Worst scenario detection in limit analysis of trusses against deficiency of structural components

► The plastic limit analysis of a truss with some deficient structural components is addressed. ► We attempt to find the worst scenario of deficiency, in which the limit load factor attains the minimum value. ► This combinatorial optimization problem is reformulated as a mixed integer linear program...

Full description

Saved in:
Bibliographic Details
Published in:Engineering structures 2012-09, Vol.42, p.33-42
Main Author: Kanno, Yoshihiro
Format: Article
Language:English
Subjects:
Algorithms
Applied sciences
Building failures (cracks, physical changes, etc.)
Buildings. Public works
Collapse
Combinatorial analysis
Computation methods. Tables. Charts
Convergence
Durability. Pathology. Repairing. Maintenance
Exact sciences and technology
Integer optimization
Limit load
Mixed integer
Optimization
Plastic limit analysis
Robustness
Stresses. Safety
Structural analysis. Stresses
Structural degradation
Structural integrity
Trusses
Uncertainty
Citations: Items that this one cites
Items that cite this one
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:► The plastic limit analysis of a truss with some deficient structural components is addressed. ► We attempt to find the worst scenario of deficiency, in which the limit load factor attains the minimum value. ► This combinatorial optimization problem is reformulated as a mixed integer linear programming problem. ► We illustrate that key elements of a structure depend on the number of deficient structural components. This paper addresses the plastic limit analysis of a truss with some deficient structural components. Given the upper bound for the number of deficient members, we consider uncertainty in the locations of deficient members, i.e., the set of deficient members is not specified in advance. Then we attempt to find the worst scenario of deficiency, in which the limit load factor attains the minimum value. We formulate this combinatorial optimization problem as a mixed integer linear programming problem and solve it by using an algorithm with guaranteed global convergence. The deficient structural components in the worst scenario are regarded as key elements which cause the largest degradation of structural performance. Numerical examples illustrate that the set of key elements, as well as the collapse mode in the worst scenario, depends on the number of deficient structural components.
ISSN:0141-0296
1873-7323
DOI:10.1016/j.engstruct.2012.04.012