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Proceedings Papers

Extrapolation With Gaussian Random Processes and Evolutionary Programming

Robert Planas, Nicholas Oune, Ramin Bostanabad
Proc. ASME. IDETC-CIE2020, Volume 11A: 46th Design Automation Conference (DAC), V11AT11A004, August 17–19, 2020
Publisher: American Society of Mechanical Engineers
Paper No: DETC2020-22381
https://doi.org/10.1115/DETC2020-22381
View Paper titled, Extrapolation With Gaussian Random Processes and Evolutionary Programming
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Topics: Computer programming, Maximum likelihood estimation, Stochastic processes
Proceedings Papers

A Comparison of Numerical Optimizers in Developing High Dimensional Surrogate Models

Yanwen Xu, Pingfeng Wang
Proc. ASME. IDETC-CIE2019, Volume 2B: 45th Design Automation Conference, V02BT03A037, August 18–21, 2019
Publisher: American Society of Mechanical Engineers
Paper No: DETC2019-97499
https://doi.org/10.1115/DETC2019-97499
View Paper titled, A Comparison of Numerical Optimizers in Developing High Dimensional Surrogate Models
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Topics: Computation, Design, Dimensions, Engineering design, Maximum likelihood estimation, Modeling, Optimization, Quadratic programming, Robustness, Simulation
Proceedings Papers

Optimization of Wind Turbine Blades Considering the Specific Wind

Yuqiao Zheng, Zhe He, Yongyong Cao, Chengcheng Zhang
Proc. ASME. IDETC-CIE2017, Volume 4: 22nd Design for Manufacturing and the Life Cycle Conference; 11th International Conference on Micro- and Nanosystems, V004T05A018, August 6–9, 2017
Publisher: American Society of Mechanical Engineers
Paper No: DETC2017-67423
https://doi.org/10.1115/DETC2017-67423
View Paper titled, Optimization of Wind Turbine Blades Considering the Specific Wind
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Topics: Blades, Optimization, Wind, Wind turbines, Design, Wind energy, Chords (Trusses), Genetic algorithms, Girders, Maximum likelihood estimation
Proceedings Papers

A Point Cloud-Based Method for Object Alignment Verification for Augmented Reality Applications

Rafael Radkowski
Proc. ASME. IDETC-CIE2015, Volume 1B: 35th Computers and Information in Engineering Conference, V01BT02A059, August 2–5, 2015
Publisher: American Society of Mechanical Engineers
Paper No: DETC2015-47842
https://doi.org/10.1115/DETC2015-47842
View Paper titled, A Point Cloud-Based Method for Object Alignment Verification for Augmented Reality Applications
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Topics: Errors, Fittings, Manufacturing, Maximum likelihood estimation, Probability, Simulation
Proceedings Papers

Concurrent Design Optimization and Calibration-Based Validation Using Local Domains Sized by Bootstrapping

Dorin Drignei, Zissimos P. Mourelatos, Vijitashwa Pandey, Michael Kokkolaras
Proc. ASME. IDETC-CIE2012, Volume 3: 38th Design Automation Conference, Parts A and B, 1167-1177, August 12–15, 2012
Publisher: American Society of Mechanical Engineers
Paper No: DETC2012-70423
https://doi.org/10.1115/DETC2012-70423
View Paper titled, Concurrent Design Optimization and Calibration-Based Validation Using Local Domains Sized by Bootstrapping
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Topics: Calibration, Design, Optimization, Gaussian distribution, Errors, Maximum likelihood estimation, Model validation, Optimization algorithms, Simulation
Proceedings Papers

A Framework for Uncertainty Quantification in Nonlinear Multi-Body System Dynamics

M. Datar, D. Negrut, D. Gorsich, D. Lamb
Proc. ASME. IDETC-CIE2009, Volume 4: 7th International Conference on Multibody Systems, Nonlinear Dynamics, and Control, Parts A, B and C, 1979-1987, August 30–September 2, 2009
Publisher: American Society of Mechanical Engineers
Paper No: DETC2009-86286
https://doi.org/10.1115/DETC2009-86286
View Paper titled, A Framework for Uncertainty Quantification in Nonlinear Multi-Body System Dynamics
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Topics: Aerodynamics, Dynamic systems, Dynamics (Mechanics), Fluid-dynamic forces, Friction, Maximum likelihood estimation, Roads, Statistics, Stochastic processes, System dynamics
Proceedings Papers

Using Maximum Likelihood Estimation to Estimate Kriging Model Parameters

Jay D. Martin
Proc. ASME. IDETC-CIE2007, Volume 6: 33rd Design Automation Conference, Parts A and B, 663-673, September 4–7, 2007
Publisher: American Society of Mechanical Engineers
Paper No: DETC2007-34662
https://doi.org/10.1115/DETC2007-34662
View Paper titled, Using Maximum Likelihood Estimation to Estimate Kriging Model Parameters
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Topics: Maximum likelihood estimation, Algorithms, Optimization, Simulation, Statistics
Proceedings Papers

On the Use of Kriging Models to Approximate Deterministic Computer Models

Jay D. Martin, Timothy W. Simpson
Proc. ASME. IDETC-CIE2004, Volume 1: 30th Design Automation Conference, 481-492, September 28–October 2, 2004
Publisher: American Society of Mechanical Engineers
Paper No: DETC2004-57300
https://doi.org/10.1115/DETC2004-57300
View Paper titled, On the Use of Kriging Models to Approximate Deterministic Computer Models
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Topics: Computers, Maximum likelihood estimation, Algorithms, Approximation, Design, Errors, Optimization, Parameter estimation