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Journal Articles

Mobility Prediction of Off-Road Ground Vehicles Using a Dynamic Ensemble of NARX Models

Yixuan Liu, Dakota Barthlow, Zissimos P. Mourelatos, Jice Zeng, David Gorsich, Amandeep Singh, Zhen Hu

J. Mech. Des. September 2022, 144(9): 091709.

Paper No: MD-22-1162

DOI: https://doi.org/10.1115/1.4054908

Published Online: August 4, 2022

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Topics: Mechanical admittance, Roads, Simulation, Vehicles, Automated guided vehicles

Journal Articles

Reliability-Based Multivehicle Path Planning Under Uncertainty Using a Bio-Inspired Approach

Yixuan Liu, Chen Jiang, Xiaoge Zhang, Zissimos P. Mourelatos, Dakota Barthlow, David Gorsich, Amandeep Singh, Zhen Hu

J. Mech. Des. September 2022, 144(9): 091701.

Paper No: MD-21-1520

DOI: https://doi.org/10.1115/1.4053217

Published Online: June 13, 2022

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Topics: Mechanical admittance, Path planning, Reliability, Uncertainty, Vehicles, Soil, Roads, Biomimetics, Algorithms, Simulation

Journal Articles

Value of Information in Multi-Attribute Decisions With Applications in Ground Vehicle Autonomy

Sam Kassoumeh, Vijitashwa Pandey, David Gorsich, Paramsothy Jayakumar

J. Auton. Veh. Sys. October 2021, 1(4): 041006.

Paper No: JAVS-21-1023

DOI: https://doi.org/10.1115/1.4054125

Published Online: April 26, 2022

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Topics: Autonomous vehicles, Design, Numerical analysis, Preferences, Risk, Simulation, Uncertainty, Vehicles, Decision making, Gaussian distribution

Proceedings Papers

Sequentially Utility Maximizing Path Planning Using a Distributed Pool Architecture

Calahan Mollan, Vijitashwa Pandey, Christopher Slon, David Gorsich

Proc. ASME. IDETC-CIE2021, Volume 3B: 47th Design Automation Conference (DAC), V03BT03A008, August 17–19, 2021

Paper No: DETC2021-67946

DOI: https://doi.org/10.1115/DETC2021-67946

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Topics: Path planning, Vehicles, Failure, Simulation, Decision making, Navigation, Resilience, Soil, Storage, Surface roughness

Proceedings Papers

Reliability-Based Mission Planning of Off-Road Autonomous Ground Vehicles Using an Outcrossing Approach

Chen Jiang, Yixuan Liu, Zhen Hu, Zissimos P. Mourelatos, David Gorsich, Yan Fu

Proc. ASME. IDETC-CIE2021, Volume 3B: 47th Design Automation Conference (DAC), V03BT03A007, August 17–19, 2021

Paper No: DETC2021-67887

DOI: https://doi.org/10.1115/DETC2021-67887

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Topics: Autonomous vehicles, Reliability, Roads, Mechanical admittance, Algorithms, Automated guided vehicles, Path planning, Uncertainty, Vehicles

Journal Articles

Efficient Reliability-Based Mission Planning of Off-Road Autonomous Ground Vehicles Using an Outcrossing Approach

Chen Jiang, Yixuan Liu, Zissimos P. Mourelatos, David Gorsich, Yan Fu, Zhen Hu

J. Mech. Des. April 2022, 144(4): 041703.

Paper No: MD-21-1077

DOI: https://doi.org/10.1115/1.4052511

Published Online: November 11, 2021

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Topics: Mechanical admittance, Reliability, Roads, Vehicles, Automated guided vehicles, Algorithms, Simulation

Proceedings Papers

A Sequential Calibration and Validation Framework for Model Parameter Updating and Bias Correction

Chen Jiang, Yixuan Liu, Zhen Hu, Zissimos P. Mourelatos, David Gorsich, Paramsothy Jayakumar

Proc. ASME. IDETC-CIE2020, Volume 11B: 46th Design Automation Conference (DAC), V11BT11A038, August 17–19, 2020

Paper No: DETC2020-22135

DOI: https://doi.org/10.1115/DETC2020-22135

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Topics: Calibration, Model validation, Computers, Engineering design, Filters, Modeling, Physics, Simulation

Proceedings Papers

Mission Mobility Reliability Analysis of Off-Road Ground Vehicles

Yixuan Liu, Chen Jiang, Zhen Hu, Zissimos P. Mourelatos, Yan Fu, David Gorsich, Paramsothy Jayakumar, Monica Majcher

Proc. ASME. IDETC-CIE2020, Volume 11B: 46th Design Automation Conference (DAC), V11BT11A044, August 17–19, 2020

Paper No: DETC2020-22201

DOI: https://doi.org/10.1115/DETC2020-22201

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Topics: Event history analysis, Mechanical admittance, Roads, Vehicles, Reliability, Simulation, Uncertainty, Modeling, Decision making, Soil

Proceedings Papers

Off-Road Vehicle Path Planning Using Geodesics on a Multifactor Terrain Model

Dakota Barthlow, Vijitashwa Pandey, David Gorsich, Paramsothy Jayakumar

Proc. ASME. IDETC-CIE2020, Volume 11B: 46th Design Automation Conference (DAC), V11BT11A047, August 17–19, 2020

Paper No: DETC2020-22609

DOI: https://doi.org/10.1115/DETC2020-22609

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Topics: Off-road vehicles, Path planning, Mechanical admittance, Modeling, Algorithms, Composite materials, Vehicles, Energy consumption, Gates (Closures), Geometry

Proceedings Papers

Utility Function Derived Off-Road Vehicle Path Planning

Vijitashwa Pandey, Christopher Slon, Calahan Mollan, Dakota Barthlow, David Gorsich, Paramsothy Jayakumar

Proc. ASME. IDETC-CIE2020, Volume 11B: 46th Design Automation Conference (DAC), V11BT11A048, August 17–19, 2020

Paper No: DETC2020-22619

DOI: https://doi.org/10.1115/DETC2020-22619

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Topics: Off-road vehicles, Path planning, Vehicles, Navigation, Algorithms, Feedback, Optimization, Physics, Preferences, Roads

Journal Articles

Simulation-Based Mission Mobility Reliability Analysis of Off-Road Ground Vehicles

Yixuan Liu, Chen Jiang, Zissimos P. Mourelatos, David Gorsich, Paramsothy Jayakumar, Yan Fu, Monica Majcher, Zhen Hu

J. Mech. Des. March 2021, 143(3): 031701.

Paper No: MD-20-1154

DOI: https://doi.org/10.1115/1.4048314

Published Online: October 9, 2020

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Topics: Mechanical admittance, Vehicles, Simulation, Soil, Roads, Reliability, Event history analysis, Uncertainty, Modeling

Proceedings Papers

Testing Design Optimization for Uncertainty Reduction in Generating Off-Road Mobility Map

Zhen Hu, Zissimos P. Mourelatos, David Gorsich, Paramsothy Jayakumar, Monica Majcher

Proc. ASME. IDETC-CIE2019, Volume 2B: 45th Design Automation Conference, V02BT03A041, August 18–21, 2019

Paper No: DETC2019-97685

DOI: https://doi.org/10.1115/DETC2019-97685

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Topics: Design, Mechanical admittance, Optimization, Roads, Testing, Uncertainty, Soil, Vehicles, Errors, Modeling

Journal Articles

Testing Design Optimization for Uncertainty Reduction in Generating Off-Road Mobility Map Using a Bayesian Approach

Zhen Hu, Zissimos P. Mourelatos, David Gorsich, Paramsothy Jayakumar, Monica Majcher

J. Mech. Des. February 2020, 142(2): 021402.

Paper No: MD-19-1188

DOI: https://doi.org/10.1115/1.4044111

Published Online: October 16, 2019

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Topics: Mechanical admittance, Uncertainty, Testing, Roads, Design

Journal Articles

Tensor Train Accelerated Solvers for Nonsmooth Rigid Body Dynamics

Eduardo Corona, David Gorsich, Paramsothy Jayakumar, Shravan Veerapaneni

Appl. Mech. Rev. September 2019, 71(5): 050804.

Paper No: AMR-18-1099

DOI: https://doi.org/10.1115/1.4043324

Published Online: September 19, 2019

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Topics: Compression, Tensors, Trains, Algorithms

Journal Articles

Special Issue on “Autonomous Mobile Systems” in Memory of Professor J. Karl Hedrick

Vladimir Vantsevich, David Gorsich, Junmin Wang, Xiaobo Tan, Manish Kumar, Scott Fish

J. Dyn. Sys., Meas., Control. July 2019, 141(7): 070301.

Paper No: DS-19-1188

DOI: https://doi.org/10.1115/1.4043691

Published Online: May 17, 2019

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Topics: Engineering teachers, Vehicles, Simulation, Unmanned aerial vehicles, Roads, Optimization, Design, Algorithms

Journal Articles

Reliability-Based Design Optimization Using Confidence-Based Model Validation for Insufficient Experimental Data

Min-Yeong Moon, K. K. Choi, Hyunkyoo Cho, Nicholas Gaul, David Lamb, David Gorsich

J. Mech. Des. March 2017, 139(3): 031404.

Paper No: MD-16-1560

DOI: https://doi.org/10.1115/1.4035679

Published Online: January 27, 2017

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Topics: Design, Model validation, Probability, Failure, Simulation models

Proceedings Papers

Reliability-Based Design Optimization Using Confidence-Based Model Validation for Insufficient Experimental Data

Min-Yeong Moon, K. K. Choi, Hyunkyoo Cho, Nicholas Gaul, David Lamb, David Gorsich

Proc. ASME. IDETC-CIE2016, Volume 2B: 42nd Design Automation Conference, V02BT03A054, August 21–24, 2016

Paper No: DETC2016-60155

DOI: https://doi.org/10.1115/DETC2016-60155

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Topics: Model validation, Reliability-based optimization, Design, Simulation models, Uncertainty, Optimization, Physics, Product testing, Reliability

Proceedings Papers

Development of a Conservative Model Validation Approach for Reliable Analysis

Min-Yeong Moon, K. K. Choi, Hyunkyoo Cho, Nicholas Gaul, David Lamb, David Gorsich

Proc. ASME. IDETC-CIE2015, Volume 2B: 41st Design Automation Conference, V02BT03A057, August 2–5, 2015

Paper No: DETC2015-46982

DOI: https://doi.org/10.1115/DETC2015-46982

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Topics: Model validation, Simulation models, Design, Failure, Probability, Simulation, Approximation, Calibration, Event history analysis, Optimization

Proceedings Papers

Incorporating Flexibility in the Design of Repairable Systems: Design of Microgrids

Vijitashwa Pandey, Annette Skowronska, Zissimos P. Mourelatos, David Gorsich, Matthew Castanier

Proc. ASME. IDETC-CIE2014, Volume 2B: 40th Design Automation Conference, V02BT03A045, August 17–20, 2014

Paper No: DETC2014-34294

DOI: https://doi.org/10.1115/DETC2014-34294

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Topics: Design, Microgrids, Complex systems, Maintenance, Optimization, Pareto optimization, Simulation, Stochastic processes, Stress, Time series

Proceedings Papers

Accounting for Test Variability Through Sizing Local Domains in Sequential Design Optimization With Concurrent Calibration-Based Model Validation

Dorin Drignei, Zissimos P. Mourelatos, Vijitashwa Pandey, Michael Kokkolaras, David Gorsich

Proc. ASME. IDETC-CIE2013, Volume 3B: 39th Design Automation Conference, V03BT03A049, August 4–7, 2013

Paper No: DETC2013-12352

DOI: https://doi.org/10.1115/DETC2013-12352

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Topics: Accounting, Calibration, Design, Model validation, Optimization, Pistons

Journal citation

NARROW

Mobility Prediction of Off-Road Ground Vehicles Using a Dynamic Ensemble of NARX Models

Reliability-Based Multivehicle Path Planning Under Uncertainty Using a Bio-Inspired Approach

Value of Information in Multi-Attribute Decisions With Applications in Ground Vehicle Autonomy

Sequentially Utility Maximizing Path Planning Using a Distributed Pool Architecture

Reliability-Based Mission Planning of Off-Road Autonomous Ground Vehicles Using an Outcrossing Approach

Efficient Reliability-Based Mission Planning of Off-Road Autonomous Ground Vehicles Using an Outcrossing Approach

A Sequential Calibration and Validation Framework for Model Parameter Updating and Bias Correction

Mission Mobility Reliability Analysis of Off-Road Ground Vehicles

Off-Road Vehicle Path Planning Using Geodesics on a Multifactor Terrain Model

Utility Function Derived Off-Road Vehicle Path Planning

Simulation-Based Mission Mobility Reliability Analysis of Off-Road Ground Vehicles

Testing Design Optimization for Uncertainty Reduction in Generating Off-Road Mobility Map

Testing Design Optimization for Uncertainty Reduction in Generating Off-Road Mobility Map Using a Bayesian Approach

Tensor Train Accelerated Solvers for Nonsmooth Rigid Body Dynamics

Special Issue on “Autonomous Mobile Systems” in Memory of Professor J. Karl Hedrick

Reliability-Based Design Optimization Using Confidence-Based Model Validation for Insufficient Experimental Data

Reliability-Based Design Optimization Using Confidence-Based Model Validation for Insufficient Experimental Data

Development of a Conservative Model Validation Approach for Reliable Analysis

Incorporating Flexibility in the Design of Repairable Systems: Design of Microgrids

Accounting for Test Variability Through Sizing Local Domains in Sequential Design Optimization With Concurrent Calibration-Based Model Validation

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