Specimen C5 first completed 1,100 cycles at ±0.25% strain amplitude, followed by another 113 cycles of ±0.75% strain cycles before fracture [Fig. 7(b)]. The specimen developed a CID value of 5,033. Figs. 7(c–e) show the responses of the three specimens tested with simulated earthquake responses. Specimens A4, B4, and C4 generated CID values of 1,584, 1,592, and 998, respectively. It is noted that each of these three specimens survived the simulated MCE response more than 10 times.
Fig. 7. Variable-amplitude test results: Specimens (a) A5; (b) C5; (c) A4; (d) A4; and (e) C4.
Table 3. Variable-amplitude test results
Specimen No.Loading sequenceRainflow counting resultsMaximum strain amplitudeMean strain (%)Cumulative inelastic deformation (CID)
Number of cycles, NfAverage strain range, Δεt¯ (%)Maximum strain range (%)Tension (%)Compression (%)
A5SI68.52.0594.1422.05 (13.44Δy)2.10 (13.77Δy)0.0401,580
C52SCA1,214.50.6101.7200.83 (5.51Δy)0.89 (5.97Δy)0.0185,033
A4EQ1415.00.4876.2473.27 (21.41Δy)2.98 (19.52Δy)0.1571,584
B4EQ2443.50.4764.6582.81 (18.27Δy)1.85 (12.03Δy)0.4561,592
C4EQ3848.50.2134.8362.72 (18.16Δy)2.11 (14.11Δy)0.076998

Low-Cycle Fatigue Model Development

Standard Model

Results from 11 constant-amplitude tests with a zero-mean strain were used to establish low-cycle fatigue (LCF) models for BRBs. Fig. 8 shows a representative single-cycle stress-strain (σ-ε) response of a BRB. The average core strain is computed as ε=Δb/Ly, and the average core stress corresponds to the measured brace axial force by the core area Asc. The hysteresis loop consists of a compression excursion (from Points A to B) and a tension excursion (from Points B to A). The strain range, also referred to as the total strain range and denoted as Δεt, is defined as the absolute strain excursion in a tension or a compression excursion. Each strain range is composed of an elastic and a plastic components. The elastic component, Δεe, is obtained by dividing the stress range between points A and B by the elastic modulus, E
Δεe=ΔσE
(3)
Fig. 8. Typical hysteresis loop.
Then, the plastic component, Δεp, is
Δεp=ΔεtΔεe
(4)
To account for the small variations of the strain amplitudes in the measured response, Δεt, Δεe, and Δεp represent the values averaged over all cycles for each specimen.
Test results in Fig. 9 shows the relationships between strain ranges (Δεt, Δεe, or Δεp) and the number of cycles to failure Nf in the log-log plot. Note that Nf is determined from the rainflow cycle counting method (Matsuishi and Endo 1968; ASTM 2017). Note that a linear trend is in both the Δεe-Nf and Δεp-Nf relationships in the log-log space, a phenomenon frequently observed in metallic materials (Raske and Morrow 1969). Regression analysis was then performed to establish the following strain range-life relationships:
logNf=17.04827.8174(logΔεe)
(5)
logNf=1.29361.8304(logΔεp)
(6)
Fig. 9. Δε versus Nf relationships and low-cycle fatigue model.
The coefficients of determination, R2, for Eqs. (5) and (6) are 0.985 and 0.988, respectively. Both R2 values are greater than 0.98, which justifies the linear regression model. The adequacy of these linear models was also verified by a statistical test based on the F-distribution stipulated in ASTM E739-10 (ASTM 2015).
To derive a LCF model for BRBs, Eqs. (5) and (6) are first rewritten as follows:
Δεe=0.0066Nf0.1279
(7)
Δεp=0.1965Nf0.5463
(8)
in which the strain ranges are expressed as power functions of Nf. The proposed strain-life relation for elastic strain range in Eq. (7) is in a form equivalent to the Basquin’s equation (Basquin 1910), which describes the relationship between elastic strain and fatigue life in the high-cycle, low-strain domain. Past experiments (Landgraf 1968) showed that, for steel metals, the log-log linear strain-life curve for the elastic strain component obtained from LCF tests can generally be used to extrapolate the strain-life relationship for high-cycle fatigue (HCF). Because no HCF tests have been conducted for BRBs, it is therefore reasonable to assume that Eq. (7) can be used to estimate the elastic strain-life relationship. Eq. (8), which describes the low-cycle, high-strain behavior of BRBs, is expressed in a form equivalent to the Coffin-Manson equation (Coffin 1954; Manson 1953), a form commonly used for LCF of metallic materials. However, as illustrated in Fig. 8, extracting the plastic strain ranges from a BRB loading history requires the information of the force-deformation history. It is more desirable to develop a LCF model that describes the relationship between fatigue life and total strain range because it only requires the BRB deformation history. Therefore, a standard low-cycle fatigue model relating the total strain range to the fatigue life for BRBs is proposed by summing up Eqs. (7) and (8)
Δεt=Δεe+Δεp=0.0066Nf0.1279+0.1965Nf0.5463
(9)
This model is expressed in a form equivalent to the Coffin-Manson-Basquin equation (Morrow 1965), the only difference being that the strain range, not strain amplitude, is used in the model. As shown in Fig. 9, Eq. (9) is a nonlinear curve in the log-log plot. It is asymptotic to the elastic curve [Eq. (7)] at the low end of the strain range and plastic curve [Eq. (8)] at the high end.
The fatigue life at which Eqs. (7) and (8) intersects is the transition fatigue life, Ntr=3,334, and the corresponding strain range, Δεtr, is 0.00467. Assuming an A36 steel core with an actual yield stress of 298 MPa, this Δεtr corresponds to 3.2εy, where εy is the yield strain. For a fatigue life shorter than Ntr (or Δεt>0.00467), LCF governs, while HCF dominates for Nf larger than Ntr (or Δεt<0.00467). As shown in Fig. 9, all constant-amplitude tests conducted in this study lie in the LCF region.

Alternative Model

Eq. (9) is designated as the standard LCF model in this paper. It considers the effects of both elastic and plastic components of the strain response on the fracture life. When used in situations like bridges, BRBs are expected to experience a significant number of cycles in the elastic range due to traffic loads before a seismic event occurs. Eq. (9) is, therefore, considered appropriate for this type of application when high-cycle fatigue damage that has accumulated before a seismic event cannot be ignored. A closed-form expression for Nf as a function of Δεt is impossible to derive from Eq. (9). Therefore, an iterative procedure is required to solve Nf for a given Δεt. For applications in buildings where the elastic strain contribution to fracture in a seismic event is expected to be small, an alternative fatigue model that relates Δεt to Nf directly can be developed from the same test data set.
Using the same Δεt-Nf data points as shown in Eq. (9), the linear regression result follows (Fig. 10)
logNf=1.82152.2695(logΔεt)
(10)
Fig. 10. Comparison of low-cycle fatigue models.
The coefficients of determination, R2, is 0.994. Eq. (10) is then rearranged so that Nf is expressed as a power function of Δεt for ease of practical use, resulting in an alternative LCF model for BRBs
Nf=0.0151(Δεt)2.2695
(11)
A comparison of this alternative model and the standard one is presented in Fig. 10. It shows that the two BRB fatigue models are very similar in the LCF domain. However, the discrepancy of the two BRB models in the HCF domain suggests that the alternative model would underestimate the HCF life as in, for example, bridge applications.

Comparisons with Different Fatigue Tests and Models

In Fig. 10, a fatigue model for A36 steel material in the Coffin-Manson-Basquin relation that was proposed by Higashida et al. (1978) is also added
Δεt=0.0098Nf0.1320+0.3965Nf0.4510
(12)
Note that the curve for A36 steel material is to the right and above the BRB curves. Taking a total strain range of 0.04 for example, an A36 steel material has a fatigue life of 215 cycles. However, it reduces to Nf=22.83 and 22.47, which is predicted by Eqs. (9) and (11), respectively, for a BRB. This indicates that the fatigue life of a BRB is shorter than that of A36 steel material. This shortened fatigue life of BRBs is attributed to large strains produced by high-mode buckling responses in the steel core.
Available low-cycle fatigue test data on BRBs is limited, and it is judged that any low-cycle fatigue is dependent on factors like the grade of steel core, details of the buckling-restraining mechanism, gap size in the debonding zone, and stiffness of the concrete grout. With this in mind, the proposed fatigue model is compared with that proposed by Takeuchi et al. (2008), which is based on constant-amplitude fatigue tests of 11 BRBs conducted by Nakamura et al. (2000); the steel cores were made from LY100, LY220, and SN400B steels, and the measured yield stresses were 95, 231, and 259 MPa, respectively, lower than that of the A36 steel cores (with a measured yield stress of 303 MPa) for the BRBs investigated in this study. The BRB fatigue model of Takeuchi et al. (2008) is trilinear in the log-log plot (also shown in Fig. 10). Implications on the effect of steel grade, among others, on the BRB fatigue performance are provided subsequently.
As shown in Fig. 10, the middle segment of the trilinear model matches reasonably well with the proposed model in the strain range between 0.005 and 0.02. However, the trilinear model would predict a much lower fatigue life in the strain range lower than 0.004. At this level of strain range, steel cores of A36 steel just start to yield and experience limited yielding, but plastic deformations in lower yield strength steel cores is probably doubled. The upper end of the trilinear model, on the other hand, would predict a much higher fatigue life for strain range above 0.04. It should be noted that, in the experiments conducted by Nakamura et al. (2000), only two BRBs were tested with a strain range equal to or larger than 0.04, while about half of the specimens were subjected to a strain range from 0.0016 to 0.004. Therefore, the trilinear model was heavily anchored by the test data with smaller strains.

95% Prediction Intervals

For the purpose of developing design curves while addressing the variation of fatigue behavior, the prediction intervals with a confidence level of 95% for the linear regression models in the log-log space for the three strain range-life relationships [Eqs. (5), (6), and (10)] were determined from a simplified formula proposed by Schneider and Maddox (2003)
(logNf).95±=A+B(logΔε)±t.95σ^1+1k
(13)
where k (=11) = number of BRB specimens used in the analysis; and t.95 (=2.2622) = value for Student’s tdistribution with a degree of freedom of (k2) for a confidence level of 95%. Coefficients A and B are the intercept and slope of the linear model equations. The mean square error, σ^2, which is the best estimate of the variance of the normal distribution for logNf, is computed as follows:
σ^2=i=1k(YiY^i)2k2
(14)
where Yi and Y^i = observed logNf and predicted logNf, respectively, for the ith specimen. The computed root mean squared errors, σ^, for Eqs. (5), (6), and (10), are 0.1212, and 0.1069, and 0.0792, respectively. Substituting these values into Eq. (13) results in the following upper and lower bounds of the prediction intervals:
(logNf).95±=7.8174(logΔεe)17.0482±0.2863
(15)
(logNf).95±=1.8304(logΔεp)1.2936±0.2526
(16)
(logNf).95±=2.2695(logΔεt)1.8215±0.1872
(17)
Each of these intervals is very close to the corresponding theoretical prediction interval, of which the boundaries are hyperbolic lines in log-to-log space (Li et al. 2018).
In order to approximate the 95% prediction interval for the standard model [Eq. (9)], Eqs. (15) and (16) for the 95% prediction bounds of logNf-logΔεe and logNf-logΔεp relationships are first rewritten such that the strain range is expressed as a power function of Nf. Summing up the expressions for the elastic and plastic components gives the 95% prediction interval bounds for the standard model
UpperBound:Δεt=0.0072Nf0.1279+0.2700Nf0.5463
(18a)
Lower Bound:Δεt=0.0061Nf0.1279+0.1430Nf0.5463
(18b)
Fig. 11(a) shows the standard fatigue model with its two-sided 95% prediction interval. The lower bound of the 95% prediction is equivalent to the lower bound of a one-sided 97.5% prediction interval (Schneider and Maddox 2003). It can be used as the prediction curve, which has only about 2.5% chance to overestimate the BRB fatigue life.
Fig. 11. 95% prediction intervals: (a) standard model; and (b) alternative model.
Following the similar procedure for the logNf-logΔεt relationship in Eq. (17), the 95% prediction interval for the alternative model [Eq. (11)] is
Upper Bound:Nf=0.0232(Δεt)2.2695
(19a)
Lower Bound:Nf=0.0098(Δεt)2.2695
(19b)
Fig. 11(b) shows the alternative fatigue model and the corresponding 95% prediction interval.

Low-Cycle Fatigue Damage Assessment of BRB

Damage Index and Damage Assessment Procedure

To apply the proposed fatigue models to assess the damage of BRBs subjected to random cyclic displacement time-history, the rainflow counting method (Matsuishi and Endo 1968; ASTM 2017) is firstly applied to the steel core strain history such that entire loading history can be broken down into a series of full-cycles and half-cycles; each cycle has its own corresponding strain range. The rainflow counting results are then used to calculate the Miner’s damage index, D (Miner 1945)
D=j=1Nfull1Nfj+12[k=1Nhalf1Nfk]
(20)
where Nfull and Nhalf = numbers of full-cycles and half-cycles, respectively; and Nfj = predicted fatigue life corresponding to the total strain range, Δεtj, achieved in the jth full-cycle of the loading history, while Nfk is the predicted fatigue life corresponding to the strain range, Δεtk, achieved in the kth half-cycle. It is assumed in Eq. (20) that a full cycle of loading with a total strain range Δεtj would consume a damage or D-value of 1/Nfj, while a half cycle of loading with a total strain range Δεtk would consume a fatigue life of 1/(2Nfk). A value of D reaching 1.0 would predict the fracture of a BRB. Depending on whether the standard or alternative fatigue model is used, Eqs. (9) or (11) is used to solve Nfj and Nfk.

Verification of Damage Assessment Procedure

Based on the proposed damage assessment procedure, values of D-indices generated from the core strain histories of all test specimens up to fracture were computed based on four fatigue models: (1) standard model, (2) alternative model, (3) 95% prediction interval lower bound (95%-PILB) of the standard model, and (4) 95%-PILB of the alternative model. A D-index smaller than 1.0 indicates that the BRB specimen actually ruptured earlier than that predicted, i.e., a nonconservative prediction. On the other hand, a D-index larger than 1.0 indicates that the BRB ruptured later than the prediction, i.e., a conservative prediction.
Fig. 12(a) shows the D-values determined from two proposed fatigue models [Eqs. (9) and (11)] for all test specimens arranged in an order that the amplitude or randomness of the core strain history is increasing from left to right. It is observed that the D-values from two proposed models are similar and both fluctuate around 1.0. Also, variations of the D-values for the variable-amplitude and constant-amplitude tests are similar. D-values from the standard model range from 0.69 to 1.41 with an overall mean value of 1.02 and an overall coefficient of variation (COV) of 21.2%, while D-values from the alternative model range from 0.76 to 1.38 with an overall mean value of 1.02 and an overall COV of 17.8%. The accuracy of the alternative model is somewhat better than the standard model, especially for the three constant-amplitude tests (A2, B2, and C2) at a core strain amplitude of ±0.75%. The alternative model also provides a better prediction for four constant-amplitude tests (B5 to B8) with an imposed strain range equal to or larger than 5%. However, this observation should be viewed with caution considering the variable nature of the limited low-cycle fatigue test data for developing these two models.
Fig. 12. D-values: (a) fatigue models; and (b) 95% prediction interval lower bounds.
Fig. 12(b) shows the distribution of the D-values determined from the 95%-PILBs of the two proposed fatigue models. D-values based on the standard model range from 1.24 to 2.52 with a mean value of 1.83 and a COV of 21.2%, while the D-values based on the alternative model range from 1.16 to 2.13 with a mean value of 1.57 and a COV of 17.8%. Based on the test data considered in this study, the alternative model has a better accuracy and less variation than that of the standard model. Note that the purpose of developing the 95%-PILBs is to provide a design curve, which would have a probability of 97.5% that the BRB fatigue life is not overestimated. All D-values for the 18 test specimens assessed by the two 95%-PILBs are indeed greater than 1.0.
A detailed breakdown of the statistics on D-values assessed by both proposed models is provided in Tables 46. For the constant-amplitude tests with a zero-mean strain, Table 4 shows that the standard and alternative models give very similar means of the D-value (1.03 and 1.02), but the former has a higher COV (22.4 versus 17.3%). For both models, it can be found that the higher the imposed strain amplitude, the greater the variation in the fatigue performance. There is no obvious trend between the D-values and brace strengths.
Table 4. D-indices for constant-amplitude tests
Target strain amplitudeSpecimen No.Standard modelAlternative model
D-indexMean D-indexCOVD-indexMean D-indexCOV
±0.25%A10.810.9211.9%0.860.9810.8%
B11.021.07
C10.951.00
±0.75%A21.251.2512.8%1.071.0712.7%
B21.090.93
C21.411.20
±2.00%A30.741.0629.4%0.761.0829.1%
B31.071.10
C31.361.38
±2.50%B60.770.84
±3.00%B50.901.03
  Mean=1.03Mean=1.02
  COV=22.4%COV=17.3%
Table 5. D-indices for variable-amplitude tests
Loading typeLoading sequenceSpecimen No.Standard modelAlternative model
D-indexMean D-indexCOVD-indexMean D-indexCOV
Symmetric cycles with variable amplitudeSIA51.111.120.77%1.091.072.07%
2SCAC51.131.06
Simulated earthquake responseEQ1A41.261.0225.1%1.341.0527.3%
EQ2B41.031.03
EQ3C40.750.77
   Mean=1.06Mean=1.06
   COV=17.9%COV=19.2%
Table 6. D-indices for constant-amplitude tests with 5%-strain range cycles
Strain amplitude (mm/mm)Mean strain (mm/mm)Specimen No.Standard modelAlternative model
D-indexMean (COV)D-indexMean (COV)
±2.5%0%B60.770.81 (18.3%)0.840.88 (18.5%)
1.5%/+3.5%+1%B70.981.07
3.5%/+1.5%1%B80.690.75
Table 5 shows that the mean D-values from both models are the same (1.06) for the variable amplitude tests, but the standard model provides a slightly lower COV (17.9 versus 19.2%). For the three specimens (A4, B4, and C4) that were tested with the simulated earthquake loading, the mean (1.02) and COV (25.1%) of the D-values are similar to those of the constant-amplitude tests (Table 4).

Effects of Mean Strain

Table 6 shows the D-value statistics for the three constant-amplitude tests with the same imposed strain range (5%). Two observations can be made. First, both fatigue models overpredict the fatigue life, although the alternative model performs better (a mean value of 0.88 versus 0.81). Secondly, the accuracy of the models is dependent on the mean strain. For a given strain range, this group of specimens clearly shows that the larger the compressive strain, the lower the fatigue life. This is justifiable because the relatively large curvatures due to the high-mode local buckling of the steel core resulting from the larger mean compressive strain are believed to be the primary culprit. Because the proposed models do not consider the mean strain effect, it is expected that the proposed fatigue models will overestimate the BRB fatigue life when the BRB core strain history has a notable mean compressive strain. (e.g., Specimen B8). Although the proposed models do not take into account the effect of mean strain, Fig. 11 shows that the data points for the two specimens (B7 and B8) tested with a large mean strain still fall in the 95% prediction intervals.

Effects of Earthquake-Type Loading

Simulated BRB responses of a four-story BRBF from five ground motion records of past earthquakes, scaled to the MCE level, were used to test three specimens (A4, B4, and C4). Each specimen experienced multiple runs of excitation before the steel core fractured, demonstrating the robustness of modern BRBs. For example, Specimen B4 was subjected to the complete loading sequence EQ2 [Fig. 3(f)] 11 times before fracture. Because EQ2 was composed of one MCE response produced by a near-fault ground motion (Sylmar-Converter Station) from the 1994 Northridge earthquake) in the first half and the same MCE response but with the sign reversed in the second half, Specimen B4 effectively withstood the MCE excitation 22 times. The robustness of this BRB can be explained by the proposed fatigue life assessment procedure as follows.
Consider one typical MCE response from the test. Using the rainflow counting to break the strain response into bins of different strain range intervals, the D-value assessed by the standard fatigue model [Eq. (9)] and the cumulative core strain contributed from each bin are shown in Fig. 13; the total D-value produced by one response is 0.0423. Because the strain range at the transition fatigue life, Ntr, is 0.00467, strain excursions with a strain range not exceeding 0.005 are mainly dominated by HCF. Fig. 13 shows that the cumulative core strain in this strain interval is significant (27.2% of the total cumulative core strain), but this bin contributes very little (0.9%) to the total D-value. The remaining bins for strain excursions with a strain range larger than 0.005 are associated with LCF. In particular, the bin with a strain range between 0.040 and 0.045 due to two large pulse contributes 21.8% of the cumulative core strain and it is responsible for 55.4% of the total D-value. Because HCF contributes little to the D-value during this earthquake response, using the assessment procedure with the alternative fatigue model [Eq. (11)] yields a similar conclusion.
Fig. 13. One typical MCE response of Specimen B4: (a) core strain time history; (b) distribution of cumulative core strain; and (c) distribution of cumulative D-value.

Summary and Conclusions

To provide a tool that allows the designer to assess the remaining life of buckling-retrained braces (BRBs) and to determine if these braces need to be replaced after a seismic event, a set of cyclic tests to failure was performed. These tests include a total of 18 full-scale braces tested at the SRMD facility at the University of California San Diego. Eleven of these specimens were tested with constant strain amplitudes with a zero-mean strain, and the test data were used to establish one standard [Eq. (9)] and one alternative [Eq. (11)] fatigue model. In addition to the mean fatigue life, prediction intervals with a confidence level of 95% are also developed [Eqs. (18) and (19)]. Together with the rainflow counting method and the Miner’s damage rule, a procedure to assess the fatigue damage of BRB is proposed. The accuracy of the proposed procedure is verified not only by these 11 tests but also two constant-amplitude tests with a non-zero-mean strain, and five variable-amplitude tests. The following conclusions can be made:
1.
The standard low-cycle fatigue model [Eq. (9)] considers the contributions from both elastic and plastic strain components, and, therefore, is applicable to the entire strain range. This model is recommended for situations where the contribution from the cyclic response in the elastic range cannot be ignored. For example, BRBs for bridge applications may accumulate a significant amount of high-cycle fatigue damage due to traffic and wind loads before a seismic event occurs. Note, however, that the high-cycle fatigue component in Eq. (9) was extrapolated from the elastic strain component in low-cycle fatigue tests conducted in this research because no high-cycle fatigue test data on BRBs are available. Although such extrapolation has been confirmed for steel base metal (Landgraf 1968), future high-cycle testing is needed to confirm this extrapolation to BRBs;
2.
While the standard fatigue model is also applicable for seismic assessment of structures like buildings where the contribution of elastic response to BRB fatigue damage is very limited, an alternative, more use-friendly fatigue model [Eq. (11)] is proposed. This model is not intended for situations like bridge applications because it would seem to overestimate the contribution of the small strain-amplitude cycles to the fatigue damage, resulting in an underestimate of the fatigue life;
3.
The proposed fatigue damage assessment procedure with either standard or alternative fatigue model predicts reasonably well the fracture of BRBs with different loading sequences [Fig. 12(a)]. The procedure with the lower-bound of 95% prediction interval conservatively predicts the fracture of all 18 test specimens [Fig. 12(b)];
4.
A comparison of the fatigue life of three BRBs (Specimens B6, B7, and B8) that were tested with the same strain range (5%) but with different mean strains shows that a compressive mean strain would reduce the fatigue life, while a tensile mean strain would increase the fatigue life (Fig. 6). While the fatigue models developed in this study have yet to incorporate the mean strain effect, the 95% prediction models conservatively predict the fracture of these specimens [Fig. 12(b)];
5.
The difference in fatigue life consumption betwen tensile and compressive strains indicates that the high-mode local buckling of steel core is an important factor for the low-cycle fatigue performance of BRBs. The comparison of BRB fatigue test results between this reseach and that by Nakamura et al. (2000) shows that BRBs with lower-yield-strength steel cores have a shorter fatigue life in the high-cycle low-strain region; and
6.
Three BRB specimens that were tested with simulated earthquake responses showed very robust performance. For example, Specimen B4 was subjected to an MCE level response 22 times before the steel core ruptured [Fig. 7(d)]. The robustness of this brace can be explored by the proposed fatigue damage assessment procedure (Fig. 13): (1) each MCE response only produced a total damage index (D) of 0.0423; (2) while elastic strain ranges contributing to high-cycle fatigue represented 27.2% of the total cumulative strain, it produced only 0.9% of the total damage index; and (3) two large pulses from this near-fault ground response constituted only 21.7% of the total cumulative strain, yet it produced 55.4% of the total damage index.
It should be noted that the proposed fatigue models are based on one type of commercially available BRBs with A36 steel core. Because the fatigue performance of BRBs would be affected by parameters such as steel grade of the core plate, details of the buckling-restraining mechanism, stiffness of the concrete grout, and gap size in the debonding zone, different BRB fatigue models would need to be developed when the aforementioned parameters deviate significantly from the ones investigated in this research.

Data Availability Statement

Some or all data, models, or code generated or used during the study are proprietary or confidential in nature and may only be provided by CoreBrace, LLC, with restrictions. However, some data could be shared with reviewers on a limited basis as needed.

Acknowledgments

The authors would like thank Messrs. D. Innamorato and E. Stovin, staff members of Seismic Response Modification Device (SRMD) Test Facility at the University of California, San Diego, for their technical assistance towards the completion of this test program.

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Journal of Structural Engineering
Volume 148Issue 2February 2022

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Received: Mar 15, 2021
Accepted: Sep 15, 2021
Published online: Nov 19, 2021
Published in print: Feb 1, 2022
Discussion open until: Apr 19, 2022

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Chao-Hsien Li [email protected]
Graduate Student Researcher, Dept. of Structural Engineering, Univ. of California, San Diego, La Jolla, CA 92093. Email: [email protected]
Senior Engineer, CoreBrace, LLC, 5789 Wells Park Rd., West Jordan, UT 84081. Email: [email protected]
Technical Director, CoreBrace, LLC, 5789 Wells Park Rd., West Jordan, UT 84081. ORCID: https://orcid.org/0000-0003-0413-2353. Email: [email protected]
Mathew Reynolds [email protected]
Structural Engineer, Kiewit, 4350 Still Creek Dr. Suite 210, Burnaby, BC, Canada V5C 6C6. Email: [email protected]
Professor, Dept. of Structural Engineering, Univ. of California, San Diego, La Jolla, CA 92093 (corresponding author). ORCID: https://orcid.org/0000-0002-8467-9748. Email: [email protected]; [email protected]

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