C
Carmine Galasso
Researcher at University College London
Publications - 160
Citations - 2740
Carmine Galasso is an academic researcher from University College London. The author has contributed to research in topics: Fragility & Computer science. The author has an hindex of 19, co-authored 127 publications receiving 1651 citations. Previous affiliations of Carmine Galasso include University of Naples Federico II & Istituto Universitario Di Studi Superiori Di Pavia.
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REXEL: computer aided record selection for code-based seismic structural analysis
TL;DR: It is shown how REXEL can effectively be a contribution to code-based real records selection for seismic structural analysis.
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Ground Motion Record Selection Based on Broadband Spectral Compatibility
TL;DR: In this paper, a software tool for computer-aided displacement-spectrum-compatible real ground motion record selection was developed for the selection of displacement spectrum compatible real ground motions, with special reference to Italy.
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Current Challenges and Future Trends in Analytical Fragility and Vulnerability Modeling
Vitor Silva,Sinan Akkar,Jack W. Baker,Paolo Bazzurro,José Miguel Castro,Helen Crowley,Matjaz Dolsek,Carmine Galasso,Sergio Lagomarsino,Ricardo Monteiro,Daniele Perrone,Kyriazis Pitilakis,Dimitrios Vamvatsikos +12 more
TL;DR: Critical topics related to the selection of ground motion records, modeling of complex real structures through simplified approaches, propagation of aleatory and epistemic uncertainties, and validation of vulnerability results were discussed, and suggestions were proposed to improve the reliability and accuracy in vulnerability modeling.
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Earthquake early warning: Recent advances and perspectives
TL;DR: Next-generation EEW systems should incorporate engineering-based, application-specific models/tools for more effective risk communication, and operate within robust probabilistic frameworks that explicitly quantify uncertainties at each stage of the analysis, for more informed stakeholder decision-making.
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Fragility Curves for Assessing the Resilience of Electricity Networks Constructed from an Extensive Fault Database
TL;DR: In this paper, the authors propose that robust infrastructure networks are vital to ensure community resilience; their failure leads to severe societal disruption and they have important post-disaster functions However, as these