A genetic algorithm framework for seismic retrofit of building portfolios to enhance community resilience

Autor: Sediek, Omar A., Roohi, Milad, van de Lindt, John W.

Publikováno v: In International Journal of Disaster Risk Reduction 15 June 2024 108

Performance-based Post-earthquake Decision-making for Instrumented Buildings

Autor: Roohi, Milad, Hernandez, Eric M.

This paper presents a framework for decision-making regarding post-earthquake assessment of instrumented buildings in a manner consistent with performance-based design criteria. This framework is achieved by simultaneously combining and advancing exi

Externí odkaz: http://arxiv.org/abs/2002.11702

Seismic Damage Assessment of Instrumented Wood-frame Buildings: A Case-study of NEESWood Full-scale Shake Table Tests

Autor: Roohi, Milad, Hernandez, Eric M., Rosowsky, David

Publikováno v: Presented at Engineering Mechanics Institute Conference 2018 (MS 23-Advanced deep learning based SHM) and in the EMI SHM and Control Committee Student Paper Competition at MIT, Boston, MA, May 29-June 1, 2018

The authors propose a methodology to perform seismic damage assessment of instrumented wood-frame buildings using response measurements. The proposed methodology employs a nonlinear model-based state observer that combines sparse acceleration measure

Externí odkaz: http://arxiv.org/abs/1902.09955

Deep learning for seismic structural monitoring by accounting for mechanics-based model uncertainty

Autor: Cheraghzade, Milad, Roohi, Milad

Publikováno v: In Journal of Building Engineering 1 October 2022 57

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