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Issues
September 2025
In Progress
ISSN 2332-9017
EISSN 2332-9025
In this Issue
Editorial
Reviewer's Recognition
ASME J. Risk Uncertainty Part B. September 2025, 11(3): 030201.
doi: https://doi.org/10.1115/1.4067890
Topics:
Risk
Reviewer's Recognition
ASME J. Risk Uncertainty Part B. September 2025, 11(3): 030202.
doi: https://doi.org/10.1115/1.4067891
Topics:
Risk
Research Papers
A Data Driven Black Box Approach for the Inverse Quantification of Set-Theoretical Uncertainty
ASME J. Risk Uncertainty Part B. September 2025, 11(3): 031201.
doi: https://doi.org/10.1115/1.4066619
Uncertainty Quantification in the Prediction of Remaining Useful Life Considering Multiple Failure Modes
ASME J. Risk Uncertainty Part B. September 2025, 11(3): 031202.
doi: https://doi.org/10.1115/1.4066722
Topics:
Batteries
,
Bearings
,
Failure
,
Failure mechanisms
,
Uncertainty
,
Service life (Equipment)
,
Uncertainty quantification
,
Reliability
Multi-State Reliability Modeling and Assessment for Corrosion of Organic Coating-Substrate Structure
ASME J. Risk Uncertainty Part B. September 2025, 11(3): 031203.
doi: https://doi.org/10.1115/1.4066926
Topics:
Coating processes
,
Coatings
,
Corrosion
,
Modeling
,
Reliability
,
Simulation
,
Water
Uncertainty Quantification of Additively Manufactured Architected Cellular Materials for Energy Absorption Applications
Zheng Liu, Yanwen Xu, Yuan Jiang, Anabel Renteria, Parth Bansal, Chenlong Xu, Pingfeng Wang, Yumeng Li
ASME J. Risk Uncertainty Part B. September 2025, 11(3): 031204.
doi: https://doi.org/10.1115/1.4066933
Topics:
Absorption
,
Additive manufacturing
,
Compression
,
Design
,
Simulation
,
Uncertainty
,
Uncertainty quantification
,
Modeling
,
Manufacturing
,
Reliability
The Safety Assessment of Civil Ships Against Capsizing Based on the Probability Analysis of Multiple Threshold-Crossings of Stochastic Sea Waves
ASME J. Risk Uncertainty Part B. September 2025, 11(3): 031205.
doi: https://doi.org/10.1115/1.4066829
Topics:
Probability
,
Safety
,
Ships
,
Waves
,
Ocean waves
,
Buoys
,
Density
Hybrid Quantum Neural Network and Shapely Additive Explanations in Railway Track Geometry Modeling
ASME J. Risk Uncertainty Part B. September 2025, 11(3): 031206.
doi: https://doi.org/10.1115/1.4067533
Topics:
Artificial neural networks
,
Geometry
,
Railroads
,
Surface roughness
,
Machine learning
On the Efficacy of Sparse Representation Approaches for Determining Nonlinear Structural System Equations of Motion
ASME J. Risk Uncertainty Part B. September 2025, 11(3): 031207.
doi: https://doi.org/10.1115/1.4067356
Topics:
Equations of motion
,
Optimization
,
Energy harvesting
,
Uncertainty
,
Dynamics (Mechanics)
A Novel Active Learning Kriging-Based Reliability Analysis Method for Aero-Engine Gear
ASME J. Risk Uncertainty Part B. September 2025, 11(3): 031208.
doi: https://doi.org/10.1115/1.4067668
Topics:
Aircraft engines
,
Event history analysis
,
Gears
,
Reliability
,
Fatigue
An Efficient Statistical Inference Approach for Model Calibration Using Griddy Gibbs Sampling
Stephen Jay Wright, Hannah Stewart, Shishir Sharma, Laura Redmond, Christopher McMahan, Matthew Castanier
ASME J. Risk Uncertainty Part B. September 2025, 11(3): 031209.
doi: https://doi.org/10.1115/1.4067669
Topics:
Calibration
,
Simulation
,
Pistons
,
Computers
Select Articles from Part A: Civil Engineering
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Propagation of Systematic Sensor Uncertainty Into the Frequency Domain
ASME J. Risk Uncertainty Part B (December 2025)
Reviewer's Recognition
ASME J. Risk Uncertainty Part B (September 2025)
Reviewer's Recognition
ASME J. Risk Uncertainty Part B (September 2025)
Balancing Interpretability and Uncertainty in Prognostic Models: A TOPSIS-Based Comparative Analysis of N-CMAPSS DS02 Methods
ASME J. Risk Uncertainty Part B
Mixed uncertainty analysis in pressure systems inspection applications
ASME J. Risk Uncertainty Part B
