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Journal Articles

The ASME Ayyub-Weichel Risk Analysis Award

Accepted Manuscript
Mohammad Pourgol
Journal: ASCE-ASME J Risk and Uncert in Engrg Sys Part B Mech Engrg
Publisher: ASME
Article Type: Announcements
ASME J. Risk Uncertainty Part B.
Paper No: RISK-24-1080
https://doi.org/10.1115/1.4066763
Published Online: October 1, 2024
View Article titled, The ASME Ayyub-Weichel Risk Analysis Award
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Topics: Risk, Risk analysis
Journal Articles

Uncertainty Quantification In The Prediction of Remaining Useful Life Considering Multiple Failure Modes

Accepted Manuscript
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.
Paper No: RISK-24-1052
https://doi.org/10.1115/1.4066722
Published Online: September 30, 2024
View Article titled, Uncertainty Quantification In The Prediction of Remaining Useful Life Considering Multiple Failure Modes
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Topics: Failure mechanisms, Risk, Service life (Equipment), Uncertainty quantification, Uncertainty, Failure, Artificial neural networks, Design, Lithium-ion batteries, Rolling bearings
Journal Articles

Bayesian Model Updating of Multiscale Simulations Informing Corrosion Prognostics Using Conditional Invertible Neural Networks

Guofeng Qian, Jice Zeng, Zhen Hu, 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): 011105.
Paper No: RISK-24-1050
https://doi.org/10.1115/1.4065845
Published Online: September 26, 2024
View Article titled, Bayesian Model Updating of Multiscale Simulations Informing Corrosion Prognostics Using Conditional Invertible Neural Networks
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Topics: Corrosion, Simulation, Artificial neural networks
Journal Articles

A FMEA optimization method based on TODIM and BWM-WFT in Pythagorean fuzzy language environment for reliability assessment of industrial robot

Accepted Manuscript
Jihong Pang, Jinkun Dai
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-24-1057
https://doi.org/10.1115/1.4066620
Published Online: September 26, 2024
View Article titled, A FMEA optimization method based on TODIM and BWM-WFT in Pythagorean fuzzy language environment for reliability assessment of industrial robot
Open the PDF for A FMEA optimization method based on TODIM and BWM-WFT in Pythagorean fuzzy language environment for reliability assessment of industrial robot in another window
Topics: Failure mode and effects analysis, Optimization, Reliability, Risk, Robots, Failure mechanisms, Weight (Mass), Risk assessment, Robustness, Water
Journal Articles

A data driven black box approach for the inverse quantification of set-theoretical uncertainty

Accepted Manuscript
Lars Bogaerts, Matthias 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.
Paper No: RISK-24-1030
https://doi.org/10.1115/1.4066619
Published Online: September 26, 2024
View Article titled, A data driven black box approach for the inverse quantification of set-theoretical uncertainty
Open the PDF for A data driven black box approach for the inverse quantification of set-theoretical uncertainty in another window
Topics: Risk, Uncertainty, Uncertainty quantification, Artificial neural networks, Deep learning, Inverse problems, Pressure, Welding
Journal Articles

Identification of crashworthy designs combining active learning and the solution space methodology

Accepted Manuscript
Paolo Ascia, Stefano Marelli, Sudret Bruno, Fabian Duddeck
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-24-1062
https://doi.org/10.1115/1.4066621
Published Online: September 26, 2024
View Article titled, Identification of crashworthy designs combining active learning and the solution space methodology
Open the PDF for Identification of crashworthy designs combining active learning and the solution space methodology in another window
Topics: Crashworthiness, Risk, Design, Engineering simulation, Simulation, Vehicles, Errors, Failure, Finite element analysis, Reliability
Image
The physics-based multiscale corrosion simulation

The physics-based multiscale corrosion simulation

in Bayesian Model Updating of Multiscale Simulations Informing Corrosion Prognostics Using Conditional Invertible Neural Networks > ASCE-ASME J Risk and Uncert in Engrg Sys Part B Mech Engrg
Published Online: September 26, 2024
Fig. 1 The physics-based multiscale corrosion simulation More about this image found in The physics-based multiscale corrosion simulation
Image
Greenup miter gate in inland waterway system

Greenup miter gate in inland waterway system

in Bayesian Model Updating of Multiscale Simulations Informing Corrosion Prognostics Using Conditional Invertible Neural Networks > ASCE-ASME J Risk and Uncert in Engrg Sys Part B Mech Engrg
Published Online: September 26, 2024
Fig. 2 Greenup miter gate in inland waterway system More about this image found in Greenup miter gate in inland waterway system
Image
Illustration for ABC process [ 30 ]

Illustration for ABC process [ 30 ]

in Bayesian Model Updating of Multiscale Simulations Informing Corrosion Prognostics Using Conditional Invertible Neural Networks > ASCE-ASME J Risk and Uncert in Engrg Sys Part B Mech Engrg
Published Online: September 26, 2024
Fig. 3 Illustration for ABC process [ 30 ] More about this image found in Illustration for ABC process [ 30 ]
Image
The feature extraction procedure from graphic model

The feature extraction procedure from graphic model

in Bayesian Model Updating of Multiscale Simulations Informing Corrosion Prognostics Using Conditional Invertible Neural Networks > ASCE-ASME J Risk and Uncert in Engrg Sys Part B Mech Engrg
Published Online: September 26, 2024
Fig. 4 The feature extraction procedure from graphic model More about this image found in The feature extraction procedure from graphic model
Image
The concept illustration of normalization flow

The concept illustration of normalization flow

in Bayesian Model Updating of Multiscale Simulations Informing Corrosion Prognostics Using Conditional Invertible Neural Networks > ASCE-ASME J Risk and Uncert in Engrg Sys Part B Mech Engrg
Published Online: September 26, 2024
Fig. 5 The concept illustration of normalization flow More about this image found in The concept illustration of normalization flow
Image
Corrosion on miter gates

Corrosion on miter gates

in Bayesian Model Updating of Multiscale Simulations Informing Corrosion Prognostics Using Conditional Invertible Neural Networks > ASCE-ASME J Risk and Uncert in Engrg Sys Part B Mech Engrg
Published Online: September 26, 2024
Fig. 6 Corrosion on miter gates More about this image found in Corrosion on miter gates
Image
Phase-field simulation under dynamic stress load

Phase-field simulation under dynamic stress load

in Bayesian Model Updating of Multiscale Simulations Informing Corrosion Prognostics Using Conditional Invertible Neural Networks > ASCE-ASME J Risk and Uncert in Engrg Sys Part B Mech Engrg
Published Online: September 26, 2024
Fig. 7 Phase-field simulation under dynamic stress load More about this image found in Phase-field simulation under dynamic stress load
Image
Features prediction results from GP-NARX model

Features prediction results from GP-NARX model

in Bayesian Model Updating of Multiscale Simulations Informing Corrosion Prognostics Using Conditional Invertible Neural Networks > ASCE-ASME J Risk and Uncert in Engrg Sys Part B Mech Engrg
Published Online: September 26, 2024
Fig. 8 Features prediction results from GP-NARX model More about this image found in Features prediction results from GP-NARX model
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Observation images at different time steps

Observation images at different time steps

in Bayesian Model Updating of Multiscale Simulations Informing Corrosion Prognostics Using Conditional Invertible Neural Networks > ASCE-ASME J Risk and Uncert in Engrg Sys Part B Mech Engrg
Published Online: September 26, 2024
Fig. 9 Observation images at different time steps More about this image found in Observation images at different time steps
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Posterior PDF of three key parameters after inference from ABC and cINN

Posterior PDF of three key parameters after inference from ABC and cINN

in Bayesian Model Updating of Multiscale Simulations Informing Corrosion Prognostics Using Conditional Invertible Neural Networks > ASCE-ASME J Risk and Uncert in Engrg Sys Part B Mech Engrg
Published Online: September 26, 2024
Fig. 10 Posterior PDF of three key parameters after inference from ABC and cINN More about this image found in Posterior PDF of three key parameters after inference from ABC and cINN
Image
Width prediction results from the updated corrosion model parameters

Width prediction results from the updated corrosion model parameters

in Bayesian Model Updating of Multiscale Simulations Informing Corrosion Prognostics Using Conditional Invertible Neural Networks > ASCE-ASME J Risk and Uncert in Engrg Sys Part B Mech Engrg
Published Online: September 26, 2024
Fig. 11 Width prediction results from the updated corrosion model parameters More about this image found in Width prediction results from the updated corrosion model parameters
Image
Depth prediction results from the updated corrosion model parameters

Depth prediction results from the updated corrosion model parameters

in Bayesian Model Updating of Multiscale Simulations Informing Corrosion Prognostics Using Conditional Invertible Neural Networks > ASCE-ASME J Risk and Uncert in Engrg Sys Part B Mech Engrg
Published Online: September 26, 2024
Fig. 12 Depth prediction results from the updated corrosion model parameters More about this image found in Depth prediction results from the updated corrosion model parameters
Image
Observation bias in pit number

Observation bias in pit number

in Bayesian Model Updating of Multiscale Simulations Informing Corrosion Prognostics Using Conditional Invertible Neural Networks > ASCE-ASME J Risk and Uncert in Engrg Sys Part B Mech Engrg
Published Online: September 26, 2024
Fig. 13 Observation bias in pit number More about this image found in Observation bias in pit number
Image
Observation bias in pit width distribution

Observation bias in pit width distribution

in Bayesian Model Updating of Multiscale Simulations Informing Corrosion Prognostics Using Conditional Invertible Neural Networks > ASCE-ASME J Risk and Uncert in Engrg Sys Part B Mech Engrg
Published Online: September 26, 2024
Fig. 14 Observation bias in pit width distribution More about this image found in Observation bias in pit width distribution