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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 ...
Now showing items 71-80 of 349
System Based Safety Tenets Applied to the Extra High Voltage Transmission Line Design for Common Uses of Highway Right of Way
Publisher: The American Society of Mechanical Engineers (ASME)
Abstract: The rapidly increasing demand for electricity in recent years resulted in increasing needs of electrical system capacity and deployment for alternate uses of highway rightofway (ROW) for the purpose of electric power ...
Understanding the Impact of Subjective Uncertainty on Architecture and Supplier Identification in Early Complex Systems Design
Publisher: The American Society of Mechanical Engineers (ASME)
Abstract: The Architecture and Supplier Identification Tool (ASIT) is a design support tool, which enables identification of the most suitable architectures and suppliers in early stages of complex systems design, with consideration ...
Risk Assessment in Bridge Construction Projects Using Fault Tree and Event Tree Analysis Methods Based on Fuzzy Logic
Publisher: The American Society of Mechanical Engineers (ASME)
Abstract: In this paper, interruption risk in construction activities of bridge projects is assessed in order to identify the main causes of its occurrence and also to determine the potential outcomes resulted from the risk occurrence. ...
Simulation of Electric Current Induced Drowning Accident Scenarios for Boating Safety
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,†ASCEASME J. Risk Uncertainty Eng. Syst. Part B Mech. Eng., 3(3), pp. XXXXXX.), the authors ...
On Social Value of Risk Information in Risk Communication
Publisher: The American Society of Mechanical Engineers (ASME)
Abstract: The conventional research of risk communication centers on how scientific community can improve trust and credibility in public perception, enhance public understanding of risks, and change public behaviors to conform to ...
A Dynamics Based Hazard Analysis of Inverted Pendulum Human Transporters Using Data Mined Information
Publisher: The American Society of Mechanical Engineers (ASME)
Abstract: When a product is a complex dynamic system that interacts directly with a human, engineers must consider a wide range of possible motions and forces that the device could exert on the human. Such an analysis goes beyond a ...
Risk Assessment Methodology for Electric Current Induced Drowning Accidents
Publisher: The American Society of Mechanical Engineers (ASME)
Abstract: This paper presents a methodology to identify hazards associated with electricinduced drowning and electric shocks for swimmers around docks, houseboats, and other boats in both freshwater and saltwater; assesses scenarios ...
Uncertainty Quantification of Time Dependent Reliability Analysis in the Presence of Parametric Uncertainty
Publisher: The American Society of Mechanical Engineers (ASME)
Abstract: Limited data of stochastic load processes and system random variables result in uncertainty in the results of timedependent reliability analysis. An uncertainty quantification (UQ) framework is developed in this paper for ...
Predictive Abnormal Events Analysis Using Continuous Bayesian Network
Publisher: The American Society of Mechanical Engineers (ASME)
Abstract: The reliable prediction and diagnosis of abnormal events provide much needed guidance for risk management. The traditional Bayesian network (traditional BN) has been used to dynamically predict and diagnose abnormal events. ...
Model Form Calibration in Drift Diffusion Simulation Using Fractional Derivatives
Publisher: The American Society of Mechanical Engineers (ASME)
Abstract: In modeling and simulation, modelform uncertainty arises from the lack of knowledge and simplification during the modeling process and numerical treatment for ease of computation. Traditional uncertainty quantification ...