ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part B: Mechanical Engineering: Recent submissions
Now showing items 261-280 of 421
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A Comparison of Control Strategies for Disruption Management in Engineering Design for Resilience
(American Society of Mechanical Engineers (ASME), 2019)Managing potential disruptive events at the operating phase of an engineered system therefore improving the system's failure resilience is an importance yet challenging task in engineering design. The resilience of an ... -
Simulation of Fuel Storage Hazards Associated With Petroleum Refineries Tanks
(American Society of Mechanical Engineers (ASME), 2019)Predicting of hazards associated with the damages of fuel storage tanks in petroleum refineries is critical in maintaining safety of the facilities. This study assesses the hazard of the refinery gasoline tank damage by ... -
Dependent Competing Risks Modeling for Mechanical Systems Under Component and Performance Failure
(American Society of Mechanical Engineers (ASME), 2019)This paper establishes a competing failure analysis model for complex mechanical system under component failure and performance failure considering degradation. Traditionally, mechanical system is composed by a number of ... -
Drillstring Failure—Identification, Modeling, and Experimental Characterization
(American Society of Mechanical Engineers (ASME), 2019)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, ... -
Uncertainty Modeling Using a Dimension Search and a Genetic Algorithm With Application to Robust Stability Analysis
(American Society of Mechanical Engineers (ASME), 2019)This work uses a new method of determining a parameterization, resampling, and dimension search of an uncertainty model that can be used for efficient engineering models in control design. An algorithm using the Cayley–Menger ... -
Uncertain Structural Free Vibration Analysis With Non-Probabilistic Spatially Varying Parameters
(American Society of Mechanical Engineers (ASME), 2019)The uncertain free vibration analysis of engineering structures with the consideration of nonstochastic spatially dependent uncertain parameters is investigated. A recently proposed concept of interval field is implemented ... -
Effect of Volume Element Geometry on Convergence to a Representative Volume
(American Society of Mechanical Engineers (ASME), 2019)To accurately simulate fracture, it is necessary to account for small-scale randomness in the properties of a material. Apparent properties of statistical volume element (SVE) can be characterized below the scale of a ... -
Special Section on Stochastic Multiscale Modeling of Heterogeneous Materials and Structures
(American Society of Mechanical Engineers (ASME), 2019) -
Foundry Data Analytics to Identify Critical Parameters Affecting Quality of Investment Castings
(The American Society of Mechanical Engineers (ASME), 2019)Investment castings are used in industrial sectors including automobile, aerospace, chemical, biomedical, and other critical applications; they are required to be of significant quality (free of defects and possess the ... -
Restraint Systems in Tactical Vehicles: Uncertainty Study Involving Airbags, Seatbelts, and Military Gear
(The American Society of Mechanical Engineers (ASME), 2019)Adding advanced safety features (e.g., airbags) to restraint systems in tactical vehicles could decrease the injury risk of their occupants. The impact of frontal crashes on the occupants has been assessed recently through ... -
Reviewer's Recognition
(The American Society of Mechanical Engineers (ASME), 2019) -
Time-Dependent System Reliability Analysis for Bivariate Responses
(The American Society of Mechanical Engineers (ASME), 2018)Time-dependent system reliability is computed as the probability that the responses of a system do not exceed prescribed failure thresholds over a time duration of interest. In this work, an efficient time-dependent ... -
Bayesian Network Learning for Data-Driven Design
(The American Society of Mechanical Engineers (ASME), 2018)Bayesian networks (BNs) are being studied in recent years for system diagnosis, reliability analysis, and design of complex engineered systems. In several practical applications, BNs need to be learned from available data ... -
Evaluating the Potential for Gasoline Geysering From Small Engine Fuel Tanks
(The American Society of Mechanical Engineers (ASME), 2018)This paper explores an infrequently encountered hazard associated with liquid fuel tanks on gasoline-powered equipment using unvented fuel tanks. Depending on the location of fuel reserve tanks, waste heat from the engine ... -
Door Latch Failure Risk Identification Using Virtual Testing Methods
(The American Society of Mechanical Engineers (ASME), 2018)Vehicle door latch performance testing presently utilizes uniaxial quasi-static loading conditions. Current technology enables sophisticated virtual testing of a broad range of systems. Door latch failures have been observed ... -
A Probabilistic Design Method for Fatigue Life of Metallic Component
(The American Society of Mechanical Engineers (ASME), 2018)In the present study, a general probabilistic design framework is developed for cyclic fatigue life prediction of metallic hardware using methods that address uncertainty in experimental data and computational model. The ... -
Reviewer's Recognition
(The American Society of Mechanical Engineers (ASME), 2018) -
On the Optimal Decomposition of High-Dimensional Solution Spaces of Complex Systems
(The American Society of Mechanical Engineers (ASME), 2018)In the early development phase of complex technical systems, uncertainties caused by unknown design restrictions must be considered. In order to avoid premature design decisions, sets of good designs, i.e., designs which ... -
Dynamic Reliability Evaluation of Nonrepairable Multistate Weighted k-Out-of-n System With Dependent Components Based on Copula
(The American Society of Mechanical Engineers (ASME), 2018)As a common type system, multistate weighted k-out-of-n system is of great importance in reliability engineering. The components are usually treated as independent from each other. It is usually not that case in real life ... -
An Information Fusion Model Based on Dempster–Shafer Evidence Theory for Equipment Diagnosis
(The American Society of Mechanical Engineers (ASME), 2018)An abnormal operating effect can be caused by different faults, and a fault can cause different abnormal effects. An information fusion model, with hybrid-type fusion frame, is built in this paper, so as to solve this ...