2004
DOI: 10.1016/j.cma.2004.03.011
|View full text |Cite
|
Sign up to set email alerts
|

A primal–dual algorithm for shakedown analysis of structures

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
5

Citation Types

0
52
0
1

Year Published

2006
2006
2014
2014

Publication Types

Select...
9

Relationship

0
9

Authors

Journals

citations
Cited by 79 publications
(53 citation statements)
references
References 6 publications
0
52
0
1
Order By: Relevance
“…They showed that the application of the duality combining with Newton method may lead to very accurate results in limit analysis. Vu et al [14] then presented a primal-dual algorithm for shakedown analysis of structures with the use of kinematically admissible finite elements. By using Newton-like iteration, it was found that upper and lower bounds of the load factor converge rapidly to the accurate solution of shakedown limit.…”
Section: Introductionmentioning
confidence: 99%
“…They showed that the application of the duality combining with Newton method may lead to very accurate results in limit analysis. Vu et al [14] then presented a primal-dual algorithm for shakedown analysis of structures with the use of kinematically admissible finite elements. By using Newton-like iteration, it was found that upper and lower bounds of the load factor converge rapidly to the accurate solution of shakedown limit.…”
Section: Introductionmentioning
confidence: 99%
“…A very efficient primal-dual algorithm, which can derive lower and upper bound simultaneously of shakedown limit load factor for complicated structures, has been introduced by Vu, Yan and Nguyen Dang [20][21][22] and Vu [23]. In these works, dual relationship between upper bound and lower bound for shakedown analysis of perfectly plastic structures has been proven.…”
Section: Introductionmentioning
confidence: 99%
“…Many direct methods for modelling cyclic plasticity behaviour of the material have been developed in the past decades [5,6,7,8,9,10]. These direct methods use simple material models,…”
Section: Introductionmentioning
confidence: 99%