Search Results | IMECE | ASME Digital Collection

1-20 of 35

Sort by

Sort Order Select

Proceedings Papers

Uncertainty Quantification in Material Properties of Additively Manufactured Materials for Application in Topology Optimization

Proc. ASME. IMECE2022, Volume 3: Advanced Materials: Design, Processing, Characterization and Applications; Advances in Aerospace Technology, V003T04A009, October 30–November 3, 2022

Paper No: IMECE2022-95195

DOI: https://doi.org/10.1115/IMECE2022-95195

View Paper

Topics: Additive manufacturing, Machine learning, Materials properties, Topology optimization, Uncertainty quantification, Elastic moduli, Chaos, Young's modulus, Algorithms, Design

Proceedings Papers

Uncertainty Quantification on Galvanic Corrosion Based on Adaptive Surrogate Modeling

Parth Bansal, Zhuoyuan Zheng, Yumeng Li

Proc. ASME. IMECE2022, Volume 9: Mechanics of Solids, Structures, and Fluids; Micro- and Nano-Systems Engineering and Packaging; Safety Engineering, Risk, and Reliability Analysis; Research Posters, V009T12A005, October 30–November 3, 2022

Paper No: IMECE2022-95333

DOI: https://doi.org/10.1115/IMECE2022-95333

View Paper

Topics: Corrosion, Electrolytic corrosion, Machine learning, Metamodeling, Physics, Resilience, Uncertainty quantification

Proceedings Papers

Uncertainty Quantification of SB LOCA With CSAU Using Optimal Statistical Estimator

Andrej Prošek, Borut Mavko

Proc. ASME. IMECE98, Nuclear Engineering, 15-21, November 15–20, 1998

Paper No: IMECE1998-1129

DOI: https://doi.org/10.1115/IMECE1998-1129

View Paper

Topics: Uncertainty quantification, Uncertainty, Accidents, Coolants, Safety, Algorithms, Cladding systems (Building), Computers, Pressurized water reactors, Response surface methodology

Proceedings Papers

Performance of Iterative Network Uncertainty Quantification for Multicomponent System Qualification

Edward Rojas, John Tencer

Proc. ASME. IMECE2021, Volume 13: Safety Engineering, Risk, and Reliability Analysis; Research Posters, V013T14A031, November 1–5, 2021

Paper No: IMECE2021-72345

DOI: https://doi.org/10.1115/IMECE2021-72345

View Paper

Topics: Uncertainty quantification

Proceedings Papers

Uncertainty Quantification in Predicting Behaviour of Rubber-Like Materials in Uni-Axial Loading

Aref Ghaderi, Vahid Morovati, Pouyan Nasiri, Roozbeh Dargazany

Proc. ASME. IMECE2020, Volume 12: Mechanics of Solids, Structures, and Fluids, V012T12A006, November 16–19, 2020

Paper No: IMECE2020-24200

DOI: https://doi.org/10.1115/IMECE2020-24200

View Paper

Topics: Rubber, Uncertainty quantification, Uncertainty, Constitutive equations, Elastomers, Noise (Sound), Errors, Machine learning, Modeling, Performance

Proceedings Papers

Measurement Errors and Uncertainty Estimation of an Experimental Set Up Using a 2D PIV Technique

Flávia V. Barbosa, Carlos A. P. Costa, Senhorinha F. C. F. Teixeira, José C. F. Teixeira

Proc. ASME. IMECE2019, Volume 8: Heat Transfer and Thermal Engineering, V008T09A079, November 11–14, 2019

Paper No: IMECE2019-11652

DOI: https://doi.org/10.1115/IMECE2019-11652

View Paper

Topics: Errors, Uncertainty, Flow (Dynamics), Air jets, Heat transfer, Particulate matter, Reliability, Uncertainty quantification, Calibration, Computer simulation

Proceedings Papers

Uncertainty Quantification of Wind Turbine Wakes Under Random Wind Conditions

Tássia Penha Pereira, Stephen Ekwaro-Osire, João Paulo Dias, Nicholas J. Ward, Americo Cunha, Jr.

Proc. ASME. IMECE2019, Volume 13: Safety Engineering, Risk, and Reliability Analysis, V013T13A022, November 11–14, 2019

Paper No: IMECE2019-11872

DOI: https://doi.org/10.1115/IMECE2019-11872

View Paper

Topics: Reliability, Uncertainty quantification, Wakes, Wind, Wind energy, Wind turbines

Proceedings Papers

Probabilistic Design and Uncertainty Quantification of the Structure of a Monopile Offshore Wind Turbine

Abraham Nispel, Stephen Ekwaro-Osire, João Paulo Dias, Americo Cunha, Jr.

Proc. ASME. IMECE2019, Volume 13: Safety Engineering, Risk, and Reliability Analysis, V013T13A021, November 11–14, 2019

Paper No: IMECE2019-11862

DOI: https://doi.org/10.1115/IMECE2019-11862

View Paper

Topics: Design, Offshore wind turbines, Reliability, Uncertainty quantification

Proceedings Papers

Simulation Model Uncertainty Quantification and Model Calibration for Natural Gas Compressor Units

Tingting Wei, Dengji Zhou, Qinbo Yao, Huisheng Zhang, Zhenhua Lu

Proc. ASME. IMECE2019, Volume 6: Energy, V006T06A057, November 11–14, 2019

Paper No: IMECE2019-11227

DOI: https://doi.org/10.1115/IMECE2019-11227

View Paper

Topics: Calibration, Compressors, Natural gas, Simulation models, Uncertainty quantification

Proceedings Papers

Computational Design of Microstructures With Stochastic Property Closures

Pınar Acar

Proc. ASME. IMECE2019, Volume 1: Advances in Aerospace Technology, V001T03A016, November 11–14, 2019

Paper No: IMECE2019-10531

DOI: https://doi.org/10.1115/IMECE2019-10531

View Paper

Topics: Design, Uncertainty, Materials properties, Stiffness, Algorithms, Anisotropy, Deformation, Linear programming, Modeling, Physics

Proceedings Papers

Uncertainty Quantification of Artificial Neural Network Based Machine Learning Potentials

Yumeng Li, Weirong Xiao, Pingfeng Wang

Proc. ASME. IMECE2018, Volume 12: Materials: Genetics to Structures, V012T11A030, November 9–15, 2018

Paper No: IMECE2018-88071

DOI: https://doi.org/10.1115/IMECE2018-88071

View Paper

Topics: Artificial neural networks, Machine learning, Uncertainty quantification, Design, Simulation, Uncertainty, Materials science, Molecular dynamics simulation, Potential energy, Titanium

Proceedings Papers

Integrating an Analytical Uncertainty Quantification Approach to Multi-Scale Modeling of Nanocomposites

Pınar Acar

Proc. ASME. IMECE2018, Volume 12: Materials: Genetics to Structures, V012T11A039, November 9–15, 2018

Paper No: IMECE2018-86227

DOI: https://doi.org/10.1115/IMECE2018-86227

View Paper

Topics: Multiscale modeling, Nanocomposites, Uncertainty quantification, Single-walled nanotubes, Uncertainty, Epoxy adhesives, Epoxy resins, Algorithms, Computer simulation, Mechanical properties

Proceedings Papers

Uncertainty Quantification of Edwards High-Pressure Pipe Behavior Using Complex System Thermal-Hydraulics Codes

Mojtaba Raheli Kaleibar, Mohammad Pourgol-Mohammad, Rahim Khoshbakhti Saray, Seyed Mohsen Hoseyni

Proc. ASME. IMECE2018, Volume 4B: Dynamics, Vibration, and Control, V04BT06A017, November 9–15, 2018

Paper No: IMECE2018-88053

DOI: https://doi.org/10.1115/IMECE2018-88053

View Paper

Topics: Complex systems, High pressure (Physics), Pipes, Thermal hydraulics, Uncertainty quantification, Uncertainty, Boundary-value problems, Computation, Dimensions, Errors

Proceedings Papers

Efficient Uncertainty Quantification for Biotransport in Tumors With Uncertain Material Properties

Alen Alexanderian, William Reese, Ralph C. Smith, Meilin Yu

Proc. ASME. IMECE2018, Volume 3: Biomedical and Biotechnology Engineering, V003T04A033, November 9–15, 2018

Paper No: IMECE2018-86216

DOI: https://doi.org/10.1115/IMECE2018-86216

View Paper

Topics: Biotransport, Materials properties, Tumors, Uncertainty quantification, Permeability, Pressure, Porous materials, Dimensions, Flow (Dynamics), Fluid dynamics

Proceedings Papers

Uncertainty Propagation for Ring-Based Vibratory MEMS Gyroscopes Under Random Input Angular Speed Fluctuation

Nujhat Abedin, Samuel F. Asokanthan

Proc. ASME. IMECE2017, Volume 4B: Dynamics, Vibration, and Control, V04BT05A041, November 3–9, 2017

Paper No: IMECE2017-71787

DOI: https://doi.org/10.1115/IMECE2017-71787

View Paper

Topics: Microelectromechanical systems, Uncertainty, Uncertainty quantification, Simulation, Statistics, Design, Dynamic models, Micromachining, Q-factor, Sensors

Proceedings Papers

A Relevance Vector Regression Based Uncertainty Quantification Method for Robustness Design

Chong Chen, Zhenfei Zhan, Huili Yu, Hui Zhao

Proc. ASME. IMECE2017, Volume 4B: Dynamics, Vibration, and Control, V04BT05A042, November 3–9, 2017

Paper No: IMECE2017-71842

DOI: https://doi.org/10.1115/IMECE2017-71842

View Paper

Topics: Design, Robustness, Uncertainty quantification, Uncertainty, Optimization, Accounting, Computer simulation, Probability

Proceedings Papers

Uncertainty Quantification for Laser Ablation of Aluminum

Yeqing Wang, Getachew K. Befekadu, Crystal L. Pasiliao

Proc. ASME. IMECE2017, Volume 2: Advanced Manufacturing, V002T02A013, November 3–9, 2017

Paper No: IMECE2017-70625

DOI: https://doi.org/10.1115/IMECE2017-70625

View Paper

Topics: Aluminum, Laser ablation, Uncertainty quantification, Lasers, Uncertainty, Heat conduction, Ablation (Vaporization technology), Approximation, Chaos, Computer simulation

Proceedings Papers

Response Analysis of a Circular Cylinder Undergoing Vortex Induced Vibrations Along Two Degrees of Freedom in the Presence of Noise

M. S. Aswathy, Sunetra Sarkar

Proc. ASME. IMECE2017, Volume 4B: Dynamics, Vibration, and Control, V04BT05A007, November 3–9, 2017

Paper No: IMECE2017-71168

DOI: https://doi.org/10.1115/IMECE2017-71168

View Paper

Topics: Circular cylinders, Degrees of freedom, Noise (Sound), Vortex-induced vibration, Flow (Dynamics), Modeling, Oscillations, Fluctuations (Physics), Bifurcation, Chaos

Proceedings Papers

Can-Crush Model and Simulations for Verifying Uncertainty Quantification Method for Sparse Stress-Strain Curve Data

J. F. Dempsey, V. Romero, N. Breivik, G. Orient, B. Antoun, B. Schroeder, J. Lewis, J. Winokur

Proc. ASME. IMECE2016, Volume 9: Mechanics of Solids, Structures and Fluids; NDE, Diagnosis, and Prognosis, V009T12A005, November 11–17, 2016

Paper No: IMECE2016-65245

DOI: https://doi.org/10.1115/IMECE2016-65245

View Paper

Topics: Engineering simulation, Simulation, Stress-strain curves, Uncertainty quantification, Constitutive equations, Damage, Deformation, Dynamics (Mechanics), Finite element model, Materials testing

Proceedings Papers

An Enhanced Surrogate Model Based Vehicle Robust Design Method Under Materials and Manufacturing Uncertainties

Jie Li, Yudong Fang, Zhenfei Zhan, Yazhou Jiang

Proc. ASME. IMECE2016, Volume 11: Systems, Design, and Complexity, V011T15A015, November 11–17, 2016

Paper No: IMECE2016-67714

DOI: https://doi.org/10.1115/IMECE2016-67714

View Paper

Topics: Design methodology, Manufacturing, Uncertainty, Vehicles, Design, Automotive design, Design theory, Materials properties, Maximum likelihood estimation, Optimization

NARROW

Uncertainty Quantification in Material Properties of Additively Manufactured Materials for Application in Topology Optimization

Uncertainty Quantification on Galvanic Corrosion Based on Adaptive Surrogate Modeling

Uncertainty Quantification of SB LOCA With CSAU Using Optimal Statistical Estimator

Performance of Iterative Network Uncertainty Quantification for Multicomponent System Qualification

Uncertainty Quantification in Predicting Behaviour of Rubber-Like Materials in Uni-Axial Loading

Measurement Errors and Uncertainty Estimation of an Experimental Set Up Using a 2D PIV Technique

Uncertainty Quantification of Wind Turbine Wakes Under Random Wind Conditions

Probabilistic Design and Uncertainty Quantification of the Structure of a Monopile Offshore Wind Turbine

Simulation Model Uncertainty Quantification and Model Calibration for Natural Gas Compressor Units

Computational Design of Microstructures With Stochastic Property Closures

Uncertainty Quantification of Artificial Neural Network Based Machine Learning Potentials

Integrating an Analytical Uncertainty Quantification Approach to Multi-Scale Modeling of Nanocomposites

Uncertainty Quantification of Edwards High-Pressure Pipe Behavior Using Complex System Thermal-Hydraulics Codes

Efficient Uncertainty Quantification for Biotransport in Tumors With Uncertain Material Properties

Uncertainty Propagation for Ring-Based Vibratory MEMS Gyroscopes Under Random Input Angular Speed Fluctuation

A Relevance Vector Regression Based Uncertainty Quantification Method for Robustness Design

Uncertainty Quantification for Laser Ablation of Aluminum

Response Analysis of a Circular Cylinder Undergoing Vortex Induced Vibrations Along Two Degrees of Freedom in the Presence of Noise

Can-Crush Model and Simulations for Verifying Uncertainty Quantification Method for Sparse Stress-Strain Curve Data

An Enhanced Surrogate Model Based Vehicle Robust Design Method Under Materials and Manufacturing Uncertainties

Journals

Conference Proceedings

eBooks

Resources

Opportunities

Journals

Conference Proceedings

eBooks

Resources

Opportunities

This Feature Is Available To Subscribers Only