OPtimization of seismic protective devices for highway bridges based on probabilistic repair cost ratio: A case study. Xie, Y. & Zhang, J. In volume 2, pages 1079 - 1089, Los Angeles, CA, United states, 2018. Engineering demand parameters;Genetic optimization;Ground motion intensity measures;Optimal protection;Performance indices;Performance-based optimizations;Probabilistic design;Protective devices;abstract bibtex A case study is conducted on the Painter Street Overcrossing (PSO), a typical highway bridge in California, to realize the performance-based optimization of seismic protective devices. By considering multiple base isolation designs, component-level fragility functions are derived first for this bridge by using the 'scaling' approach. In this stage, the derived fragility functions are conditioned on ground motion intensity measures and remain distinct for different isolation designs. However, almost identical fragility curves are obtained when they are conditioned on the corresponding median engineering demand parameters instead. Thereafter, system-level repair cost ratio is calculated by using the performance-based methodology and the associated uniform fragility curves at each damage state. The derived repair cost ratio turns into a uniform surface across different isolation designs, which can be conveniently served as the performance index for the probabilistic design and optimization of protective devices. Finally, a genetic optimization procedure is proposed to identify the optimal protection designs, which are shown to be able to significantly reduce the overall repair cost ratio of the PSO under varying levels of earthquake hazards.
© Copyright (2018 by Earthquake Engineering Research Institute All rights reserved.
@inproceedings{20202208774065 ,
language = {English},
copyright = {Compilation and indexing terms, Copyright 2023 Elsevier Inc.},
copyright = {Compendex},
title = {OPtimization of seismic protective devices for highway bridges based on probabilistic repair cost ratio: A case study},
journal = {11th National Conference on Earthquake Engineering 2018, NCEE 2018: Integrating Science, Engineering, and Policy},
author = {Xie, Y. and Zhang, J.},
volume = {2},
year = {2018},
pages = {1079 - 1089},
address = {Los Angeles, CA, United states},
abstract = {A case study is conducted on the Painter Street Overcrossing (PSO), a typical highway bridge in California, to realize the performance-based optimization of seismic protective devices. By considering multiple base isolation designs, component-level fragility functions are derived first for this bridge by using the 'scaling' approach. In this stage, the derived fragility functions are conditioned on ground motion intensity measures and remain distinct for different isolation designs. However, almost identical fragility curves are obtained when they are conditioned on the corresponding median engineering demand parameters instead. Thereafter, system-level repair cost ratio is calculated by using the performance-based methodology and the associated uniform fragility curves at each damage state. The derived repair cost ratio turns into a uniform surface across different isolation designs, which can be conveniently served as the performance index for the probabilistic design and optimization of protective devices. Finally, a genetic optimization procedure is proposed to identify the optimal protection designs, which are shown to be able to significantly reduce the overall repair cost ratio of the PSO under varying levels of earthquake hazards.<br/> © Copyright (2018 by Earthquake Engineering Research Institute All rights reserved.},
key = {Highway bridges},
keywords = {Seismology;Earthquake engineering;Particle swarm optimization (PSO);Engineering geology;Repair;},
note = {Engineering demand parameters;Genetic optimization;Ground motion intensity measures;Optimal protection;Performance indices;Performance-based optimizations;Probabilistic design;Protective devices;},
}
Downloads: 0
{"_id":"toqTNNK4ABYEvfbJK","bibbaseid":"xie-zhang-optimizationofseismicprotectivedevicesforhighwaybridgesbasedonprobabilisticrepaircostratioacasestudy-2018","author_short":["Xie, Y.","Zhang, J."],"bibdata":{"bibtype":"inproceedings","type":"inproceedings","language":"English","copyright":"Compendex","title":"OPtimization of seismic protective devices for highway bridges based on probabilistic repair cost ratio: A case study","journal":"11th National Conference on Earthquake Engineering 2018, NCEE 2018: Integrating Science, Engineering, and Policy","author":[{"propositions":[],"lastnames":["Xie"],"firstnames":["Y."],"suffixes":[]},{"propositions":[],"lastnames":["Zhang"],"firstnames":["J."],"suffixes":[]}],"volume":"2","year":"2018","pages":"1079 - 1089","address":"Los Angeles, CA, United states","abstract":"A case study is conducted on the Painter Street Overcrossing (PSO), a typical highway bridge in California, to realize the performance-based optimization of seismic protective devices. By considering multiple base isolation designs, component-level fragility functions are derived first for this bridge by using the 'scaling' approach. In this stage, the derived fragility functions are conditioned on ground motion intensity measures and remain distinct for different isolation designs. However, almost identical fragility curves are obtained when they are conditioned on the corresponding median engineering demand parameters instead. Thereafter, system-level repair cost ratio is calculated by using the performance-based methodology and the associated uniform fragility curves at each damage state. The derived repair cost ratio turns into a uniform surface across different isolation designs, which can be conveniently served as the performance index for the probabilistic design and optimization of protective devices. Finally, a genetic optimization procedure is proposed to identify the optimal protection designs, which are shown to be able to significantly reduce the overall repair cost ratio of the PSO under varying levels of earthquake hazards.<br/> © Copyright (2018 by Earthquake Engineering Research Institute All rights reserved.","key":"20202208774065","keywords":"Seismology;Earthquake engineering;Particle swarm optimization (PSO);Engineering geology;Repair;","note":"Engineering demand parameters;Genetic optimization;Ground motion intensity measures;Optimal protection;Performance indices;Performance-based optimizations;Probabilistic design;Protective devices;","bibtex":"@inproceedings{20202208774065 ,\nlanguage = {English},\ncopyright = {Compilation and indexing terms, Copyright 2023 Elsevier Inc.},\ncopyright = {Compendex},\ntitle = {OPtimization of seismic protective devices for highway bridges based on probabilistic repair cost ratio: A case study},\njournal = {11th National Conference on Earthquake Engineering 2018, NCEE 2018: Integrating Science, Engineering, and Policy},\nauthor = {Xie, Y. and Zhang, J.},\nvolume = {2},\nyear = {2018},\npages = {1079 - 1089},\naddress = {Los Angeles, CA, United states},\nabstract = {A case study is conducted on the Painter Street Overcrossing (PSO), a typical highway bridge in California, to realize the performance-based optimization of seismic protective devices. By considering multiple base isolation designs, component-level fragility functions are derived first for this bridge by using the 'scaling' approach. In this stage, the derived fragility functions are conditioned on ground motion intensity measures and remain distinct for different isolation designs. However, almost identical fragility curves are obtained when they are conditioned on the corresponding median engineering demand parameters instead. Thereafter, system-level repair cost ratio is calculated by using the performance-based methodology and the associated uniform fragility curves at each damage state. The derived repair cost ratio turns into a uniform surface across different isolation designs, which can be conveniently served as the performance index for the probabilistic design and optimization of protective devices. Finally, a genetic optimization procedure is proposed to identify the optimal protection designs, which are shown to be able to significantly reduce the overall repair cost ratio of the PSO under varying levels of earthquake hazards.<br/> © Copyright (2018 by Earthquake Engineering Research Institute All rights reserved.},\nkey = {Highway bridges},\nkeywords = {Seismology;Earthquake engineering;Particle swarm optimization (PSO);Engineering geology;Repair;},\nnote = {Engineering demand parameters;Genetic optimization;Ground motion intensity measures;Optimal protection;Performance indices;Performance-based optimizations;Probabilistic design;Protective devices;},\n} \n\n\n","author_short":["Xie, Y.","Zhang, J."],"id":"20202208774065","bibbaseid":"xie-zhang-optimizationofseismicprotectivedevicesforhighwaybridgesbasedonprobabilisticrepaircostratioacasestudy-2018","role":"author","urls":{},"keyword":["Seismology;Earthquake engineering;Particle swarm optimization (PSO);Engineering geology;Repair;"],"metadata":{"authorlinks":{}}},"bibtype":"inproceedings","biburl":"https://bibbase.org/network/files/m3A3cns49MKmeRzt5","dataSources":["iK69edT4peeXELcwY","6Aw5QAtT2yLJ3d2JP","qBPxBjrzghRQ4Wzbf","EnwwBMFxopKkypo2f","8uWbXNBCDiEboMj8h"],"keywords":["seismology;earthquake engineering;particle swarm optimization (pso);engineering geology;repair;"],"search_terms":["optimization","seismic","protective","devices","highway","bridges","based","probabilistic","repair","cost","ratio","case","study","xie","zhang"],"title":"OPtimization of seismic protective devices for highway bridges based on probabilistic repair cost ratio: A case study","year":2018}