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    Predicting Remaining Driving Time and Distance of a Planetary Rover Under Uncertainty 

    Source: ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part B: Mechanical Engineering:;2016:;volume( 002 ):;issue: 004:;page 41001
    Author(s): Daigle, Matthew; Sankararaman, Shankar
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: The operations of a planetary rover depend critically upon the amount of power that can be delivered by its batteries. In order to plan the future operation, it is important to make reliable predictions regarding the ...
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    Stochastic Multidisciplinary Analysis Under Epistemic Uncertainty 

    Source: Journal of Mechanical Design:;2015:;volume( 137 ):;issue: 002:;page 21404
    Author(s): Liang, Chen; Mahadevan, Sankaran; Sankararaman, Shankar
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: This paper presents a probabilistic framework to include the effects of both aleatory and epistemic uncertainty sources in coupled multidisciplinary analysis (MDA). A likelihoodbased decoupling approach has been previously ...
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    Comparison of Various Surrogate Models to Predict Stress Intensity Factor of a Crack Propagating in Offshore Piping 

    Source: Journal of Offshore Mechanics and Arctic Engineering:;2017:;volume( 139 ):;issue: 006:;page 61401
    Author(s): Keprate, Arvind; Chandima Ratnayake, R. M.; Sankararaman, Shankar
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: This paper examines the applicability of the different surrogate-models (SMs) to predict the stress intensity factor (SIF) of a crack propagating in topside piping, as an inexpensive alternative to the finite element methods ...
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    Experimental Validation of the Adaptive Gaussian Process Regression Model Used for Prediction of Stress Intensity Factor as an Alternative to Finite Element Method 

    Source: Journal of Offshore Mechanics and Arctic Engineering:;2019:;volume( 141 ):;issue: 002:;page 21606
    Author(s): Keprate, Arvind; Chandima Ratnayake, R. M.; Sankararaman, Shankar
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: Currently, in the oil and gas industry, finite element method (FEM)-based commercial software (such as ANSYS and abaqus) is commonly employed for determining the stress intensity factor (SIF). In their earlier work, the ...
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