A data-driven modelling and optimization framework for variable-thickness integrally stiffened shells

H Li, Z Li, Z Cheng, Z Zhou, G Wang, B Wang… - Aerospace Science and …, 2022 - Elsevier
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 …

Understanding the effect of hyperparameter optimization on machine learning models for structure design problems

X Du, H Xu, F Zhu - Computer-Aided Design, 2021 - Elsevier
To relieve the computational cost of design evaluations using expensive finite element (FE)
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 …

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 …

Finite element simulation and failure analysis of fixed bollard system according to the PAS 68: 2013 standard

MY Apak, M Ergun, H Ozen, M Buyuk… - Engineering Failure …, 2022 - Elsevier
Fixed bollards are very significant elements in providing urban roadside safety. These
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 …

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 …

Artificial neural network metamodeling-based design optimization of a continuous motorcyclists protection barrier system

İ Yılmaz, İ Yelek, S Özcanan, AO Atahan… - Structural and …, 2021 - Springer
Longitudinal barriers are considered as passive safety systems designed to shield hazards
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

S Ozcanan, AO Atahan - optimization and engineering, 2021 - Springer
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 …

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 …