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Keywords: Metamodeling
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Journal Articles
Article Type: Research Papers
J. Mech. Des. June 2022, 144(6): 061701.
Paper No: MD-21-1378
Published Online: January 17, 2022
...] Chen , L. , Qiu , H. , Jiang , C. , Xiao , M. , and Gao , L. , 2018 , “ Support Vector Enhanced Kriging for Metamodeling With Noisy Data ,” Struct. Multidiscipl. Optim. , 57 ( 4 ), pp. 1611 – 1623 . 10.1007/s00158-017-1831-0 [17] Smola , A. J. , and Schölkopf , B...
Topics: Noise (Sound)
Journal Articles
Accepted Manuscript
Article Type: Research Papers
J. Mech. Des.
Paper No: MD-21-1569
Published Online: January 13, 2022
... 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...
Topics: Metamodeling
Journal Articles
Article Type: Research Papers
J. Mech. Des. May 2022, 144(5): 051701.
Paper No: MD-21-1123
Published Online: December 6, 2021
... . 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. Optim. , 51 ( 2 ), pp. 533 – 546 . 10.1007/s00158-014-1150-7 [8...
Journal Articles
Article Type: Research Papers
J. Mech. Des. February 2022, 144(2): 021710.
Paper No: MD-21-1200
Published Online: November 25, 2021
... 15 10 2021 19 10 2021 25 11 2021 artificial intelligence data-driven design metamodeling simulation-based design systems design Defense Advanced Research Projects Agency 10.13039/100000185 HR00112090069 Mission engineering and design (ME&D...
Journal Articles
Article Type: Research Papers
J. Mech. Des. March 2022, 144(3): 031705.
Paper No: MD-20-1934
Published Online: October 21, 2021
... [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 , G. , Li , M. , Azarm , S. , Al Hashimi , S. , Al...
Journal Articles
Article Type: Research Papers
J. Mech. Des. March 2022, 144(3): 031702.
Paper No: MD-21-1198
Published Online: October 1, 2021
Journal Articles
Article Type: Research Papers
J. Mech. Des. February 2022, 144(2): 021704.
Paper No: MD-21-1177
Published Online: September 21, 2021
...-based surrogate model. graph neural network geometric deep learning transfer learning surrogate model metamodel structural design approximation-based optimal design conceptual design design methodology design of experiments design representation expert systems machine learning...
Journal Articles
Article Type: Research Papers
J. Mech. Des. January 2022, 144(1): 011703.
Paper No: MD-20-1759
Published Online: August 11, 2021
Journal Articles
Article Type: Research Papers
J. Mech. Des. December 2021, 143(12): 121702.
Paper No: MD-21-1034
Published Online: June 9, 2021
... sequential sampling multi-fidelity model Voronoi region density of samples design of experiments metamodeling The application of surrogate models on replacing computationally expensive simulation functions in engineering design optimization-based processes has received much attention...
Journal Articles
Article Type: Research Papers
J. Mech. Des. November 2021, 143(11): 111704.
Paper No: MD-20-1858
Published Online: May 28, 2021
...George H. Cheng; G. Gary Wang; Yeong-Maw Hwang Multi-objective optimization (MOO) problems with computationally expensive constraints are commonly seen in real-world engineering design. However, metamodel-based design optimization (MBDO) approaches for MOO are often not suitable for high...
Journal Articles
Article Type: Research Papers
J. Mech. Des. March 2021, 143(3): 031716.
Paper No: MD-20-1404
Published Online: February 8, 2021
... metamodeling stress, strain in design Bayesian optimization design space discontinuity design classification problem In the early design phase, it is very important for the designers to be able to identify the feasible regions in a large design space, while the design cost is low. This knowledge...
Includes: Supplementary data
Journal Articles
Article Type: Research Papers
J. Mech. Des. March 2021, 143(3): 031711.
Paper No: MD-20-1396
Published Online: January 27, 2021
... design automation design optimization metamodeling Parametric optimization, also known as multi-parametric programming, is the process of solving an optimization problem as a function of one or more variables, termed parameters, over a given range [ 1 – 7 ]. In this context, parameters...
Journal Articles
Article Type: Research Papers
J. Mech. Des. April 2021, 143(4): 041703.
Paper No: MD-20-1165
Published Online: October 12, 2020
... property of MPS-DCP is theoretically analyzed. The performance of MPS-DCP is tested on several numerical benchmarks and compared with state-of-the-art metamodel-based design optimization methods for HEB problems. The results indicate that MPS-DCP generally outperforms the competitive methods regarding...
Journal Articles
Article Type: Research Papers
J. Mech. Des. March 2021, 143(3): 031701.
Paper No: MD-20-1154
Published Online: October 9, 2020
Journal Articles
Article Type: Research Papers
J. Mech. Des. February 2021, 143(2): 021705.
Paper No: MD-19-1886
Published Online: September 17, 2020
... 2020 13 05 2020 17 09 2020 multi-fidelity surrogate canonical correlation analysis correlation scaling factor cost ratio design of experiments metamodeling Design optimization of complicated engineering problems, which relies on lots of high-fidelity (HF) simulations...
Journal Articles
Article Type: Research Papers
J. Mech. Des. February 2021, 143(2): 021701.
Paper No: MD-20-1012
Published Online: August 18, 2020
...-temporal prediction metamodeling uncertainty analysis uncertainty modeling Optimizing design and/or operation of dynamical systems generally requires accurate prediction of their behavior (or response). Predicting the behavior of such spatio-temporal systems is important due to the need...
Journal Articles
Article Type: Research Papers
J. Mech. Des. January 2021, 143(1): 011706.
Paper No: MD-19-1928
Published Online: August 11, 2020
.... , Abdelaziz , O. , Azarm , S. , and Radermacher , R. , 2013 , “ Cross-validation Based Single Response Adaptive Design of Experiments for Kriging Metamodeling of Deterministic Computer Simulations ,” Struct. Multidiscip. Optim. , 48 ( 3 ), pp. 581 – 605 . 10.1007/s00158-013-0918-5 [2...
Journal Articles
Article Type: Research Papers
J. Mech. Des. November 2020, 142(11): 111701.
Paper No: MD-19-1417
Published Online: May 21, 2020
...Yifan Tang; Teng Long; Renhe Shi; Yufei Wu; G. Gary Wang To further reduce the computational expense of metamodel-based design optimization (MBDO), a novel sequential radial basis function (RBF)-based optimization method using virtual sample generation (SRBF-VSG) is proposed. Different from...
Journal Articles
Article Type: Research Papers
J. Mech. Des. October 2020, 142(10): 101702.
Paper No: MD-18-1919
Published Online: May 12, 2020
... Contributed by the Design Automation Committee of ASME for publication in the J ournal of M echanical D esign . 23 12 2018 11 02 2020 15 02 2020 12 05 2020 metamodeling uncertainty analysis With the increasing complexity of engineering systems, the cost of system...
Journal Articles
Article Type: Research Papers
J. Mech. Des. September 2020, 142(9): 091703.
Paper No: MD-19-1459
Published Online: March 30, 2020
...Leshi Shu; Ping Jiang; Xinyu Shao; Yan Wang Bayesian optimization is a metamodel-based global optimization approach that can balance between exploration and exploitation. It has been widely used to solve single-objective optimization problems. In engineering design, making trade-offs between...