Probabilistic and Experimental Investigation of the Effect of Mineral Adsorbents on Porous Concrete Using Kriging, PRSM, and RBF Methods
Publication: ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A: Civil Engineering
Volume 8, Issue 4
Abstract
The use of porous concrete for paving urban pathways and reducing water pollution is particularly important. Pumice, scoria, zeolite, travertine, and metal sulfide nanoparticles can reduce water pollution. In this study, the effect of the volume percentage of several adsorbents, such as pumice, scoria, zeolite, travertine, and iron sulfide nanoparticles, as alternatives to concrete aggregates, was investigated with regard to the physical properties of concrete specimens, including compressive strength, porosity, and permeability coefficient. In order to study the effect of the adsorbents, a surrogate model trained by metamodel methods was used. Kriging, polynomial response surface method (PRSM), and radial basis function (RBF) methods were used as metamodel approaches. Kriging was found to have the least error in estimating compressive strength, porosity, and permeability coefficients. The failure probabilities of the performance functions defined by the kriging, PRSM, and RBF methods were estimated to be 0.0081, 0.0080, and 0.0019, respectively.
Get full access to this article
View all available purchase options and get full access to this article.
Data Availability Statement
Data, models, or code supporting the findings of this study are available upon reasonable request from the corresponding author.
References
ACI (American Concrete Institute). 2002. Guide for selecting proportions for no-slump concrete. ACI Committee 211. Farmington Hills, MI: ACI.
ACI (American Concrete Institute). 2006a. Guide for selecting proportions for no-slump concrete. ACI 211.3R. Farmington Hills, MI: ACI.
ACI (American Concrete Institute). 2006b. Pervious concrete. ACI Committee 522R-06. Farmington Hills, MI: ACI.
AliAhmad, M., M. Miri, and M. Rashki. 2017. “Probabilistic and experimental investigating the effect of pozzolan and Lumachelle fine aggregates on roller compacted concrete properties.” Constr. Build. Mater. 151 (Oct): 755–766. https://doi.org/10.1016/j.conbuildmat.2017.06.107.
ASTM. 1995. Standard test method for sieve analysis of fine and coarse aggregates. ASTM C136. West Conshohocken, PA: ASTM.
ASTM. 1999. Standard specification for Portland cement. ASTM C150. West Conshohocken, PA: ASTM.
ASTM. 2008. Standard test method for density and void content of freshly mixed pervious concrete. ASTM C1688. West Conshohocken, PA: ASTM.
Box, G. E. P., and K. B. Wilson. 1954. “The exploration and exploitation of response surfaces: Some general considerations and examples.” Biometrics 10: 16–60. https://doi.org/10.2307/3001663.
BSI (British Standards Institution). 1983 Method for making test cubes from fresh concrete. BS 1881: Part 108. London: BSI.
Das, P. K., and Y. Zheng. 2000. “Improved response surface method and its application to stiffened plate reliability analysis.” Eng. Struct. 22 (5): 544–551. https://doi.org/10.1016/S0141-0296(98)00136-9.
Estèbe, A., H. Boudries, J. M. Mouchel, and D. R. Thévenot. 1997. “Urban runoff impacts on particulate metal and hydrocarbon concentrations in river Seine: Suspended solid and sediment transport.” Water Sci. Technol. 36 (8–9): 185–193. https://doi.org/10.2166/wst.1997.0664.
Fang, H., and M. Horstemeyer. 2006. “Global response approximation with radial basis functions.” Eng. Optim. 38 (4): 407–424. https://doi.org/10.1080/03052150500422294.
Hasanipanah, M., D. Meng, B. Keshtegar, N. T. Trung, and D. K. Thai. 2020. “Nonlinear models based on enhanced Kriging interpolation for prediction of rock joint shear strength.” Neural Comput. Appl. 33 (9): 4205–4215. https://doi.org/10.1007/s00521-020-05252-4.
Haselbach, L. M., and B. S. Werner. 2015. “Pervious concrete performance in Eastern Washington: Surface infiltration.” In Proc., Int. Low Impact Development Conference 2015@ sLID: It Works in All Climates and Soils, 196–205. Reston, VA: ASCE.
Ho, C.-H., J. Shan, F. Almutairi, and F. Aloqaili. 2015. “Evaluating the freeze thaw durability of pervious concrete mixed with silica fume.” In Proc., Int. Symp. on Systematic Approaches to Environmental Sustainability in Transportation, 83–92. Reston, VA: ASCE. https://doi.org/10.1061/9780784479278.008.
Huang, B., H. Wu, X. Shu, and E. G. Burdette. 2010. “Laboratory evaluation of permeability and strength of polymer-modified pervious concrete.” Constr. Build. Mater. 24 (5): 818–823. https://doi.org/10.1016/j.conbuildmat.2009.10.025.
Keshtegar, B., M. F. Allawi, H. A. Afan, and A. El-Shafie. 2016. “Optimized river stream-flow forecasting model utilizing high-order response surface method.” Water Resour. Manage. 30 (11): 3899–3914. https://doi.org/10.1007/s11269-016-1397-4.
Keshtegar, B., and S. Heddam. 2018. “Modeling daily dissolved oxygen concentration using modified response surface method and artificial neural network: A comparative study.” Neural Comput. Appl. 30 (10): 2995–3006. https://doi.org/10.1007/s00521-017-2917-8.
Keshtegar, B., and O. Kisi. 2017. “M5 model tree and Monte Carlo simulation for efficient structural reliability analysis.” Appl. Math. Modell. 48 (Aug): 899–910. https://doi.org/10.1016/j.apm.2017.02.047.
Keshtegar, B., and O. Kisi. 2018. “RM5Tree: Radial basis M5 model tree for accurate structural reliability analysis.” Reliab. Eng. Syst. Saf. 180 (Dec): 49–61. https://doi.org/10.1016/j.ress.2018.06.027.
Keshtegar, B., M. L. Nehdi, N.-T. Trung, and R. Kolahchi. 2021. “Predicting load capacity of shear walls using SVR–RSM mode.” Appl. Soft Comput. 112 (Nov): 107739. https://doi.org/10.1016/j.asoc.2021.107739.
Keshtegar, B., and Z. M. Yaseen. 2021. “Reinforcing bar development length modeling using integrative support vector regression model with response surface method: New approach.” ISA Trans. https://doi.org/10.1016/j.isatra.2021.10.010.
Khuri, A. I., and S. Mukhopadhyay. 2010. “Response surface methodology.” WIREs Comput. Stat. 2 (2): 128–149. https://doi.org/10.1002/wics.73.
Luo, C., B. Keshtegar, S. P. Zhu, O. Taylan, and X. P. Niu. 2022. “Hybrid enhanced Monte Carlo simulation coupled with advanced machine learning approach for accurate and efficient structural reliability analysis.” Comput. Methods Appl. Mech. Eng. 388 (Jan): 114218. https://doi.org/10.1016/j.cma.2021.114218.
Metropolis, N., and S. Ulam. 1949. “The Monte Carlo method.” J. Am. Stat. Assoc. 44 (241): 335–341. https://doi.org/10.1080/01621459.1949.10483310.
Ramon, J., J. G. Haldar, A. Azizsoltani, H. Valenzuela-Beltran, and F. Reyes-Salazar. 2018. “Performance-based seismic design of steel buildings using rigidities of connections.” ASCE-ASME J. Risk Uncertainty Eng. Syst., Part A: Civ. Eng. 4 (1): 04017036. https://doi.org/10.1061/AJRUA6.0000943.
Roussouly, N., F. Petitjean, and M. Salaun. 2013. “A new adaptive response surface method for reliability analysis.” Probab. Eng. Mech. 32 (Apr): 103–115. https://doi.org/10.1016/j.probengmech.2012.10.001.
Sanford, C., M. A. Onyango, T. A. Thomas, F. Jones, and B. Rollins. 2015. “Evaluation of cleaning methods of pervious concrete pavement.” In Proc., Int. Symp. on Systematic Approaches to Environmental Sustainability in Transportation, 58–70. Roseville, MN: Industrial Fabrics Association International.
Taghizadeh, S., S. Khani, and T. Rajaee. 2021. “Hybrid SWMM and particle swarm optimization model for urban runoff water quality control by using green infrastructures (LID-BMPs).” Urban For. Urban Greening. 60: 127032. https://doi.org/10.1016/j.ufug.2021.127032.
Teymouri, E., S. F. Mousavi, H. Karami, and S. Farzin. 2020a. “Municipal Wastewater pretreatment using porous concrete containing finegrained mineral adsorbents.” J. Water Process Eng. 36 (Aug): 101346. https://doi.org/10.1016/j.jwpe.2020.101346.
Teymouri, E., S. F. Mousavi, H. Karami, S. Farzin, and M. Hossieni Kheabad. 2020b. “Reducing urban runoff pollution using porous concrete containing mineral adsorbents.” J. Environ. Treat. Tech. 8 (1): 429–436.
Tyring, S., et al. 2006. “Etanercept and clinical outcomes, fatigue, and depression in psoriasis: Double-blind placebo-controlled randomised phase III trial.” The Lancet 367 (9504): 29–35. https://doi.org/10.1016/S0140-6736(05)67763-X.
Ullate, E. G., E. C. Lopez, D. C. Fresno, and J. R. Bayon. 2011. “Analysis and contrast of different pervious pavements for management of storm-water in a parking area in northern pain.” Water Resour. Manage. 25 (6): 1525–1535. https://doi.org/10.1007/s11269-010-9758-x.
Wang, K., V. R. Schaefer, J. T. Kevern, and M. T. Suleiman. 2006. “Development of mix proportion for functional and durable pervious concrete.” In Proc., 2006 NRMCA Concrete Technology Forum—Focus on Pervious Concrete. Aurora, CO: National Ready Mixed Concrete Association.
Wang, Z., D. Zou, T. Liu, A. Zhou, and M. Shen. 2020. “A novel method to predict the mesostructure and performance of pervious concrete.” Constr. Build. Mater. 263 (Dec): 120117. https://doi.org/10.1016/j.conbuildmat.2020.120117.
Zhong, R., and K. Wille. 2015. “Material design and characterization of high performance pervious concrete.” Constr. Build. Mater. 98 (15): 51–60. https://doi.org/10.1016/j.conbuildmat.2015.08.027.
Information & Authors
Information
Published In
ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A: Civil Engineering
Volume 8 • Issue 4 • December 2022
Copyright
© 2022 American Society of Civil Engineers.
History
Received: Jan 1, 2022
Accepted: Apr 16, 2022
Published online: Aug 12, 2022
Published in print: Dec 1, 2022
Discussion open until: Jan 12, 2023
ASCE Technical Topics:
- Chemical compounds
- Chemicals
- Chemistry
- Compressive strength
- Concrete
- Engineering fundamentals
- Engineering materials (by type)
- Environmental engineering
- Geomechanics
- Geotechnical engineering
- Kriging
- Lightweight concrete
- Material mechanics
- Material properties
- Materials engineering
- Mathematics
- Minerals
- Nanomechanics
- Parameters (statistics)
- Pollution
- Porous media
- Salts
- Soil mechanics
- Soil properties
- Statistics
- Strength of materials
- Sulfides
- Water pollution
Authors
Metrics & Citations
Metrics
Citations
Download citation
If you have the appropriate software installed, you can download article citation data to the citation manager of your choice. Simply select your manager software from the list below and click Download.
Cited by
- Ehsan Teymouri, Kwong Soon Wong, Yee Yong Tan, Nurul Noraziemah Mohd Pauzi, Mechanical behaviour of adsorbent pervious concrete using iron slag and zeolite as coarse aggregates, Construction and Building Materials, 10.1016/j.conbuildmat.2023.131720, 388, (131720), (2023).