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Keywords: uncertainty modeling
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Journal Articles
Accepted Manuscript
Article Type: Research Papers
J. Mech. Des.
Paper No: MD-21-1780
Published Online: May 23, 2022
... 2022 04 05 2022 23 05 2022 Email: piyush.pandita@ge.com Email: sayan.ghosh1@ge.com Email: yashenaf@ualberta.ca Data-driven design design of experiments design optimization Machine learning metamodeling uncertainty modeling Journal of Mechanical Design. Received...
Journal Articles
Accepted Manuscript
Article Type: Research Papers
J. Mech. Des.
Paper No: MD-21-1733
Published Online: May 9, 2022
... in the J ournal of M echanical D esign . 01 12 2021 28 04 2022 04 05 2022 09 05 2022 Machine learning metamodeling uncertainty modeling National Aeronautics and Space Administration 10.13039/100000104 80NSSC21K1809 Accepted Manuscript Not Copyedited...
Journal Articles
Accepted Manuscript
Article Type: Research Papers
J. Mech. Des.
Paper No: MD-21-1740
Published Online: May 9, 2022
... for publication in the J ournal of M echanical D esign . 03 12 2021 02 05 2022 04 05 2022 09 05 2022 design for manufacturing simulation-based design uncertainty analysis uncertainty modeling Accepted Manuscript Not Copyedited Journal of Mechanical Design. Received December...
Journal Articles
Article Type: Research Papers
J. Mech. Des. May 2022, 144(5): 051704.
Paper No: MD-21-1500
Published Online: December 6, 2021
... design theory and methodology robust design uncertainty analysis uncertainty modeling Traditional deterministic topology optimization (DTO) aims to achieve the optimal distribution of the predefined usable material in a certain design domain. Schemes including density-based approach [ 1...
Journal Articles
Article Type: Research Papers
J. Mech. Des. February 2022, 144(2): 021712.
Paper No: MD-21-1228
Published Online: December 6, 2021
...-based inverse design paradigm to other inverse design problems or broader inverse problems. artificial intelligence data-driven design design optimization generative design machine learning uncertainty modeling Advanced Research Projects Agency 10.13039/100009224 DE-AR0001216...
Includes: Supplementary data
Journal Articles
Article Type: Research Papers
J. Mech. Des. May 2022, 144(5): 051701.
Paper No: MD-21-1123
Published Online: December 6, 2021
.... That is, the uncertainty modeled in SK is purely epistemic and is reducible. In our case, the simulation noise is assumed to be an irreducible source of uncertainty. Researchers have investigated and shown the presence of high levels of simulation noise in crashworthiness problems involving FE impact simulations...
Journal Articles
Article Type: Research Papers
J. Mech. Des. April 2022, 144(4): 041703.
Paper No: MD-21-1077
Published Online: November 11, 2021
... mission mobility reliability off-road autonomous ground vehicle outcrossing rate reliability-based mission planning rapidly exploring random tree uncertain environment mobile robots reliability in design simulation-based design uncertainty analysis uncertainty modeling Automotive...
Journal Articles
Article Type: Research Papers
J. Mech. Des. March 2022, 144(3): 031701.
Paper No: MD-21-1185
Published Online: September 28, 2021
... uncertainty modeling methods considering cognitive limitations and insufficiency of data have attracted extensive research attention. Relevant theories, such as possibility theory [ 16 ], fuzzy theory [ 17 , 18 ], evidence theory [ 19 , 20 ], and probability box (p-box) [ 21 ], have been developed...
Journal Articles
Article Type: Research Papers
J. Mech. Des. February 2022, 144(2): 021705.
Paper No: MD-21-1236
Published Online: September 21, 2021
... theory and methodology energy systems design machine learning multidisciplinary design and optimization systems design uncertainty analysis uncertainty modeling Email: c.caputo19@imperial.ac.uk Engineering and Physical Sciences Research Council 10.13039/501100000266 EP/R513052/1...
Journal Articles
Article Type: Research Papers
J. Mech. Des. November 2021, 143(11): 111701.
Paper No: MD-20-1500
Published Online: May 4, 2021
... [ 3 ], where the aforementioned “models” connect component models from multiple domains of processing, microstructure, and properties, also known as p-s-p, the modeling chain. approximation-based optimal design multidisciplinary design and optimization simulation-based design uncertainty...
Journal Articles
Article Type: Research Papers
J. Mech. Des. July 2021, 143(7): 072001.
Paper No: MD-20-1735
Published Online: March 18, 2021
... design for manufacturing design representation uncertainty modeling A decade ago, the need for disruptive change in the manufacturing sector emerged, driven by the need to meet customers’ individual requirements quickly and cost-effectively [ 1 ]. This event triggered the Industry 4.0...
Journal Articles
Article Type: Research Papers
J. Mech. Des. April 2021, 143(4): 041704.
Paper No: MD-20-1555
Published Online: January 29, 2021
... group moment generating function robotic systems uncertainty analysis uncertainty modeling By applying the BCH formula successively until Z is completely expanded, Eq. (A12) is approximated as (54) d e e ∧ ≈ ∑ i = 2 4 m ( [ A d ( g i , 4 m...
Journal Articles
Article Type: Research Papers
J. Mech. Des. June 2021, 143(6): 061705.
Paper No: MD-20-1288
Published Online: December 17, 2020
... D esign . 11 05 2020 18 08 2020 22 08 2020 17 12 2020 reliability in design simulation-based design uncertainty modeling Time-dependent reliability analysis of vibratory systems subjected to stochastic excitations is important in several engineering fields...
Journal Articles
Article Type: Research Papers
J. Mech. Des. December 2020, 142(12): 121704.
Paper No: MD-20-1137
Published Online: October 16, 2020
.... Contributed by the Design Automation Committee of ASME for publication in the J ournal of A pplied M echanics . 03 03 2020 07 08 2020 22 08 2020 16 10 2020 design optimization multiobjective optimization robust design uncertainty modeling Engineering designers use...
Journal Articles
Article Type: Research Papers
J. Mech. Des. March 2021, 143(3): 031701.
Paper No: MD-20-1154
Published Online: October 9, 2020
... learning metamodeling reliability in design uncertainty analysis uncertainty modeling 10 03 2020 23 06 2020 22 08 2020 09 10 2020 This work is in part a work of the U.S. Government. ASME disclaims all interest in the U.S. Government’s contributions. Contributed...
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. November 2020, 142(11): 111703.
Paper No: MD-19-1857
Published Online: May 22, 2020
... allocation problem multi-state system design evidential networks belief function theory evidential Pareto dominance multi-objective optimization reliability in design systems design uncertainty modeling Reliability is an important design characteristic of advanced engineering systems. Many...
Journal Articles
Article Type: Research Papers
J. Mech. Des. August 2020, 142(8): 081706.
Paper No: MD-19-1660
Published Online: March 4, 2020
... in the J ournal of M echanical D esign . 03 09 2019 11 12 2019 19 12 2019 21 01 2020 kinematic reliability parallel manipulator motion group error propagation clipped Gaussian reliability in design robotic systems uncertainty analysis uncertainty modeling...
Journal Articles
Article Type: Research Papers
J. Mech. Des. June 2020, 142(6): 061704.
Paper No: MD-19-1222
Published Online: March 3, 2020
... reliability in design simulation-based design uncertainty modeling The solution of differential Eq. (3) includes two parts: a transient solution which depends on the initial conditions, and a steady-state part which depends on the external loading F ( t ) . If damping is present...
Journal Articles
Article Type: Research Papers
J. Mech. Des. March 2020, 142(3): 031108.
Paper No: MD-19-1410
Published Online: December 23, 2019
... to determine the optimal sample size ( n *) which minimizes the expected regret. Email: nandan@iitm.ac.in decision theory design of experiments design optimization design theory and methodology machine learning uncertainty modeling Experimentation is an important tool for gaining...