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Issues
December 2024
In Progress
ISSN 2332-9017
EISSN 2332-9025
In this Issue
Research Papers
A Mode Sensitivity Enhancement Method for Beam Bridge Using High-Density Strain Feedback
ASME J. Risk Uncertainty Part B. December 2024, 10(4): 041201.
doi: https://doi.org/10.1115/1.4065268
Topics:
Bridges (Structures)
,
Closed loop systems
,
Damage
,
Density
,
Displacement
,
Excitation
,
Feedback
,
Eigenvalues
,
Sensors
,
Poles (Building)
Impact of Sources of Damping on the Fragility Estimates of Wind Turbine Towers
ASME J. Risk Uncertainty Part B. December 2024, 10(4): 041202.
doi: https://doi.org/10.1115/1.4064766
Topics:
Damping
,
Wind turbines
,
Displacement
,
Computer simulation
Bayesian Inference Based on Monte Carlo Technique for Multiplier of Performance Shaping Factor
ASME J. Risk Uncertainty Part B. December 2024, 10(4): 041203.
doi: https://doi.org/10.1115/1.4065531
Topics:
Chain
,
Errors
,
Failure
,
Human reliability analysis
,
Probability
,
Uncertainty
,
Performance
Improving Output Power of a Torsional-Flutter Harvester in Stochastic Thunderstorms by Duffing—Van Der Pol Restoring Torque
ASME J. Risk Uncertainty Part B. December 2024, 10(4): 041204.
doi: https://doi.org/10.1115/1.4065532
Topics:
Distributed power generation
,
Flow (Dynamics)
,
Storms
,
Stress
,
Turbulence
,
Flutter (Aerodynamics)
,
Torque
Crashworthiness Analysis: Exploiting Information of Developed Products With Control Variates
ASME J. Risk Uncertainty Part B. December 2024, 10(4): 041205.
doi: https://doi.org/10.1115/1.4066079
Topics:
Crashworthiness
,
Design
,
Hafnium
Technical Brief
An Android Sensors-Based Portable Road Health Monitoring System Utilizing Measurement Uncertainty Analysis
ASME J. Risk Uncertainty Part B. December 2024, 10(4): 044501.
doi: https://doi.org/10.1115/1.4065664
Topics:
Filters
,
Humanoid robots
,
Roads
,
Sensors
,
Surface roughness
,
Errors
,
Filtration
,
Robustness
,
Monitoring systems
,
Mobile phones
Select Articles from Part A: Civil Engineering
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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
