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Thesis Defence: Construction and linearization of fuel consumption model for mining roads
June 25 at 1:00 pm - 5:00 pm
Meghana Khuntia, supervised by Dr. Yves Lucet, will defend their thesis titled “Construction and linearization of fuel consumption model for mining roads” in partial fulfillment of the requirements for the degree of Master of Science in Computer Science.
An abstract for Meghana Khuntia’s thesis is included below.
Defences are open to all members of the campus community as well as the general public. Registration is not required for in person defences.
ABSTRACT
In this thesis, we tackle the challenge of modeling and optimizing fuel consumption for heavy trucks on mining roads. Our aim is to develop a model that predicts fuel usage and minimizes costs through better road design. The research involves advanced mathematical modeling and a review of fuel consumption models used over the past two decades.
We introduce a novel quartic-polynomial fuel consumption model. To enhance computational efficiency, we simplify this model to a quadratic form, which still closely matches the real-world fuel consumption data of heavy-duty mining vehicles. Through extensive numerical experiments, we establish that the quadratic model achieves a computational speedup of 4 times while maintaining an approximation error below 2%. This confirms the accuracy of the model and its practical utility for road design applications. Additionally, we approximate the quartic model to Mixed Integer Linear Programming (MILP) model which further optimize the computational efficiency. The MILP model shows promise for handling larger road networks by effectively balancing computation time and accuracy.
The study uniquely integrates vehicle dynamics with road design parameters, providing a comprehensive approach that reduces construction costs and fuel consumption. This integration enables mining companies to lower fuel expenses, enhance operational efficiency, and reduce their environmental footprint.
