Results 271 to 280 of about 24,699,198 (331)

Identifying the release history of a groundwater contaminant source based on an ensemble surrogate model

Journal of Hydrology, 2019
In identifying groundwater contaminant sources, given that the simulation model is computationally inefficient, an ensemble surrogate model is proposed to improve the accuracy and robustness of results. The proposed ensemble surrogate model in this paper
Qiang Fu, Yi Ji, Wenxi Lu
exaly   +2 more sources

Surrogate model uncertainty quantification for reliability-based design optimization

Reliability Engineering and System Safety, 2019
Surrogate models have been widely employed as approximations of expensive physics-based simulations to alleviate the computational burden in reliability-based design optimization.
Zequn Wang
exaly   +2 more sources

Multi-fidelity Co-Kriging surrogate model for ship hull form optimization

Ocean Engineering, 2022
Xinwang Liu, Weiwen Zhao, Decheng Wan
exaly   +2 more sources

A novel learning function for adaptive surrogate-model-based reliability evaluation

Philosophical Transactions of the Royal Society A, 2023
The classical reliability analysis methods, due to the ever-increasing complexity of engineering structure, may lead to higher and higher calculation errors and costs.
S. Yang, Debiao Meng, Hongtao Wang, Chang-Ah Yang   +3 more
semanticscholar   +1 more source

A comparative study for adaptive surrogate-model-based reliability evaluation method of automobile components

International Journal of Structural Integrity, 2023
PurposeThis study conducts a comparative study on the performance of reliability assessment methods based on adaptive surrogate models to accurately assess the reliability of automobile components, which is critical to the safe operation of vehicles ...
S. Yang, Debiao Meng, Hongtao Wang, Zhipeng Chen, Bing Xu   +4 more
semanticscholar   +1 more source

A sequential constraints updating approach for Kriging surrogate model-assisted engineering optimization design problem

Engineering With Computers, 2019
Jiaxiang Yi, Yuansheng Cheng, Qi Zhou
exaly   +2 more sources

Probabilistic safety analysis of coupled train-bridge system using deep learning based surrogate model

Structure and Infrastructure Engineering, 2021
Due to unavoidable uncertainties, it is critical to perform probabilistic analysis when examining the safety of coupled train-bridge system based on the dynamic interaction analysis.
Huile Li, Tianyu Wang, Gang Wu
semanticscholar   +1 more source

Surrogate model enabled deep reinforcement learning for hybrid energy community operation

, 2021
Local peer-to-peer (P2P) transactions in a community are becoming a trend for energy integration and management. The introduction of P2P trading scheme requires comprehensive consideration on various aspects, such as peer privacy, computational ...
Xiaodi Wang, You-bo Liu, Junbo Zhao, Chang Liu, Junyong Liu, Jinyue Yan   +5 more
semanticscholar   +1 more source

An Efficient Spatial-Temporal Convolution Recurrent Neural Network Surrogate Model for History Matching

SPE Journal, 2021
Surrogate modeling has shown to be effective in improving the solving efficiency for history matching in the development of oil and gas, but the traditional surrogate models are difficult to directly deal with the high-dimensional spatial uncertain ...
Xiaopeng Ma, Kai Zhang, Jian Wang, C. Yao, Yongfei Yang, Hai Sun, Jun Yao   +6 more
semanticscholar   +1 more source

A hybrid driven approach to integrate surrogate model and Bayesian framework for the prediction of machining errors of thin-walled parts

, 2021
Thin-walled structural parts are widely used in aerospace industry, the prediction of machining errors of these parts has attracted more and more attention over the past decades.
S. Hao, F. Peng, Lin Zhou, R. Yan, Sheng-lin Zhao   +4 more
semanticscholar   +1 more source