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Shahram Pezeshk
Shahram Pezeshk
Verified email at memphis.edu
Title
Cited by
Cited by
Year
Optimized design of two-dimensional structures using a genetic algorithm
C Camp, S Pezeshk, G Cao
Journal of structural engineering 124 (5), 551-559, 1998
4481998
Design of nonlinear framed structures using genetic optimization
S Pezeshk, CV Camp, D Chen
Journal of structural engineering 126 (3), 382-388, 2000
3532000
Selection and scaling of ground motion time histories for structural design using genetic algorithms
F Naeim, A Alimoradi, S Pezeshk
Earthquake spectra 20 (2), 413-426, 2004
3132004
Flexural design of reinforced concrete frames using a genetic algorithm
CV Camp, S Pezeshk, H Hansson
Journal of structural engineering 129 (1), 105-115, 2003
2822003
On the application of machine learning techniques to derive seismic fragility curves
J Kiani, C Camp, S Pezeshk
Computers & Structures 218, 108-122, 2019
2022019
Hybrid empirical ground-motion prediction equations for eastern North America using NGA models and updated seismological parameters
S Pezeshk, A Zandieh, B Tavakoli
Bulletin of the Seismological Society of America 101 (4), 1859-1870, 2011
1992011
Empirical-stochastic ground-motion prediction for eastern North America
B Tavakoli, S Pezeshk
Bulletin of the Seismological Society of America 95 (6), 2283-2296, 2005
1592005
A new inversion procedure for spectral analysis of surface waves using a genetic algorithm
S Pezeshk, M Zarrabi
Bulletin of the Seismological Society of America 95 (5), 1801-1808, 2005
692005
Adaptive search optimization in reducing pump operating costs
S Pezeshk, OJ Helweg
Journal of Water Resources Planning and Management 122 (1), 57-63, 1996
691996
Probabilistic performance-based optimal design of steel moment-resisting frames. I: Formulation
CM Foley, S Pezeshk, A Alimoradi
Journal of Structural Engineering 133 (6), 757-766, 2007
662007
School based optimization algorithm for design of steel frames
M Farshchin, M Maniat, CV Camp, S Pezeshk
Engineering Structures 171, 326-335, 2018
632018
Partially nonergodic empirical ground‐motion models for predicting horizontal and vertical PGV, PGA, and 5% damped linear acceleration response spectra using data from the …
F Sedaghati, S Pezeshk
Bulletin of the Seismological Society of America 107 (2), 934-948, 2017
622017
State of the art on the use of genetic algorithms in design of steel structures
S Pezeshk, CV Camp
Recent advances in optimal structural design, 55, 2002
522002
An improvement on the estimation of pseudoresponse spectral velocity using RVT method
L Liu, S Pezeshk
Bulletin of the Seismological Society of America 89 (5), 1384-1389, 1999
521999
Risk-based seismic design for optimal structural and nonstructural system performance
HA Rojas, C Foley, S Pezeshk
Earthquake Spectra 27 (3), 857-880, 2011
512011
Sensitivity analysis of the seismic demands of RC moment resisting frames to different aspects of ground motions
J Kiani, S Pezeshk
Earthquake engineering & structural dynamics 46 (15), 2739-2755, 2017
502017
Alternative hybrid empirical ground‐motion model for central and eastern North America using hybrid simulations and NGA‐West2 models
A Shahjouei, S Pezeshk
Bulletin of the Seismological Society of America 106 (2), 734-754, 2016
472016
Seismic performance-based design optimization considering direct economic loss and direct social loss
S Saadat, CV Camp, S Pezeshk
Engineering Structures 76, 193-201, 2014
442014
Geophysical log interpretation using neural network
S Pezeshk, CV Camp, S Karprapu
Journal of computing in civil engineering 10 (2), 136-142, 1996
431996
Ground‐motion prediction equations for central and eastern North America using the hybrid empirical method and NGA‐West2 empirical ground‐motion models
S Pezeshk, A Zandieh, KW Campbell, B Tavakoli
Bulletin of the Seismological Society of America 108 (4), 2278-2304, 2018
422018
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