Seismic performance assessment of steel structures considering soil effects

Authors

DOI:

https://doi.org/10.23918/eajse.v10i1p10

Keywords:

Soil Effects, Incremental Dynamic Analyses, Seismic Performance Levels, Steel Structure

Abstract

Nowadays, extreme need for construction of buildings in rural area increased the floor number of buildings, in which, the soil under foundation can affect the performance of buildings. In this research, soil effects were investigated to show soil type effects on the performance levels of steel structures. To do this, the 2-, 4-, 6-, and 8-story structures were modeled using ETABS software; then, the models were verified in Opensees software for collapse state analysis. Incremental Dynamic Analyses (IDAs) are employed using far field, near field records having pulse like and no pulse effects. The results of analysis provide informations regarding the influence of soil types of B, C, D, and E on the seismic performance level of steel structures. The results confirmed that the soil types have remarkable effect on performance levels and it should be considered in seismic design process. To consider the soil types effects, it is recommended to compare the results of analysis achieved in this study to find out the percentage of variations, and use them as a reference for seismic design process. In addition, it is possible to have modification factors for amending the performance levels.

References

[1] Manguri, A., Saeed, N., Kazemi, F., Szczepanski, M. and Jankowski, R. "Optimum number of actuators to minimize the cross-sectional area of prestressable cable and truss structures." Structures. Vol. 47, 2023. https://doi.org/10.1016/j.istruc.2022.12.031

[2] Shafighfard, T., Kazemi, F., Bagherzadeh, F., Mieloszyk, M. and Yoo, D.Y. "Chained machine learning model for predicting load capacity and ductility of steel fiber–reinforced concrete beams." Computer‐Aided Civil and Infrastructure Engineering, 2024. https://doi.org/10.1111/mice.13164

[3] Kazemi, F., Shafighfard, T. and Yoo, D.Y. "Data-driven modeling of mechanical properties of fiber-reinforced concrete: A critical review." Archives of Computational Methods in Engineering, 2024, 1-30. https://doi.org/10.1007/s11831-023-10043-w

[4] Shakib, H., and Homaei, F. “Probabilistic seismic performance assessment of the soil-structure interaction effect on seismic response of mid-rise setback steel buildings,” Bulletin of Earthquake Engineering, 15(7), 2827-2851, 2017. https://doi.org/10.1007/s10518-017-0087-9

[5] Bolisetti, C., and Whittaker, A. S. “Numerical investigations of structure-soil-structure interaction in buildings,” Engineering Structures, 215, 110709, 2020. https://doi.org/10.1016/j.engstruct.2020.110709

[6] Cilsalar, H., and Cadir, C. C. “Seismic performance evaluation of adjacent buildings with consideration of improved soil conditions,” Soil Dynamics and Earthquake Engineering, 140, 106464, 2021. https://doi.org/10.1016/j.soildyn.2020.106464

[7] Kazemi, F., Asgarkhani, N., and Jankowski, R. “Predicting seismic response of SMRFs founded on different soil types using machine learning techniques,” Engineering Structures, 114953, 2023. https://doi.org/10.1016/j.engstruct.2022.114953

[8] Kazemi, F., and Jankowski, R. “Machine learning-based prediction of seismic limit-state capacity of steel moment-resisting frames considering soil-structure interaction,” Computers & Structures, 274, 106886, 2023. https://doi.org/10.1016/j.compstruc.2022.106886

[9] Kazemi, F., Asgarkhani, N. and Jankowski, R. "Enhancing seismic performance of steel buildings having semi-rigid connection with infill masonry walls considering soil type effects." Soil Dynamics and Earthquake Engineering 177, 2024, 108396. https://doi.org/10.1016/j.soildyn.2023.108396

[10] American Society of Civil Engineers. “Minimum Design Loads for Buildings and Other Structures (ASCE/SEI 7-16),” American Society of Civil Engineers, 2016.

[11] Kazemi, F., and Jankowski, R. “Seismic performance evaluation of steel buckling-restrained braced frames including SMA materials,” Journal of Constructional Steel Research, 107750, 2023. https://doi.org/10.1016/j.jcsr.2022.107750

[12] Kazemi, F., and Jankowski, R. “Enhancing seismic performance of rigid and semi-rigid connections equipped with SMA bolts incorporating nonlinear soil-structure interaction,” Engineering Structures, 274, 114896, 2023. https://doi.org/10.1016/j.engstruct.2022.114896

[13] Kazemi, F., Asgarkhani N., and Jankowski, R. “Machine learning-based seismic fragility and seismic vulnerability assessment of reinforced concrete structures,” Soil Dynamics and Earthquake Engineering, 107761, 2023. https://doi.org/10.1016/j.soildyn.2023.107761

[14] McKenna, F., Fenves, G. L., and Scott, M. H. “Open system for earthquake engineering simulation,” University of California, Berkeley, CA, 2000.

[15] Mohebi, B., Sartipi, M., and Kazemi, F. "Enhancing seismic performance of buckling-restrained brace frames equipped with innovative bracing systems." Archives of Civil and Mechanical Engineering 23, no. 4: 243, 2023. https://doi.org/10.1007/s43452-023-00779-4

[16] Mohebi, B., Asadi, N., and Kazemi, F. “Effects of Using Gusset Plate Stiffeners on the Seismic Performance of Concentrically Braced Frame,” International Journal of Civil and Environmental Engineering, 13(12), 723-729, 2019.

[17] Kazemi, F., Asgarkhani, N., Manguri, A., Lasowicz, N., and Jankowski, R. "Introducing a computational method to retrofit damaged buildings under seismic mainshock-aftershock sequence." In International Conference on Computational Science, pp. 180-187, 2023. https://doi.org/10.1007/978-3-031-36021-3_16

[18] Kazemi, F., Mohebi, B., and Jankowski, R. “Predicting the seismic collapse capacity of adjacent SMRFs retrofitted with fluid viscous dampers in pounding condition,” Mechanical Systems and Signal Processing, 161, 107939, 2021. https://doi.org/10.1016/j.ymssp.2021.107939

[19] Kazemi, F., Asgarkhani N., Manguri A., and Jankowski, R. “Investigating an optimal computational strategy to retrofit buildings with implementing viscous dampers,” International Conference on Computational Science, (pp. 184-191), 2022. https://doi.org/10.1007/978-3-031-08754-7_25

[20] Kazemi, F., Mohebi, B., and Yakhchalian, M. “Predicting the seismic collapse capacity of adjacent structures prone to pounding,” Canadian Journal of Civil Engineering, 47(6), 663-677, 2020. https://doi.org/10.1139/cjce-2018-0725

[21] Yakhchalian, M., Asgarkhani, N., and Yakhchalian, M. “Evaluation of deflection amplification factor for steel buckling restrained braced frames,” Journal of Building Engineering, 30, 101228, 2020. https://doi.org/10.1016/j.jobe.2020.101228

[22] Asgarkhani, N., Yakhchalian, M., and Mohebi, B. “Evaluation of approximate methods for estimating residual drift demands in BRBFs,” Engineering Structures, 224, 110849, 2020. https://doi.org/10.1016/j.engstruct.2020.110849

[23] Yakhchalian, M., Yakhchalian, M., and Asgarkhani, N. “An advanced intensity measure for residual drift ‎assessment of steel BRB frames,” Bulletin of Earthquake Engineering, 19(4), 1931-1955, 2021. https://doi.org/10.1007/s10518-021-01051-x

[24] Kazemi, F., Asgarkhani, N., and Jankowski, R. “Machine learning-based seismic response and performance ‎assessment of reinforced concrete buildings,” Archives of ‎Civil and Mechanical Engineering, 23(2), 94, 2023. https://doi.org/10.1007/s43452-023-00631-9

[25] Mohebi B., Kazemi, F., and Yousefi A. “Enhancing ‎seismic performance of semi-rigid connection using shape ‎memory alloy bolts considering nonlinear soil–structure ‎interaction,” Proceedings of Eurasian OpenSees Days, ‎Lecture Notes in Civil Engineering, Vol. 326, chapter 22, 2023. https://doi.org/10.1007/978-3-031-30125-4_22

[26] Mohebi B., Kazemi, F., and Yousefi A. “Seismic ‎response analysis of knee-braced steel frames using ‎Ni-‎Ti Shape Memory Alloys (SMAs),” Proceedings of ‎Eurasian OpenSees Days, Lecture Notes in Civil ‎Engineering, Vol. 326, chapter 21, 2023.

[27] Asgarkhani, N., Kazemi, F., and Jankowski, R. “Optimal retrofit strategy using viscous dampers between adjacent RC and SMRFs prone to earthquake-induced pounding,” Archives of Civil and Mechanical Engineering, 23(1), 1-26, 2023. https://doi.org/10.1007/s43452-022-00542-1

[28] Kazemi, F., Asgarkhani, N., and Jankowski, R. “Probabilistic assessment of SMRFs with infill masonry walls incorporating nonlinear soil-structure interaction,” Bulletin of Earthquake Engineering, 1-32, 2022. https://doi.org/10.1007/s10518-022-01547-0

[29] Mohebi B., Kazemi F., Asgarkhani N., Ghasemnezhadsani P., and Mohebi A. “Performance of Vector-valued Intensity Measures for Estimating Residual Drift of Steel MRFs with Viscous Dampers,” International Journal of Structural and Civil Engineering Research, Vol. 11, No. 4, pp. 79-83, 2022. https://doi.org/10.18178/ijscer.11.4.79-83.

[30] Asgarkhani, N., Kazemi, F., and Jankowski, R. "Machine learning-based prediction of residual drift and seismic risk assessment of steel moment-resisting frames considering soil-structure interaction." Computers & Structures 289, 107181, 2023. https://doi.org/10.1016/j.compstruc.2023.107181

[31] Asgarkhani, N., Kazemi, F., Jakubczyk-Gałczyńska, A., Mohebi, B. and Jankowski, R. "Seismic response and performance prediction of steel buckling-restrained braced frames using machine-learning methods." Engineering Applications of Artificial Intelligence 128, 2024, 107388. https://doi.org/10.1016/j.engappai.2023.107388

Downloads

Published

2024-04-03

How to Cite

Kazemi, F., Asgarkhani, N., Manguri, A., & Jankowski, R. (2024). Seismic performance assessment of steel structures considering soil effects. EURASIAN JOURNAL OF SCIENCE AND ENGINEERING, 10(1), 113-122. https://doi.org/10.23918/eajse.v10i1p10

Similar Articles

1-10 of 186

You may also start an advanced similarity search for this article.