Date of Award
Fall 2017
Document Type
Dissertation
Degree Name
Doctor of Philosophy (PhD)
Department
Mechanical & Aerospace Engineering
Committee Director
Brett A. Newman
Committee Director
Duc T. Nguyen
Committee Member
Julie Z. Hao
Committee Member
Gene J. Hou
Abstract
An investigation into current methods and new approaches for solving systems of nonlinear equations was performed. Nontraditional methods for implementing arc-length type solvers were developed in search of a more robust capability for solving general systems of nonlinear algebraic equations. Processes for construction of parameterized curves representing the many possible solutions to systems of equations versus finding single or point solutions were established. A procedure based on these methods was then developed to identify static equilibrium states for solutions to multi-body-dynamic systems. This methodology provided for a pictorial of the overall solution to a given system, which demonstrated the possibility of multiple candidate equilibrium states for which a procedure for selection of the proper state was proposed. Arc-length solvers were found to identify and more readily trace solution curves as compared to other solvers making such an approach practical. Comparison of proposed methods was made to existing methods found in the literature and commercial software with favorable results. Finally, means for parallel processing of the Jacobian matrix inherent to the arc-length and other nonlinear solvers were investigated, and an efficient approach for implementation was identified. Several case studies were performed to substantiate results. Commercial software was also used in some instances for additional results verification.
Rights
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DOI
10.25777/m09c-zj95
ISBN
9780355676501
Recommended Citation
Rose, Geoffrey K..
"Computational Methods for Nonlinear Systems Analysis With Applications in Mathematics and Engineering"
(2017). Doctor of Philosophy (PhD), Dissertation, Mechanical & Aerospace Engineering, Old Dominion University, DOI: 10.25777/m09c-zj95
https://digitalcommons.odu.edu/mae_etds/31
ORCID
0000-0001-7567-2598