@Article{icces.2023.09095,
AUTHOR = {Wenjun Chen, Yingjun Wang},
TITLE = {Multi-Scale	Topology	Optimization	Method	Considering	Multiple	 Structural	Performances},
JOURNAL = {The International Conference on Computational \& Experimental Engineering and Sciences},
VOLUME = {26},
YEAR = {2023},
NUMBER = {2},
PAGES = {1--1},
URL = {http://www.techscience.com/icces/v26n2/54037},
ISSN = {1933-2815},
ABSTRACT = {The	 rapid	development	of	 topology	optimization	has	given	birth	 to	a	large	amount	of	different	 topology	
optimization	 methods,	 and	 each	 of	 them	 can	 manage	 a	 class	 of	 corresponding	 engineering	 problems.	
However,	structures	need to	meet	a	variety	of	requirements	in	engineering	application,	such	as	lightweight	
and	 multiple	 load-bearing	 performance.	 To	 design	 composite	 structures	 that	 have multiple	 structural	
properties,	a new	multi-scale	topology	optimization	method	considering	multiple	structural	performances	
is	proposed	in	this	paper.	Based	on	the	fitting	functions	of	the	result	set	and	the	bisection	method,	a	new	
method	to	determine	the	weight	coefficient	is	proposed	in this	paper,	which	can	shorten	the	gap	between	
the	optimized	results	and	the	design	requirement.	Several	numerical	examples	are	proposed	to	demonstrate	
practicality	 of	 the	 proposed	 method. To	 further	 explore	 the	 performance	 of	 the	 proposed	 method,	 the	
numerical	examples	are	carried	out	considering	two	different	objective functions. The	results	show	that	the	
proposed	 method	 is	 effective	 and	 practical	 in	 both	 the	 situation	 of	 the multi-objective	 functions. The	
proposed	method	provides	 the	structures	with	a	larger	result	set,	where	 the	result	points	have	different	
macroscopic	properties	comparing	with	the	single-scale	situations.	This	method	is	with	high	efficiency	and	
convenient	implementation.},
DOI = {10.32604/icces.2023.09095}
}