Sequential most probable point update combining Gaussian process and comprehensive learning PSO for structural reliability-based design optimization
This paper proposes an efficient reliability-based design optimization (RBDO) method that
advantageously decouples comprehensive learning particle swarm optimization (CLPSO) …
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 …
transmission lines caused by ice-shedding, which can result in interphase flashovers and …
Multi-fidelity Bayesian Optimization in Engineering Design
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 …
(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
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 …
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 …
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
Properly modeling the cyclic elastoplastic behavior of structural steels is essential for
establishing accurate analyses of structures subjected to earthquake excitation. However …
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
Engineering design optimization problems increasingly require computationally expensive
high-fidelity simulation models to evaluate candidate designs. The evaluation budget may …
high-fidelity simulation models to evaluate candidate designs. The evaluation budget may …
A stochastic framework for computationally efficient fail-safe topology optimization
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 …
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 …
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
Despite its importance in seismic response analysis, solving an inverse problem to identify
the cyclic elastoplastic parameters for structural steels using conventional optimization …
the cyclic elastoplastic parameters for structural steels using conventional optimization …