dc.contributor.author |
Wilke, DN
|
|
dc.contributor.author |
Kok, S
|
|
dc.contributor.author |
Groenwold, AA
|
|
dc.date.accessioned |
2013-11-28T10:44:27Z |
|
dc.date.available |
2013-11-28T10:44:27Z |
|
dc.date.issued |
2013-02 |
|
dc.identifier.citation |
Wilke, D.N, Kok, S and Groenwold, A.A. 2013. Relaxed error control in shape optimization that utilizes remeshing. International Journal for Numerical Methods in Engineering, vol. 94(3), pp 273-289 |
en_US |
dc.identifier.issn |
0029-5981 |
|
dc.identifier.uri |
http://hdl.handle.net/10204/7108
|
|
dc.identifier.uri |
http://hdl.handle.net/10204/7109
|
|
dc.description |
Copyright: 2013 Wiley-Blackwell. This is an ABSTRACT ONLY. The definitive version is published in International Journal for Numerical Methods in Engineering, vol. 94(3), pp 273-289 |
en_US |
dc.description.abstract |
Shape optimization strategies based on error indicators usually require strict error control for every computed design during the optimization run. The strict error control serves two purposes. Firstly, it allows for the accurate computation of the structural response used to define the shape optimization problem itself. Secondly, it reduces the discretization error, which in turn reduces the size of the step discontinuities in the objective function that result from remeshing in the first place. These discontinuities may trap conventional optimization algorithms, which rely on both function and gradient evaluations, in local minima. This has the drawback that multiple analyses and error computations are often required per design to control the error. In this study the authors propose a methodology that relaxes the requirements for strict error control for each design. Instead, they rather control the error as the iterations progress. Their approach only requires a single analysis and error computation per design. Consequently, large discontinuities may initially be accommodated; their intensities reduce as the iterations progress. To circumvent the difficulties associated with local minima due to remeshing, they rely on gradient-only optimization algorithms, which have previously been shown to be able to robustly overcome these discontinuities. |
en_US |
dc.language.iso |
en |
en_US |
dc.publisher |
Wiley-Blackwell |
en_US |
dc.relation.ispartofseries |
Workflow;11777 |
|
dc.subject |
Error indicators |
en_US |
dc.subject |
Remeshing |
en_US |
dc.subject |
R-refinement |
en_US |
dc.subject |
Shape optimization |
en_US |
dc.subject |
Radial basis function |
en_US |
dc.subject |
Analytical sensitivities |
en_US |
dc.subject |
Gradient-only optimization |
en_US |
dc.subject |
Discontinuities |
en_US |
dc.title |
Relaxed error control in shape optimization that utilizes remeshing |
en_US |
dc.type |
Article |
en_US |
dc.identifier.apacitation |
Wilke, D., Kok, S., & Groenwold, A. (2013). Relaxed error control in shape optimization that utilizes remeshing. http://hdl.handle.net/10204/7109 |
en_ZA |
dc.identifier.chicagocitation |
Wilke, DN, S Kok, and AA Groenwold "Relaxed error control in shape optimization that utilizes remeshing." (2013) http://hdl.handle.net/10204/7109 |
en_ZA |
dc.identifier.vancouvercitation |
Wilke D, Kok S, Groenwold A. Relaxed error control in shape optimization that utilizes remeshing. 2013; http://hdl.handle.net/10204/7109. |
en_ZA |
dc.identifier.ris |
TY - Article
AU - Wilke, DN
AU - Kok, S
AU - Groenwold, AA
AB - Shape optimization strategies based on error indicators usually require strict error control for every computed design during the optimization run. The strict error control serves two purposes. Firstly, it allows for the accurate computation of the structural response used to define the shape optimization problem itself. Secondly, it reduces the discretization error, which in turn reduces the size of the step discontinuities in the objective function that result from remeshing in the first place. These discontinuities may trap conventional optimization algorithms, which rely on both function and gradient evaluations, in local minima. This has the drawback that multiple analyses and error computations are often required per design to control the error. In this study the authors propose a methodology that relaxes the requirements for strict error control for each design. Instead, they rather control the error as the iterations progress. Their approach only requires a single analysis and error computation per design. Consequently, large discontinuities may initially be accommodated; their intensities reduce as the iterations progress. To circumvent the difficulties associated with local minima due to remeshing, they rely on gradient-only optimization algorithms, which have previously been shown to be able to robustly overcome these discontinuities.
DA - 2013-02
DB - ResearchSpace
DP - CSIR
KW - Error indicators
KW - Remeshing
KW - R-refinement
KW - Shape optimization
KW - Radial basis function
KW - Analytical sensitivities
KW - Gradient-only optimization
KW - Discontinuities
LK - https://researchspace.csir.co.za
PY - 2013
SM - 0029-5981
T1 - Relaxed error control in shape optimization that utilizes remeshing
TI - Relaxed error control in shape optimization that utilizes remeshing
UR - http://hdl.handle.net/10204/7109
ER -
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en_ZA |