Multi-objective design optimisation of GFRP sandwich beams

Awad, Z.K., Aravinthan, Thiru, Zhuge, Y., & Gonzalez, Luis F. (2012) Multi-objective design optimisation of GFRP sandwich beams. In Samali, Bijan, Attard, Mario M., & Song, Chongmin (Eds.) From Materials to Structures: Advancement through Innovation : Proceedings of the 22nd Australasian Conference on the Mechanics of Structures and Materials, CRC Press, Sydney, Australia.

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Abstract

A novel Glass Fibre Reinforced Polymer (GFRP) sandwich panel was developed by an Australian manufacturer for civil engineering applications. This research is motivated by the new applications of GFRP sandwich structures in civil engineering such as slab, beam, girder and sleeper. An optimisation methodology is developed in this work to enhance the design of GFRP sandwich beams. The design of single and glue laminated GFRP sandwich beam were conducted by using numerical optimisation. The numerical multi-objective optimisation considered a design two objectives simultaneously. These objectives are cost and mass. The numerical optimisation uses the Adaptive Range Multi-objective Genetic Algorithm (ARMOGA) and Finite Element (FE) method. Trade-offs between objectives was found during the optimisation process. Multi-objective optimisation shows a core to skin mass ratio equal to 3.68 for the single sandwich beam cross section optimisation and it showed that the optimum core to skin thickness ratio is 11.0.

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ID Code: 60083
Item Type: Conference Paper
Refereed: Yes
Additional URLs:
Keywords: Design optimisation, Sandwich beams, Glass fibres
ISBN: 9780415633185
Subjects: Australian and New Zealand Standard Research Classification > ENGINEERING (090000) > CIVIL ENGINEERING (090500) > Construction Materials (090503)
Australian and New Zealand Standard Research Classification > ENGINEERING (090000) > CIVIL ENGINEERING (090500) > Structural Engineering (090506)
Australian and New Zealand Standard Research Classification > ENGINEERING (090000) > MATERIALS ENGINEERING (091200) > Composite and Hybrid Materials (091202)
Divisions: Current > Schools > School of Electrical Engineering & Computer Science
Current > QUT Faculties and Divisions > Science & Engineering Faculty
Deposited On: 20 May 2013 23:37
Last Modified: 12 Jun 2013 15:48

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