%0 PDF %T Statistical Bridge Damage Detection Using Temperature-Induced Strains %A Mercado, Andrea. %8 2017-04-19 %R http://localhost/files/0z7097778 %X Abstract: Manual bridge inspections can be supplemented by structural health monitoring (SHM) systems, which leverage advancing technologies of analysis, instrumentation, and data management. This article describes an approach for correlation of SHM systems via a damage detection method using temperature-induced strains. Temperature and strain sensors installed on the Powder Mill Bridge in Barre, Massachusetts show diurnal and seasonal trends. For an undamaged bridge, there is an expected prediction interval of induced strains for a given temperature. A finite element model predicts similar trends in an undamaged situation. Damage scenarios on the model demonstrate impacts to the structural response. From these changes to the model's structural response, the authors can extrapolate that changes in the recorded structural response is an indication of damage. An advantage of using temperature in SHM systems is that unlike controlled load tests, temperature induced changes are continuous and available at no cost or impact to bridge traffic; Thesis (M.S.)--Tufts University, 2016.; Submitted to the Dept. of Civil Engineering.; Advisors: Brian Brenner, and Masoud Sanayei.; Committee: Erin Bell.; Keyword: Civil engineering. %[ 2022-10-12 %9 Text %~ Tufts Digital Library %W Institution