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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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    Online Diagnostics of Mechanical and Electrical Faults in Induction Motor Using Multiclass Support Vector Machine Algorithms Based on Frequency Domain Vibration and Current Signals 

    Source: ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part B: Mechanical Engineering:;2019:;volume( 005 ):;issue:003:;page 31001
    Author(s): Gangsar, Purushottam; Tiwari, Rajiv
    Publisher: American Society of Mechanical Engineers (ASME)
    Abstract: This paper demonstrates the development of a flexible fault diagnosis methodology that can detect up to ten different faults in the induction motor (IM), simultaneously. The major IM electrical faults, such as the broken ...
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    Drillstring Failure—Identification, Modeling, and Experimental Characterization 

    Source: ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part B: Mechanical Engineering:;2019:;volume( 005 ):;issue:002:;page 21004
    Author(s): Abdo, Jamil; Hassan, Edris M.; Boulbrachene, Khaled; Kwak, Jan C. T.
    Publisher: American Society of Mechanical Engineers (ASME)
    Abstract: Drilling is one of the costliest and risky activities in oil and gas industry due to complexity of interactions with downhole formation. Under such conditions, the uncertainty of drillstring behavior increases, and hence, ...
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    Development of Probabilistic Risk Assessment Methodology Against Volcanic Eruption for Sodium-Cooled Fast Reactors 

    Source: ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part B: Mechanical Engineering:;2018:;volume( 004 ):;issue:003:;page 30902
    Author(s): Yamano, Hidemasa; Nishino, Hiroyuki; Kurisaka, Kenichi; Yamamoto, Takahiro
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: The objective of this paper is to develop a probabilistic risk assessment (PRA) methodology against volcanic eruption for decay heat removal function of sodium-cooled fast reactors (SFRs). In the volcanic PRA methodology ...
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    Simulation of Electric Current Induced Drowning Accident Scenarios for Boating Safety 

    Source: ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part B: Mechanical Engineering:;2016:;volume( 002 ):;issue: 003:;page 31003
    Author(s): Koko, Tamunoiyala S.; Ayyub, Bilal M.; Gallant, Keith
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: In the companion paper (Ayyub et al., 2016, “Risk Assessment Methodology for ElectricCurrent Induced Drowning Accidents,â€‌ ASCEASME J. Risk Uncertainty Eng. Syst. Part B Mech. Eng., 3(3), pp. XXXXXX.), the authors ...
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    Structural Life Expectancy of Marine Vessels: Ultimate Strength, Corrosion, Fatigue, Fracture, and Systems 

    Source: ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part B: Mechanical Engineering:;2015:;volume( 001 ):;issue: 001:;page 11001
    Author(s): Ayyub, Bilal M.; Stambaugh, Karl A.; McAllister, Timothy A.; de Souza, Gilberto F.; Webb, David
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: This paper provides a methodology for the structural reliability analysis of marine vessels based on failure modes of their hull girders, stiffened panels including buckling, fatigue, and fracture and corresponding life ...
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    Bayesian Annealed Sequential Importance Sampling: An Unbiased Version of Transitional Markov Chain Monte Carlo 

    Source: ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part B: Mechanical Engineering:;2018:;volume( 004 ):;issue:001:;page 11008
    Author(s): Wu, Stephen; Angelikopoulos, Panagiotis; Papadimitriou, Costas; Koumoutsakos, Petros
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: The transitional Markov chain Monte Carlo (TMCMC) is one of the efficient algorithms for performing Markov chain Monte Carlo (MCMC) in the context of Bayesian uncertainty quantification in parallel computing architectures. ...
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    Low-Speed Go-Kart Crash Tests and a Comparison to Activities of Daily Living 

    Source: ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part B: Mechanical Engineering:;2018:;volume( 004 ):;issue:004:;page 41010
    Author(s): Kloppenborg, Nick; Amenson, Tara; Wernik, Jacob; Wiechel, John
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: Go-karts are a common amusement park feature enjoyed by people of all ages. While intended for racing, contact between go-karts does occur. To investigate and quantify the accelerations and forces which result from contact, ...
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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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    Analytical Solution Strategy for Building Energy Dynamics With Stochastic Thermal Gains and External Temperature 

    Source: ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part B: Mechanical Engineering:;2017:;volume( 003 ):;issue: 004:;page 41005
    Author(s): Zhang, Zili; Basu, Biswajit; Nielsen, Søren R. K.
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: Energy dynamics in buildings are inherently stochastic in nature due to random fluctuations from various factors such as heat gain (including the solar) and ambient temperature. This paper proposes a theoretical framework ...
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    A Random Field Approach to Reliability Analysis With Random and Interval Variables 

    Source: ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part B: Mechanical Engineering:;2015:;volume( 001 ):;issue: 004:;page 41005
    Author(s): Hu, Zhen; Du, Xiaoping
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: Interval variables are commonly encountered in design, especially in the early design stages when data are limited. Thus, reliability analysis (RA) should deal with both interval and random variables and then predict the ...
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