Abstract
This chapter presents a study of multi-objective optimization of elastic beams with minimum weight and radiated sound power. The goal is to discover the potentials to design multi-objective optimal elastic structures for better acoustic performance. We discuss various structural-acoustic properties of the Pareto solutions of the multi-objective optimization problem. We have found that geometrical and dynamic constraints can substantially reduce the volume fraction of feasible solutions in the design space, which can make it difficult to search for the optimal solutions. Several case studies with different boundary conditions are studied to demonstrate the multi-objective optimal designs of the structure.
Keywords
- Acoustic Performance
- Multi-objective Particle Swarm Optimization (MOPSO)
- MOPSO Algorithm
- High Dimensional MOPs
- Timoshenko Beam
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.
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© 2019 Springer Nature Singapore Pte Ltd.
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Sun, JQ., Xiong, FR., Schütze, O., Hernández, C. (2019). Multi-objective Optimal Structure Design. In: Cell Mapping Methods . Springer, Singapore. https://doi.org/10.1007/978-981-13-0457-6_11
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DOI: https://doi.org/10.1007/978-981-13-0457-6_11
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Publisher Name: Springer, Singapore
Print ISBN: 978-981-13-0456-9
Online ISBN: 978-981-13-0457-6
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