The inverse identification of the parameter values of nonlinear material models, which have been developed for, inter alia, concrete modelling, is currently a process that is widely used and investigated in the field of research and development. Today there are several approaches that can be employed for the inverse identification process. One of the most significant of these approaches involves the use of optimisation algorithms which, however, often demonstrate varying levels of precision and efficiency within specific tasks. These aspects are the subject of the research presented in this contribution
The development of full-field measurement techniques paved the way for the design of new mechanical ...
The work occupy by inverse analysis based on artificial neural network. This identification algorith...
In der vorliegenden Arbeit werden verschiedene Methoden der Parameteridentifkation anhand von realen...
The aim of this paper is to perform the inverse identification of the material parameters of a nonli...
Issues concerning the advanced numerical analysis of concrete building structures in sophisticated c...
Selecting the correct objective function is the critical precondition for a successful optimization ...
AbstractThis contribution aims to describe the process of the inverse identification of the paramete...
Selecting the correct objective function is the critical precondition for a successful optimization ...
This contribution aims to describe the process of the inverse identification of the parameters of a ...
Esse trabalho pretende contribuir para a interpretação do comportamento de estruturas de concreto a ...
Formulating the complete description of a material behavior includes finding the numerical values of...
Mechanical damages in structures, in structural components of plants and in industrial products usua...
The paper presents an application of the inverse analysis to the identification of two models: a pha...
Constitutive models for masonry require a number of parameters to define material behaviour with suf...
In the context of Inverse Analysis in Civil Engineering, parameter identification and model calibra...
The development of full-field measurement techniques paved the way for the design of new mechanical ...
The work occupy by inverse analysis based on artificial neural network. This identification algorith...
In der vorliegenden Arbeit werden verschiedene Methoden der Parameteridentifkation anhand von realen...
The aim of this paper is to perform the inverse identification of the material parameters of a nonli...
Issues concerning the advanced numerical analysis of concrete building structures in sophisticated c...
Selecting the correct objective function is the critical precondition for a successful optimization ...
AbstractThis contribution aims to describe the process of the inverse identification of the paramete...
Selecting the correct objective function is the critical precondition for a successful optimization ...
This contribution aims to describe the process of the inverse identification of the parameters of a ...
Esse trabalho pretende contribuir para a interpretação do comportamento de estruturas de concreto a ...
Formulating the complete description of a material behavior includes finding the numerical values of...
Mechanical damages in structures, in structural components of plants and in industrial products usua...
The paper presents an application of the inverse analysis to the identification of two models: a pha...
Constitutive models for masonry require a number of parameters to define material behaviour with suf...
In the context of Inverse Analysis in Civil Engineering, parameter identification and model calibra...
The development of full-field measurement techniques paved the way for the design of new mechanical ...
The work occupy by inverse analysis based on artificial neural network. This identification algorith...
In der vorliegenden Arbeit werden verschiedene Methoden der Parameteridentifkation anhand von realen...