This paper presents a study of multi-objective optimization of elastic beams with minimum weight and radiated sound power. The goal of this research 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 (MOP). 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.
Multi-Objective Optimization of Elastic Beams for Noise Reduction
School of Engineering,
University of California,
Merced, CA 95343;
Department of Mechanics,
Tianjin 300072, China
Contributed by the Noise Control and Acoustics Division of ASME for publication in the JOURNAL OF VIBRATION AND ACOUSTICS. Manuscript received November 12, 2016; final manuscript received May 1, 2017; published online July 13, 2017. Assoc. Editor: Nicole Kessissoglou.
He, M., Xiong, F., and Sun, J. (July 13, 2017). "Multi-Objective Optimization of Elastic Beams for Noise Reduction." ASME. J. Vib. Acoust. October 2017; 139(5): 051014. https://doi.org/10.1115/1.4036680
Download citation file: