Probabilistic seismic loss estimation by stochastic simulation algorithms
Prior estimation of losses in a structure due to future uncertain earthquakes, especially those which can lead to disastrous consequences, is essential to reduce potential losses and assist recovery. In this paper, we are particularly interested in the evaluation of seismic loss probability distribu...
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| Format: | Conference Paper |
| Language: | English |
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2014
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| Online Access: | https://hdl.handle.net/10356/79595 http://hdl.handle.net/10220/24109 |
| _version_ | 1826127032006737920 |
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| author | Cheung, Sai Hung Bansal, Sahil |
| author2 | School of Civil and Environmental Engineering |
| author_facet | School of Civil and Environmental Engineering Cheung, Sai Hung Bansal, Sahil |
| author_sort | Cheung, Sai Hung |
| collection | NTU |
| description | Prior estimation of losses in a structure due to future uncertain earthquakes, especially those which can lead to disastrous consequences, is essential to reduce potential losses and assist recovery. In this paper, we are particularly interested in the evaluation of seismic loss probability distribution including its tail by evaluating the seismic loss exceedance probability. Taking into account uncertainties from structural mod-eling, the modeling of future uncertain excitation and the models for damage and loss analysis, the evaluation of the exceedance probability will unavoidably involve the computation of high-dimensional integrals. A new method based on stochastic simulation algorithms is proposed to compute such integrals more efficiently. The effectiveness and efficiency of the proposed method are shown by an illustrative example involving a multi-storey inelastic building. |
| first_indexed | 2024-10-01T07:02:07Z |
| format | Conference Paper |
| id | ntu-10356/79595 |
| institution | Nanyang Technological University |
| language | English |
| last_indexed | 2024-10-01T07:02:07Z |
| publishDate | 2014 |
| record_format | dspace |
| spelling | ntu-10356/795952020-03-07T11:43:28Z Probabilistic seismic loss estimation by stochastic simulation algorithms Cheung, Sai Hung Bansal, Sahil School of Civil and Environmental Engineering International Conference on Structural Safety and Reliability (ICOSSAR) (11th : 2013 : New York, USA) DRNTU::Engineering::Civil engineering Prior estimation of losses in a structure due to future uncertain earthquakes, especially those which can lead to disastrous consequences, is essential to reduce potential losses and assist recovery. In this paper, we are particularly interested in the evaluation of seismic loss probability distribution including its tail by evaluating the seismic loss exceedance probability. Taking into account uncertainties from structural mod-eling, the modeling of future uncertain excitation and the models for damage and loss analysis, the evaluation of the exceedance probability will unavoidably involve the computation of high-dimensional integrals. A new method based on stochastic simulation algorithms is proposed to compute such integrals more efficiently. The effectiveness and efficiency of the proposed method are shown by an illustrative example involving a multi-storey inelastic building. Accepted Version 2014-10-23T07:39:46Z 2019-12-06T13:28:54Z 2014-10-23T07:39:46Z 2019-12-06T13:28:54Z 2013 2013 Conference Paper Cheung, S. H., & Bansal, S. (2014). Probabilistic seismic loss estimation by stochastic simulation algorithms. Safety, Reliability, Risk and Life-Cycle Performance of Structures and Infrastructures (pp. 4107-4113): CRC Press. https://hdl.handle.net/10356/79595 http://hdl.handle.net/10220/24109 10.1201/b16387-596 en © 2013 Taylor & Francis Group, London. This is the author created version of a work that has been peer reviewed and accepted for publication by Safety, Reliability, Risk and Life-Cycle Performance of Structures and Infrastructures, Taylor and Francis Group. It incorporates referee’s comments but changes resulting from the publishing process, such as copyediting, structural formatting, may not be reflected in this document. The published version is available at: [http://dx.doi.org/10.1201/b16387-596]. 7 p. application/pdf |
| spellingShingle | DRNTU::Engineering::Civil engineering Cheung, Sai Hung Bansal, Sahil Probabilistic seismic loss estimation by stochastic simulation algorithms |
| title | Probabilistic seismic loss estimation by stochastic simulation algorithms |
| title_full | Probabilistic seismic loss estimation by stochastic simulation algorithms |
| title_fullStr | Probabilistic seismic loss estimation by stochastic simulation algorithms |
| title_full_unstemmed | Probabilistic seismic loss estimation by stochastic simulation algorithms |
| title_short | Probabilistic seismic loss estimation by stochastic simulation algorithms |
| title_sort | probabilistic seismic loss estimation by stochastic simulation algorithms |
| topic | DRNTU::Engineering::Civil engineering |
| url | https://hdl.handle.net/10356/79595 http://hdl.handle.net/10220/24109 |
| work_keys_str_mv | AT cheungsaihung probabilisticseismiclossestimationbystochasticsimulationalgorithms AT bansalsahil probabilisticseismiclossestimationbystochasticsimulationalgorithms |