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Keywords: uncertainty quantification
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Journal Articles
Publisher: ASME
Article Type: Research-Article
ASME J. Risk Uncertainty Part B. September 2024, 10(3): 031103.
Paper No: RISK-23-1081
Published Online: May 28, 2024
...). However, these surrogate models can introduce predictive errors, introducing epistemic uncertainty. The challenge arises when dealing with image input data, which is inherently high-dimensional, making it challenging to apply existing uncertainty quantification (UQ) techniques effectively. To address...
Journal Articles
Publisher: ASME
Article Type: Research-Article
ASME J. Risk Uncertainty Part B. December 2023, 9(4): 041102.
Paper No: RISK-23-1063
Published Online: September 28, 2023
... growth uncertainty quantification Reusable spacecraft can be regarded as a feasible means to reduce the launch cost [ 1 ]. For a reusable spacecraft, its whole life cycle may suffer from various anomalies. Periodic maintenance and reusability evaluation are conducted to ensure flight reliability...
Journal Articles
Publisher: ASME
Article Type: Research-Article
ASME J. Risk Uncertainty Part B. June 2022, 8(2): 021205.
Paper No: RISK-21-1054
Published Online: January 7, 2022
...-mail:  sankaran.mahadevan@vanderbilt.edu 13 07 2021 05 11 2021 07 01 2022 multiscale modeling model calibration surrogate model uncertainty quantification During the past few decades, the application of carbon fiber reinforced polymer (CFRP) composites has gained momentum...
Journal Articles
Publisher: ASME
Article Type: Review Articles
ASME J. Risk Uncertainty Part B. March 2022, 8(1): 010801.
Paper No: RISK-21-1065
Published Online: January 6, 2022
...Sankaran Mahadevan; Paromita Nath; Zhen Hu This paper reviews the state of the art in applying uncertainty quantification (UQ) methods to additive manufacturing (AM). Physics-based as well as data-driven models are increasingly being developed and refined in order to support process optimization...
Journal Articles
Publisher: ASME
Article Type: Research-Article
ASME J. Risk Uncertainty Part B. March 2022, 8(1): 011110.
Paper No: RISK-21-1042
Published Online: September 24, 2021
... laser powder-bed fusion modeling and simulation uncertainty quantification ontology Additive manufacturing (AM) produces parts by depositing powdered material layer-by-layer without the requirement of using specific tooling based on a three-dimensional (3D) model [ 1 ]. The laser powder-bed...
Journal Articles
Journal Articles
Journal Articles
Publisher: ASME
Article Type: Research-Article
ASME J. Risk Uncertainty Part B. December 2021, 7(4): 040901.
Paper No: RISK-20-1099
Published Online: July 12, 2021
... important input parameters of the model. Third, systematic uncertainty quantification (UQ) scheme was employed to model the uncertainties of model input parameters based on their available—data-driven and physics-informed—information. Finally, the impact of the proposed UQ framework on the OWT structural...
Journal Articles
Publisher: ASME
Article Type: Research-Article
ASME J. Risk Uncertainty Part B. September 2021, 7(3): 031004.
Paper No: RISK-20-1107
Published Online: May 28, 2021
... algorithms for optimization, uncertainty quantification with sampling, reliability, stochastic expansion methods, sensitivity analysis, and parameter study methods. The Latin Hypercube sampling (LHS) method is used for uncertainty quantification in the present work. The open-source toolkit provides flexible...
Journal Articles
Publisher: ASME
Article Type: Research-Article
ASME J. Risk Uncertainty Part B. June 2021, 7(2): 020903.
Paper No: RISK-20-1070
Published Online: April 23, 2021
...Sifeng Bi; Michael Beer; Jingrui Zhang; Lechang Yang; Kui He The Bhattacharyya distance has been developed as a comprehensive uncertainty quantification metric by capturing multiple uncertainty sources from both numerical predictions and experimental measurements. This work pursues a further...