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Journal Articles

Multi-Metric Validation Under Uncertainty for Multivariate Model Outputs and Limited Measurements

Andrew White, Sankaran Mahadevan, Jason Schmucker, Alexander Karl
Journal: Journal of Verification, Validation and Uncertainty Quantification
Publisher: ASME
Article Type: Research-Article
J. Verif. Valid. Uncert. December 2022, 7(4): 041004.
Paper No: VVUQ-22-1007
https://doi.org/10.1115/1.4056548
Published Online: January 6, 2023
View Article titled, Multi-Metric Validation Under Uncertainty for Multivariate Model Outputs and Limited Measurements
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Topics: Reliability, Shapes, Uncertainty, Heat transfer, Probability, Model validation
Journal Articles

Multi-Level Bayesian Calibration of a Multi-Component Dynamic System Model

Berkcan Kapusuzoglu, Sankaran Mahadevan, Shunsaku Matsumoto, Yoshitomo Miyagi, Daigo Watanabe
Journal: Journal of Computing and Information Science in Engineering
Publisher: ASME
Article Type: Research Papers
J. Comput. Inf. Sci. Eng. February 2023, 23(1): 011006.
Paper No: JCISE-22-1121
https://doi.org/10.1115/1.4055315
Published Online: September 15, 2022
View Article titled, Multi-Level Bayesian Calibration of a Multi-Component Dynamic System Model
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Topics: Calibration, Blades
Journal Articles

Probabilistic Digital Twin for Additive Manufacturing Process Design and Control

Paromita Nath, Sankaran Mahadevan
Journal: Journal of Mechanical Design
Publisher: ASME
Article Type: Research Papers
J. Mech. Des. September 2022, 144(9): 091704.
Paper No: MD-21-1740
https://doi.org/10.1115/1.4054521
Published Online: June 13, 2022
View Article titled, Probabilistic Digital Twin for Additive Manufacturing Process Design and Control
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Topics: Digital twin, Manufacturing, Optimization, Physics, Process control, Process design, Uncertainty, Additive manufacturing, Lasers, Porosity
Journal Articles

Calibration and Validation of Multiscale Model for Ultimate Strength Prediction of Composite Laminates Under Uncertainty

Rudraprasad Bhattacharyya, Sankaran Mahadevan
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): 021205.
Paper No: RISK-21-1054
https://doi.org/10.1115/1.4053060
Published Online: January 7, 2022
View Article titled, Calibration and Validation of Multiscale Model for Ultimate Strength Prediction of Composite Laminates Under Uncertainty
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Topics: Calibration, Composite materials, Laminates, Uncertainty, Tensile strength, Errors, Multiscale modeling, Carbon reinforced plastics
Journal Articles

Uncertainty Quantification for Additive Manufacturing Process Improvement: Recent Advances

Sankaran Mahadevan, Paromita Nath, Zhen Hu
Journal: ASCE-ASME J Risk and Uncert in Engrg Sys Part B Mech Engrg
Publisher: ASME
Article Type: Review Articles
ASME J. Risk Uncertainty Part B. March 2022, 8(1): 010801.
Paper No: RISK-21-1065
https://doi.org/10.1115/1.4053184
Published Online: January 6, 2022
View Article titled, Uncertainty Quantification for Additive Manufacturing Process Improvement: Recent Advances
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Topics: Additive manufacturing, Calibration, Optimization, Physics, Uncertainty, Uncertainty quantification, Errors, Lasers, Manufacturing
Journal Articles

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

Berkcan Kapusuzoglu, Paromita Nath, Matthew Sato, Sankaran Mahadevan, Paul Witherell
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): 011112.
Paper No: RISK-21-1006
https://doi.org/10.1115/1.4053181
Published Online: January 6, 2022
View Article titled, Multi-Objective Optimization Under Uncertainty of Part Quality in Fused Filament Fabrication
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Topics: Artificial neural networks, Design, Manufacturing, Optimization, Pareto optimization, Uncertainty
Journal Articles

Special Issue on Uncertainty Quantification and Management in Additive Manufacturing

Zhen Hu, Saideep Nannapaneni, Sankaran Mahadevan
Journal: ASCE-ASME J Risk and Uncert in Engrg Sys Part B Mech Engrg
Publisher: ASME
Article Type: Guest Editorial
ASME J. Risk Uncertainty Part B. March 2022, 8(1): 010301.
Paper No: RISK-21-1089
https://doi.org/10.1115/1.4053183
Published Online: December 27, 2021
View Article titled, Special Issue on Uncertainty Quantification and Management in Additive Manufacturing
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Topics: Additive manufacturing, Uncertainty quantification, Uncertainty
Proceedings Papers

Fatigue Reliability Under Corrosion, Creep, and Fretting Damage

Sankaran Mahadevan
Proc. ASME. IMECE2000, Materials: Book of Abstracts, 53, November 5–10, 2000
Publisher: American Society of Mechanical Engineers
Paper No: IMECE2000-2670
https://doi.org/10.1115/IMECE2000-2670
View Paper titled, Fatigue Reliability Under Corrosion, Creep, and Fretting Damage
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Topics: Corrosion, Creep, Damage, Fatigue, Reliability, Fracture (Materials), Aircraft, Event history analysis, Fatigue life, Nucleation (Physics)
Journal Articles

Process Optimization Under Uncertainty for Improving the Bond Quality of Polymer Filaments in Fused Filament Fabrication

Berkcan Kapusuzoglu, Matthew Sato, Sankaran Mahadevan, Paul Witherell
Journal: Journal of Manufacturing Science and Engineering
Publisher: ASME
Article Type: Research Papers
J. Manuf. Sci. Eng. February 2021, 143(2): 021007.
Paper No: MANU-19-1657
https://doi.org/10.1115/1.4048073
Published Online: October 8, 2020
View Article titled, Process Optimization Under Uncertainty for Improving the Bond Quality of Polymer Filaments in Fused Filament Fabrication
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Topics: Heat transfer, Manufacturing, Optimization, Sensitivity analysis, Sintering, Temperature, Uncertainty, Calibration, Physics, Polymers
Journal Articles

Discrepancy Prediction in Dynamical System Models Under Untested Input Histories

Kyle Neal, Zhen Hu, Sankaran Mahadevan, Jon Zumberge
Journal: Journal of Computational and Nonlinear Dynamics
Publisher: ASME
Article Type: Research-Article
J. Comput. Nonlinear Dynam. February 2019, 14(2): 021009.
Paper No: CND-18-1242
https://doi.org/10.1115/1.4041238
Published Online: January 7, 2019
View Article titled, Discrepancy Prediction in Dynamical System Models Under Untested Input Histories
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Topics: Artificial neural networks, Dynamic systems, Model validation, Physics, Reliability, Uncertainty, Cycles, Machinery, Simulation models, Errors
Proceedings Papers

Dynamic Model Discrepancy Quantification in Simulation-Based Design of Dynamical Systems

Zhen Hu, Chao Hu, Zissimos P. Mourelatos, Sankaran Mahadevan
Proc. ASME. IDETC-CIE2018, Volume 2B: 44th Design Automation Conference, V02BT03A052, August 26–29, 2018
Publisher: American Society of Mechanical Engineers
Paper No: DETC2018-85374
https://doi.org/10.1115/DETC2018-85374
View Paper titled, Dynamic Model Discrepancy Quantification in Simulation-Based Design of Dynamical Systems
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Topics: Design, Dynamic models, Dynamic systems, Simulation, Modeling, Physics, Approximation, Circuits, Construction
Proceedings Papers

Acoustic Data Analysis for Detecting Alkali-Silica Reaction Degradation in Concrete

Ankit Ramanand Dubey, Sarah A. Miele, Vivek Agarwal, Sankaran Mahadevan
Proc. ASME. PVP2018, Volume 5: High-Pressure Technology; ASME Nondestructive Evaluation, Diagnosis and Prognosis Division (NDPD); Rudy Scavuzzo Student Paper Symposium and 26th Annual Student Paper Competition, V005T09A002, July 15–20, 2018
Publisher: American Society of Mechanical Engineers
Paper No: PVP2018-84704
https://doi.org/10.1115/PVP2018-84704
View Paper titled, Acoustic Data Analysis for Detecting Alkali-Silica Reaction Degradation in Concrete
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Topics: Acoustics, Concretes, Slabs, Concrete slabs, Actuators, Cables, Light water reactors, Linear systems, Nonlinear vibration, Nuclear power stations
Journal Articles

Model Discrepancy Quantification in Simulation-Based Design of Dynamical Systems

Zhen Hu, Chao Hu, Zissimos P. Mourelatos, Sankaran Mahadevan
Journal: Journal of Mechanical Design
Publisher: ASME
Article Type: Research-Article
J. Mech. Des. January 2019, 141(1): 011401.
Paper No: MD-18-1148
https://doi.org/10.1115/1.4041483
Published Online: October 8, 2018
View Article titled, Model Discrepancy Quantification in Simulation-Based Design of Dynamical Systems
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Topics: Design, Dynamic systems, Modeling, Simulation, Dynamic models, Circuits
Journal Articles

Predictive Model Markup Language (PMML) Representation of Bayesian Networks: An Application in Manufacturing

Saideep Nannapaneni, Anantha Narayanan, Ronay Ak, David Lechevalier, Thurston Sexton, Sankaran Mahadevan, Yung-Tsun Tina Lee
Journal: Smart and Sustainable Manufacturing Systems
Publisher: ASTM International
Article Type: Technical Papers
Smart Sustain. Manuf. Syst.. February 2018, 2(1): 87–113.
Paper No: SSMS20180018
https://doi.org/10.1520/SSMS20180018
Published Online: October 2, 2018
View Article titled, Predictive Model Markup Language (PMML) Representation of Bayesian Networks: An Application in Manufacturing
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Proceedings Papers

Real-Time Control of Cyber-Physical Manufacturing Process Under Uncertainty

Saideep Nannapaneni, Sankaran Mahadevan, Abhishek Dubey
Proc. ASME. MSEC2018, Volume 3: Manufacturing Equipment and Systems, V003T02A001, June 18–22, 2018
Publisher: American Society of Mechanical Engineers
Paper No: MSEC2018-6460
https://doi.org/10.1115/MSEC2018-6460
View Paper titled, Real-Time Control of Cyber-Physical Manufacturing Process Under Uncertainty
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Topics: Manufacturing, Real-time control, Uncertainty, Process control, Product quality, Sensors, Dimensions, Machining, Process monitoring, Sensitivity analysis
Journal Articles

Bayesian Network Learning for Data-Driven Design

Zhen Hu, Sankaran Mahadevan
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. December 2018, 4(4): 041002.
Paper No: RISK-17-1063
https://doi.org/10.1115/1.4039149
Published Online: April 18, 2018
View Article titled, Bayesian Network Learning for Data-Driven Design
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Journal Articles

Adaptive Surrogate Modeling for Time-Dependent Multidisciplinary Reliability Analysis

Zhen Hu, Sankaran Mahadevan
Journal: Journal of Mechanical Design
Publisher: ASME
Article Type: Research-Article
J. Mech. Des. February 2018, 140(2): 021401.
Paper No: MD-17-1331
https://doi.org/10.1115/1.4038333
Published Online: November 15, 2017
View Article titled, Adaptive Surrogate Modeling for Time-Dependent Multidisciplinary Reliability Analysis
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Topics: Engineering disciplines, Event history analysis, Modeling, Probability, Uncertainty, Errors, Simulation, Reliability, Failure
Proceedings Papers

Bayesian Network Learning for Uncertainty Quantification

Zhen Hu, Sankaran Mahadevan
Proc. ASME. IDETC-CIE2017, Volume 2A: 43rd Design Automation Conference, V02AT03A044, August 6–9, 2017
Publisher: American Society of Mechanical Engineers
Paper No: DETC2017-68187
https://doi.org/10.1115/DETC2017-68187
View Paper titled, Bayesian Network Learning for Uncertainty Quantification
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Topics: Uncertainty quantification, Algorithms, Design, Topology, Calibration, Engineering design, Event history analysis, Modeling, Probability
Proceedings Papers

Adaptive Surrogate Modeling for Multidisciplinary Reliability Analysis Under Time-Dependent Uncertainty

Zhen Hu, Sankaran Mahadevan
Proc. ASME. IDETC-CIE2017, Volume 2B: 43rd Design Automation Conference, V02BT03A052, August 6–9, 2017
Publisher: American Society of Mechanical Engineers
Paper No: DETC2017-67383
https://doi.org/10.1115/DETC2017-67383
View Paper titled, Adaptive Surrogate Modeling for Multidisciplinary Reliability Analysis Under Time-Dependent Uncertainty
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Topics: Event history analysis, Modeling, Uncertainty, Errors, Failure, Probability, Sensitivity analysis, Transients (Dynamics)
Journal Articles

Sensitivity Analysis of a Bayesian Network

Chenzhao Li, Sankaran Mahadevan
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 2018, 4(1): 011003.
Paper No: RISK-16-1112
https://doi.org/10.1115/1.4037454
Published Online: September 7, 2017
View Article titled, Sensitivity Analysis of a Bayesian Network
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Topics: Algorithms, Computation, Particulate matter, Sensitivity analysis, Uncertainty, Probability