Optimization-based record selection approach to incremental dynamic analysis and estimation of fragility curves

Document Type : Article

Authors

Centre of Excellence for Fundamental Studies in Structural Engineering, Iran University of Science and Technology, Narmak, Tehran, Iran

Abstract

In order to estimate the seismic performance of structures, performing incremental dynamic analysis, and obtaining fragility curves are essential. Since producing these curves is time-consuming due to performing a large number of nonlinear dynamic analyses, the selection of appropriate earthquake ground motion records which give reliable responses with sufficient accuracy is important. Due to the lack of a solid framework, the selection of an appropriate ground motion recordset is still a challenging problem. In this paper, the primary goal is to select a suitable set of records from a general set of records in order to reach reliable limit-state capacities prediction of structures. To achieve this goal, incremental dynamic analysis is conducted for an equivalent single degree of freedom under a general set of records, and an optimization algorithm is employed to solve the problem by minimizing the error between the mean incremental dynamic analysis curves of each selected subset and the mean incremental dynamic analysis curve of a general set of records. The fragility curves obtained by all records and selected ones are compared and the results show that the fragility curves corresponding to the selected records estimate the target fragility curves appropriately.

Keywords

References

  1. References

    1. Yi, J., Lam, N., Tsang, H. H., and Au, F. T., “Selection of earthquake ground motion accelerograms for structural design in Hong Kong”, Advances in Structural Engineering, 23(10), pp. 2044-2056 (2020).  

     https://doi.org/10.1177/1369433220906926

    1. Perrone, D., Brunesi, E., Filiatrault, A., and Nascimbene, R., “Probabilistic estimation of floor response spectra in masonry infilled reinforced concrete building portfolio”, Engineering Structures, 202, pp. 109842 (2020).

    https://doi.org/10.1016/j.engstruct.2019.109842

    1. Moschen, L., Medina, R. A., and Adam, C., “A Ground Motion Record Selection Approach Based on Multiobjective Optimization”, Journal of Earthquake Engineering, 23(4), pp. 669-687 (2019).

    https://doi.org/10.1080/13632469.2017.1342302

    1. Kaveh, A., Moghanni, R. M., and Javadi, S. M., “Ground motion record selection using multi-objective optimization algorithms: A comparative study”, Periodica Polytechnica Civil Engineering, 63(3), pp. 812-822 (2019).

    https://doi.org/10.3311/PPci.14354

    1. Baker, J. W., “Conditional mean spectrum: Tool for ground-motion selection”, Journal of Structural Engineering, 137(3), pp. 322-331 (2010).

    https://doi.org/10.1061/(ASCE)ST.1943-541X.0000215

    1. Baker, J. W., and Lee, C., “An improved algorithm for selecting ground motions to match a conditional spectrum”, Journal of Earthquake Engineering, 22(4), pp. 708-723 (2018).

    https://doi.org/10.1080/13632469.2016.1264334

    1. Dehghani, M., and Tremblay, R., “Robust Period-Independent Ground Motion Selection and Scaling for Effective Seismic Design and Assessment”, Journal of Earthquake Engineering, 20(2), 185-218 (2016).

    https://doi.org/10.1080/13632469.2015.1051635

    1. Kohrangi, M., Bazzurro, P., and Vamvatsikos, D., “Conditional spectrum bidirectional record selection for risk assessment of 3D structures using scalar and vector IMs”, 48(9), pp. 1066-1082 (2019).

    https://doi.org/10.1002/eqe.3177

    1. Lombardi, L., De Luca, F., and Macdonald, J., “Design of buildings through Linear Time-History Analysis optimising ground motion selection: A case study for RC-MRFs”, Engineering Structures, 192, pp. 279-295 (2019).

    https://doi.org/10.1016/j.engstruct.2019.04.066

    1. Marasco, S., and Cimellaro, G. P., “A new energy-based ground motion selection and modification method limiting the dynamic response dispersion and preserving the median demand”, Bulletin of Earthquake Engineering, 16(2), pp. 561-581 (2018).

    https://doi.org/10.1007/s10518-017-0232-5

    1. Chen, Y., Xu, L., Zhu, X., and Liu, H., “A multi-objective ground motion selection approach matching the acceleration and displacement response spectra”, Sustainability, 10(12), pp. 4659 (2018).

    https://doi.org/10.3390/su10124659

    1. Günay, S., and Mosalam, K. M., “PEER performance-based earthquake engineering methodology, revisited”, Journal of Earthquake Engineering, 17(6), pp. 829-858 (2013).

    https://doi.org/10.1080/13632469.2013.787377

    1. Bayati, Z., and Soltani, M. (2016), “Ground motion selection and scaling for seismic design of RC frames against collapse”, Earthquakes and Structures, 11(3), pp. 445-459 (2016).

    https://doi.org/10.12989/eas.2016.11.3.445

    1. Kiani, J., and Khanmohammadi, M., “New approach for selection of real input ground motion records for incremental dynamic analysis (IDA)”, Journal of Earthquake Engineering, 19(4), pp. 592-623 (2015).

    https://doi.org/10.1080/13632469.2014.997901

    1. Yaghmaei-Sabegh, S., Karami, S., and Hosseini-Moghadam, M., “Selection and scaling of spectrum-compatible ground motion records using hybrid coded genetic algorithms”, Scientia Iranica Transaction A, Civil Engineering, 24(3), pp. 910-925 (2017).

    https://doi.org/10.24200/SCI.2017.4075

    1. Du, W., Ning, C. L., and Wang, G., “The effect of amplitude scaling limits on conditional spectrum‐based ground motion selection” Earthquake Engineering & Structural Dynamics, 48(9), pp. 1030-1044 (2019).

    https://doi.org/10.1002/eqe.3173

    1. Ale Saheb Fosoul, S., Tajmir Riahi, H., and Hatami, N., “A new ground motion record selection procedure based on the effects of spectral shape and period elongation “, Scientia Iranica, (2019).

    https://doi.org/10.24200/sci.2019.51546.2246

    1. Zhang, R., Hajjar, J., and Sun, H., “Machine Learning Approach for Sequence Clustering with Applications to Ground-Motion Selection”, Journal of Engineering Mechanics, 146(6), pp. 04020040 (2020).

    https://doi.org/10.1061/(ASCE)EM.1943-7889.0001766

    1. Kaveh, A., Javadi, S. M.,and  Moghanni, R. M., “Reliability Analysis via an Optimal Covariance Matrix Adaptation Evolution Strategy: Emphasis on Applications in Civil Engineering”, Periodica Polytechnica Civil Engineering, 64(2), pp. 579-588 (2020).

    https://doi.org/10.3311/PPci.15793

    1. Kaveh, A., Moghanni, R. M., and Javadi, S. M., “Optimum design of large steel skeletal structures using chaotic firefly optimization algorithm based on the Gaussian map”, Structural and Multidisciplinary Optimization, 60(3), pp. 879-894 (2019).

    https://doi.org/10.1007/s00158-019-02263-1

    1. Cardone, D., Conte, N., Dall’Asta, A., Di Cesare, A., Flora, A., Leccese, G., “RINTC project: nonlinear analyses of Italian code-conforming base-isolated buildings for risk of collapse assessment”, In Proc. of COMPDYN 2017–6th ECCOMAS Thematic Conference on Computational Methods in Structural Dynamics and Earth-quake Engineering (2017, June).

    https://doi.org/10.7712/120117.5525.19365

    1. PEER, N.G.A., Strong Motion Database Pacific Earthquake Engineering Research Center Database

    http://peer.berkeley.edu/smcat/

    1.  ITACA, Italian Accelerometric Archive (2014)

    http://itaca.mi.ingv.it/

    1. EUROCODE 8, Design Provisions for Earthquake Resistance of Structures. Seismic Actions and General Requirements of Structures, CEN/TC 250, Draft, May 2002 (1998).
    2.  Feng, J., Zhang, J., Zhu, X., and Lian, W., “A novel chaos optimization algorithm”, Multimedia Tools and Applications, 76(16), 17405-17436 (2017).

    https://doi.org/10.1007/s11042-016-3907-z

    1.  Geem, Z. W., Kim, J. H., and Loganathan, G. V., “A new heuristic optimization algorithm: harmony search”, Simulation, 76(2), pp. 60-68 (2001).

    https://doi.org/10.1177/003754970107600201

    1. Yang, X. S., “Harmony search as a metaheuristic algorithm. In Music-inspired harmony search algorithm”, Springer, Berlin, Heidelberg, pp. 1-14 (2009).

    https://doi.org/10.1007/978-3-642-00185-7_1

    1. Baltzopoulos, G., Baraschino, R., Iervolino, I., and Vamvatsikos, D., “Dynamic analysis of single-degree-of-freedom systems (DYANAS): A graphical user interface for OpenSees”, Engineering Structures, 177, pp. 395-408 (2018).

    https://doi.org/10.1016/j.engstruct.2018.09.078

Scientia Iranica
Volume 28, Issue 2
Transactions on Civil Engineering (A)
March and April 2021
Pages 700-708

Files

Share

How to cite

Statistics