Computational aspects of inverse analyses for determining softening curves of concrete

Inverse analyses of laboratory experiments for determining strain softening curves of cementitious materials are an important tool of applied fracture mechanics and provide the basis for computational simulations of failure processes in civil structures. In these analyses, experimental results are a...

Full description

Saved in:
Bibliographic Details
Published in:Computer methods in applied mechanics and engineering Vol. 195; no. 52; pp. 7223 - 7236
Main Authors: Slowik, Volker, Villmann, Beate, Bretschneider, Nick, Villmann, Thomas
Format: Journal Article Conference Proceeding
Language:English
Published: Amsterdam Elsevier B.V 01.11.2006
Elsevier
Subjects:
Computational techniques
Concrete
Evolutionary algorithm
Exact sciences and technology
Fracture mechanics (crack, fatigue, damage...)
Fundamental areas of phenomenology (including applications)
Inverse analysis
Mathematical methods in physics
Physics
Solid mechanics
Strain softening
Structural and continuum mechanics
Inverse analysis
Concrete
Strain softening
Evolutionary algorithm
Attraction
Inelasticity
Genetic algorithm
Cement
Rupture
Experimental study
Modeling
Inverse problem
ISSN:0045-7825, 1879-2138
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:Inverse analyses of laboratory experiments for determining strain softening curves of cementitious materials are an important tool of applied fracture mechanics and provide the basis for computational simulations of failure processes in civil structures. In these analyses, experimental results are approximated by repeated numerical simulations of the tests. A new optimisation method for this fitting process is proposed. It is based on an evolutionary algorithm including local neighbourhood attraction for convergence improvement. Several aspects of applicability and performance of the method as well as the objectivity of the results are discussed and applications are presented.
Bibliography:ObjectType-Article-2
SourceType-Scholarly Journals-1
ObjectType-Feature-1
content type line 23
ISSN:0045-7825
1879-2138
DOI:10.1016/j.cma.2005.04.021