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Hamed Fathnejat
Hamed Fathnejat
Postdoctoral Researcher at Basque Center for Applied Mathematics (BCAM)
Verified email at bcamath.org - Homepage
Title
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Year
A modified teaching–learning optimization algorithm for structural damage detection using a novel damage index based on modal flexibility and strain energy under environmental …
B Ahmadi-Nedushan, H Fathnejat
Engineering with Computers 38 (1), 847-874, 2022
432022
A data-driven structural damage identification approach using deep convolutional-attention-recurrent neural architecture under temperature variations
H Fathnejat, B Ahmadi-Nedushan, S Hosseininejad, M Noori, WA Altabey
Engineering Structures 276, 115311, 2023
412023
A three-stage damage detection method for large-scale space structures using forward substructuring approach and enhanced bat optimization algorithm
R Ghiasi, H Fathnejat, P Torkzadeh
Engineering with Computers 35, 857-874, 2019
392019
An efficient two-stage approach for structural damage detection using meta-heuristic algorithms and group method of data handling surrogate model
H Fathnejat, B Ahmadi-Nedushan
Frontiers of Structural and Civil Engineering 14, 907-929, 2020
352020
Structural health monitoring of composite pipelines utilizing fiber optic sensors and an AI-based algorithm—A comprehensive numerical study
WA Altabey, Z Wu, M Noori, H Fathnejat
Sensors 23 (8), 3887, 2023
282023
Damage detection of plate-like structures using intelligent surrogate model
P Torkzadeh, H Fathnejat, R Ghiasi
Smart Struct. Syst 18 (6), 1233-1250, 2016
282016
Structural damage detection by model updating method based on cascade feed-forward neural network as an efficient approximation mechanism
H Fathnejat, P Torkzadeh, E Salajegheh, R Ghiasi
Int J Optim Civil Eng 4 (4), 451-72, 2014
252014
Probabilistic Topology Optimization Framework for Geometrically Nonlinear Structures Considering Load Position Uncertainty and Imperfections
M Habashneh, O Ghodousian, H Fathnejat, M Movahedi Rad
Mathematics 12 (23), 3686, 2024
2024
Continuous health monitoring of structures by processing data from sensors using proper orthogonal decomposition
H Fathnejat, B Ahmadi-Nedushan
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