TY  - EJOU
AU  - Alkayem, Nizar Faisal 
AU  - Cao, Maosen 

TI  - Structural	Damage	Identification	Using	Modal	Energy	and	Improved	 Hybrid	Gradient-Based	Optimizer
T2  - The International Conference on Computational \& Experimental Engineering and Sciences

PY  - 2023
VL  - 26
IS  - 4
SN  - 1933-2815

AB  - Structural	damage	identification	is	a	key	engineering	technique	that	attempts	to	ensure	structural	reliability.	
In	 this	regard,	one	of	 the	major	intelligent	approaches	is	 the	inverse	analysis	of	structural	damage	using	
metaheuristics.	By	considering	the	recent	achievements,	an	efficient	hybrid	objective	function	that	combines	
the	 modal	 kinetic	 energy	 and	 modal	 strain	 energy	 is	 developed.	 The	 objective	 function	 aims	 to	 extract	
maximum	modal	information	 from	 the	 structure	 and	 overcome	 noisy	 conditions.	Moreover,	 the	 original	
methods	are	usually	vulnerable	to	the	associated	high	multimodality	and	uncertainty	of	the	inverse	problem.	
Therefore,	 the	 particle	 swarm	 algorithm	 (PSO)	 mechanism	 is	 combined	 with	 another	 newly	 developed	
algorithm,	the	gradient	based	optimizer	(GBO).	The	new	algorithm,	called	the	gradient	based	particle	swarm	
optimization	(GBPSO),	with	the	acceleration	improvements,	enhances	exploration,	and	the	local	escaping	
operator	 of	GBO	is	 developed	 to	 deal	with	 the	 complex	inverse	analysis	 of	 structural	 damage	 problems.	
Furthermore,	the	introduced	structural	damage	detection	approach	is	applied	using	several	damage	cases	
in	 frame	 structure.	 The	 introduced	 approach	 exhibits	 dominant	 performance	 and	 robust	 results	 when	
dealing	with	the	inverse	analysis of	structural	damage	problem.
KW  - SHM
KW  - 	Metaheuristics; inverse	problem; modal	features

DO  - 10.32604/icces.2023.09367