... National Laboratories 10.13039/100006234 LDRD approximation-based optimal design design of experiments metamodeling space-filling design 02 04 2022 30 01 2023 02 02 2023 15 03 2023 Contributed by the Design Automation Committee of ASME for publication in the J...

... author. Email: rmalak@tamu.edu Contributed by the Design Automation Committee of ASME for publication in the J ournal of M echanical D esign . 15 06 2022 20 01 2023 23 01 2023 17 02 2023 design optimization metamodeling multi-objective optimization Bayesian...

... in the J ournal of M echanical D esign . 03 07 2022 14 10 2022 29 10 2022 24 11 2022 ensemble remaining useful life lithium-ion batteries rolling element bearings machine learning metamodeling Accurately predicting the remaining useful life (RUL) of equipment...

... reasonable request. References [1] Oune , N. , and Bostanabad , R. , 2021 , “ Latent Map Gaussian Processes for Mixed Variable Metamodeling ,” Comput. Methods Appl. Mech. Eng. , 387 , p. 114128 . 10.1016/j.cma.2021.114128 [2] Eweis-Labolle , J. T. , Oune , N...

...@umd.edu Contributed by the Design Automation Committee of ASME for publication in the J ournal of M echanical D esign . 15 06 2022 09 09 2022 16 09 2022 03 11 2022 robust optimization surrogate modeling bi-objective design optimization metamodeling multi...

... mapping design methodology metamodeling reliability in design uncertainty analysis National Research Foundation of Korea 10.13039/501100003725 2021K2A9A2A06044278 FY2021 Over the past decades, reliability-based design optimization (RBDO) has been widely used for engineering...

... that takes advantages of both empirical and FE models. The validity and accuracy of the metamodel developed in the earlier framework depend on the initial assumption of parameter uncertainties. This causes a problem when the assumed uncertainties are far from the actual values. The proposed framework...

... 2022 robust design optimization multi-fidelity surrogate sequential sampling metamodeling National Natural Science Foundation of China 10.13039/501100001809 51805179 52105254 52175231 Uncertainty is inevitable for the design and optimization of engineering products...

... 07 2022 machine learning metamodeling reliability in design uncertainty analysis National Natural Science Foundation of China 10.13039/501100001809 51875525 51905475 52111540267 Natural Science Foundation of Zhejiang Province 10.13039/501100004731 LY21E050008...

... in the J ournal of M echanical D esign . 01 12 2021 28 04 2022 04 05 2022 13 06 2022 Gaussian processes data fusion calibration emulation manifold learning machine learning metamodeling uncertainty modeling National Aeronautics and Space Administration...

... 2022 13 06 2022 sequential optimal experimental design deep reinforcement learning uncertainty quantification Gaussian processes data-driven design design of experiments design optimization machine learning metamodeling uncertainty modeling Design of experiments (DOE) [ 1...

... 2022 the ensemble of surrogate models model selection screening index cross-validation metamodeling Ministry of Science and Technology of the People's Republic of China 10.13039/501100002855 2018YFB1700704 National Natural Science Foundation of China 10.13039/501100001809...

... to approximate high-dimensional problems in engineering design. However, the available one-metamodel-based HDMRs usually encounter the predicament of prediction uncertainty, while current multi-metamodels-based HDMRs cannot provide simple explicit expressions for black-box problems, and have high computational...

... 06 2021 06 11 2021 10 11 2021 17 01 2022 data fusion surrogate model multiple data types noisy data regression approximate interpolation metamodeling Recent developments in data analysis and approximation methods have aroused great interest in surrogate models...

... Occupants ,” Traffic Injury Prevention , 15 ( 6 ), pp. 556 – 563 . 10.1080/15389588.2013.842232 [7] Gu , X. , Lu , J. , and Wang , H. , 2015 , “ Reliability-Based Design Optimization for Vehicle Occupant Protection System Based on Ensemble of Metamodels ,” Struct. Multidiscipl...

... intelligence data-driven design metamodeling simulation-based design systems design 09 04 2021 15 10 2021 19 10 2021 25 11 2021 Contributed by the Design Automation Committee of ASME for publication in the J ournal of M echanical D esign . The views, opinions...

.... Comput. , 14 ( 3 ), pp. 456 – 474 . 10.1109/TEVC.2009.2033671 [8] Li , M. , Li , G. , and Azarm , S. , 2008 , “ A Kriging Metamodel Assisted Multi-Objective Genetic Algorithm for Design Optimization ,” J. Mech. Des. , 130 ( 3 ), p. 031401 . 10.1115/1.2829879 [9] Li...

...@ugent.be Contributed by the Design Automation Committee of ASME for publication in the J ournal of M echanical D esign . 07 04 2021 26 07 2021 28 07 2021 01 10 2021 design optimization metamodeling multi-objective optimization uncertainty analysis...

... metamodel structural design approximation-based optimal design conceptual design design methodology design of experiments design representation expert systems machine learning metamodeling simulation-based design structural optimization Surrogate models, also known as metamodels, response...

... metamodeling stress in design References [1] Feng , J. , Shen , W. Z. , and Li , Y. , 2018 , “ An Optimization Framework for Wind Farm Design in Complex Terrain ,” Appl. Sci. , 8 ( 11 ), p. 2053 . 10.3390/app8112053 [2] Huo , J. , and Liu , L. , 2018...