Title: Cargo dynamic stability in the container loading problem - a physics simulation tool approach

Authors: António Galrão Ramos; João Jacob; Jorge Fonseca Justo; José Fernando Oliveira; Rui Rodrigues; A. Miguel Gomes

Addresses: INESC TEC, CIDEM, School of Engineering, Polytechnic Institute of Porto, Porto, Portugal ' INESC TEC, Faculty of Engineering, University of Porto, Porto, Portugal ' CIDEM, School of Engineering, Polytechnic Institute of Porto, Porto, Portugal ' INESC TEC, Faculty of Engineering, University of Porto, Porto, Portugal ' INESC TEC, Faculty of Engineering, University of Porto, Porto, Portugal ' INESC TEC, Faculty of Engineering, University of Porto, Porto, Portugal

Abstract: The container loading problem (CLP) is a real-world driven, combinatorial optimisation problem that addresses the maximisation of space usage in cargo transport units. The research conducted on this problem failed to fulfill the real needs of the transportation industry, owing to the inadequate representation of practical-relevant constraints. The dynamic stability of cargo is one of the most important practical constraints. It has been addressed in the literature in an over-simplified way which does not translate to real-world stability. This paper proposes a physics simulation tool based on a physics engine, which can be used to translate real-world stability into the CLP. To validate the tool, a set of benchmark tests is proposed and the results obtained with the physics simulation tool are compared to the state-of-the-art simulation engineering software Abaqus Unified FEA. Analytical calculations have been also conducted, and it was also possible to conclude that the tool proposed is a valid alternative.

Keywords: dynamic stability; physics engine; container loading problem; CLP; cargo stability; simulation; combinatorial optimisation; cargo transport.

DOI: 10.1504/IJSPM.2017.082788

International Journal of Simulation and Process Modelling, 2017 Vol.12 No.1, pp.29 - 41

Received: 22 Jan 2015
Accepted: 19 Jan 2016
Published online: 12 Mar 2017 *

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