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SUMMARY:Simulating the Dynamics of the CX-100 Wind Turbine Blade: Verifica
 tion\, Validation\, and Model Selection
DTSTART:20150313T110000
DTEND:20150313T120000
DTSTAMP:20260928T184958Z
UID:d792e59357b69d57b6d09738d5e2393eea91f32ddd590f2bebcfbd43
CATEGORIES:Conferences - Seminars
DESCRIPTION:Dr Kendra L. Van Buren\,Los Alamos National Laboratory\, Los 
 Alamos\, New Mexico\, USA\nThe purpose of this presentation is to elucidat
 e the process of a completely integrated Verification and Validation (V&V)
  procedure\, and to propose a decision analysis framework to assess the ef
 fect of incomplete knowledge of modeling strategies on prediction accuracy
 . The methods presented are applied to the nine-meter CX-100 wind turbine 
 blade developed at Sandia National Laboratories. A computationally efficie
 nt three-dimensional finite element model is achieved by segmenting the bl
 ade geometry into six sections with homogenized\, isotropic material prope
 rties. The scientific hypothesis to be confirmed by applying V&V activitie
 s is the possibility of developing a fast-running model capable of predict
 ing the low-order vibration dynamics with sufficient accuracy. The model i
 s then used to simulate a configuration of the blade in which large masses
  are added to load the blade in bending during vibration testing. The deci
 sion analysis framework is applied to consider two alternative modeling st
 rategies for the added masses\, given their respective sources of uncertai
 nty: (i) using solid elements or (ii) with a combination of point-mass and
  spring elements. The framework departs from the conventional approach tha
 t considers only test-analysis correlation to select the model that provid
 es the highest degree of fidelity-to-data. Rather the new approach propose
 s to explore the trade-offs between fidelity-to-data and robustness-to unc
 ertainty. The effect of the imperfect representation of added masses is qu
 antified by varying parameters of the two competing FE models. The robustn
 ess criterion proposed for model selection studies the extent to which pre
 diction accuracy deteriorates as the lack-of-knowledge is increased. Credi
 bility originates from the modeling strategy that offers the best compromi
 ses between fidelity and robustness.
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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