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    ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part B: Mechanical Engineering

    EISSN: 2332-9025
    ISSN: 2332-9017
    Priority: 4
    Publisher: American Society of Mechanical Engineers
    Description: The ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part B: Mechanical Engineering disseminates research findings, best practices and concerns, and discussion and debate on risk and uncertainty related issues. The journal reports on More ...

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    Forensic Examination and Failure Analysis of a 220-MVA Step-Up Transformer Fire 

    Source: ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part B: Mechanical Engineering:;2016:;volume( 002 ):;issue: 004:;page 41003
    Author(s): Ibrahim, Zuhair; Stepan, Jeremiah; Reza, Ali; Slee, Daren
    Publisher: The American Society of Mechanical Engineers (ASME)
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    Stochastic Bifurcations of a Nonlinear Acousto-Elastic System 

    Source: ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part B: Mechanical Engineering:;2018:;volume( 004 ):;issue:001:;page 11007
    Author(s): Dheelibun Remigius, W.; Sarkar, Sunetra
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: The nonlinear stochastic behavior of a nonconservative acousto-elastic system is in focus in the present work. The deterministic acousto-elastic system consists of a spinning disk in a compressible fluid filled enclosure. ...
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    Propagation of Input Uncertainty in Presence of Model-Form Uncertainty: A Multifidelity Approach for Computational Fluid Dynamics Applications 

    Source: ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part B: Mechanical Engineering:;2018:;volume( 004 ):;issue:001:;page 11002
    Author(s): Wang, Jian-Xun; Roy, Christopher J.; Xiao, Heng
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: Proper quantification and propagation of uncertainties in computational simulations are of critical importance. This issue is especially challenging for computational fluid dynamics (CFD) applications. A particular obstacle ...
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    Resilience Quantification for Probabilistic Design of Cyber-Physical System Networks 

    Source: ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part B: Mechanical Engineering:;2018:;volume( 004 ):;issue:003:;page 31006
    Author(s): Wang, Yan
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: Cyber-physical systems (CPS) are the physical systems of which individual components have functional identities in both physical and cyber spaces. Given the vastly diversified CPS components in dynamically evolving networks, ...
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    Special Issue on Uncertainty Quantification in Multiscale System Design and Simulation 

    Source: ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part B: Mechanical Engineering:;2018:;volume( 004 ):;issue:001:;page 10301
    Author(s): Wang, Yan; Swiler, Laura
    Publisher: The American Society of Mechanical Engineers (ASME)
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    An Efficient First-Principles Saddle Point Searching Method Based on Distributed Kriging Metamodels 

    Source: ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part B: Mechanical Engineering:;2018:;volume( 004 ):;issue:001:;page 11006
    Author(s): Tran, Anh; He, Lijuan; Wang, Yan
    Publisher: The American Society of Mechanical Engineers (ASME)
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    Optimal Experimental Design Using a Consistent Bayesian Approach 

    Source: ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part B: Mechanical Engineering:;2018:;volume( 004 ):;issue:001:;page 11005
    Author(s): Walsh, Scott N.; Wildey, Tim M.; Jakeman, John D.
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: We consider the utilization of a computational model to guide the optimal acquisition of experimental data to inform the stochastic description of model input parameters. Our formulation is based on the recently developed ...
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    Reliability Modeling for Gear Door Lock System With Dependent Failures Based on Copula 

    Source: ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part B: Mechanical Engineering:;2018:;volume( 004 ):;issue:004:;page 41003
    Author(s): Shen, Linjie; Zhang, Yugang; Zhuang, Xinchen; Guo, Bozhi
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: The gear door lock system (GDLS) is a hydraulic and mechatronic system with high degree of complexity and uncertainty, making the performance assessment of the system especially intractable. We develop copula models to ...
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    Wrench Uncertainty Quantification and Reconfiguration Analysis in Loosely Interconnected Cooperative Systems 

    Source: ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part B: Mechanical Engineering:;2018:;volume( 004 ):;issue:002:;page 21002
    Author(s): Sovizi, Javad; Rai, Rahul; Krovi, Venkat
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: Loosely interconnected cooperative systems such as cable robots are particularly susceptible to uncertainty. Such uncertainty is exacerbated by addition of the base mobility to realize reconfigurability within the system. ...
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    Comparative Analysis on Traumatic Brain Injury Risk Due to Primary and Secondary Impacts in a Pedestrian Sideswipe Accident 

    Source: ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part B: Mechanical Engineering:;2018:;volume( 004 ):;issue:004:;page 41004
    Author(s): Tamura, Atsutaka; Hasegawa, Junji; Koide, Takao
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: A series of pedestrian sideswipe impacts were computationally reconstructed; a fast-walking pedestrian was collided laterally with the side of a moving vehicle at 25 km/h or 40 km/h, which resulted in rotating the pedestrian's ...
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