TY  - JOUR
AU  - Akter, Niklas
AU  - Islam, Sabbir
AU  - Wu, Kwame
TI  - Modelling Nonlinear Finite Element Analysis with Genetic Algorithms
JO  - Open Access Journal of Engineering Applications
PY  - 2025
VL  - 49
IS  - 2
SP  - 257
EP  - 278
AB  - Accurate prediction of nonlinear finite element analysis is essential for the design, operation, and maintenance of high-rise buildings. A hybrid scheme couples genetic algorithms with physics-based constraints to improve interpretability. The optimized system recovered its investment within 2 years under typical usage. Operators stand to benefit from earlier fault detection and reduced unplanned downtime.
KW  - nonlinear finite element analysis
KW  - genetic algorithms
KW  - finite element analysis
KW  - large language models
SN  - 3105-7004
DO  - 10.55555/oajea.2025.4902.015
UR  - https://journal.bsaps.com/article/10231
ER  -