K
Khalid M. Mosalam
Researcher at University of California, Berkeley
Publications - 184
Citations - 6077
Khalid M. Mosalam is an academic researcher from University of California, Berkeley. The author has contributed to research in topics: Earthquake engineering & Earthquake shaking table. The author has an hindex of 36, co-authored 175 publications receiving 4645 citations. Previous affiliations of Khalid M. Mosalam include UCB & Pontifical Catholic University of Chile.
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Probabilistic Capacity Models and Fragility Estimates for Reinforced Concrete Columns based on Experimental Observations
TL;DR: In this article, a methodology to construct probabilistic capacity models of structural components is developed, which properly accounts for aleatory and epistemic uncertainties, and is used to estimate the fragility of a typical bridge column in terms of maximum deformation and shear demands.
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Deep Transfer Learning for Image-Based Structural Damage Recognition
TL;DR: This article implements the state‐of‐the‐art deep learning technologies for a civil engineering application, namely recognition of structural damage from images with four naïve baseline recognition tasks: component type identification, spalling condition check, damage level evaluation, and damage type determination.
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Performance of reinforced concrete buildings during the August 17, 1999 Kocaeli, Turkey earthquake, and seismic design and construction practise in Turkey
TL;DR: In this paper, a large number of reinforced concrete buildings collapsed or were heavily damaged during the 7.4 magnitude earthquake that struck northwestern Turkey on August 17, 1999, and the elastic acceleration response spectra from the recorded motions were comparable with the elastic design spectra specified in the current Turkish seismic code.
Pacific earthquake engineering research center
Matías A. Hube,Khalid M. Mosalam +1 more
TL;DR: In this article, the authors present a Table of Contents (table of contents) and a List of FIGURES (list of figures) as well as a list of TABLES.
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Probabilistic seismic demand models and fragility estimates for rc bridges
TL;DR: In this article, a Bayesian methodology to construct probabilistic seismic demand models for the components of a structural system is developed, which combines existing deterministic models and observational data to estimate the seismic fragilities of bridge components.