Development of refined one-dimensional finite element models using a nodal kinematics optimization method

J. Yarasca; G. Juarez; J. L. Mantari

doi:10.1080/15376494.2022.2048150

Development of refined one-dimensional finite element models using a nodal kinematics optimization method

J. Yarasca, G. Juarez, J. L. Mantari

Research output: Contribution to journal › Article › peer-review

1 Scopus citations

Abstract

This paper presents refined one-dimensional (1D) finite element models develop by an effective nodal kinematics optimization method. The refined models belong to Best Theory Diagrams, which are built by using the Carrera Unified Formulation (CUF), Axiomatic/Asymptotic method and a Genetic Algorithm (GA). The influence of different chromosome types on the refined models and GA performance have been investigated. It is shown that the proposed method can improve the accuracy of regular 1D-CUF finite element models. Furthermore, the results suggest that it is possible to built refined models for compound loads from the ones optimized for individual loads.

Original language	English
Pages (from-to)	1962-1974
Number of pages	13
Journal	Mechanics of Advanced Materials and Structures
Volume	30
Issue number	10
DOIs	https://doi.org/10.1080/15376494.2022.2048150
State	Published - 2023
Externally published	Yes

Keywords

best theory diagrams
CUF
FEM
genetic algorithms
node-dependent kinematics
refined 1d models

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10.1080/15376494.2022.2048150

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title = "Development of refined one-dimensional finite element models using a nodal kinematics optimization method",

abstract = "This paper presents refined one-dimensional (1D) finite element models develop by an effective nodal kinematics optimization method. The refined models belong to Best Theory Diagrams, which are built by using the Carrera Unified Formulation (CUF), Axiomatic/Asymptotic method and a Genetic Algorithm (GA). The influence of different chromosome types on the refined models and GA performance have been investigated. It is shown that the proposed method can improve the accuracy of regular 1D-CUF finite element models. Furthermore, the results suggest that it is possible to built refined models for compound loads from the ones optimized for individual loads.",

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AU - Yarasca, J.

AU - Juarez, G.

AU - Mantari, J. L.

PY - 2023

Y1 - 2023

N2 - This paper presents refined one-dimensional (1D) finite element models develop by an effective nodal kinematics optimization method. The refined models belong to Best Theory Diagrams, which are built by using the Carrera Unified Formulation (CUF), Axiomatic/Asymptotic method and a Genetic Algorithm (GA). The influence of different chromosome types on the refined models and GA performance have been investigated. It is shown that the proposed method can improve the accuracy of regular 1D-CUF finite element models. Furthermore, the results suggest that it is possible to built refined models for compound loads from the ones optimized for individual loads.

AB - This paper presents refined one-dimensional (1D) finite element models develop by an effective nodal kinematics optimization method. The refined models belong to Best Theory Diagrams, which are built by using the Carrera Unified Formulation (CUF), Axiomatic/Asymptotic method and a Genetic Algorithm (GA). The influence of different chromosome types on the refined models and GA performance have been investigated. It is shown that the proposed method can improve the accuracy of regular 1D-CUF finite element models. Furthermore, the results suggest that it is possible to built refined models for compound loads from the ones optimized for individual loads.

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KW - CUF

KW - FEM

KW - genetic algorithms

KW - node-dependent kinematics

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EP - 1974

JO - Mechanics of Advanced Materials and Structures

JF - Mechanics of Advanced Materials and Structures

IS - 10

ER -

Development of refined one-dimensional finite element models using a nodal kinematics optimization method

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Keywords

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