BEGIN:VCALENDAR
VERSION:2.0
PRODID:-//Memento EPFL//
BEGIN:VEVENT
SUMMARY:Uncertainty Quantification in Model Verification & Validation as A
 pplied to Large Scale Historic Masonry Monuments
DTSTART:20130705T110000
DTEND:20130705T120000
DTSTAMP:20260501T053026Z
UID:7d162633d8bf286a9b20ab23ac70ded892c4b1c524b41cf958f8ae72
CATEGORIES:Conferences - Seminars
DESCRIPTION:Sez Atamturktur\, Assistant Professor\nGlenn Department of Civ
 il Engineering\, Clemson University\, South Carolina\, USA\nThis presentat
 ion will focus on the Verification and Validation (V&V) of numerical model
 s for establishing confidence in model predictions with a specific focus o
 n large scale masonry monuments. Through an overview of various case study
  applications\, the presentation will discuss relevant phases of a V&V pro
 cess: numerical model development\, field experimentation and model verifi
 cation & validation. The main goals of this presentation are to discuss wh
 ere modeling errors and uncertainty originate from\, and present a V&V app
 roach to obtain model predictions that are statistically consistent with t
 heir respective measurements. Our V&V approach considers all major sources
  of errors and uncertainty that originate from numerical solutions of diff
 erential equations (numerical uncertainty)\, imprecise model input paramet
 er values (parameter uncertainty)\, incomplete definitions of underlying p
 hysics due to assumptions and idealizations (bias error) and variability i
 n measurements (experimental uncertainty). In the presentation\, a brief o
 verview of best-practices for designing calibration experiments will be pr
 ovided with a particular emphasis on in situ vibration measurements. Speci
 fically\, an approach for optimal placement of sensors utilizing an inform
 ation-based criterion will be discussed to not only reduce the cost and ti
 me demands of on-site testing but also the amount of measurement data requ
 iring post-processing. The presentation will conclude with a discussion on
  the role of selected model form (i.e. macro versus micro modeling of maso
 nry assembly) in regards to the robustness and fidelity of model predictio
 ns.
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
END:VEVENT
END:VCALENDAR