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Journal Articles

Special Section on Reliability Modeling and Assessment of Complex Engineering Systems with Mixed Uncertainty

Free
Lechang Yang, Matthias Faes, Yi Zhang, Xiaoge Zhang, Min Xie
Journal: ASCE-ASME J Risk and Uncert in Engrg Sys Part B Mech Engrg
Publisher: ASME
Article Type: Guest Editorial
ASME J. Risk Uncertainty Part B. June 2025, 11(2): 020301.
Paper No: RISK-25-1033
https://doi.org/10.1115/1.4068420
Published Online: May 2, 2025
View Articletitled, Special Section on Reliability Modeling and Assessment of Complex Engineering Systems with Mixed Uncertainty
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Topics: Engineering systems and industry applications, Modeling, Reliability, Uncertainty
Journal Articles

Probabilistic Deep Learning With Bayesian Networks for Predicting Complex Engineering Systems' Remaining Useful Life: A Case Study of Unmanned Surface Vessel

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Matthew J. Weiner, Ruochen Yang, Katrina Groth, Shapour Azarm
Journal: ASCE-ASME J Risk and Uncert in Engrg Sys Part B Mech Engrg
Publisher: ASME
Article Type: Research-Article
ASME J. Risk Uncertainty Part B. December 2025, 11(4): 041203.
Paper No: RISK-24-1109
https://doi.org/10.1115/1.4068316
Published Online: April 28, 2025
View Articletitled, Probabilistic Deep Learning With Bayesian Networks for Predicting Complex Engineering Systems' Remaining Useful Life: A Case Study of Unmanned Surface Vessel
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Topics: Bayesian network, Condition monitoring, Deep learning, Engineering systems and industry applications, Failure, Sensors, Service life (Equipment), Simulation, Uncertainty, Unmanned surface vehicles
Journal Articles

Integrated Human Reliability Analysis Methodology for External Control Room Emergency Response Scenarios: Application to Modeling FLEX Human Actions in Nuclear Power Plants

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Accepted Manuscript
Mohammad Albati, Ha Bui, Seyed Reihani, Vaibhav Yadav, Diego Mandelli, Zahra Mohaghegh
Journal: ASCE-ASME J Risk and Uncert in Engrg Sys Part B Mech Engrg
Publisher: ASME
Article Type: Research-Article
ASME J. Risk Uncertainty Part B.
Paper No: RISK-24-1065
https://doi.org/10.1115/1.4068539
Published Online: April 26, 2025
View Articletitled, Integrated Human Reliability Analysis Methodology for External Control Room Emergency Response Scenarios: Application to Modeling FLEX Human Actions in Nuclear Power Plants
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Topics: Control rooms, Emergency response, Human reliability analysis, Modeling, Nuclear power stations, Risk, Simulation, Spatiotemporal phenomena, Uncertainty, Floods
Journal Articles

Uncertainty Quantification in Fault and Degradation Analysis of Rolling Element Bearings

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Accepted Manuscript
David O. Ajayi, Stephen Ekwaro-Osire, Olympio Belli, Nazir Laureano Gandur, Camilo Alberto Lopez-Salazar
Journal: ASCE-ASME J Risk and Uncert in Engrg Sys Part B Mech Engrg
Publisher: ASME
Article Type: Research-Article
ASME J. Risk Uncertainty Part B.
Paper No: RISK-25-1003
https://doi.org/10.1115/1.4068540
Published Online: April 26, 2025
View Articletitled, Uncertainty Quantification in Fault and Degradation Analysis of Rolling Element Bearings
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Topics: Risk, Rolling bearings, Uncertainty quantification, Uncertainty, Entropy, Fault diagnosis, Ball bearings, Bearings, Density, Emission spectroscopy
Journal Articles

Mixed Uncertainty Analysis in Pressure Systems Inspection Applications

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Conal H. Brown, Scott Ferson
Journal: ASCE-ASME J Risk and Uncert in Engrg Sys Part B Mech Engrg
Publisher: ASME
Article Type: Research-Article
ASME J. Risk Uncertainty Part B. June 2025, 11(2): 021105.
Paper No: RISK-24-1093
https://doi.org/10.1115/1.4068152
Published Online: April 7, 2025
View Articletitled, Mixed Uncertainty Analysis in Pressure Systems Inspection Applications
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Topics: Inspection, Uncertainty, Pressure, Corrosion
Journal Articles

Balancing Interpretability and Uncertainty in Prognostic Models: A TOPSIS-Based Comparative Analysis of N-CMAPSS DS02 Methods

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Declan P. Mallamo, Helene P. Hoang, Michael H. Azarian, Michael G. Pecht
Journal: ASCE-ASME J Risk and Uncert in Engrg Sys Part B Mech Engrg
Publisher: ASME
Article Type: Research-Article
ASME J. Risk Uncertainty Part B. June 2025, 11(2): 021106.
Paper No: RISK-24-1094
https://doi.org/10.1115/1.4068151
Published Online: April 7, 2025
View Articletitled, Balancing Interpretability and Uncertainty in Prognostic Models: A TOPSIS-Based Comparative Analysis of N-CMAPSS DS02 Methods
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Topics: Uncertainty, Uncertainty quantification, Physics, Tradeoffs
Journal Articles

Propagation of Systematic Sensor Uncertainty Into the Frequency Domain

Open Access
Manuel Rexer, Peter F. Pelz, Maximilian M. G. Kuhr
Journal: ASCE-ASME J Risk and Uncert in Engrg Sys Part B Mech Engrg
Publisher: ASME
Article Type: Research-Article
ASME J. Risk Uncertainty Part B. December 2025, 11(4): 041201.
Paper No: RISK-24-1076
https://doi.org/10.1115/1.4067828
Published Online: March 11, 2025
View Articletitled, Propagation of Systematic Sensor Uncertainty Into the Frequency Domain
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Topics: Errors, Uncertainty, Sensors, Signals, Simulation
Journal Articles

Heuristic-Based Recommendation System for Dealing With Abnormal Situations in Industrial Applications

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Márcio J. da Silva, Carlos E. Pereira
Journal: ASCE-ASME J Risk and Uncert in Engrg Sys Part B Mech Engrg
Publisher: ASME
Article Type: Research-Article
ASME J. Risk Uncertainty Part B. June 2025, 11(2): 021104.
Paper No: RISK-24-1089
https://doi.org/10.1115/1.4067827
Published Online: February 28, 2025
View Articletitled, Heuristic-Based Recommendation System for Dealing With Abnormal Situations in Industrial Applications
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Topics: Bayesian network, Data mining, Decision making, Failure, Machinery, Modeling, Ontologies, Probability, Semantics, Trains
Journal Articles

On the Efficacy of Sparse Representation Approaches for Determining Nonlinear Structural System Equations of Motion

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George D. Pasparakis, Vasileios C. Fragkoulis, Ioannis A. Kougioumtzoglou
Journal: ASCE-ASME J Risk and Uncert in Engrg Sys Part B Mech Engrg
Publisher: ASME
Article Type: Research-Article
ASME J. Risk Uncertainty Part B. September 2025, 11(3): 031207.
Paper No: RISK-24-1086
https://doi.org/10.1115/1.4067356
Published Online: January 23, 2025
View Articletitled, On the Efficacy of Sparse Representation Approaches for Determining Nonlinear Structural System Equations of Motion
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Topics: Equations of motion, Optimization, Energy harvesting, Uncertainty, Dynamics (Mechanics)
Journal Articles

On the Consistent Classification and Treatment of Uncertainties in Structural Health Monitoring Applications

Open Access
Antonios Kamariotis, Konstantinos Vlachas, Vasileios Ntertimanis, Ioannis Koune, Alice Cicirello, Eleni Chatzi
Journal: ASCE-ASME J Risk and Uncert in Engrg Sys Part B Mech Engrg
Publisher: ASME
Article Type: Research-Article
ASME J. Risk Uncertainty Part B. March 2025, 11(1): 011108.
Paper No: RISK-24-1066
https://doi.org/10.1115/1.4067140
Published Online: December 9, 2024
View Articletitled, On the Consistent Classification and Treatment of Uncertainties in Structural Health Monitoring Applications
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Topics: Structural health monitoring, Uncertainty, Damage
Journal Articles

Special Section on Uncertainty-Aware Diagnostics and Prognostics for Health Monitoring and Risk Management of Engineered Systems

Free
Chen Jiang, Zhen Hu, Alba Sofi, Liang Gao, Haobo Qiu, Byeng D. Youn
Journal: ASCE-ASME J Risk and Uncert in Engrg Sys Part B Mech Engrg
Publisher: ASME
Article Type: Guest Editorial
ASME J. Risk Uncertainty Part B. March 2025, 11(1): 010301.
Paper No: RISK-24-1101
https://doi.org/10.1115/1.4067253
Published Online: December 9, 2024
View Articletitled, Special Section on Uncertainty-Aware Diagnostics and Prognostics for Health Monitoring and Risk Management of Engineered Systems
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Topics: Risk management, Uncertainty
Journal Articles

Harnessing Bayesian Deep Learning to Tackle Unseen and Uncertain Scenarios in Diagnosis of Machinery Systems

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Zhou Kai, Qianyu Zhou, Jiong Tang
Journal: ASCE-ASME J Risk and Uncert in Engrg Sys Part B Mech Engrg
Publisher: ASME
Article Type: Research-Article
ASME J. Risk Uncertainty Part B. March 2025, 11(1): 011106.
Paper No: RISK-24-1059
https://doi.org/10.1115/1.4067001
Published Online: November 27, 2024
View Articletitled, Harnessing Bayesian Deep Learning to Tackle Unseen and Uncertain Scenarios in Diagnosis of Machinery Systems
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Topics: Convolutional neural networks, Deep learning, Fault diagnosis, Gears, Machinery, Noise (Sound), Testing, Uncertainty, Vibration, Probability
Journal Articles

Uncertainty Quantification of Additively Manufactured Architected Cellular Materials for Energy Absorption Applications

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Zheng Liu, Yanwen Xu, Yuan Jiang, Anabel Renteria, Parth Bansal, Chenlong Xu, Pingfeng Wang, Yumeng Li
Journal: ASCE-ASME J Risk and Uncert in Engrg Sys Part B Mech Engrg
Publisher: ASME
Article Type: Research-Article
ASME J. Risk Uncertainty Part B. September 2025, 11(3): 031204.
Paper No: RISK-24-1031
https://doi.org/10.1115/1.4066933
Published Online: November 22, 2024
View Articletitled, Uncertainty Quantification of Additively Manufactured Architected Cellular Materials for Energy Absorption Applications
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Topics: Absorption, Additive manufacturing, Compression, Design, Simulation, Uncertainty, Uncertainty quantification, Modeling, Manufacturing, Reliability
Journal Articles

A Data Driven Black Box Approach for the Inverse Quantification of Set-Theoretical Uncertainty

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Lars Bogaerts, Matthias G.R. Faes, David Moens
Journal: ASCE-ASME J Risk and Uncert in Engrg Sys Part B Mech Engrg
Publisher: ASME
Article Type: Research-Article
ASME J. Risk Uncertainty Part B. September 2025, 11(3): 031201.
Paper No: RISK-24-1030
https://doi.org/10.1115/1.4066619
Published Online: November 4, 2024
View Articletitled, A Data Driven Black Box Approach for the Inverse Quantification of Set-Theoretical Uncertainty
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Topics: Artificial neural networks, Deep learning, Dimensions, Uncertainty, Welding, Pressure, Finite element model, Uncertainty quantification, Algorithms
Journal Articles

Uncertainty Quantification in the Prediction of Remaining Useful Life Considering Multiple Failure Modes

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Nazir Laureano Gandur, Stephen Ekwaro-Osire
Journal: ASCE-ASME J Risk and Uncert in Engrg Sys Part B Mech Engrg
Publisher: ASME
Article Type: Research-Article
ASME J. Risk Uncertainty Part B. September 2025, 11(3): 031202.
Paper No: RISK-24-1052
https://doi.org/10.1115/1.4066722
Published Online: November 4, 2024
View Articletitled, Uncertainty Quantification in the Prediction of Remaining Useful Life Considering Multiple Failure Modes
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Topics: Batteries, Bearings, Failure, Failure mechanisms, Uncertainty, Service life (Equipment), Uncertainty quantification, Reliability
Journal Articles

Stochastic Modeling of Crack Growth and Maintenance Optimization for Metallic Components Subjected to Fatigue-Induced Failure

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Xukai Zhang, Jasmine Gulati, Arash Noshadravan
Journal: ASCE-ASME J Risk and Uncert in Engrg Sys Part B Mech Engrg
Publisher: ASME
Article Type: Research-Article
ASME J. Risk Uncertainty Part B. June 2025, 11(2): 021202.
Paper No: RISK-23-1090
https://doi.org/10.1115/1.4066080
Published Online: August 29, 2024
View Articletitled, Stochastic Modeling of Crack Growth and Maintenance Optimization for Metallic Components Subjected to Fatigue-Induced Failure
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Topics: Failure, Fatigue, Fracture (Materials), Inspection, Maintenance, Modeling, Optimization, Probability, Uncertainty, Polynomials
Journal Articles

Uncertainty-Aware, Structure-Preserving Machine Learning Approach for Domain Shift Detection From Nonlinear Dynamic Responses of Structural Systems

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David A. Najera-Flores, Justin Jacobs, D. Dane Quinn, Anthony Garland, Michael D. Todd
Journal: ASCE-ASME J Risk and Uncert in Engrg Sys Part B Mech Engrg
Publisher: ASME
Article Type: Research-Article
ASME J. Risk Uncertainty Part B. March 2025, 11(1): 011104.
Paper No: RISK-24-1049
https://doi.org/10.1115/1.4066054
Published Online: August 17, 2024
View Articletitled, Uncertainty-Aware, Structure-Preserving Machine Learning Approach for Domain Shift Detection From Nonlinear Dynamic Responses of Structural Systems
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Topics: Algorithms, Artificial neural networks, Damage, Damping, Digital twin, Dynamic response, Machine learning, Preservation, Structural health monitoring, Testing
Journal Articles

Deep Learning-Based Multifidelity Surrogate Modeling for High-Dimensional Reliability Prediction

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Luojie Shi, Baisong Pan, Weile Chen, Zequn Wang
Journal: ASCE-ASME J Risk and Uncert in Engrg Sys Part B Mech Engrg
Publisher: ASME
Article Type: Research-Article
ASME J. Risk Uncertainty Part B. September 2024, 10(3): 031106.
Paper No: RISK-24-1033
https://doi.org/10.1115/1.4065846
Published Online: July 24, 2024
View Articletitled, Deep Learning-Based Multifidelity Surrogate Modeling for High-Dimensional Reliability Prediction
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Topics: Dimensions, Metamodeling, Reliability, Simulation, Uncertainty
Journal Articles

A Novel Unsupervised Domain Adaptation Transformation Reconstructed Gated Recurrent Unit Framework Considering Prediction Uncertainty for Machinery Prognostics Under Variable Lubrication Conditions

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Xintian Shen, Zi Wang, Peng Ding, Xiaoli Zhao, Minping Jia
Journal: ASCE-ASME J Risk and Uncert in Engrg Sys Part B Mech Engrg
Publisher: ASME
Article Type: Research-Article
ASME J. Risk Uncertainty Part B. March 2025, 11(1): 011101.
Paper No: RISK-23-1097
https://doi.org/10.1115/1.4065753
Published Online: June 29, 2024
View Articletitled, A Novel Unsupervised Domain Adaptation Transformation Reconstructed Gated Recurrent Unit Framework Considering Prediction Uncertainty for Machinery Prognostics Under Variable Lubrication Conditions
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Topics: Bearings, Errors, Lubrication, Machinery, Uncertainty, Signals, Dimensions, Rolling bearings, Ablation (Vaporization technology), Artificial neural networks
Journal Articles

Bayesian Inference Based on Monte Carlo Technique for Multiplier of Performance Shaping Factor

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Satoshi Takeda, Takanori Kitada
Journal: ASCE-ASME J Risk and Uncert in Engrg Sys Part B Mech Engrg
Publisher: ASME
Article Type: Research-Article
ASME J. Risk Uncertainty Part B. December 2024, 10(4): 041203.
Paper No: RISK-24-1026
https://doi.org/10.1115/1.4065531
Published Online: June 20, 2024
View Articletitled, Bayesian Inference Based on Monte Carlo Technique for Multiplier of Performance Shaping Factor
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Topics: Chain, Errors, Failure, Human reliability analysis, Probability, Uncertainty, Performance