Masters Theses


"This study details the development and implementation of a finite element model within a commercial finite element code, Abaqus CAE, for the analysis of reinforced concrete (RC) bridge columns containing interlocking spirals subjected to combined loading conditions including axial, shear, bending, and torsional loads, including the post-peak response. The model is a first of its kind attempt at simulating the response of RC columns with continuous spiral transverse reinforcement and subjected to combined loading conditions including torsion. The model is utilized to determine the quasi-static load-deformation response under various proportions of the input loads and displacements. The resulting quasi-static load-deformations, i.e., 'backbone' relationships, are compared to those experimentally obtained for three 1/2-scale prototype RC bridge columns subjected to constant axial loading and slow reversed cyclic lateral loading resulting in combined flexural moment, shear, and torsional moment. It was determined that such models can simulate the behavior of such columns with a reasonable level of error for unidirectional loading, but accurate torsional response and numerical stability of such models is difficult to obtain due to convergence errors resulting from a combination of inelastic material models and multi-body constraints used to couple the motion of the column's constituent pieces together. Attempts were made to extend the finite element model to similar RC bridge columns repaired and strengthened with externally bonded fiber reinforced polymer (FRP) composite jackets, however such attempts resulted in convergence failure as the model approached inelastic behavior"--Abstract, page iii.


Sneed, Lesley

Committee Member(s)

Myers, John
Mendoza, Cesar


Civil, Architectural and Environmental Engineering

Degree Name

M.S. in Civil Engineering


Missouri University of Science and Technology

Publication Date

Spring 2018


xi, 129 pages

Note about bibliography

Includes bibliographical references (pages 124-128).


© 2018 Adam Christopher Morgan, All rights reserved.

Document Type

Thesis - Open Access

File Type




Thesis Number

T 11301

Electronic OCLC #