Green design and multidisciplinary optimization of carbon nanotube composite structures
Document typeConference report
PublisherUniversidad de las Palmas de Gran Canaria
Rights accessOpen Access
This work develops a multi-objective design optimisation method for Carbon Nanotube Composite Structures (CNTCSs) using Genetic Algorithm and Finite Element Analysis (FEA). Two design problems are considered: the first is an optimisation problem to improve the mechanical properties (weight-displacement) of the CNTCSs, minimizing the Not Adherence Green Design Principles (NoAGDP); the second is an optimisation problem to improve the same mechanical properties also minimizing the cost of the CNTCSs. Numerical results show in both cases that a set of optimal CNTCSs can be found, which has similar stiffness, weight and NoAGDP, with sensitive cost increments, compared to common polymer structures.
CitationMorillo, C., Bugeda, G., Lee, D., Oller, S. Green design and multidisciplinary optimization of carbon nanotube composite structures. A: Conference on Evolutionary and deterministic methods for design, optimization and control with applications to industrial and societal problems. "Extended abstracts book: Evolutionary and deterministic methods for design, optimization and control with applications to structural and societal problems: Las Palmas de Gran Canaria, Spain, October 7-9, 2013". Las Palmas de Gran Canaria: Universidad de las Palmas de Gran Canaria, 2013, p. 61-64.