Evaluation of Wind Load Factors of RC Columns for Wind Load–Governed Limit State in Reliability-Based Design Code
Publication: Journal of Bridge Engineering
Volume 22, Issue 9
Abstract
This paper presents a general approach for evaluating wind load factors based on measured wind data for RC columns. Reliability analyses were carried out by an advanced first-order second-moment reliability method to investigate the wind load–governed limit state for the RC pylons of five cable-supported bridges in Korea. The axial force-bending moment (P-M) interaction diagrams of the pylons define the limit-state function. Load and strength parameters were considered random variables in the reliability analysis. The statistical parameters of wind load were determined by Monte Carlo simulation. Based on the results of the reliability analysis, dead load factors were set to the bias factors of dead load components, and a P–M interaction diagram drawn by the mean values of the strength parameters was used to define a design equation. The failure point of the wind load was obtained by equating the nonexceedance probability at the failure point of wind load to the probability of safety corresponding to a given reliability index. An analytical form of the wind load factor was derived in terms of the statistical parameters of wind load and the target reliability index. The wind load factor was adjusted to be used with the dead load factors and the resistance factor specified in a reliability-based design code. Validity of the proposed load factors was verified through a reliability assessment of the pylon sections of the five bridges. It is shown that the proposed load factors secure the target reliability levels within a 2% error.
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Acknowledgments
This research was supported by a grant (17SCIP-B119964-02-000000) from the Ministry of Land, Transport and Maritime Affairs of the Korean government through the Korea Bridge Design & Engineering Research Center of Seoul National University.
References
AASHTO. (2014). AASHTO LRFD bridge design specifications, Washington, DC.
Ang, A. H.-S., and Tang, W. H. (2007). Probability concepts in engineering: Emphasis on applications to civil and environmental engineering, 2nd Ed., John Wiley & Sons, Hoboken, NJ.
ASCE. (2013). “Minimum design loads for buildings and other structures.” ASCE/SEI 7-10, Reston, VA.
Bartlett, F. M., Hong, H. P., and Zhou, W. (2003). “Load factor calibration for the proposed 2005 edition of the National Building Code of Canada: Statistics of loads and load effects.” Can. J. Civ. Eng., 30(2), 429–439.
CEN (Comité Européen de Normalization). (2002). “Actions on structures—Part 1-4: General actions—Wind actions.” Eurocode 1, Brussels, Belgium.
Diniz, S. M. C., and Simiu, E. (2005). “Probabilistic descriptions of wind effects and wind-load factors for database-assisted design.” J. Struct. Eng., 507–516.
Ellingwood, B. R., Galambos, T. V., MacGregor, J. G., and Cornell, C. A. (1980). Development of a probability based load criterion for American National Standard A58, National Bureau of Standards, Washington, DC.
Ellingwood, B. R., and Tekie, P. B. (1999). “Wind load statistics for probability-based structural design.” J. Struct. Eng., 453–463.
Gabbai, R. D., Fritz, W. P., Wright, A. P., and Simiu, E. (2008). “Assessment of ASCE 7 standard wind load factors for tall building response estimates.” J. Struct. Eng., 842–845.
Ghosn, M., Moses, F., and Wang, J. (2003). “Design of highway bridges for extreme events.” NCHRP Rep. 489, Transportation Research Board, Washington, DC.
Haldar, A., and Mahadevan, S. (2000). Probability, reliability and statistical methods in engineering design, John Wiley & Sons, New York, 181–224.
Hong, H. P., Hu, Z., and King, J. P. C. (2009). “Gust response of bridges to spatially varying wind excitations and calibration of wind load factors.” HIIFP-075, Highway Standards Branch, Ontario Ministry of Transportation, Ontario, Canada.
Kim, J. H., Lee, S. H., Paik, I., and Lee, H. S. (2015). “Reliability assessment of reinforced concrete columns based on the P-M interaction diagram using AFOSM.” Struct. Saf., 55, 70–79.
KMOLIT (Korea Ministry of Land, Infrastructure and Transport). (2016). Korean highway bridge design code (limit state design)—Cable supported bridges, KMOLIT, Sejong-si, Korea.
Kreyszig, E. (2006). Advanced engineering mathematics, 9th Ed., John Wiley & Sons, Hoboken, NJ.
Lee, H. S., Kim, J. H., Lee, H. H., Lee, S. H., and Paik, I. (2016). “Korean highway bridge design code (limit state design)—Cable supported bridges: Code calibration.” KBRC TRS 048, Korea Bridge Design and Engineering Research Center, Seoul (in Korean).
Minciarelli, F., Gioffre, M., Grigoriu, M., and Simiu, E. (2001). “Estimates of extreme wind effects and wind load factors: Influence of knowledge uncertainties.” Probab. Eng. Mech., 16(4), 331–340.
Nowak, A. S. (1999). “Calibration of LRFD bridge design code.” NCHRP Rep. 368, Transportation Research Board, Washington, DC.
Rackwitz, R., and Fiessler, B. (1978). “Structural reliability under combined random load sequences.” Comput. Struct., 9(5), 489–494.
Rogers, A. L., Rogers, J. W., and Manwell, J. F. (2005). “Comparison of the performance of four measure-correlate-predict algorithms.” J. Wind Eng. Ind. Aerodyn., 93(3), 243–264.
Simiu, E., and Scanlan, R. H. (1999). Wind effects on structures—Fundamentals and application to design, John Wiley & Sons, New York, 327–331.
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© 2017 American Society of Civil Engineers.
History
Received: Nov 9, 2016
Accepted: Apr 5, 2017
Published online: Jun 22, 2017
Published in print: Sep 1, 2017
Discussion open until: Nov 22, 2017
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