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Keywords: uncertainty quantification
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Journal Articles
Journal Articles
Journal Articles
Publisher: ASME
Article Type: Research Papers
J. Comput. Inf. Sci. Eng. February 2023, 23(1): 011012.
Paper No: JCISE-22-1123
Published Online: November 8, 2022
... artificial intelligence physics-based simulation uncertainty quantification physics-constrained neural network Bayesian neural network dual-dimer method machine learning for engineering applications Neural networks are effective tools to build surrogate models of complex systems to approximate...
Journal Articles
Publisher: ASME
Article Type: Research Papers
J. Comput. Inf. Sci. Eng. February 2023, 23(1): 011006.
Paper No: JCISE-22-1121
Published Online: September 15, 2022
... are aleatory (due to natural variability) and some are epistemic (due to lack of knowledge). Uncertainty quantification (UQ) seeks to quantify the uncertainty in the model prediction arising from multiple, heterogeneous sources. UQ has two directions: the forward problem and the inverse problem...
Journal Articles
Publisher: ASME
Article Type: Research Papers
J. Comput. Inf. Sci. Eng. February 2023, 23(1): 011005.
Paper No: JCISE-22-1032
Published Online: August 5, 2022
... heterogeneity. Fig. 5 Illustration of CVaR Q ¯ α ( λ ( x , ζ ) ) at x = [4.53 × 10 3 , 2.22 × 10 −1 ] Illustration of CVaR Q¯α(λ(x,ζ)) at x = [4.53 × 103, 2.22 × 10−1] CVaR is widely used in uncertainty quantification [ 54 – 56 ], and we adopt this concept to ensure...
Journal Articles
Publisher: ASME
Article Type: Research Papers
J. Comput. Inf. Sci. Eng. June 2022, 22(3): 031001.
Paper No: JCISE-21-1268
Published Online: December 10, 2021
...-driven engineering uncertainty quantification inverse methods for engineering applications machine learning for engineering applications 30 07 2021 04 11 2021 05 11 2021 10 12 2021 Contributed by the Computers and Information Division of ASME for publication in the J...
Includes: Supplementary data
Journal Articles
Publisher: ASME
Article Type: Research Papers
J. Comput. Inf. Sci. Eng. April 2022, 22(2): 021004.
Paper No: JCISE-21-1074
Published Online: October 13, 2021
... uncertainty quantification (UQ) method. In the ETSPM, the subinterval perturbation method (SIPM) is introduced to decompose original FE into several small subintervals. By comparing results yielded by the ETIPM and ETSPM with those by the evidence theory-based Monte Carlo method (ETMCM), numerical examples...