Optimization of Composite Structures with Thin Rigid Fibers Using Bioinspired Algorithms
Source abstract
Abstract
The paper deals with an application of the artificial immune system (AIS) and the particle swarm optimizer (PSO) to the optimization of composites with thin rigid fibers. The boundary value problem is solved using the boundary element method (BEM). The numerical examples demonstrate the optimization of the distribution and orientation of fibers in a composite. The objective functions depend on effective elastic properties. Two separate independent optimization methods are used to confirm the correctness of the obtained results (AIS and PSO). The bioinspired approach shows that the method based on the artificial immune system or particle swarm optimizer is an efficient technique for solving computer-aided optimal design problems (maximalization of the Young’s modulus or Poisson’s ratio) and allows for the development of new materials.
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Research context
OpenAlex topics: Advanced Multi-Objective Optimization Algorithms · Artificial Immune Systems Applications · Vibration and Dynamic Analysis
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
Faculty of Mechanical Engineering, Silesian University of Technology, Konarskiego 18A, 44-100 Gliwice, Poland
Funding
National Science Centre
References (47)
Show source-provided references
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