A data-driven modelling and optimization framework for variable-thickness integrally stiffened shells
The integrally stiffened shells possess the advantages of high specific strength, high specific
rigidity and excellent sealing performance, which have been widely used in the load …
rigidity and excellent sealing performance, which have been widely used in the load …
Understanding the effect of hyperparameter optimization on machine learning models for structure design problems
To relieve the computational cost of design evaluations using expensive finite element (FE)
simulations, surrogate models have been widely applied in computer-aided engineering …
simulations, surrogate models have been widely applied in computer-aided engineering …
An adaptive hybrid surrogate model for FEA of telescopic boom of rock drilling jumbo
Y Lv, L Lin, H Guo, C Tong, Y Liu, S Zhang… - … Applications of Artificial …, 2024 - Elsevier
The rapid collaborative optimization (CO) has an increasing demand for high-fidelity
surrogate models. However, the traditional surrogate model cannot be applied to all working …
surrogate models. However, the traditional surrogate model cannot be applied to all working …
Research on the hull form optimization using the surrogate models
S Zhang, T Tezdogan, B Zhang, L Lin - Engineering Applications of …, 2021 - Taylor & Francis
The ship hull form optimization using the Computational Fluid Dynamics (CFD) method is
increasingly employed in the early design of a ship, as an optimal ship hull form can obtain …
increasingly employed in the early design of a ship, as an optimal ship hull form can obtain …
Finite element simulation and failure analysis of fixed bollard system according to the PAS 68: 2013 standard
Fixed bollards are very significant elements in providing urban roadside safety. These
structures, called passive systems, allow pedestrians and disabled people to use sidewalks …
structures, called passive systems, allow pedestrians and disabled people to use sidewalks …
Reliability-based design optimization of offshore wind turbine support structures using RBF surrogate model
C Yu, X Lv, D Huang, D Jiang - Frontiers of Structural and Civil …, 2023 - Springer
An efficient reliability-based design optimization method for the support structures of
monopile offshore wind turbines is proposed herein. First, parametric finite element analysis …
monopile offshore wind turbines is proposed herein. First, parametric finite element analysis …
An ensemble of adaptive surrogate models based on local error expectations
H Xu, X Zhang, H Li, G Xiang - Mathematical Problems in …, 2021 - Wiley Online Library
An ensemble of surrogate models with high robustness and accuracy can effectively avoid
the difficult choice of surrogate model. However, most of the existing ensembles of surrogate …
the difficult choice of surrogate model. However, most of the existing ensembles of surrogate …
Artificial neural network metamodeling-based design optimization of a continuous motorcyclists protection barrier system
Longitudinal barriers are considered as passive safety systems designed to shield hazards
located at roadsides against motor vehicle impacts. Since these barriers are manmade …
located at roadsides against motor vehicle impacts. Since these barriers are manmade …
Minimization of Accident Severity Index in concrete barrier designs using an ensemble of radial basis function metamodel-based optimization
Along with the advantages provided by the material and ease of assembly/disassembly, the
ease of repair provided by minimum deformation after a collision and its sustainability …
ease of repair provided by minimum deformation after a collision and its sustainability …
Artificial neural network-based sequential approximate optimization of metal sheet architecture and forming process
SS Han, HK Kim - Journal of Computational Design and …, 2024 - academic.oup.com
This paper introduces a sequential approximate optimization method that combines the finite
element method (FEM), dynamic differential evolution (DDE), and artificial neural network …
element method (FEM), dynamic differential evolution (DDE), and artificial neural network …