Search Results | ASME J. Risk Uncertainty Part B

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Journal Articles

Robust Design Optimization of Expensive Stochastic Simulators Under Lack-of-Knowledge

Conradus van Mierlo, Augustin Persoons, Matthias G. R. Faes, David Moens

ASME J. Risk Uncertainty Part B. June 2023, 9(2): 021205.

Paper No: RISK-22-1065

DOI: https://doi.org/10.1115/1.4056950

Published Online: March 24, 2023

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Topics: Design, Noise (Sound), Optimization, Robustness, Uncertainty, Crashworthiness

Journal Articles

A Reduced-Order Wiener Path Integral Formalism for Determining the Stochastic Response of Nonlinear Systems With Fractional Derivative Elements

Ilias G. Mavromatis, Ioannis A. Kougioumtzoglou

ASME J. Risk Uncertainty Part B. September 2023, 9(3): 031201.

Paper No: RISK-23-1001

DOI: https://doi.org/10.1115/1.4056902

Published Online: March 2, 2023

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Topics: Approximation, Boundary-value problems, Nonlinear systems, Path integrals, Dimensions, Optimization, Dampers, Probability

Journal Articles

Multi-Objective Optimization Under Uncertainty of Part Quality in Fused Filament Fabrication

Berkcan Kapusuzoglu, Paromita Nath, Matthew Sato, Sankaran Mahadevan, Paul Witherell

ASME J. Risk Uncertainty Part B. March 2022, 8(1): 011112.

Paper No: RISK-21-1006

DOI: https://doi.org/10.1115/1.4053181

Published Online: January 6, 2022

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Topics: Artificial neural networks, Design, Manufacturing, Optimization, Pareto optimization, Uncertainty

Journal Articles

Uncertainty Quantification for Additive Manufacturing Process Improvement: Recent Advances

Sankaran Mahadevan, Paromita Nath, Zhen Hu

ASME J. Risk Uncertainty Part B. March 2022, 8(1): 010801.

Paper No: RISK-21-1065

DOI: https://doi.org/10.1115/1.4053184

Published Online: January 6, 2022

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Topics: Additive manufacturing, Calibration, Optimization, Physics, Uncertainty, Uncertainty quantification, Errors, Lasers, Manufacturing

Journal Articles

An Interval Approach for the Availability Optimization of Multi-State Systems in the Presence of Aleatory and Epistemic Uncertainties

J. Akrouche, M. Sallak, E. Châtelet, F. Abdallah, H. Haj Chhadé

ASME J. Risk Uncertainty Part B. June 2022, 8(2): 021202.

Paper No: RISK-21-1007

DOI: https://doi.org/10.1115/1.4052461

Published Online: December 14, 2021

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Topics: Failure, Maintenance, Optimization, Probability, Uncertainty

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

Optimizing the Cost and Reliability of Shared Anchors in an Array of Floating Offshore Wind Turbines

Michael C. Devin, Bryony L. DuPont, Spencer T. Hallowell, Sanjay R. Arwade

ASME J. Risk Uncertainty Part B. December 2021, 7(4): 040905.

Paper No: RISK-20-1106

DOI: https://doi.org/10.1115/1.4051163

Published Online: August 9, 2021

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Topics: Failure, Floating wind turbines, Maintenance, Mooring, Optimization, Optimization algorithms, Reliability, Turbines, Wind farms, Algorithms

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

A Hyper-Ellipsoid Approach for Inverse Lack-of-Knowledge Uncertainty Quantification

Norbert Ludwig, Fabian Duddeck, Marco Daub

ASME J. Risk Uncertainty Part B. June 2021, 7(2): 020911.

Paper No: RISK-20-1085

DOI: https://doi.org/10.1115/1.4050162

Published Online: April 23, 2021

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Topics: Computation, Hull, Jet engines, Uncertainty, Uncertainty quantification, Optimization, Inverse problems

Journal Articles

Shell Buckling With Polymorphic Uncertain Surface Imperfections and Sensitivity Analysis

Marc Fina, Lukas Panther, Patrick Weber, Werner Wagner

ASME J. Risk Uncertainty Part B. June 2021, 7(2): 020909.

Paper No: RISK-20-1083

DOI: https://doi.org/10.1115/1.4050165

Published Online: April 23, 2021

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Topics: Buckling, Chaos, Polynomials, Sensitivity analysis, Shells, Stress, Probability, Optimization, Uncertainty, Modeling

Journal Articles

Serviceability Assessment of Footbridges Via Improved Interval Analysis

Roberta Santoro, Alba Sofi, Federica Tubino

ASME J. Risk Uncertainty Part B. June 2021, 7(2): 020906.

Paper No: RISK-20-1080

DOI: https://doi.org/10.1115/1.4050169

Published Online: April 23, 2021

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Topics: Maintainability, Uncertainty, Probability, Dynamic response, Optimization

Journal Articles

Optimization or Bayesian Strategy? Performance of the Bhattacharyya Distance in Different Algorithms of Stochastic Model Updating

Sifeng Bi, Michael Beer, Jingrui Zhang, Lechang Yang, Kui He

ASME J. Risk Uncertainty Part B. June 2021, 7(2): 020903.

Paper No: RISK-20-1070

DOI: https://doi.org/10.1115/1.4050168

Published Online: April 23, 2021

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Topics: Algorithms, Optimization, Uncertainty, Uncertainty quantification, Chain

Journal Articles

Guaranteed Minimization of the Bit Error Ratio for MIMO Systems: A Mathematical Viewpoint

Ekaterina Auer, Andreas Ahrens

ASME J. Risk Uncertainty Part B. June 2021, 7(2): 020910.

Paper No: RISK-20-1084

DOI: https://doi.org/10.1115/1.4050161

Published Online: April 23, 2021

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Topics: Errors, Uncertainty, Optimization

Journal Articles

Application of a Reduced Order Model for Fuzzy Analysis of Linear Static Systems

Marcos A. Valdebenito, Héctor A. Jensen, Pengfei Wei, Michael Beer, André T. Beck

ASME J. Risk Uncertainty Part B. June 2021, 7(2): 020904.

Paper No: RISK-20-1078

DOI: https://doi.org/10.1115/1.4050159

Published Online: April 23, 2021

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Topics: Approximation, Errors, Optimization, Stress, Systems analysis, Uncertainty, Equilibrium (Physics)

Journal Articles

Multi-Objective Optimization of Tree Trunk Axes in Glulam Beam Design Considering Fuzzy Probability-Based Random Fields

F. Niklas Schietzold, Wolfgang Graf, Michael Kaliske

ASME J. Risk Uncertainty Part B. June 2021, 7(2): 020913.

Paper No: RISK-20-1093

DOI: https://doi.org/10.1115/1.4050370

Published Online: April 23, 2021

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Topics: Design, Optimization, Probability, Uncertainty, Glued laminated timbers, Pareto optimization, Uncertainty analysis, Finite element methods, Chaos

Journal Articles

Special Section on Response Analysis and Optimization of Dynamic Energy Harvesting Systems in Presence of Uncertainties

Agathoklis Giaralis, Ioannis A. Kougioumtzoglou, Pol D. Spanos

ASME J. Risk Uncertainty Part B. March 2021, 7(1): 010301.

Paper No: RISK-20-1116

DOI: https://doi.org/10.1115/1.4049201

Published Online: January 21, 2021

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Topics: Energy harvesting, Optimization, Uncertainty

Journal Articles

Stochastic Response Analysis and Reliability-Based Design Optimization of Nonlinear Electromechanical Energy Harvesters With Fractional Derivative Elements

Ioannis Petromichelakis, Apostolos F. Psaros, Ioannis A. Kougioumtzoglou

ASME J. Risk Uncertainty Part B. March 2021, 7(1): 010901.

Paper No: RISK-19-1091

DOI: https://doi.org/10.1115/1.4049232

Published Online: January 21, 2021

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Topics: Design, Energy harvesting, Failure, Optimization, Probability, Modeling, Path integrals, Reliability-based optimization

Journal Articles

Bilevel Flexible-Robust Optimization for Energy Allocation Problems

Arpan Biswas, Yong Chen, Nathan Gibson, Christopher Hoyle

ASME J. Risk Uncertainty Part B. September 2020, 6(3): 031002.

Paper No: RISK-19-1077

DOI: https://doi.org/10.1115/1.4046269

Published Online: May 25, 2020

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Topics: Optimization, Reservoirs, Uncertainty

Journal Articles

Reliability-Based Multifidelity Optimization Using Adaptive Hybrid Learning

Mingyang Li, Zequn Wang

ASME J. Risk Uncertainty Part B. June 2020, 6(2): 021005.

Paper No: RISK-19-1034

DOI: https://doi.org/10.1115/1.4044773

Published Online: March 30, 2020

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Topics: Design, Optimization, Reliability, Algorithms

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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