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Material Selection and Structural Optimization for Lightweight Truck Trailer Design

Accepted version
Peer-reviewed

Type

Article

Change log

Authors

Galos, J 

Abstract

This paper investigates options for light-weighting truck trailers through a combination of material selection and structural optimisation. Critical chassis design load cases were established, and a parametric finite element model of a typical European-style 13.5 m long truck trailer built from steel I-beams was developed. The model has been used to show that existing longitudinal steel I-beams could be reduced in weight by 28% (140 kg) through shape optimisation alone. The model was expanded to analyse holistic composite trailer structures. It showed that up to 67% (1,326 kg) of weight could be saved by executing shape and material optimisation in unison. The approach highlights that design through parametric analysis allows for many different structural configurations to be assessed in terms of both mechanical performance and material cost. This facilitates the construction of a theoretical design space of a lightweight chassis, clarifying the weight reduction limits that could be achieved with lightweight materials and structural optimisation. The lightweight trailer chassis designs proposed here are also compared against a portfolio of shorter-term strategies for trailer light-weighting. These strategies are poised to have an increasingly important role in reducing the greenhouse gas emissions of the road freight industry.

Description

Keywords

Material selection, Structural optimization, Composites, Truck, Trailer

Journal Title

SAE International Journal of Commercial Vehicles

Conference Name

Journal ISSN

1946-391X
1946-3928

Volume Title

12

Publisher

SAE International

Rights

All rights reserved
Sponsorship
Engineering and Physical Sciences Research Council (EP/K00915X/1)
Engineering and Physical Sciences Research Council (EP/R035199/1)
Members of the Centre for Sustainable Road Freight and from the Engineering and Physical Sciences Research Council (Grant Reference EP/K00915X/1)