@Article{icces.2023.08904,
AUTHOR = {Zhenbiao	Guo},
TITLE = {Multi-resolution	Topology	Optimization	Using	B-spline	to	Represent	the	 Density	Field},
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/v25n4/53867},
ISSN = {1933-2815},
ABSTRACT = {This	work	proposes	a	novel	multi-resolution	topology	optimization	method	using	B-spline	to	represent	the	
density	 field,	 and	 overcomes	 the	 defects	 of	 tedious	 post-processing	 of	 element-based	 models	 and	 low	
computational	efficiency	of	topology	optimization	for	large-scale	problems.	The	design	domain	embedded	
in	 the	B-spline	space	is	discretized	with	a	coarser	analysis	mesh	and	a	 finer	density	mesh	 to	reduce	 the	
computational	 cost	 of	 finite	 element	 analysis.	 As	 design	 variables,	 the	 coefficients	 of	 the	 control points	
control	the	shape	of	the	B-spline.	The	optimized	B-spline	can	be	quickly	and	precisely	converted	into	a	CAD	
model.	 Sensitivity	 filtering	 is	 additionally	 applied	 to	 enhance	 B-spline’s	 smoothness	 and	 suppress	 QRpatterns.	 Numerical	 examples,	including	 2D	 and	 3D	 cases,	 are	 tested	 to	 demonstrate	 that	 the	 proposed	
method	 significantly	 saves	 computational	 time	 without	 sacrificing	 the	 performance	 of	 the	 optimized	
structure.	Moreover,	the	post-processing	procedures	are	streamlined,	resulting	in	continuous,	smooth,	and	
editable	models.},
DOI = {10.32604/icces.2023.08904}
}