Search Results | ASME J. Risk Uncertainty Part B

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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

ASME J. Risk Uncertainty Part B. June 2022, 8(2): 021203.

Paper No: RISK-21-1044

DOI: https://doi.org/10.1115/1.4052995

Published Online: December 14, 2021

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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

ASME J. Risk Uncertainty Part B. March 2022, 8(1): 011111.

Paper No: RISK-21-1012

DOI: https://doi.org/10.1115/1.4052270

Published Online: October 14, 2021

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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

ASME J. Risk Uncertainty Part B. March 2022, 8(1): 011109.

Paper No: RISK-20-1113

DOI: https://doi.org/10.1115/1.4051699

Published Online: September 20, 2021

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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

ASME J. Risk Uncertainty Part B. June 2022, 8(2): 021201.

Paper No: RISK-21-1023

DOI: https://doi.org/10.1115/1.4051939

Published Online: September 20, 2021

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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

ASME J. Risk Uncertainty Part B. March 2022, 8(1): 011108.

Paper No: RISK-20-1112

DOI: https://doi.org/10.1115/1.4051799

Published Online: August 27, 2021

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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

ASME J. Risk Uncertainty Part B. March 2022, 8(1): 011107.

Paper No: RISK-21-1009

DOI: https://doi.org/10.1115/1.4051747

Published Online: August 13, 2021

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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

ASME J. Risk Uncertainty Part B. March 2022, 8(1): 011106.

Paper No: RISK-21-1010

DOI: https://doi.org/10.1115/1.4051748

Published Online: August 9, 2021

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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

ASME J. Risk Uncertainty Part B. March 2022, 8(1): 011105.

Paper No: RISK-20-1111

DOI: https://doi.org/10.1115/1.4051700

Published Online: August 6, 2021

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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

ASME J. Risk Uncertainty Part B. March 2022, 8(1): 011103.

Paper No: RISK-21-1008

DOI: https://doi.org/10.1115/1.4051746

Published Online: August 4, 2021

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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

ASME J. Risk Uncertainty Part B. March 2022, 8(1): 011104.

Paper No: RISK-21-1011

DOI: https://doi.org/10.1115/1.4051749

Published Online: August 4, 2021

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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

ASME J. Risk Uncertainty Part B. March 2022, 8(1): 011102.

Paper No: RISK-21-1003

DOI: https://doi.org/10.1115/1.4051745

Published Online: August 2, 2021

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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

ASME J. Risk Uncertainty Part B. March 2022, 8(1): 011101.

Paper No: RISK-20-1115

DOI: https://doi.org/10.1115/1.4051750

Published Online: August 2, 2021

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Topics: Linear programming, Modeling, Regression models, Uncertainty, Compressive strength, Data collection, Optimization, Errors

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

ASME J. Risk Uncertainty Part B. September 2020, 6(3): 030905.

Paper No: RISK-19-1078

DOI: https://doi.org/10.1115/1.4047096

Published Online: May 20, 2020

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Topics: Robustness, Uncertainty

Journal Articles

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

Bart Kemper, Linda Cross

ASME J. Risk Uncertainty Part B. September 2020, 6(3): 030906.

Paper No: RISK-19-1044

DOI: https://doi.org/10.1115/1.4046742

Published Online: May 20, 2020

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Topics: Design, Pressure vessels, Finite element analysis, Algorithms

Journal Articles

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

Xuzhao Lu, Chul-Woo Kim, Kai-Chun Chang

ASME J. Risk Uncertainty Part B. September 2020, 6(3): 030903.

Paper No: RISK-19-1054

DOI: https://doi.org/10.1115/1.4046745

Published Online: May 12, 2020

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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

ASME J. Risk Uncertainty Part B. September 2020, 6(3): 030901.

Paper No: RISK-19-1039

DOI: https://doi.org/10.1115/1.4046739

Published Online: May 12, 2020

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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

ASME J. Risk Uncertainty Part B. September 2020, 6(3): 030902.

Paper No: RISK-19-1040

DOI: https://doi.org/10.1115/1.4046740

Published Online: May 12, 2020

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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

ASME J. Risk Uncertainty Part B. September 2020, 6(3): 030904.

Paper No: RISK-19-1074

DOI: https://doi.org/10.1115/1.4046747

Published Online: May 12, 2020

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Topics: Design, Modeling, Sensitivity analysis, Transients (Dynamics), Uncertainty, Calibration

Journal Articles

Resilience Decision-Making for Complex Systems

Julian Salomon, Matteo Broggi, Sebastian Kruse, Stefan Weber, Michael Beer

ASME J. Risk Uncertainty Part B. June 2020, 6(2): 020901.

Paper No: RISK-19-1005

DOI: https://doi.org/10.1115/1.4044907

Published Online: March 27, 2020

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Topics: Decision making, Resilience, Algorithms, Risk, Complex systems, Compressors, Robustness, Failure

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

ASME J. Risk Uncertainty Part B. June 2020, 6(2): 020902.

Paper No: RISK-18-1100

DOI: https://doi.org/10.1115/1.4046326

Published Online: March 27, 2020

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Topics: Damage, Structures, Wind, Probability

ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A: Civil Engineering

Experimental Design for Measuring Operational Performance of Truck Parking Terminal Using Simulation Technique

Narayana Raju; Shriniwas Arkatkar; Said Easa; Gaurang Joshi

Reviewers

Probabilistic Design of Gas Collection Systems for a Prototype Bioreactor

T. G. Parameswaran; K. M. Nazeeh; P. K. Deekshith; G. L. Sivakumar Babu

Benchmarking of Gaussian Process Regression with Multiple Random Fields for Spatial Variability Estimation

Yukihisa Tomizawa; Ikumasa Yoshida

Probabilistic Behavior and Variance-Based Sensitivity Analysis of Reinforced Concrete Masonry Walls Considering Slenderness Effect

Ziead Metwally; Bowen Zeng; Yong Li

Risk-Informed Bridge Optimal Maintenance Strategy Considering Target Service Life and User Cost at Project and Network Levels

Xu Han; Dan M. Frangopol

Speed-Based Reliability Analysis of 3D Highway Alignments Passing through Two-Lane Mountainous Terrain

Jaydip Goyani; Shriniwas Arkatkar; Gaurang Joshi; Said Easa

Numerical Assessment of Thermostructural Instability of Cylindrical Tanks Subjected to Pool Fire

Alireza Pourkeramat; Alireza Daneshmehr; Sina Jalili; Kiyarash Aminfar

Probabilistic and Experimental Investigation of the Effect of Mineral Adsorbents on Porous Concrete Using Kriging, PRSM, and RBF Methods

Emad Kahrizi; Taher Rajaee; Mehdi Sedighi

Uncertainties-Based Potential Time and Cost Overrun Assessment While Planning a Hydropower Project

Mitthan Lal Kansal; Sanchit Saran Agarwal

Risk Assessment of Bridge Construction Safety Considering Multi-Information Fusion

Bo Sun, Ph.D.; Hangkai Zhou; Fenghui Dong, Ph.D.; Weidong Ruan, Ph.D.; Xinjun Zhang, Ph.D.

Early Anomaly Warning of Environment-Induced Bridge Modal Variability through Localized Principal Component Differences

Zhen Wang; Ting-Hua Yi; Dong-Hui Yang; Hong-Nan Li; Guan-Hua Zhang, Ph.D.; Ji-Gang Han, Ph.D.

Effect of Stairway Handrails on Pedestrian Fatigue and Speed during Ascending Evacuation

Rui Jiang; Yuexin Wang; Ruihang Xie; Tiejun Zhou; Dachuan Wang

A Design Live Load Model for Long-Span Bridges Based on Traffic Data and Simulations

Jihwan Kim; Junho Song

Simulation-Based Environmental Risk Analysis of Mixed Traffic Flow at Intersections

Weiwei He; Liang Wang, Ph.D.; Cheng Xu, Ph.D.

New Cycle of the ASCE Journals’ Early Career Editorial Board

Michael Beer, Dr.Eng.

Dynamic Modeling for Analyzing Cost Overrun Risks in Residential Projects

Ghada Taha; Ali Sherif; Mohamed Badawy

Bayesian Updating: Reducing Epistemic Uncertainty in Hysteretic Degradation Behavior of Steel Tubular Structures

Sifeng Bi; Yongtao Bai; Xuhong Zhou

A Probabilistic Risk Assessment Approach for Surface Settlement Caused by Metro Tunnel Construction Using Credal Network

Xinyue Lu; K. K. Phoon; Chengshun Xu; Xiuli Du; Chong Tang

Bayesian Decision Network–Based Optimal Selection of Hardening Strategies for Power Distribution Systems

Qin Lu; Wei Zhang; William Hughes; Amvrossios C. Bagtzoglou

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