ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part B: Mechanical Engineering: Recent submissions
Now showing items 21-40 of 406
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A Novel Active Learning Kriging-Based Reliability Analysis Method for Aero-Engine Gear
(The American Society of Mechanical Engineers (ASME), 2025)This paper proposes the active learning Kriging (ALK)-based reliability method for high-cycle fatigue reliability analysis of aero-engine gears. Uncertainties to affect the reliability of aero-engine gears are quantified ... -
Uncertainty Quantification of Additively Manufactured Architected Cellular Materials for Energy Absorption Applications
(The American Society of Mechanical Engineers (ASME), 2024)With advances in additive manufacturing (AM), the technology has significantly increased the applications in a wide range of industrial sectors. For example, stereolithography (SLA) has become a promising candidate for the ... -
On the Consistent Classification and Treatment of Uncertainties in Structural Health Monitoring Applications
(The American Society of Mechanical Engineers (ASME), 2024)In this paper, we provide a comprehensive definition and classification of various sources of uncertainty within the fields of structural dynamics, system identification, and structural health monitoring (SHM), with a ... -
Data-Informed Risk Analysis of Power Grids: Application of Method for Managing Heterogeneous Datasets
(The American Society of Mechanical Engineers (ASME), 2024)Power utilities are continuously under high pressure to ensure the best performance of their grid. Nevertheless, power outages continue to be periodically observed. This paper assesses the applicability and implications ... -
Daily Engine Performance Trending Using Common Flight Regime Identification
(The American Society of Mechanical Engineers (ASME), 2024)Accurate flight regime identification is critical for enhancing aircraft efficiency and safety. Traditionally, predictive models for aircraft operation have relied on complex, black-box machine learning techniques that ... -
Data Augmentation Based on Image Translation for Bayesian Inference-Based Damage Diagnostics of Miter Gates
(The American Society of Mechanical Engineers (ASME), 2024)Structural health monitoring (SHM) data is the essential foundation for any SHM structural integrity assessment, including large civil infrastructure such as the miter gate application in this work. For some applications, ... -
Statistical Approaches for the Reduction of Measurement Errors in Metrology
(The American Society of Mechanical Engineers (ASME), 2024)Metrology is extensively used in the manufacturing industry to determine whether the dimensions of parts are within their tolerance interval. However, measurement errors cannot be avoided. Metrology experts are of course ... -
Optimizing Battery Maintenance and Reliability in Ground Control Station for Tethered High-Altitude Platforms
(The American Society of Mechanical Engineers (ASME), 2025)This paper presents an integrated system for ensuring uninterrupted power supply to tethered high-altitude platform systems (HAPS) by strategically managing the repair and replenishment of batteries in a k-out-of-n:G, COLD ... -
Uncertainty Quantification in the Prediction of Remaining Useful Life Considering Multiple Failure Modes
(The American Society of Mechanical Engineers (ASME), 2024)Despite the substantive literature on remaining useful life (RUL) prediction, less attention is paid to the influence of epistemic uncertainty and aleatory uncertainty in multiple failure behaviors in the accuracy of RUL. ... -
A Data Driven Black Box Approach for the Inverse Quantification of Set-Theoretical Uncertainty
(The American Society of Mechanical Engineers (ASME), 2024)Inverse uncertainty quantification commonly uses the well established Bayesian framework. Recently, alternative interval methodologies have been introduced. However, in their current state of the art implementation, both ... -
Random Dynamic Responses of Two Parallel Interfacial Cracks Between a Functionally Graded Material Strip and Two Dissimilar Elastic Strips
(The American Society of Mechanical Engineers (ASME), 2024)An analytical approach is presented in this article for the random dynamic study of two parallel interfacial cracks in a functionally graded material (FGM) strip that is bonded between two distinct elastic strips. One of ... -
Stochastic Modeling of Crack Growth and Maintenance Optimization for Metallic Components Subjected to Fatigue-Induced Failure
(The American Society of Mechanical Engineers (ASME), 2024)The degradation of metallic systems under cyclic loading is subject to significant uncertainty, which affects the reliability of residual lifetime predictions and subsequent decisions on optimum maintenance schedules. This ... -
Bayesian Model Updating of Multiscale Simulations Informing Corrosion Prognostics Using Conditional Invertible Neural Networks
(The American Society of Mechanical Engineers (ASME), 2024)Physics-based multiscale corrosion simulation plays a vital role in predicting the evolution of pitting corrosion on large civil infrastructure, contributing to a model-informed structural health monitoring strategy for ... -
Hybrid Quantum Neural Network and Shapely Additive Explanations in Railway Track Geometry Modeling
(The American Society of Mechanical Engineers (ASME), 2025)This research investigates the application of explainable quantum machine learning (QML) for predictive maintenance in the railroad industry. By utilizing ground-penetrating radar (GPR) data to characterize subsurface track ... -
Impact of Sources of Damping on the Fragility Estimates of Wind Turbine Towers
(The American Society of Mechanical Engineers (ASME), 2024)Fragility estimates in wind turbine towers have been investigated but the effect of damping on fragility has not been studied. While damping can often be small, it can come from different sources for a wind turbine. This ... -
A Mode Sensitivity Enhancement Method for Beam Bridge Using High-Density Strain Feedback
(The American Society of Mechanical Engineers (ASME), 2024)Closed-loop damage diagnosis method has attracted some attention in recent years; however, for lack of sufficient measuring points, it is difficult to achieve robust control of large structures cause the output dimension ... -
Complementing Drawability Assessment of Deep-Drawn Components With Surrogate-Based Global Sensitivity Analysis
(The American Society of Mechanical Engineers (ASME), 2024)In the early-stage development of sheet metal parts, key design properties of new structures must be specified. As these decisions are made under significant uncertainty regarding drawing configuration changes, they sometimes ... -
LSTM Neural Networks Using the SMOTE Algorithm for Wind Turbine Fault Prediction
(The American Society of Mechanical Engineers (ASME), 2024)This work proposes a method using a long short-term memory neural network as a diagnostic tool to detect wind turbine rotor mass imbalance. The method uses the synthetic minority oversampling technique for data augmentation ... -
Filter Approximations for Random Vibroacoustics of Rigid Porous Media
(The American Society of Mechanical Engineers (ASME), 2024)An approximate efficient stochastic dynamics technique is developed for determining response statistics of linear systems with frequency-dependent parameters, which are used for modeling wave propagation through rigid ... -
Deep Learning-Based Multifidelity Surrogate Modeling for High-Dimensional Reliability Prediction
(The American Society of Mechanical Engineers (ASME), 2024)Multifidelity surrogate modeling offers a cost-effective approach to reducing extensive evaluations of expensive physics-based simulations for reliability prediction. However, considering spatial uncertainties in multifidelity ...