BEGIN:VCALENDAR
VERSION:2.0
PRODID:-//talks.cam.ac.uk//v3//EN
BEGIN:VTIMEZONE
TZID:Europe/London
BEGIN:DAYLIGHT
TZOFFSETFROM:+0000
TZOFFSETTO:+0100
TZNAME:BST
DTSTART:19700329T010000
RRULE:FREQ=YEARLY;BYMONTH=3;BYDAY=-1SU
END:DAYLIGHT
BEGIN:STANDARD
TZOFFSETFROM:+0100
TZOFFSETTO:+0000
TZNAME:GMT
DTSTART:19701025T020000
RRULE:FREQ=YEARLY;BYMONTH=10;BYDAY=-1SU
END:STANDARD
END:VTIMEZONE
BEGIN:VEVENT
CATEGORIES:Engineering Department Structures Research Seminar
 s
SUMMARY:Digital twinning of infrastructures using statisti
 cal finite element method (statFEM) - Eky Febriant
 o\, University of Glasgow
DTSTART;TZID=Europe/London:20220513T150000
DTEND;TZID=Europe/London:20220513T160000
UID:TALK174284AThttp://talks.cam.ac.uk
URL:http://talks.cam.ac.uk/talk/index/174284
DESCRIPTION:The monitoring of infrastructure assets using sens
 or networks is becoming increasingly prevalent. A 
 digital twin in the form of a finite element (FE) 
 model can help make sense of the copious amount of
  collected sensor data. This talk reviews the stat
 istical finite element method (statFEM) that provi
 des the means of synthesising measurement data and
  FE models. In statFEM\, the data and FE model are
  random variables with uncertainties associated wi
 th measurement error\, random inputs\, and modelli
 ng assumptions. A physics-informed prior density d
 istribution of the system response\, e.g.\, strain
  or displacement\, is given by a conventional stoc
 hastic forward problem. The posterior density of t
 he system response is obtained through the Bayes r
 ule from the postulated prior density and a data-d
 ependent likelihood function. This talk also prese
 nts the application of statFEM to predict the stru
 ctural response of an instrumented steel railway b
 ridge and nonlinear continuous welded rail system.
  \n
LOCATION:CivEng Seminar Room (1-33) (Civil Engineering Buil
 ding)
CONTACT:Mishael Nuh
END:VEVENT
END:VCALENDAR