Methods, techniques, and tools for assessing the seismic vulnerability of building stocks
Seismic Vulnerability Assessment of Civil Engineering Structures At Multiple Scales, Page: 229-247
2022
- 12Captures
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Example: if you select the 1-year option for an article published in 2019 and a metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019. If you select the 3-year option for the same article published in 2019 and the metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019, 2018 and 2017.
Citation Benchmarking is provided by Scopus and SciVal and is different from the metrics context provided by PlumX Metrics.
Metrics Details
- Captures12
- Readers12
- 12
Book Chapter Description
The task of selecting the most appropriate method or technique to assess the seismic vulnerability of large building stocks must be based on a proper balance between the simplicity of the tool to be used and the accuracy of the results, knowing that vulnerability assessment outputs are inevitably affected by uncertainties of multiple origins, including those related to the limitations of the models themselves, and with distinct impacts. To safeguard against such uncertainties (or at least to minimize their impact), any assessment must be founded on a solid knowledge of the method to be used and the criteria behind the selection of this method over others. In an attempt to contribute to systematizing this knowledge, the present chapter provides a comprehensive review of some of the most relevant methods and techniques used for assessing large-scale seismic vulnerability.
Bibliographic Details
http://www.sciencedirect.com/science/article/pii/B9780128240717000093; http://dx.doi.org/10.1016/b978-0-12-824071-7.00009-3; http://www.scopus.com/inward/record.url?partnerID=HzOxMe3b&scp=85131476460&origin=inward; https://linkinghub.elsevier.com/retrieve/pii/B9780128240717000093; https://dx.doi.org/10.1016/b978-0-12-824071-7.00009-3
Elsevier BV
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