Masters Theses


"The use of fiber reinforced polymers (FRP) is becoming more and more popular for strengthening and rehabilitating concrete structures. The high tensile and shear strength of FRP laminates is affected by the bond between the FRP laminate and the concrete surface. The effectiveness of FRP sheets in strengthening beams and columns is directly related to the degree of adhesion of the epoxy to the concrete surface. The roughness of the concrete surface is thought to be one of the principal factors that directly affect the bond strength between the concrete and FRP.

Surface characterization of concrete surfaces requires that a surface or surface profile can be measured and characterized in terms of its roughness. The focus is on the characterization of the concrete surfaces so as to produce a roughness index. This roughness index can be used to characterize a concrete surface that can be used to determine what surface texture is optimal for fiber reinforced polymer application.

A new method called “Laser Profilometry” is proposed to determine the roughness parameters. A computer program has been developed in Microsoft Visual C++ (trade name of Microsoft, Inc.) to measure the roughness of prepared concrete surfaces prior to the application of fiber reinforced polymer sheets by evaluating different roughness parameters. The most sensitive roughness parameter(s) for characterizing the surfaces was then evaluated for a variety of smooth and rough concrete surfaces"--Abstract, page iii.


Maerz, Norbert H.
Myers, John J.

Committee Member(s)

Chen, Genda


Civil, Architectural and Environmental Engineering

Degree Name

M.S. in Civil Engineering


The author is grateful to the University Transportation Center under the CIES at the University of Missouri- Rolla and the American Concrete Institute Concrete Research Council for providing funding for this study to be conducted.


University of Missouri--Rolla

Publication Date

Fall 2000


xi, 89 pages

Note about bibliography

Includes bibliographical references (pages 84-88).


© 2000 Poornima Rao Chepur, All rights reserved.

Document Type

Thesis - Restricted Access

File Type




Thesis Number

T 7825

Print OCLC #


Link to Catalog Record

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