BEGIN:VCALENDAR
VERSION:2.0
PRODID:-//Talks.cam//talks.cam.ac.uk//
X-WR-CALNAME:Talks.cam
BEGIN:VEVENT
SUMMARY:Digital twinning of infrastructures using statistical finite eleme
 nt method (statFEM) - Eky Febrianto\, University of Glasgow
DTSTART:20220513T140000Z
DTEND:20220513T150000Z
UID:TALK174290@talks.cam.ac.uk
CONTACT:Mishael Nuh
DESCRIPTION:The monitoring of infrastructure assets using sensor networks 
 is becoming increasingly prevalent. A digital twin in the form of a finit
 e element (FE) model can help make sense of the copious amount of collecte
 d sensor data. This talk reviews the statistical finite element method (
 statFEM) that provides the means of synthesising measurement data and FE m
 odels. In statFEM\, the data and FE model are random variables with uncer
 tainties associated with measurement error\, random inputs\, and modelling
  assumptions. A physics-informed prior density distribution of the system
  response\, e.g.\, strain or displacement\, is given by a conventional st
 ochastic forward problem. The posterior density of the system response is
  obtained through the Bayes rule from the postulated prior density and a d
 ata-dependent likelihood function. This talk also presents the application
  of statFEM to predict the structural response of an instrumented steel ra
 ilway bridge and nonlinear continuous welded rail system. \n
LOCATION:CivEng Seminar Room (1-33) (Civil Engineering Building)
END:VEVENT
END:VCALENDAR