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Data Acquisition and Synthesis in Simulation-Based Design with Stochastic Models

Description:

Engineering design is a systematic process of identifying needs and their translation into functional systems. This is a cyclic process that alternates between the acquisition of data and the synthesis of said data to inform design decisions. Conventionally, data from physical experiments are used to explore the efficacy of alternative...

Keyword:

Uncertainty quantification, Design, Decision making, Machine learning, Data acquisition, and Data synthesis

Subject:

Design and Mechanical engineering

Creator:

van Beek, Anton

Owner:

Scholarly Digital Publishing

Language:

en

Date Uploaded:

02/02/2022

Date Created:

2021-01-01

Resource Type:

Dissertation

Alternate Identifier:

etdadmin_upload_861337 and http://dissertations.umi.com/northwestern:15848
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

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Data Acquisition and Synthesis in Simulation-Based Design with Stochastic Models

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