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Journal Articles

Evaluation of Testing Uncertainties for the Impact Resistance of Machine Guards

Luca Landi, Eckart Uhlmann, Robert Hörl, Simon Thom, Giuseppe Gigliotti, Alessandro Stecconi
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 2022, 8(2): 021203.
Paper No: RISK-21-1044
https://doi.org/10.1115/1.4052995
Published Online: December 14, 2021
View Article titled, Evaluation of Testing Uncertainties for the Impact Resistance of Machine Guards
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Topics: Impact testing, Machinery, Projectiles, Testing, Uncertainty, Polycarbonate sheet, Dimensions
Journal Articles

Bayesian Calibration of Multiple Coupled Simulation Models for Metal Additive Manufacturing: A Bayesian Network Approach

Jiahui Ye, Mohamad Mahmoudi, Kubra Karayagiz, Luke Johnson, Raiyan Seede, Ibrahim Karaman, Raymundo Arroyave, Alaa Elwany
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 2022, 8(1): 011111.
Paper No: RISK-21-1012
https://doi.org/10.1115/1.4052270
Published Online: October 14, 2021
View Article titled, Bayesian Calibration of Multiple Coupled Simulation Models for Metal Additive Manufacturing: A Bayesian Network Approach
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Topics: Calibration, Simulation models, Alloys, Metals, Additive manufacturing, Uncertainty quantification, Lasers
Journal Articles

Accelerating Additive Design With Probabilistic Machine Learning

Yiming Zhang, Sreekar Karnati, Soumya Nag, Neil Johnson, Genghis Khan, Brandon Ribic
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 2022, 8(1): 011109.
Paper No: RISK-20-1113
https://doi.org/10.1115/1.4051699
Published Online: September 20, 2021
View Article titled, Accelerating Additive Design With Probabilistic Machine Learning
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Topics: Additive manufacturing, Design, Machine learning, Modeling, Optimization, Sensitivity analysis, Thin wall structures, Uncertainty, Tensile strength
Journal Articles

Uncertainty of Integral System Safety in Engineering

Kalman Ziha
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 2022, 8(2): 021201.
Paper No: RISK-21-1023
https://doi.org/10.1115/1.4051939
Published Online: September 20, 2021
View Article titled, Uncertainty of Integral System Safety in Engineering
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Topics: Entropy, Probability, Redundancy (Engineering), Robustness, Safety, Uncertainty, Failure, Reliability
Journal Articles

Data-Driven Sensitivity Analysis for Static Mechanical Properties of Additively Manufactured Ti–6Al–4V

Antriksh Sharma, Jie Chen, Evan Diewald, Anahita Imanian, Jack Beuth, Yongming Liu
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 2022, 8(1): 011108.
Paper No: RISK-20-1112
https://doi.org/10.1115/1.4051799
Published Online: August 27, 2021
View Article titled, Data-Driven Sensitivity Analysis for Static Mechanical Properties of Additively Manufactured Ti–6Al–4V
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Topics: Alloys, Elongation, Lasers, Manufacturing, Sensitivity analysis, Temperature, Tensile strength, Melting, Metals, Sintering
Journal Articles

Fabrication, Mechanics, and Reliability Analysis for Three-Dimensional Printed Lattice Designs

Nitin Nagesh Kulkarni, Stephen Ekwaro-Osire, Paul F. Egan
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 2022, 8(1): 011107.
Paper No: RISK-21-1009
https://doi.org/10.1115/1.4051747
Published Online: August 13, 2021
View Article titled, Fabrication, Mechanics, and Reliability Analysis for Three-Dimensional Printed Lattice Designs
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Topics: Density, Design, Event history analysis, Manufacturing, Printing, Reliability, Yield stress, Additive manufacturing, Probability, Stress
Journal Articles

Application of Deep Transfer Learning and Uncertainty Quantification for Process Identification in Powder Bed Fusion

Piyush Pandita, Sayan Ghosh, Vipul K. Gupta, Andrey Meshkov, Liping 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. March 2022, 8(1): 011106.
Paper No: RISK-21-1010
https://doi.org/10.1115/1.4051748
Published Online: August 9, 2021
View Article titled, Application of Deep Transfer Learning and Uncertainty Quantification for Process Identification in Powder Bed Fusion
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Topics: Additive manufacturing, Design, Modeling, Simulation, Uncertainty quantification, Lasers, Computers, Physics
Journal Articles

Uncertainty Quantification Analysis on Silicon Electrodeposition Process Via Numerical Simulation Methods

Zhuoyuan Zheng, Pingfeng 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. March 2022, 8(1): 011105.
Paper No: RISK-20-1111
https://doi.org/10.1115/1.4051700
Published Online: August 6, 2021
View Article titled, Uncertainty Quantification Analysis on Silicon Electrodeposition Process Via Numerical Simulation Methods
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Topics: Electrodeposition, Electrodes, Electrolytes, Finite element model, Silicon, Uncertainty quantification, Temperature, Anodes, Design, Simulation results
Journal Articles

Model Predictive Control of Melt Pool Size for the Laser Powder Bed Fusion Process Under Process Uncertainty

Zhimin Xi
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 2022, 8(1): 011103.
Paper No: RISK-21-1008
https://doi.org/10.1115/1.4051746
Published Online: August 4, 2021
View Article titled, Model Predictive Control of Melt Pool Size for the Laser Powder Bed Fusion Process Under Process Uncertainty
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Topics: Lasers, Machine learning, Predictive control, Uncertainty
Journal Articles

A Transfer Learning-Based Multi-Fidelity Point-Cloud Neural Network Approach for Melt Pool Modeling in Additive Manufacturing

Xufeng Huang, Tingli Xie, Zhuo Wang, Lei Chen, Qi Zhou, Zhen Hu
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 2022, 8(1): 011104.
Paper No: RISK-21-1011
https://doi.org/10.1115/1.4051749
Published Online: August 4, 2021
View Article titled, A Transfer Learning-Based Multi-Fidelity Point-Cloud Neural Network Approach for Melt Pool Modeling in Additive Manufacturing
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Topics: Additive manufacturing, Artificial neural networks, Modeling, Uncertainty, Cathode ray oscilloscopes, Electron beams, Temperature
Journal Articles

Gaussian Process-Based Model to Optimize Additively Manufactured Powder Microstructures From Phase Field Modeling

Arunabha Batabyal, Sugrim Sagar, Jian Zhang, Tejesh Dube, Xuehui Yang, Jing Zhang
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 2022, 8(1): 011102.
Paper No: RISK-21-1003
https://doi.org/10.1115/1.4051745
Published Online: August 2, 2021
View Article titled, Gaussian Process-Based Model to Optimize Additively Manufactured Powder Microstructures From Phase Field Modeling
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Topics: Optimization, Particulate matter, Machine learning, Additive manufacturing, Sintering
Journal Articles

Conservative Confidence Interval Prediction in Fused Deposition Modeling Process With Linear Optimization Approach

Arup Dey, Nita Yodo
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 2022, 8(1): 011101.
Paper No: RISK-20-1115
https://doi.org/10.1115/1.4051750
Published Online: August 2, 2021
View Article titled, Conservative Confidence Interval Prediction in Fused Deposition Modeling Process With Linear Optimization Approach
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Topics: Linear programming, Modeling, Regression models, Uncertainty, Compressive strength, Data collection, Optimization, Errors
Journal Articles

Developing “Design by Analysis” Methodology for Windows for Pressure Vessels for Human Occupancy

Bart Kemper, Linda Cross
Journal: ASCE-ASME J Risk and Uncert in Engrg Sys Part B Mech Engrg
Publisher: ASME
Article Type: Technical Briefs
ASME J. Risk Uncertainty Part B. September 2020, 6(3): 030906.
Paper No: RISK-19-1044
https://doi.org/10.1115/1.4046742
Published Online: May 20, 2020
View Article titled, Developing “Design by Analysis” Methodology for Windows for Pressure Vessels for Human Occupancy
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Topics: Design, Pressure vessels, Finite element analysis, Algorithms
Journal Articles

Experimental Validation of an Info-Gap Uncertainty Model for a Robustness Analysis of Structural Responses

Antoine Kuczkowiak, Scott Cogan, Morvan Ouisse, Emmanuel Foltête, Mathieu Corus
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 2020, 6(3): 030905.
Paper No: RISK-19-1078
https://doi.org/10.1115/1.4047096
Published Online: May 20, 2020
View Article titled, Experimental Validation of an Info-Gap Uncertainty Model for a Robustness Analysis of Structural Responses
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Topics: Robustness, Uncertainty
Journal Articles

Longitudinal Seismic Response of Train–Bridge Interaction System With Slip in Moderate Earthquakes

Xuzhao Lu, Chul-Woo Kim, Kai-Chun Chang
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 2020, 6(3): 030903.
Paper No: RISK-19-1054
https://doi.org/10.1115/1.4046745
Published Online: May 12, 2020
View Article titled, Longitudinal Seismic Response of Train–Bridge Interaction System With Slip in Moderate Earthquakes
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Topics: Bridges (Structures), Friction, Trains, Earthquakes, Stick-slip, Braking, Wheels
Journal Articles

Digital Twins: State-of-the-Art and Future Directions for Modeling and Simulation in Engineering Dynamics Applications

D. J. Wagg, K. Worden, R. J. Barthorpe, P. Gardner
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 2020, 6(3): 030901.
Paper No: RISK-19-1039
https://doi.org/10.1115/1.4046739
Published Online: May 12, 2020
View Article titled, Digital Twins: State-of-the-Art and Future Directions for Modeling and Simulation in Engineering Dynamics Applications
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Topics: Dynamics (Mechanics), Modeling, Simulation, Workflow, Uncertainty, Physics, Uncertainty quantification, Design
Journal Articles

On Digital Twins, Mirrors, and Virtualizations: Frameworks for Model Verification and Validation

K. Worden, E. J. Cross, R. J. Barthorpe, D. J. Wagg, P. Gardner
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 2020, 6(3): 030902.
Paper No: RISK-19-1040
https://doi.org/10.1115/1.4046740
Published Online: May 12, 2020
View Article titled, On Digital Twins, Mirrors, and Virtualizations: Frameworks for Model Verification and Validation
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Topics: Mirrors
Journal Articles

Advances in Bayesian Probabilistic Modeling for Industrial Applications

Sayan Ghosh, Piyush Pandita, Steven Atkinson, Waad Subber, Yiming Zhang, Natarajan Chennimalai Kumar, Suryarghya Chakrabarti, Liping 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 2020, 6(3): 030904.
Paper No: RISK-19-1074
https://doi.org/10.1115/1.4046747
Published Online: May 12, 2020
View Article titled, Advances in Bayesian Probabilistic Modeling for Industrial Applications
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Topics: Design, Modeling, Sensitivity analysis, Transients (Dynamics), Uncertainty, Calibration
Journal Articles

Hindcasting Loss and Evaluating Implications of Track Location for the 2011 Joplin, Missouri Tornado

Stephanie F. Pilkington, Hussam Mahmoud, John W. van de Lindt, Maria Koliou, Steve Smith
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 2020, 6(2): 020902.
Paper No: RISK-18-1100
https://doi.org/10.1115/1.4046326
Published Online: March 27, 2020
View Article titled, Hindcasting Loss and Evaluating Implications of Track Location for the 2011 Joplin, Missouri Tornado
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Topics: Damage, Structures, Wind, Probability
Journal Articles

Evaluating the Magnitude and Spatial Extent of Disruptions Across Interdependent National Infrastructure Networks

Conrad Zorn, Raghav Pant, Scott Thacker, Asaad Y. Shamseldin
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 2020, 6(2): 020904.
Paper No: RISK-18-1123
https://doi.org/10.1115/1.4046327
Published Online: March 27, 2020
View Article titled, Evaluating the Magnitude and Spatial Extent of Disruptions Across Interdependent National Infrastructure Networks
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Topics: Failure, Hazards, Petroleum, Resilience, Sewage, Water, Solid wastes, Telecommunications, Water supply, Simulation
Includes: Supplementary data