M. Salkhordeh
Ph.D. student, Department of civil and Environmental Engineering, K. N. Toosi University of Technology, Tehran, Iran.
[ 1 ] - A swift neural network-based algorithm for demand estimation in concrete moment-resisting buildings
Rapid evaluation of demand parameters of different types of buildings is crucial for social restoration after damaging earthquakes. Previous studies proposed numerous methodologies to measure the performance of buildings for assessing the potential risk under the seismic hazard. However, time-consuming Nonlinear Response History Analysis (NRHA) barricaded implementing a prompt loss estimation ...
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