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Dimitrios Papadimitriou
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Journal Articles

Nonlinear Random Vibrations Using Second-Order Adjoint and Projected Differentiation Methods

Dimitrios Papadimitriou, Zissimos P. Mourelatos, Zhen Hu
Journal: Journal of Vibration and Acoustics
Publisher: ASME
Article Type: Research Papers
J. Vib. Acoust. October 2022, 144(5): 051001.
Paper No: VIB-21-1297
https://doi.org/10.1115/1.4054033
Published Online: March 18, 2022
View Article titled, Nonlinear Random Vibrations Using Second-Order Adjoint and Projected Differentiation Methods
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Topics: Equations of motion, Excitation, Random vibration, Stochastic processes, Simulation
Proceedings Papers

Non-Linear Random Vibrations Using Second-Order Adjoint and Projected Differentiation Methods

Dimitrios Papadimitriou, Zissimos P. Mourelatos, Zhen Hu
Proc. ASME. IDETC-CIE2021, Volume 9: 17th International Conference on Multibody Systems, Nonlinear Dynamics, and Control (MSNDC), V009T09A046, August 17–19, 2021
Publisher: American Society of Mechanical Engineers
Paper No: DETC2021-69685
https://doi.org/10.1115/DETC2021-69685
View Paper titled, Non-Linear Random Vibrations Using Second-Order Adjoint and Projected Differentiation Methods
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Topics: Random vibration, Stochastic processes, Equations of motion, Random excitation, Simulation
Journal Articles

Reliability Analysis and Random Vibration of Nonlinear Systems Using the Adjoint Method and Projected Differentiation

Dimitrios Papadimitriou, Zissimos P. Mourelatos, Zhen Hu
Journal: Journal of Mechanical Design
Publisher: ASME
Article Type: Research Papers
J. Mech. Des. June 2021, 143(6): 061705.
Paper No: MD-20-1288
https://doi.org/10.1115/1.4048958
Published Online: December 17, 2020
View Article titled, Reliability Analysis and Random Vibration of Nonlinear Systems Using the Adjoint Method and Projected Differentiation
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Topics: Event history analysis, Failure, Nonlinear systems, Probability, Random vibration, Reliability, Simulation, Stochastic processes, Degrees of freedom
Proceedings Papers

Reliability Analysis and Random Vibration of Nonlinear Systems Using the Adjoint Method and Projected Differentiation

Dimitrios Papadimitriou, Zissimos P. Mourelatos, Zhen Hu
Proc. ASME. IDETC-CIE2020, Volume 11B: 46th Design Automation Conference (DAC), V11BT11A042, August 17–19, 2020
Publisher: American Society of Mechanical Engineers
Paper No: DETC2020-22165
https://doi.org/10.1115/DETC2020-22165
View Paper titled, Reliability Analysis and Random Vibration of Nonlinear Systems Using the Adjoint Method and Projected Differentiation
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Topics: Event history analysis, Nonlinear systems, Random vibration, Stochastic processes, Simulation, Degrees of freedom, Nonlinear equations, Reliability
Journal Articles

Reliability Analysis of Nonlinear Vibratory Systems Under Non-Gaussian Loads Using a Sensitivity-Based Propagation of Moments

Dimitrios Papadimitriou, Zissimos P. Mourelatos, Santosh Patil, Zhen Hu, Vasiliki Tsianika, Vasileios Geroulas
Journal: Journal of Mechanical Design
Publisher: ASME
Article Type: Research Papers
J. Mech. Des. June 2020, 142(6): 061704.
Paper No: MD-19-1222
https://doi.org/10.1115/1.4046070
Published Online: March 3, 2020
View Article titled, Reliability Analysis of Nonlinear Vibratory Systems Under Non-Gaussian Loads Using a Sensitivity-Based Propagation of Moments
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Topics: Approximation, Event history analysis, Failure, Probability, Simulation, Stochastic processes, Equations of motion, Stress
Proceedings Papers

Reliability Analysis of Nonlinear Vibratory Systems Under Non-Gaussian Loads Using a Sensitivity-Based Propagation of Moments

Dimitrios Papadimitriou, Zissimos P. Mourelatos, Santosh Patil, Zhen Hu, Vasiliki Tsianika, Vasileios Geroulas
Proc. ASME. IDETC-CIE2019, Volume 2B: 45th Design Automation Conference, V02BT03A033, August 18–21, 2019
Publisher: American Society of Mechanical Engineers
Paper No: DETC2019-97158
https://doi.org/10.1115/DETC2019-97158
View Paper titled, Reliability Analysis of Nonlinear Vibratory Systems Under Non-Gaussian Loads Using a Sensitivity-Based Propagation of Moments
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Topics: Event history analysis, Stress, Stochastic processes, Equations of motion, Failure, Probability, Simulation
Proceedings Papers

Collision-Avoidance Reliability Analysis of Autonomous Vehicle Based on Adaptive Kriging Surrogate Modeling

Yixuan Liu, Ying Zhao, Zhen Hu, Zissimos P. Mourelatos, Dimitrios Papadimitriou
Proc. ASME. IDETC-CIE2019, Volume 2B: 45th Design Automation Conference, V02BT03A016, August 18–21, 2019
Publisher: American Society of Mechanical Engineers
Paper No: DETC2019-97490
https://doi.org/10.1115/DETC2019-97490
View Paper titled, Collision-Avoidance Reliability Analysis of Autonomous Vehicle Based on Adaptive Kriging Surrogate Modeling
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Topics: Collisions (Physics), Event history analysis, Modeling, Vehicles, Uncertainty, Traffic, Reliability, Braking, Control equipment, Databases
Journal Articles

Collision-Avoidance Reliability Analysis of Automated Vehicle Based on Adaptive Surrogate Modeling

Yixuan Liu, Ying Zhao, Zhen Hu, Zissimos P. Mourelatos, Dimitrios Papadimitriou
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 2019, 5(2): 020906.
Paper No: RISK-18-1065
https://doi.org/10.1115/1.4042974
Published Online: April 15, 2019
View Article titled, Collision-Avoidance Reliability Analysis of Automated Vehicle Based on Adaptive Surrogate Modeling
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Topics: Collisions (Physics), Event history analysis, Modeling, Uncertainty, Vehicles, Reliability
Proceedings Papers

Reliability-Based Topology Optimization Using Mean-Value Second-Order Saddlepoint Approximation

Dimitrios Papadimitriou, Zissimos P. Mourelatos
Proc. ASME. IDETC-CIE2017, Volume 2B: 43rd Design Automation Conference, V02BT03A049, August 6–9, 2017
Publisher: American Society of Mechanical Engineers
Paper No: DETC2017-67312
https://doi.org/10.1115/DETC2017-67312
View Paper titled, Reliability-Based Topology Optimization Using Mean-Value Second-Order Saddlepoint Approximation
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Topics: Approximation, Optimization, Reliability, Topology, Failure, Probability, Simulation