Omid Yazdanpanah

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Co-authors

Seyed Mohammad SeyedpoorAssociate Professor of Structural Engineering, Shomal UniversityVerified email at shomal.ac.ir
Benyamin MohebiImam Khomeini International UniversityVerified email at eng.ikiu.ac.ir
Minwoo ChangMyongji UniversityVerified email at mju.ac.kr
Kiarash M. DolatshahiProfessor of Structural and Earthquake EngineeringVerified email at ucla.edu
Farzin KazemiGdańsk University of Technology, Poland & University College London, London, UKVerified email at ucl.ac.uk
Antonio FormisanoUniversità di Napoli Federico IIVerified email at unina.it
Omid MoammerPhD Candidate, Civil and Structural Engineering, University of AlbertaVerified email at ualberta.ca
Mansoor YakhchalianAssistant Professor of Earthquake Engineering, Imam Khomeini International UniversityVerified email at eng.ikiu.ac.ir
Davood Domiri(Domairry) GanjiProfessor of Mechanical Engineering, Babol Noshirvani University of Technology Verified email at nitVerified email at nit.ac.ir
Ramezan Ali IzadifardAssociate Prof.Verified email at eng.ikiu.ac.ir
Niusha Navabian, PhD (Structural Eng)Nelson Marlborough Institute of Technology (NMIT)Verified email at nmit.ac.nz
Mohsen BozorgnasabAssistant Professor of Civil Engineering at University of MazandaranVerified email at umz.ac.ir
Iman Mansouri, PhD, PEDept. of Civil & Environmental Engineering, Princeton University, United StatesVerified email at princeton.edu
Robert JankowskiGdansk University of TechnologyVerified email at pg.gda.pl
Yunbyeong ChaeDepartment of Civil and Environmental Engineering, Seoul National UniversityVerified email at snu.ac.kr
Romina ChalabiStructural Engineer at Sharif University of TechnologyVerified email at sharif.edu
Mehdi DehestaniProfessor of Civil Engineering, Babol Noshirvani University of TechnologyVerified email at nit.ac.ir
Sujith Mangalathu, Ph.DMangalathu, MylamkulamVerified email at gatech.edu
Habib Akbarzadeh BengarAssociate Professor, University of MazandaranVerified email at umz.ac.ir

Omid Yazdanpanah

Research Professor, Hystec, Myongji University

Verified email at mju.ac.kr - Homepage

Structural Health Monitoring Seismic Assessment Performance-Based Earthquake Engineering Machine learning Deep Learning


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
A new damage detection indicator for beams based on mode shape data O. Yazdanpanah, S.M. Seyedpoor, H. Akbarzadeh Bengar Structural Engineering and Mechanics 53 (4), 725-744, 2015	91	2015
An efficient indicator for structural damage localization using the change of strain energy based on static noisy data SM Seyedpoor, O Yazdanpanah Applied Mathematical Modelling 38 (9-10), 2661-2672, 2014	83	2014
An efficient method for structural damage detection using a differential evolution algorithm-based optimisation approach SM Seyedpoor, S Shahbandeh, O Yazdanpanah Civil Engineering and Environmental Systems 32 (3), 230-250, 2015	61	2015
Damage identification in plate-like structure using mode shape derivatives N Navabian, M Bozorgnasab, R Taghipour, O Yazdanpanah Archive of Applied Mechanics 86, 819-830, 2016	60	2016
Seismic damage diagnosis in adjacent steel and RC MRFs considering pounding effects through improved wavelet-based damage-sensitive feature B Mohebi, O Yazdanpanah, F Kazemi, A Formisano Journal of Building Engineering 33, 101847, 2021	58	2021
Development of fragility curves in adjacent steel moment-resisting frames considering pounding effects through improved wavelet-based refined damage-sensitive feature O Yazdanpanah, B Mohebi, F Kazemi, I Mansouri, R Jankowski Mechanical Systems and Signal Processing 173, 109038, 2022	40	2022
Rapid seismic fragility curves assessment of eccentrically braced frames through an output-only nonmodel-based procedure and machine learning techniques O Yazdanpanah, KM Dolatshahi, O Moammer Engineering Structures 278, 115290, 2023	35	2023
Earthquake-induced economic loss estimation of eccentrically braced frames through roof acceleration-based nonmodel approach O Yazdanpanah, KM Dolatshahi, O Moammer Journal of Constructional Steel Research 187, 106888, 2021	31	2021
Selection of optimal wavelet-based damage-sensitive feature for seismic damage diagnosis O Yazdanpanah, B Mohebi, M Yakhchalian Measurement 154, 107447, 2020	31	2020
Seismic damage assessment using improved wavelet-based damage-sensitive features O Yazdanpanah, B Mohebi, M Yakhchalian Journal of Building Engineering 31, 101311, 2020	28	2020
Seismic response prediction of RC bridge piers through stacked long short-term memory network O Yazdanpanah, M Chang, M Park, CY Kim Structures 45, 1990-2006, 2022	25	2022
Fragility curves for seismic damage assessment in regular and irregular MRFs using improved wavelet-based damage index O Yazdanpanah, A Formisano, M Chang, B Mohebi Measurement 182, 109558, 2021	25	2021
New approaches to identification of the Lagrange multiplier in the variational iteration method SS Samaee, O Yazdanpanah, DD Ganji Journal of the Brazilian Society of Mechanical Sciences and Engineering 37 …, 2015	20	2015
Nonmodel rapid seismic assessment of eccentrically braced frames incorporating masonry infills using machine learning techniques Romina Chalabi, Omid Yazdanpanah, Kiarash M. Dolatshahi Journal of Building Engineering, 107784, 2023	17	2023
A crack localization method for beams via an efficient static data based indicator O Yazdanpanah, SM Seyedpoor Computational Methods in Civil Engineering 4 (1), 43-63, 2013	13	2013
Static data based damage localization of beam-column structures considering axial load O Yazdanpanah, RA Izadifard, M Dehestani Mechanics of Advanced Materials and Structures 27 (16), 1433-1450, 2020	11	2020
Force-deformation relationship prediction of bridge piers through stacked LSTM network using fast and slow cyclic tests Omid Yazdanpanah, Minwoo Chang, Minseok Park, Yunbyeong Chae Structural Engineering and Mechanics 85 (4), 469-484, 2023	9*	2023
Structural damage detection by differential evolution as a global optimization algorithm SM Seyedpoor, O Yazdanpanah Iranian Journal of Structural Engineering 1 (1), 52-62, 2015	9	2015
Hybrid stacked neural network empowered by novel loss function for structural response history prediction using input excitation and roof acceleration R Karami, O Yazdanpanah, KM Dolatshahi, M Chang Engineering Applications of Artificial Intelligence 136, 108984, 2024	5	2024
Analytical solution for a suspension bridge by applying HPM and VIM SS Samaee, O Yazdanpanah, DD Ganji, AA Mofidi International Journal of Computer Mathematics 92 (4), 782-801, 2015	3	2015

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