Technical Papers
Dec 16, 2020

Correlating Surface Hardness to Shear Strength of Driven Rivets and Distribution of In Situ Rivet Hardness

Publication: Journal of Materials in Civil Engineering
Volume 33, Issue 3

Abstract

Measuring surface hardness and correlating it to shear strength is a nondestructive test method that can be used when a more accurate estimate of rivet strength is necessary. The objectives of this research were to (1) correlate the surface hardness to shear strength of driven rivets, and (2) determine if a subset of rivets could be tested to estimate the hardness of all rivets on a structure. Modern rivets were driven with a pneumatic rivet hammer and tested with a portable hardness tester. The shear strength was then estimated using the approximate tensile strength and two factors, 0.58 and 0.85, from previous research. When using the 0.85 factor, the difference between estimated and actual shear strengths was as low as 1%–6%, compared with 28%–34% when using the 0.58 factor. A factor of 4.8 MPa/hardness Rockwell B (HRB) (0.7  ksi/HRB) was then proposed as a direct correlation between surface hardness and shear strength. The range of rivet hardness measurements was approximately 30 HRB for each of the three bridges tested. Thus, it would be inappropriate to estimate the hardness of all rivets from a small subset of tested rivets. A proposed method is to test a subset of rivets on a member or connection of interest and use those measurements to estimate the hardness of rivets only on that member or connection.

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Data Availability Statement

Some or all data, models, or code that support the findings of this study are available from the corresponding author upon reasonable request.

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Go to Journal of Materials in Civil Engineering
Journal of Materials in Civil Engineering
Volume 33Issue 3March 2021

History

Received: Mar 31, 2020
Accepted: Jul 30, 2020
Published online: Dec 16, 2020
Published in print: Mar 1, 2021
Discussion open until: May 16, 2021

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Authors

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Ryan T. Stevens, S.M.ASCE [email protected]
Master’s Candidate, Charles E. Via, Jr. Dept. of Civil and Environmental Engineering, Virginia Tech, Blacksburg, VA 24060 (corresponding author). Email: [email protected]
Assistant Professor, School of Civil and Environmental Engineering, Georgia Institute of Technology, Atlanta, GA 30339. ORCID: https://orcid.org/0000-0001-7525-4775. Email: [email protected].
P.E.
Assistant Professor, Charles E. Via, Jr. Dept. of Civil and Environmental Engineering, Virginia Tech, Blacksburg, VA 24060. ORCID: https://orcid.org/0000-0002-9115-0279. Email: [email protected]

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