1984
DOI: 10.1016/0045-7949(84)90034-8
|View full text |Cite
|
Sign up to set email alerts
|

Optimal synthesis of frameworks under multilevel performance constraints

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2

Citation Types

0
2
0

Year Published

1985
1985
1992
1992

Publication Types

Select...
3
3

Relationship

0
6

Authors

Journals

citations
Cited by 18 publications
(2 citation statements)
references
References 5 publications
0
2
0
Order By: Relevance
“…Most structural optimization studies reported in the literature are concerned with the minimization of material consumption by using mathematical programming techniques without any regard to the uncertainties inherent in the design process [1][2][3][4][5][6][7][8][9] . In its general form, this minimum weight deterministic optimization problem is expressed as 7,9 : Minimize W= W i objective function (1) Subject to δ L j ≤ δ j ≤ δ U j j = 1,2,...,p (2)…”
Section: Computer-automated Deterministic Optimization: a Reviewmentioning
confidence: 99%
See 1 more Smart Citation
“…Most structural optimization studies reported in the literature are concerned with the minimization of material consumption by using mathematical programming techniques without any regard to the uncertainties inherent in the design process [1][2][3][4][5][6][7][8][9] . In its general form, this minimum weight deterministic optimization problem is expressed as 7,9 : Minimize W= W i objective function (1) Subject to δ L j ≤ δ j ≤ δ U j j = 1,2,...,p (2)…”
Section: Computer-automated Deterministic Optimization: a Reviewmentioning
confidence: 99%
“…excessive deflection). As suggested by Grierson and Schmit 7 for deterministic optimization, and by Frangopol 45 for reliability-based optimization, the major drawback to such an approach is that design decisions at one limit state must be made in the absence of explicit information as to their consequences at the other limit states of concern; for this reason previous design gains are very often negated and, at best a cumbersome iterative procedure (design-analysis-objective function evaluation-redesign-re-analysis-re-evaluation-...) is required to achieve a reasonably efficient design 7,9,45 .…”
Section: Computer-automated Reliability-based Optimization Backgroundmentioning
confidence: 99%