University of Massachusetts Amherst
Adaptive Use Bridge Project
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About

Abstract:
Bridges built in the late 19th and early 20th centuries are being decommissioned due to their ongoing structural degradation and the increasing stringency of highway safety codes. The Adaptive Use Bridge Project at the University of Massachusetts Amherst aims to restore and study donated historic bridges to enhance the structural engineering curriculum and preserve the historic record. The bridges in possession of the University will be reconstructed throughout campus by students for pedestrian use. To accomplish this, civil engineering students will get experience in construction, material testing, structural analysis and computer modeling. Test data and computer models will be made available on a public website for other students to view and interact with. The website will supplement civil engineering instruction and provide real data for students to observe. Upon completion of this long-term project, a protocol for adaptive pedestrian use of historic bridges will be created.


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Adaptive Use Bridge Project Team

Dr. Alan J. Lutenegger, P.E.
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Professor, University of Massachusetts Amherst

Dr. Sanjay R. Arwade
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Assistant Professor, University of Massachusetts Amherst

Sean Kelton
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Graduate Student, University of Massachusetts Amherst
B.S. Civil Engineering, Bucknell University, 2008


Randy Machon
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Undergraduate Student, University of Massachusetts Amherst
Major: Civil & Environmental Engineering
Expected Date of Graduation: December 2009

Johnny Sullivan
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Undergraduate Student, University of Massachusetts Amherst
Major: Civil & Environmental Engineering
Expected Date of Graduation: June 2011


Ryan Mones
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Alum
Graduate Student, University of Massachusetts Amherst
B.S. Civil & Environmental Engineering, University of Massachusetts Amherst, 2009


Kara Peterman
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Alum
Graduate Student, Johns Hopkins University
B.S. Structural Engineering, Swarthmore College, 2009



The National Science Foundation This material is based upon work supported by the National Science Foundation under Grant No. DUE-0736972 and Award 0552548.

Any opinions, findings, and conclusions or recommendations expressed in this material are those
of the author(s) and do not necessarily reflect the views of the National Science Foundation.