ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part B: Mechanical Engineering: Recent submissions
Now showing items 81-100 of 421
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Fragility Analysis and Resilience Assessment of the Single-Column Pier Steel-Concrete Composite Bridge Subjected to Seismic Loads
(The American Society of Mechanical Engineers (ASME), 2024)With the advantages of a small footprint, wide under-bridge view, and beautiful appearance, single-column pier bridges are widely used in urban bridge networks. However, single-column pier bridges are prone to damage during ... -
Linear Moments-Based Monte Carlo Simulation for Reliability Analysis With Unknown Probability Distributions
(The American Society of Mechanical Engineers (ASME), 2024)Within the realm of structural reliability analysis, the uncertainties tied to resistance and loads are conventionally embodied as random variables possessing established cumulative distribution functions (CDFs). Nevertheless, ... -
Indirect Prediction of Spindle Rotation Error Through Vibration Signal Based on Supervised Local Mean Decomposition Filter Fusion and Bi-LSTM Classification Network
(The American Society of Mechanical Engineers (ASME), 2024)Spindle rotation error directly correlates with the quality of mechanical processing. Currently, the error was mainly converted through measuring the distance information of standard component installed at the tool position, ... -
Human-Comfort Evaluation for a Patient-Transfer Robot Through a Human–Robot Mechanical Model
(The American Society of Mechanical Engineers (ASME), 2023)Patient-transfer robot, which can transfer a bedridden care receiver from a bed to a wheelchair or a pedestal pan and back, was not widely used due to inadequate safety and comfort. A human comfort evaluation function based ... -
Verification and Validation of Rotating Machinery Using Digital Twin
(The American Society of Mechanical Engineers (ASME), 2024)Rotating machinery has extensive usage in industrial applications, either as leading equipment (power plants) or as auxiliary equipment (oil and gas exploitation). These highly complex systems demand expensive maintenance ... -
A Fault Detection Framework Based on Data-Driven Digital Shadows
(The American Society of Mechanical Engineers (ASME), 2024)The popularization of Industry 4.0 and its technological pillars has allowed prognostics and health management (PHM) strategies to be applied in complex systems to optimize their performance and extend their useful life ... -
Quantitative Systems Modeling for Critical Infrastructure Predictions in Climate Change: A National Defense Framework
(The American Society of Mechanical Engineers (ASME), 2023)Any national defense is dependent on the efficacy of the available physical infrastructure. Whatever degrades infrastructure, structurally, physically, architecturally, or esthetically, is of interest to the nation. Climate ... -
Enhancing the Reliability of Series-Parallel Systems With Multiple Redundancies by Using System-Reliability Inequalities
(The American Society of Mechanical Engineers (ASME), 7/19/2023 )The reverse engineering of a valid algebraic inequality often leads to a novel physical reality characterized by a distinct signature: the algebraic inequality itself. This paper uses reverse engineering of valid algebraic ... -
Governing Equation Identification of Nonlinear Single Degree-of-Freedom Oscillators With Coulomb Friction Using Explicit Stick and Slip Temporal Constraints
(The American Society of Mechanical Engineers (ASME), 8/25/2023 )The friction force at joints of engineering structures is usually unknown and not directly identifiable. This contribution explores a procedure for obtaining the governing equation of motion and correctly identifying the ... -
Paradox of Optimal Learning: An Info-Gap Perspective
(The American Society of Mechanical Engineers (ASME), 6/6/2023 1)Engineering design and technological risk assessment both entail learning or discovering new knowledge. Optimal learning is a procedure whereby new knowledge is obtained while minimizing some specific measure of effort ... -
Evaluation of Power Transmission Lines Hardening Scenarios Using a Machine Learning Approach
(The American Society of Mechanical Engineers (ASME), 8/4/2023 1)The power transmission infrastructure is vulnerable to extreme weather events, particularly hurricanes and tropical storms. A recent example is the damage caused by Hurricane Maria (H-Maria) in the archipelago of Puerto ... -
From Reliability-Based Design to Resilience-Based Design
(The American Society of Mechanical Engineers (ASME), 8/4/2023 1)Reliability-based design has been a widely used methodology in the design of engineering structures. For example, the structural design standards in many countries have adopted the load and resistance factor design (LRFD) ... -
Special Section on Community Resilience to Disruptive Events: Models and Analyses, Lessons Learned and Case Studies
(The American Society of Mechanical Engineers (ASME), 7/26/2023 )The resilience of a community depends on the performance of the built environment (e.g., building portfolios and infrastructure systems) as well as the functionality of its constituting social and economic institutions. ... -
Application of Multi Parameter Path Length Method for Resilience (MP-PLMR) to Engineering Systems
(The American Society of Mechanical Engineers (ASME), 10/3/2022 )Multi-parameter-path length method for resilience (MP-PLMR) has been proposed to determine the resilience of system multiparameter considerations. It was applied to two engineering situations: (i) Passive catalytic device ... -
Sequential Ensemble Monte Carlo Sampler for On-Line Bayesian Inference of Time-Varying Parameter in Engineering Applications
(The American Society of Mechanical Engineers (ASME), 2023)Several on-line identification approaches have been proposed to identify parameters and evolution models of engineering systems and structures when sequential datasets are available via Bayesian inference. In this work, a ... -
A Reduced-Order Wiener Path Integral Formalism for Determining the Stochastic Response of Nonlinear Systems With Fractional Derivative Elements
(The American Society of Mechanical Engineers (ASME), 2023)A technique based on the Wiener path integral (WPI) is developed for determining the stochastic response of diverse nonlinear systems with fractional derivative elements. Specifically, a reduced-order WPI formulation is ... -
Robust Design Optimization of Expensive Stochastic Simulators Under Lack-of-Knowledge
(The American Society of Mechanical Engineers (ASME), 2023)Robust design optimization of stochastic black-box functions is a challenging task in engineering practice. Crashworthiness optimization qualifies as such problem especially with regards to the high computational costs. ... -
Probabilistic Validation: Theoretical Foundation and Methodological Platform
(The American Society of Mechanical Engineers (ASME), 2023)Addressing safety concerns in commercial nuclear power plants (NPPs) often requires the use of advanced modeling and simulation (M&S) in association with the probabilistic risk assessment (PRA). Advanced M&S are ... -
Network Uncertainty Quantification for Analysis of Multi-Component Systems
(The American Society of Mechanical Engineers (ASME), 2022)In order to impact physical mechanical system design decisions and realize the full promise of high-fidelity computational tools, simulation results must be integrated at the earliest stages of the design process. This is ... -
Establishment of the Off-Center Embedded Crack Stress Intensity Factor Database for Probabilistic Risk Assessment Based on Universal Weight Function
(The American Society of Mechanical Engineers (ASME), 2022)Probabilistic failure risk analysis is frequently used in the airworthiness area, while efficient stress intensity factor (SIF) solutions are vital in its process. Universal weight function (UWF) is a method that has ...