Sequential most probable point update combining Gaussian process and comprehensive learning PSO for structural reliability-based design optimization

T Van Huynh, S Tangaramvong, B Do, W Gao… - Reliability Engineering & …, 2023 - Elsevier
This paper proposes an efficient reliability-based design optimization (RBDO) method that
advantageously decouples comprehensive learning particle swarm optimization (CLPSO) …

Prediction of the jump height of transmission lines after ice-shedding based on XGBoost and Bayesian optimization

X Long, X Gu, C Lu, Z Li, Y Ma, Z Jian - Cold Regions Science and …, 2023 - Elsevier
The maximum jump height after ice-shedding must be determined to avoid jumps in
transmission lines caused by ice-shedding, which can result in interphase flashovers and …

Multi-fidelity Bayesian Optimization in Engineering Design

B Do, R Zhang - arXiv preprint arXiv:2311.13050, 2023 - arxiv.org
Resided at the intersection of multi-fidelity optimization (MFO) and Bayesian optimization
(BO), MF BO has found a niche in solving expensive engineering design optimization …

Experimental-numerical-virtual (ENV) modelling technique for composite structure against low velocity impacts

Y Feng, Q Wang, Y Yu, T Zhang, D Wu, X Chen… - Engineering …, 2023 - Elsevier
In this paper, an experimental–numerical-virtual (ENV) modelling technique for the FRP
composite laminate structures subjected to low-velocity impact loading is presented. The …

Optimum design of nonlinear semi-rigid steel frame based on performance-price ratio via genetic algorithm

D Liu, Z Wang, J Pan, Y Zheng, Z Hu - Journal of Building Engineering, 2022 - Elsevier
In this study, a two-stage structural optimization method is presented for multistory steel
frames with semi-rigid connections. Based on the traditional optimization result in the first …

Bayesian optimization for inverse identification of cyclic constitutive law of structural steels from cyclic structural tests

B Do, M Ohsaki - Structures, 2022 - Elsevier
Properly modeling the cyclic elastoplastic behavior of structural steels is essential for
establishing accurate analyses of structures subjected to earthquake excitation. However …

[HTML][HTML] Methods for constrained optimization of expensive mixed-integer multi-objective problems, with application to an internal combustion engine design problem

JA Duro, UE Ozturk, DC Oara, S Salomon… - European Journal of …, 2023 - Elsevier
Engineering design optimization problems increasingly require computationally expensive
high-fidelity simulation models to evaluate candidate designs. The evaluation budget may …

A stochastic framework for computationally efficient fail-safe topology optimization

Y Zhang, H Zhang, L Qiu, Z Wang, S Zhang, N Qiu… - Engineering …, 2023 - Elsevier
Fail-safe robustness is an important design philosophy for critical structural systems such as
airframes. The basic idea of fail-safe design is that a structure should be designed to survive …

[PDF][PDF] A numerical application of Bayesian optimization to the condition assessment of bridge hangers

XW Ye, Y Ding, PH Ni - Smart Structures and Systems, 2023 - researchgate.net
Bridge hangers, such as those in suspension and cable-stayed bridges, suffer from
cumulative fatigue damage caused by dynamic loads (eg, cyclic traffic and wind loads) in …

Proximal-exploration multi-objective Bayesian optimization for inverse identification of cyclic constitutive law of structural steels

B Do, M Ohsaki - Structural and Multidisciplinary Optimization, 2022 - Springer
Despite its importance in seismic response analysis, solving an inverse problem to identify
the cyclic elastoplastic parameters for structural steels using conventional optimization …