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Homayoon E. Estekanchi

Researcher at Sharif University of Technology

Publications -  133
Citations -  2287

Homayoon E. Estekanchi is an academic researcher from Sharif University of Technology. The author has contributed to research in topics: Endurance Time Method & Seismic analysis. The author has an hindex of 23, co-authored 125 publications receiving 1885 citations. Previous affiliations of Homayoon E. Estekanchi include University of Tehran.

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Endurance time method for multi-component analysis of steel elastic moment frames

TL;DR: In this article, an algorithm for the multi-component analysis of building structures by the ET method is proposed, and results of the ET-based dynamic analysis procedure for various steel moment frames with 1 to 7 stories are compared with results from time history analysis with real earthquakes.
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An EWA framework for the probabilistic-based structural integrity assessment of offshore platforms

TL;DR: Endurance Wave Analysis is a novel, simple, economical but yet reliable method for the integrity assessment of offshore platforms against extreme irregular waves and it yet requires very short simulation time, as compared to the costly conventional 3-h time-domain analyses.
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Incorporation of strong motion duration in incremental-based seismic assessments

TL;DR: In this paper, a new approach to incorporate motion duration in incremental dynamic assessments is proposed, where at each intensity level, a simulation-based approach which is verified with actual data is employed to determine the median duration and the median acceleration spectra of ground motions expected to occur at the site.
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Estimating the duration effects in structural responses by a new energy-cycle based parameter

TL;DR: In this paper, a new approach is proposed to determine the number of nonlinear cycles, which can be used as a criterion to select ground motions for dynamic analysis, and the proposed parameter is expected to demonstrate a high correlation with the response of structures even for the structures having deteriorative and degraded behaviour during the motion.

Production of endurance time excitation functions: the cma evolution strategy approach *

TL;DR: In this article, the Covariance Matrix Adaptation Evolution Strategy (CMA-ES) was employed to produce the excitation functions, which has found many applications in solving continuous optimization problems.