Metamodel-Based Multidisciplinary Design Optimization of Automotive Structures.
| Main Author: | |
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| Format: | eBook |
| Language: | English |
| Published: |
Linköping :
Linkopings Universitet,
2017.
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| Edition: | 1st ed. |
| Series: | Linköping Studies in Science and Technology. Dissertations Series
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| Subjects: | |
| Online Access: | Click to View |
Table of Contents:
- Intro
- Preface
- Abstract
- Populärvetenskaplig sammanfattning
- List of Papers
- Contents
- Part I
- 1. Introduction
- 1.1 Scope of Work
- 1.2 Outline
- 2. Structural Optimization
- 2.1 Multi-Objective Optimization
- 2.2 Optimization Under Uncertainties
- 2.3 Multidisciplinary Design Optimization
- 2.4 Metamodel-Based Design Optimization
- 2.5 Optimization Algorithms
- 2.6 Topology Optimization
- 3.1 Design of Experiments
- 3.1.1 Latin Hypercube Designs
- 3.1.2 Distance-Based Designs
- 3.1.3 Sequential Sampling
- 3.2 Metamodels
- 3.2.1 Feedforward Neural Networks
- 3.2.2 Radial Basis Function Neural Networks
- 3.3 Metamodel Validation
- 3.3.1 Error Measures
- 3.3.2 Cross Validation
- 3.3.3 Generalized Cross Validation
- 4. Multidisciplinary Design Optimization
- 4.1 Single-Level Methods
- 4.2 Multi-Level Methods
- 4.3 An MDO Process for Automotive Structures
- 5. Support Vector Machines
- 5.1 SVM Decision Boundary
- 5.2 SVMs to Improve Metamodel Accuracy
- 6. Summary of Appended Papers
- Paper I
- Paper II
- Paper III
- Paper IV
- Paper V
- 7. Conclusions and Outlook
- References.