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Keywords: Gaussian processes
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Journal Articles
Publisher: ASME
Article Type: Research Papers
J. Mech. Des. January 2023, 145(1): 011705.
Paper No: MD-22-1319
Published Online: November 17, 2022
... by constructing a multifidelity random process based on latent map Gaussian processes (LMGPs). In particular, we use LMGPs to calibrate the damage parameters of an ROM as a function of microstructure and clustering (i.e., fidelity) level such that the ROM faithfully surrogates DNS. We demonstrate the application...
Journal Articles
Publisher: ASME
Article Type: Research Papers
J. Mech. Des. September 2022, 144(9): 091703.
Paper No: MD-21-1733
Published Online: June 13, 2022
... while also estimating calibration parameters. To address this gap, we introduce a novel approach that, using latent-map Gaussian processes (LMGPs), converts data fusion into a latent space learning problem where the relations among different data sources are automatically learned. This conversion endows...
Journal Articles
Publisher: ASME
Article Type: Research Papers
J. Mech. Des. September 2022, 144(9): 091705.
Paper No: MD-21-1780
Published Online: June 13, 2022
....2020.103024 [44] Deisenroth , M. P. , 2010 , Efficient Reinforcement Learning Using Gaussian Processes , Vol. 9 , KIT Scientific Publishing , Karlsruhe, Germany . [45] Arulkumaran , K. , Deisenroth , M. P. , Brundage , M. , and Bharath , A. A. , 2017 , “ A Brief Survey...
Journal Articles
Publisher: ASME
Article Type: Research Papers
J. Mech. Des. November 2021, 143(11): 111703.
Paper No: MD-20-1834
Published Online: May 28, 2021
...Robert Planas; Nick Oune; Ramin Bostanabad Emulation plays an important role in engineering design. However, most emulators such as Gaussian processes (GPs) are exclusively developed for interpolation/regression and their performance significantly deteriorates in extrapolation. To address...
Journal Articles
Journal Articles
Journal Articles
Publisher: ASME
Article Type: Research-Article
J. Mech. Des. October 2019, 141(10): 101404.
Paper No: MD-18-1592
Published Online: July 10, 2019
.... 26 07 2018 28 05 2019 29 05 2019 optimal experimental design Kullback–Leibler divergence uncertainty quantification information gain mutual information Gaussian processes Bayesian inference Engineering problems require either computationally intensive computer codes...
Journal Articles
Publisher: ASME
Article Type: Research-Article
J. Mech. Des. February 2013, 135(2): 021003.
Paper No: MD-12-1046
Published Online: January 7, 2013
.... Close correspondence between the model errors and their respective error estimates is noted. Further, by modeling the uncertainty in model errors by an independent Gaussian process, the nonstationary GP allows for systematic modeling of the various sources of uncertainty. where K TT...
Journal Articles
Publisher: ASME
Article Type: Special Section: Methods For Uncertainty Characterizations In Existing Models Through Uncertainly Quantification Or Calibration
J. Mech. Des. October 2012, 134(10): 100908.
Published Online: September 28, 2012
.... 27 08 2011 03 07 2012 21 09 2012 28 09 2012 calibration identifiability model updating uncertainty quantification Kriging Gaussian processes Uncertainty is ubiquitous in engineering design. Although recent years have seen a proliferation of research in design...
Journal Articles
Publisher: ASME
Article Type: Research Papers
J. Mech. Des. March 2011, 133(3): 031005.
Published Online: March 1, 2011
... for random dimension variables with small variances, the motion error becomes a nonstationary Gaussian process. We at first derive analytical equations for upcrossing and downcrossing rates and then develop a numerical procedure that integrates the two rates to obtain the kinematic reliability. A four-bar...
Journal Articles
Publisher: ASME
Article Type: Research Papers
J. Mech. Des. February 2009, 131(2): 021006.
Published Online: January 7, 2009
... random field produced during a casting process on the product damage is studied and a reliability-based design of the control arm is performed. 22 04 2008 04 10 2008 07 01 2009 automotive components CAD/CAM casting concurrent engineering failure analysis Gaussian processes...
Journal Articles
Publisher: ASME
Article Type: Research Papers
J. Mech. Des. November 2008, 130(11): 111401.
Published Online: October 3, 2008
... fusion technique based on the Bayesian–Gaussian process modeling is employed to construct cheap surrogate models to integrate information from both low-fidelity and high-fidelity models, while the interpolation uncertainty of the surrogate model due to the lack of sufficient high-fidelity simulations...
Journal Articles
Publisher: ASME
Article Type: Research Papers
J. Mech. Des. July 2006, 128(4): 668–677.
Published Online: June 7, 2005
... to build a model based on a Gaussian process. The fitted model is then “adjusted” by incorporating a small amount of data from detailed simulations to obtain a more accurate prediction model. The effectiveness of this approach is demonstrated with a design example involving cellular materials...