Zusammenfassung
The work at hand addresses engineers, designers and scientists who face the challenging Task of devising concept structures in a virtual product design process that involves more and more sophisticated physical simulations. Using methods of evolutionary optimization and machine learning, this dissertation explores a novel generic topology optimization algorithm, which is able to provide concept designs even for problems involving complex, black-box simulations. A self-contained learning component utilizes physical simulation data to generate a search direction. The generic topology optimization is studied in conjunction with statistical models such as neural networks or support vector regression. In empirical experiments, the novel method reproduces reference structures with Minimum compliance and provides innovative solutions in the domain of vehicle crashworthiness optimization.
Contents
Symbols and Abbreviations XIV
Abstract XVII
Zusammenfassung XVIII
1 Introduction 1
2 Fundamentals...
Schlagworte
Topology Optimization Concept Design Local State Features Evolutionary / Computation Design Sensitivities Prediction Machine Learning Vehicle Crashworthiness- Kapitel Ausklappen | EinklappenSeiten
- 8–28 2 Fundamentals 8–28
- 150–154 7 Conclusions 150–154
- 155–160 A Theory 155–160
- 172–176 C Crashworthiness 172–176
- 177–202 Bibliography 177–202
7 Treffer gefunden
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- „... of constraints. Modern product-development processes use computational design and engineering tools ...” „... engineering methods a standard in the automotive and other industries. Increasing computing power results in ...” „... replaces experience-based engineering practices. Many engineering problems can be addressed as optimization ...”
- „... , objective functions that formalize engineering targets usually contain numerical noise and considerable ...” „... rules from engineering crash experts: for instance “Support Fast Deforming Walls”, or “Balance Energy ...” „... from an engineering perspective for instance minimizing compliance [190, 191]. The working principle ...”
- „... linear regression model is considered. Linear regression is commonly used in engineering, often as ...”
- „... purpose of engineering form optimization problems. The representation not only determines the ...” „... ]. Practical engineering design optimization problems that are often involve black-box simulations are ...”
- „... engineering design optimization. Due to their robustness and generality they are a good choice for problems ...” „... problems as occurring frequently in real-world engineering design optimization. In ES, this allows for ...”
- „... is not new and, for instance, used in surrogate-assisted optimization for engineering [65, 96 ...”