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    An Efficient Uncertainty Propagation Analysis Method for Problems Involving Non-Parameterized Probability-Boxes 

    Source: Journal of Mechanical Design:;2021:;volume( 143 ):;issue: 010:;page 0101704-1
    Author(s): Li, J. W.; Jiang, C.; Ni, B. Y.
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: As a kind of imprecise probabilistic model, probability-box (P-box) model can deal with both aleatory and epistemic uncertainties in parameters effectively. The P-box can generally be categorized into two classes, namely, ...
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    Numerical and Experimental Study of Bubble Impact on a Solid Wall 

    Source: Journal of Fluids Engineering:;2015:;volume( 137 ):;issue: 003:;page 31206
    Author(s): Ni, B. Y.; Zhang, A. M.; Wu, G. X.
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: The dynamic characteristics of a bubble initially very close to a rigid wall, or with a very narrow gap, are different from those of a bubble away from the wall. Especially at the contraction stage, a highspeed jet pointing ...
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    A Vine Copula Based Reliability Analysis Method for Structures With Multidimensional Correlation 

    Source: Journal of Mechanical Design:;2015:;volume( 137 ):;issue: 006:;page 61405
    Author(s): Jiang, C.; Zhang, W.; Han, X.; Ni, B. Y.; Song, L. J.
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: This paper proposed a vinecopulabased structural reliability analysis method which is an effective approach for performing a reliability analysis on complex multidimensional correlation problems. A joint probability ...
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    Comparison of Uncertainty Analyses for Crankshaft Applications 

    Source: ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part B: Mechanical Engineering:;2015:;volume( 001 ):;issue: 004:;page 41002
    Author(s): Elishakoff, I.; Fu, C. M.; Jiang, C.; Ni, B. Y.; Han, X.; Chen, G. S.
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: In this paper, four convex models (interval, parallelepiped, ellipsoidal, and superellipsoidal analyses) are introduced to describe the available data on uncertainty parameters for the engine’s crankshaft. The paper first ...
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