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Multidisciplinary and Dynamic Decisions in Simulation-Based Design

Description:

Modern design practices rely more and more on computer simulations due to their low cost compared with physical experiments. However, it is still an elusive task to fully unleash the advantages of the simulation models while mitigating their disadvantages for designing complex engineering systems. In simulation-based design, computer simulation models...

Keyword:

Design optimization, Bayesian optimization, Uncertainty quantification, Simulation-based design, Model calibration, and Multidisciplinary design

Subject:

Statistics, Design, and Mechanical engineering

Creator:

Tao, Siyu

Owner:

Scholarly Digital Publishing

Language:

en

Date Uploaded:

02/01/2021

Date Created:

2020-01-01

Resource Type:

Dissertation

Alternate Identifier:

etdadmin_upload_773686 and http://dissertations.umi.com/northwestern:15350
Quantification of Microstructure Induced Uncertainty in Multiscale Materials with Random Processes

Description:

The heart of computational materials science lies in providing fundamental insights and understanding of materials behavior and properties across different scales. The significance of this task is highlighted by the Materials Genome Initiative and the emergence of computational tools and frameworks such as materials by design, microstructure sensitive design, and...

Keyword:

random Process, Multiscale simulation, Microstructure, Gaussian process, and Uncertainty

Subject:

Materials Science, Statistics, and Mechanical engineering

Creator:

Bostanabad, Ramin

Owner:

Scholarly Digital Publishing

Language:

en

Date Uploaded:

02/12/2020

Date Created:

2019-01-01

Resource Type:

Dissertation

Alternate Identifier:

http://dissertations.umi.com/northwestern:14508 and etdadmin_upload_638165

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