Structural optimization by chance constrained programming techniques

Research output: Contribution to journalArticlepeer-review

32 Scopus citations


The minimum cost design of structures with probabilistic objective and constraints is considered. The techniques of chance constrained programming are applied to solve the resulting stochastic optimization problem. The optimum design of a cable stayed box girder is considered as an example problem. The optimum results obtained from the probabilistic formulation are compared with those given by the deterministic formulation. Finally a parametric study is made to find the effects of the coefficients of variation of various strength parameters and the probability level at which the constraints are satisfied on the optimum design.

Original languageEnglish (US)
Pages (from-to)777-781
Number of pages5
JournalComputers and Structures
Issue number6
StatePublished - Dec 1980
Externally publishedYes

ASJC Scopus subject areas

  • Civil and Structural Engineering
  • Modeling and Simulation
  • Materials Science(all)
  • Mechanical Engineering
  • Computer Science Applications


Dive into the research topics of 'Structural optimization by chance constrained programming techniques'. Together they form a unique fingerprint.

Cite this