Search Results - "Hong, Fangqi"

Bounds optimization of model response moments: a twin-engine Bayesian active learning method by Wei, Pengfei, Hong, Fangqi, Phoon, Kok-Kwang, Beer, Michael

“…The efficient propagation of imprecise probabilities through expensive simulators has emerged to be one of the great challenges for mixed uncertainty…”
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Efficient variational Bayesian model updating by Bayesian active learning by Hong, Fangqi, Wei, Pengfei, Bi, Sifeng, Beer, Michael

“…As a main task of inverse problem, model updating has received more and more attention in the area of inspection, sensing, and monitoring technologies during…”
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A sequential sampling-based Bayesian numerical method for reliability-based design optimization by Hong, Fangqi, Wei, Pengfei, Fu, Jiangfeng, Beer, Michael

“…For efficiently solving the Reliability-Based Design Optimization (RBDO) problem with multi-modal, highly nonlinear and expensive-to-evaluate limit state…”
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Parallelization of adaptive Bayesian cubature using multimodal optimization algorithms by Hong, Fangqi, Wei, Pengfei, Beer, Michael

“…PurposeBayesian cubature (BC) has emerged to be one of most competitive approach for estimating the multi-dimensional integral especially when the integrand is…”
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A stratified beta-sphere sampling method combined with important sampling and active learning for rare event analysis by Hong, Fangqi, Song, Jingwen, Wei, Pengfei, Huang, Ziteng, Beer, Michael

“…Accurate and efficient estimation of small failure probability subjected to high-dimensional and multiple failure domains is still a challenging task in…”
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A new acquisition function combined with subset simulation for active learning of small and time-dependent failure probability by Hong, Fangqi, Wei, Pengfei, Fu, Jiangfeng, Xu, Yuannan, Gao, Weikai

“…The time-dependent reliability analysis aims at estimating the probability of failure, occurring within a specified time period, of a structure subjected to…”
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Collaborative and Adaptive Bayesian Optimization for bounding variances and probabilities under hybrid uncertainties by Hong, Fangqi, Wei, Pengfei, Song, Jingwen, Valdebenito, Marcos A., Faes, Matthias G.R., Beer, Michael

“…Uncertainty quantification (UQ) has been widely recognized as of vital importance for reliability-oriented analysis and design of engineering structures, and…”
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Combining Bayesian active learning and conditional Gaussian process simulation for propagating mixed uncertainties through expensive computer simulators by Fu, Jiangfeng, Hong, Fangqi, Wei, Pengfei, Guo, Zongyi, Xu, Yuannan, Gao, Weikai

“…Resulted from the limited information on both parameters and excitation at the early design stage of aerospace structures, evaluating the reliability with high…”
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Combining data and physical models for probabilistic analysis: A Bayesian Augmented Space Learning perspective by Hong, Fangqi, Wei, Pengfei, Song, Jingwen, Faes, Matthias G.R., Valdebenito, Marcos A., Beer, Michael

“…The traditional methods for probabilistic analysis of physical systems often follow a non-intrusive scheme with, random samples for stochastic model parameters…”
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锌粉含量对汽车制动摩擦材料摩擦学性能的影响 by 杨阳, 梁陆新, 吴宏, 刘伯威, 瞿辉, 方琪洪

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