Abstract
Design optimization methodologies for sizing and shape optimal design have undergone an evolutionary process over the last Mo decades. The motivation behind the changes is to develop a methodology with no practical limitations on the nature and size of the problem that can be solved. In this research, a personal computer-based shape optimal design system is developed with particular attention to robustness, generality, efficiency, and pre- and postprocessing. To achieve these objectives, the hybrid natural shape optimization approach is developed and used with adequate control over the velocity field matrix generation. User control over model creation and mesh generation makes it possible to minimize mesh distortion and the need for remeshing. Design sensitivity expressions using the implicit differentiation method are derived. It is shown that the analytical derivatives can be computed efficiently for a variety of functions. Numerical examples are solved to illustrate the developed methodology using a software system developed under the MS-DOS operating system.
| Original language | English (US) |
|---|---|
| Pages (from-to) | 259-274 |
| Number of pages | 16 |
| Journal | Computer-Aided Civil and Infrastructure Engineering |
| Volume | 11 |
| Issue number | 4 |
| State | Published - 1996 |
Fingerprint
ASJC Scopus subject areas
- Computational Theory and Mathematics
- Computer Science Applications
- Civil and Structural Engineering
Cite this
Toward a practical design optimization tool. / Rajan, Subramaniam; Chin, S. W.; Gani, L.
In: Computer-Aided Civil and Infrastructure Engineering, Vol. 11, No. 4, 1996, p. 259-274.Research output: Contribution to journal › Article
}
TY - JOUR
T1 - Toward a practical design optimization tool
AU - Rajan, Subramaniam
AU - Chin, S. W.
AU - Gani, L.
PY - 1996
Y1 - 1996
N2 - Design optimization methodologies for sizing and shape optimal design have undergone an evolutionary process over the last Mo decades. The motivation behind the changes is to develop a methodology with no practical limitations on the nature and size of the problem that can be solved. In this research, a personal computer-based shape optimal design system is developed with particular attention to robustness, generality, efficiency, and pre- and postprocessing. To achieve these objectives, the hybrid natural shape optimization approach is developed and used with adequate control over the velocity field matrix generation. User control over model creation and mesh generation makes it possible to minimize mesh distortion and the need for remeshing. Design sensitivity expressions using the implicit differentiation method are derived. It is shown that the analytical derivatives can be computed efficiently for a variety of functions. Numerical examples are solved to illustrate the developed methodology using a software system developed under the MS-DOS operating system.
AB - Design optimization methodologies for sizing and shape optimal design have undergone an evolutionary process over the last Mo decades. The motivation behind the changes is to develop a methodology with no practical limitations on the nature and size of the problem that can be solved. In this research, a personal computer-based shape optimal design system is developed with particular attention to robustness, generality, efficiency, and pre- and postprocessing. To achieve these objectives, the hybrid natural shape optimization approach is developed and used with adequate control over the velocity field matrix generation. User control over model creation and mesh generation makes it possible to minimize mesh distortion and the need for remeshing. Design sensitivity expressions using the implicit differentiation method are derived. It is shown that the analytical derivatives can be computed efficiently for a variety of functions. Numerical examples are solved to illustrate the developed methodology using a software system developed under the MS-DOS operating system.
UR - http://www.scopus.com/inward/record.url?scp=19944421143&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=19944421143&partnerID=8YFLogxK
M3 - Article
VL - 11
SP - 259
EP - 274
JO - Computer-Aided Civil and Infrastructure Engineering
JF - Computer-Aided Civil and Infrastructure Engineering
SN - 1093-9687
IS - 4
ER -