Items related to Non-Linear Optimization of Vehicle Safety Structures:...
Non-Linear Optimization of Vehicle Safety Structures: Modeling of Structures Subjected to Large Deformations - Hardcover
Non-linear Optimization of Vehicle Safety Structures provides a cutting edge overview of the latest optimization methods for vehicle structural design. Focusing on large deformation structural optimization algorithms and applications, the book covers the basic principles of modern day topology optimisation and compares the benefits and flaws of different algorithms in use. The complications of non-linear optimization are highlighted, along with the shortcomings of recently proposed algorithms. Using industry relevant case studies, the book demonstrates how optimization software can be used to address challenging vehicle safety structure problems and explores the limitations of the approaches given. The authors draw on research work with the likes of MIRA, Jaguar Land Rover and Tata Motors European Technology Centre as part of multi-million pound European funded research projects, emphasising the industry applications of recent advances. Intended for crash engineers, restraints system engineers and vehicle dynamics engineers, as well as other mechanical, automotive and aerospace engineers, researchers and students with a structural focus, Non-linear Optimization of Vehicle Safety Structures is an essential structural optimization resource that puts the latest research findings to work for practical results. . Focuses on non-linear, large deformation structural optimization problems relating to vehicle safety. . Discusses the limitations of different algorithms in use and offers guidance on best practice approaches through the use of relevant case studies. . Author team at the cutting edge of industry research with some of the leading European automotive companies and organizations.
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- PublisherButterworth-Heinemann Ltd
- Publication date2015
- ISBN 10 0124172970
- ISBN 13 9780124172975
- BindingHardcover
- Number of pages448
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