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SUMMARY:Uncovering the Controlling Mechanisms of Crack Growth to Improve F
 ailure Predictions
DTSTART:20131205T121500
DTEND:20131205T131500
DTSTAMP:20260924T210154Z
UID:1bb27d84eb5934176093f5dd749a94d91ce27a70624111f738ad2671
CATEGORIES:Conferences - Seminars
DESCRIPTION:Prof. Derek Warner\nIn the last century\, human understanding 
 progressed to a point where the physical laws at the foundation of many ev
 eryday experiences became known. In this century we are faced with the cha
 llenge of utilizing this fundamental knowledge to improve our ability to p
 redict\, control\, and create from the world around us. In many instances\
 , the central challenge involves spanning the vast divide between the macr
 oscopic scale that we interact with and atomic scale where the fundamental
  physical laws operate.\nAs our understanding of the connection between th
 e macroscopic and atomic scales continues to strengthen\, structural engin
 eering will certainly benefit.  For example\, a key challenge is to predi
 ct the response of structures that have been subjected to loads and/or env
 ironments for which experimental data does not exist.  In this scenario\,
  one must use a mechanical model to interpolate or extrapolate from the ex
 perimental data that is available. The truer the mechanical model is to th
 e underlying physics that govern the response\, the greater the chance tha
 t the model will be able to provide a meaningful prediction extending beyo
 nd the experimental data.\nIn this spirit\, our group works to better unde
 rstand the mechanics and mechanisms that govern the crack growth process. 
 This seminar will specifically focus on the ductile crack growth processes
  in a structural aluminum alloy. In this case\, crack growth is governed b
 y the nucleation\, growth\, and coalescence of microvoids. Using experimen
 tal observations\, insights from lower-scale atomistic modeling\, and fini
 te element simulations\, we model these processes to predict material fail
 ure without artificial fitting parameters. The predictions are then critic
 ally examined in light of experimental test results.\nBibliographical Sket
 ch: Derek Warner is currently a Visiting Professor in the Computational So
 lid Mechanics Laboratory at EPFL. He is on sabbatical leave from his Assoc
 iate Professor appointment in the School of Civil and Environmental Engine
 ering at Cornell University. Prior to this he was a Postdoctoral Research 
 Associate in the Division of Engineering at Brown University\, where he wo
 rked in the Mechanics of Solids Group. He completed his Ph.D. in Mechanica
 l Engineering at Johns Hopkins University in 2006. Derek’s overall resea
 rch effort is aimed at understanding the connection between microscopic ph
 ysical phenomena and the macroscopic deformation and failure of engineerin
 g materials by coupling cutting-edge computing technologies with state-of-
 the-art simulation techniques.
LOCATION:GC B331
STATUS:CONFIRMED
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