@Article{icces.2023.09275,
AUTHOR = {Taotao Yuan, Haitian Yang, Yiqian He},
TITLE = {Identification	of	Constitutive	Parameters	for	the	Non-Local	Damage	 Model of	Soft	Biological	Tissues},
JOURNAL = {The International Conference on Computational \& Experimental Engineering and Sciences},
VOLUME = {25},
YEAR = {2023},
NUMBER = {4},
PAGES = {1--1},
URL = {http://www.techscience.com/icces/v25n4/53871},
ISSN = {1933-2815},
ABSTRACT = {Computational	modeling	can	provide	insight	into	understanding	the	damage	mechanisms	of	soft	biological	
tissues,	and	identification	of constitutive parameters	is key	issues	in the computational	modeling.	On	the	
other	hand,	although	it	is	thought	that	computational	model	should	be	non-local	for	soft	tissues	based	on	
the	existence	of	intrinsic	length	scales,	 there	is	very	 few	work	 for	 the	identification	of	 the	parameters	of	
nonlocal	damage	models	of	soft	tissues. Firstly,	we	use	the	gradient-enhanced	damage	model	presented	in	
our	 previous	 publication	 showing	 advantages	in	 considering	 the	internal	length	 scales	 and	in	 satisfying	
mesh	independence	for	simulating	damage [1].	Secondly,	the	tension	experiments	are	carried	out	on	soft	
tissue	of	bovine	heart	artery	containing	damage	process	 to	collect	 the	measurement.	Thirdly,	an	inverse	
problem	is	solved	by	solving	an	optimization	problem,	and	a	surrogate	model	is	built	to	replace	nonlinear	
FEM	computation	to	save	the	computational	cost	of	inverse	problems [2].	The	computational	results	show	
the	proposed	model	has	good	accuracy	in	the	identification	of	nonlocal	damage	parameters.},
DOI = {10.32604/icces.2023.09275}
}