2000
DOI: 10.1007/s001580050145
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Topology and performance redesign of complex structures by large admissible perturbations

Abstract: A methodology for topology redesign of complex structures by LargE Admissible Perturbations (LEAP) is developed. LEAP theory is extended to solve topology redesign problems using 8-node solid elements. The corresponding solution algorithm is developed as well. The redesign problem is defined as a two-state problem. State S1 has undesirable characteristics and/or performance not satisfying certain designer specifications. The unknown State S2 has the desired structural response and locally optimum topology. Fir… Show more

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Cited by 10 publications
(3 citation statements)
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References 19 publications
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“…In this appendix, the general perturbation equation for static deflection with static mode compensation is derived (Suryatama and Bernitsas 2000). (16) can be written as…”
Section: Appendix A: General Perturbation Equation For Static Deflectmentioning
confidence: 99%
See 1 more Smart Citation
“…In this appendix, the general perturbation equation for static deflection with static mode compensation is derived (Suryatama and Bernitsas 2000). (16) can be written as…”
Section: Appendix A: General Perturbation Equation For Static Deflectmentioning
confidence: 99%
“…However, the performance-based features of a structure can be any of the following or combinations thereof: static displacements, natural frequencies, forced dynamic amplitudes, and static stresses. The LargE Admissible Perturbation (LEAP) theory, introduced into topology redesign by Suryatama and Bernitsas (2000), makes it possible to impose several performance constraints simultaneously.…”
mentioning
confidence: 99%
“…The calculus of small structural change using perturbations based redesign methods have been introduced by Stetson and Palma (1976) for the large admissible perturbation methodology (LEAP). Using the evolutionary structural optimization method, the LEAP methodology was developed by Suryatama and Bernitsas (2000); Miao and Bernitsas (2006) to optimize structures. The optimal design of shallow foundations can include information on topology, shape and size optimization.…”
Section: Introductionmentioning
confidence: 99%