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Issues
September 2024
ISSN 2332-9017
EISSN 2332-9025
In this Issue
SPECIAL SECTION: PROBABILISTIC DIGITAL TWINS IN ADDITIVE MANUFACTURING
GUEST EDITORIAL
Special Section on Probabilistic Digital Twins in Additive Manufacturing
ASME J. Risk Uncertainty Part B. September 2024, 10(3): 030301.
doi: https://doi.org/10.1115/1.4065929
Topics:
Additive manufacturing
,
Digital twin
SPECIAL PAPERS
A Hierarchical Fault Diagnosis Model for Planetary Gearbox With Shift-Invariant Dictionary and OMPAN
ASME J. Risk Uncertainty Part B. September 2024, 10(3): 031101.
doi: https://doi.org/10.1115/1.4065442
Topics:
Algorithms
,
Fault diagnosis
,
Mechanical drives
,
Signals
,
Noise (Sound)
Uncertainty Quantification of Process-Property-Structure Linkage for Fused Filament Fabrication Parts
ASME J. Risk Uncertainty Part B. September 2024, 10(3): 031102.
doi: https://doi.org/10.1115/1.4065443
Uncertainty Quantification With Mixed Data by Hybrid Convolutional Neural Network for Additive Manufacturing
ASME J. Risk Uncertainty Part B. September 2024, 10(3): 031103.
doi: https://doi.org/10.1115/1.4065444
Reliability-Based Design Optimization of Additive Manufacturing for Lithium Battery Silicon Anode
ASME J. Risk Uncertainty Part B. September 2024, 10(3): 031104.
doi: https://doi.org/10.1115/1.4065530
Topics:
Anodes
,
Silicon
,
Reliability-based optimization
,
Additive manufacturing
,
Design
,
Batteries
,
Manufacturing
Smart and Digital World: The Technologies Needed for Digital Twins and Human Digital Twins
ASME J. Risk Uncertainty Part B. September 2024, 10(3): 031105.
doi: https://doi.org/10.1115/1.4065643
Topics:
Digital twin
,
Economics
,
Manufacturing
Deep Learning-Based Multifidelity Surrogate Modeling for High-Dimensional Reliability Prediction
ASME J. Risk Uncertainty Part B. September 2024, 10(3): 031106.
doi: https://doi.org/10.1115/1.4065846
Topics:
Dimensions
,
Metamodeling
,
Reliability
,
Simulation
,
Uncertainty
RESEARCH PAPERS
Filter Approximations for Random Vibroacoustics of Rigid Porous Media
ASME J. Risk Uncertainty Part B. September 2024, 10(3): 031201.
doi: https://doi.org/10.1115/1.4064286
LSTM Neural Networks Using the SMOTE Algorithm for Wind Turbine Fault Prediction
Júlio Oliveira Schmidt, Lucas França Aires, Guilherme Ricardo Hubner, Humberto Pinheiro, Daniel Fernando Tello Gamarra
ASME J. Risk Uncertainty Part B. September 2024, 10(3): 031202.
doi: https://doi.org/10.1115/1.4064375
Topics:
Algorithms
,
Artificial neural networks
,
Spectral energy distribution
,
Wind turbines
,
Rotors
,
Blades
Risk-Informing Nuclear Reactor Safety: The Prediction of the Probability of Core Damage Due to Loss of Power and Cooling
ASME J. Risk Uncertainty Part B. September 2024, 10(3): 031203.
doi: https://doi.org/10.1115/1.4064745
Topics:
Cooling
,
Damage
,
Probability
,
Risk
,
Risk-based decision making
,
Uncertainty
,
Failure
,
Safety
Complementing Drawability Assessment of Deep-Drawn Components With Surrogate-Based Global Sensitivity Analysis
ASME J. Risk Uncertainty Part B. September 2024, 10(3): 031204.
doi: https://doi.org/10.1115/1.4065143
TECHNICAL BRIEFS
Optimal Transport Theory for Railway Track Safety Applications
ASME J. Risk Uncertainty Part B. September 2024, 10(3): 034501.
doi: https://doi.org/10.1115/1.4064787
Topics:
Geometry
,
Railroads
,
Rails
,
Safety
,
Transport theory
Diminishing Safety Margins of Telescoping-Boom Aerial Lifts
ASME J. Risk Uncertainty Part B. September 2024, 10(3): 034502.
doi: https://doi.org/10.1115/1.4065028
Topics:
Machinery
,
Safety
,
Stability
,
Stress
,
Aerial lift platforms
,
Engineering standards
,
Weight (Mass)
Select Articles from Part A: Civil Engineering
Technical Papers
Quantification of Polymorphic Uncertainties: A Quasi-Monte Carlo Approach
ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A: Civil Engineering. September 2024, 10(3): 04024030.
doi: https://doi.org/10.1061/AJRUA6.RUENG-1185
Topics:
Uncertainty
Study of Site Investigation Sample Quality and Worst-Case Scale of Fluctuation for Monopiles Based on Conditional Random Fields
ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A: Civil Engineering. September 2024, 10(3): 04024031.
doi: https://doi.org/10.1061/AJRUA6.RUENG-1193
Topics:
Design
,
Load bearing capacity
,
Soil
,
Soil shear strength
,
Statistics
Gaussian Mixture–Based Autoregressive Error Model with a Conditionally Heteroscedastic Hierarchical Framework for Bayesian Updating of Structures
ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A: Civil Engineering. September 2024, 10(3): 04024032.
doi: https://doi.org/10.1061/AJRUA6.RUENG-1205
Topics:
Errors
An Optimized Site Selection Method for Human-Life Search and Rescue in Inland Waters
ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A: Civil Engineering. September 2024, 10(3): 04024036.
doi: https://doi.org/10.1061/AJRUA6.RUENG-1166
Topics:
Water
A Decision Support Methodology for Seismic Design Requirements of Buildings to Achieve Community-Level Resilience Metrics
ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A: Civil Engineering. September 2024, 10(3): 04024038.
doi: https://doi.org/10.1061/AJRUA6.RUENG-1213
Topics:
Earthquake resistant design
,
Resilience
,
Structures
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The ASME Ayyub-Weichel Risk Analysis Award
ASME J. Risk Uncertainty Part B
Uncertainty Quantification In The Prediction of Remaining Useful Life Considering Multiple Failure Modes
ASME J. Risk Uncertainty Part B
A data driven black box approach for the inverse quantification of set-theoretical uncertainty
ASME J. Risk Uncertainty Part B
Identification of crashworthy designs combining active learning and the solution space methodology
ASME J. Risk Uncertainty Part B
