Detail publikace

Structural analysis and reliability assessment, SARA Part I

Originální název

Structural analysis and reliability assessment, SARA Part I

Anglický název

Structural analysis and reliability assessment, SARA Part I

Jazyk

en

Originální abstrakt

The paper describes a complex methodology for statistical and reliability analyses of concrete bridges. It describes the cirtual simulation used on the way from assessment of experimental results to reliability analysis. The approach is based on randomization of fracture mechanics finite element analysis of cocncrete structure. Theoretical as well as practical application aspects are presented emphasizing the conceptual framework and key points of solution. Efficient techniques of both nonlinear numerical analysis of concrete structures and stochastic simulation methods of Monte Carlo type have been combined in order to offer an advanced tool for assessment of realistic behaviour of concrete structures from statistical and reliability point of views In order to use appropriate parameters of material laws in computational model andúor damage assessment an inverse analysis based on dynamic experiment has to be performed. The applications of the approach are described in consequent papers of SHMII - 3 2007 conference - Parts II-IV. This session introductory paper informs on development and achievements of a large long-term project SARA.

Anglický abstrakt

The paper describes a complex methodology for statistical and reliability analyses of concrete bridges. It describes the cirtual simulation used on the way from assessment of experimental results to reliability analysis. The approach is based on randomization of fracture mechanics finite element analysis of cocncrete structure. Theoretical as well as practical application aspects are presented emphasizing the conceptual framework and key points of solution. Efficient techniques of both nonlinear numerical analysis of concrete structures and stochastic simulation methods of Monte Carlo type have been combined in order to offer an advanced tool for assessment of realistic behaviour of concrete structures from statistical and reliability point of views In order to use appropriate parameters of material laws in computational model andúor damage assessment an inverse analysis based on dynamic experiment has to be performed. The applications of the approach are described in consequent papers of SHMII - 3 2007 conference - Parts II-IV. This session introductory paper informs on development and achievements of a large long-term project SARA.

BibTex


@inproceedings{BUT28457,
  author="Drahomír {Novák} and Konrad {Bergmeister} and Alfred {Strauss} and Radomír {Pukl}",
  title="Structural analysis and reliability assessment, SARA Part I",
  annote="The paper describes a complex methodology for statistical and reliability analyses of concrete bridges. It describes the cirtual simulation used on the way from assessment of experimental results to reliability analysis. The approach is based on randomization of fracture mechanics finite element analysis of cocncrete structure. Theoretical as well as practical application aspects are presented emphasizing the conceptual framework and key points of solution. Efficient techniques of both nonlinear numerical analysis of concrete structures and stochastic simulation methods of Monte Carlo type have been combined in order to offer an advanced tool for assessment of realistic behaviour of concrete structures from statistical and reliability point of views In order to use appropriate parameters of material laws in computational model andúor damage assessment an inverse analysis based on dynamic experiment has to be performed. The applications of the approach are described in consequent papers of SHMII - 3 2007 conference - Parts II-IV. This session introductory paper informs on development and achievements of a large long-term project SARA.",
  booktitle="Structural health monitoring and intelligent infrastructure",
  chapter="28457",
  year="2007",
  month="november",
  pages="188",
  type="conference paper"
}