Date of Award
Fall 2022
Document Type
Open Access Dissertation
Department
Civil and Environmental Engineering
First Advisor
Dimitris C. Rizos
Abstract
The dynamic analysis of the vehicle-structure interactions can be extremely computationally expensive. A general non-iterative coupling algorithm based on the substructure approach has been presented. It retains the advantage of the substructure approach that smaller subsystems are solved instead of a large system, which is usually solved when monolithic systems are solved. However, the advantage of using this general coupling approach is that it is non-iterative in nature, instead of the substructure approach that usually uses iterative procedure. The general coupling algorithm developed has been implemented to analyze dynamic interactions between the vehicle and the structure, both in two and three dimensions. The computational accuracy of the general coupling algorithm has verified against various benchmark examples. It has shown to be computationally more efficient than popularly reported methods in the literature or when the solutions are obtained using widely used commercial softwares. Also, the proposed coupling algorithm has shown to be versatile and robust and provides the opportunity to the analyst to discretize the subsystems and use different numerical solvers as desired to achieve the most computationally accurate and efficient solution for the overall system.
Rights
© 2022, Arya Datta
Recommended Citation
Datta, A.(2022). Versatile and Robust Non-iterative Coupling Algorithm for Vehicle-Structure Interaction. (Doctoral dissertation). Retrieved from https://scholarcommons.sc.edu/etd/7064