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.

Keywords:

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

Disclosure statement

No potential conflict of interest was reported by the authors.

Additional information

Funding

This paper has been carried out within the project “Desarrollo de un software para predecir el desempeño estructural de producto terminado en el proceso de fabricación por manufactura aditiva de materiales compuestos”, funded by PROCIENCIA, CONCYTEC, under the contract number N${}^{°}$ 112-2018-FONDECYT-BM-IADT-MU. The mentioned institutions are gratefully acknowledged.