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VERSION:2.0
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SUMMARY:Characterizing and using thermal response of bridges for structura
 l performance evaluation
DTSTART:20120822T103000
DTEND:20120822T113000
DTSTAMP:20260610T054613Z
UID:768e8e991e4926614db0ead44bf85de0caf4321098fa851a07ded679
CATEGORIES:Conferences - Seminars
DESCRIPTION:Roland Kromanis\, PhD Student\, Civil Engineering Programme\, 
 University of Exeter\, UK\nThis research is focused on the analysis of lon
 g-term measurements from distributed sensing of bridges. Previous research
  has shown that ambient temperatures are strongly correlated with variatio
 ns in structural response and their influence often exceeds the response t
 o traffic and other loads such as wind. Therefore\, characterizing the the
 rmal response is an important first step in interpreting measurements from
  continuous monitoring. This research hypothesizes that a sensing system\,
  which is comprised of rationally distributed thermocouples as is common i
 n many bridges today\, could enable accurate prediction of structural resp
 onse (strains). Hence\, it investigates the following two research questio
 ns: (1) could supervised learning techniques such as support vector machin
 es (SVM) be trained to predict structural response from distributed temper
 ature measurements? and (2) could the trained models be employed for anoma
 ly detection? This talk will present preliminary results that support thes
 e hypotheses using numerical models of bridges and measurements from a ful
 l-scale structure.
LOCATION:GC G1 515 http://plan.epfl.ch/?lang=fr&zoom=19&recenter_y=5864267
 .48334&recenter_x=730958.60537&layerNodes=fonds\,batiments\,labels\,inform
 ation\,parkings_publics\,arrets_metro&floor=1&q=GC_G1%20515
STATUS:CONFIRMED
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