bibtype J - Journal Article
ARLID 0106333
utime 20240103173136.2
mtime 20050324235959.9
title (primary) (eng) Solving nonconvex SDP problems of structural optimization with stability control
specification
page_count 15 s.
serial
ARLID cav_un_epca*0254588
ISSN 1055-6788
title Optimization Methods & Software
volume_id 19
volume 5 (2004)
page_num 595-609
publisher
name Taylor & Francis
title (cze) Reseni nekonvexnich semidefinitnich problemu strukturalni optimalizace s omezenimi na stabilitu
keyword structural optimization
keyword stability control
keyword nonconvex semidefinite programming
author (primary)
ARLID cav_un_auth*0101131
name1 Kočvara
name2 Michal
institution UTIA-B
full_dept Department of Decision Making Theory
fullinstit Ústav teorie informace a automatizace AV ČR, v. v. i.
author
name1 Stingl
name2 M.
country DE
ARLID cav_un_auth*0021060
COSATI 12A
COSATI 12C
COSATI 130
cas_special
project
project_id IAA1075005
agency GA AV ČR
ARLID cav_un_auth*0012782
project
project_id 03ZOM3ER
agency BMBF
country DE
ARLID cav_un_auth*0046476
research CEZ:AV0Z1075907
abstract (eng) The goal of this paper is to formulate and solve structural optimization problems with constraints on the global stability of the structure. The stability constraint is based on the linear buckling phenomenon. We formulate the problem as a nonconvex semidefinite programming problem and introduce an algorithm based on the Augmented Lagrangian method combined with the Trust-Region technique. The algorithm is implemented in a code PENNON. The paper is concluded by a series of numerical examples.
abstract (cze) V clanku formulujeme a resime problem strukturalni optimalizace s omezenim na globalni stabilitu optimalni struktury. Problem formulujeme jako nekonvexni ulohu semidefinitniho programovani a resime zobecnenou metodou rozsirenych lagrangianu
reportyear 2005
RIV BA
permalink http://hdl.handle.net/11104/0013515
ID_orig UTIA-B 20040145
arlyear 2004
mrcbU63 cav_un_epca*0254588 Optimization Methods & Software 1055-6788 1029-4937 Roč. 19 č. 5 2004 595 609 Taylor & Francis