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SUMMARY:CESS Seminar: Utilization of physics-based simulated earthquake gr
 ound motions for performance assessment of tall buildings – validation\,
  collapse safety\, and machine learning tools for regional risk evaluation
DTSTART:20190405T121500
DTEND:20190405T130000
DTSTAMP:20260501T081612Z
UID:ed8c53355c2ab6f14f68e0a4d09e14130050602fa95f0e1bc9535ce3
CATEGORIES:Conferences - Seminars
DESCRIPTION:Dr. Nenad Bijelić\, postdoctoral scholar at the Unit of App
 lied Mechanics\, University of Innsbruck\, Austria\nLimited data on strong
  earthquakes and their effects on structures poses one of the main challen
 ges of making reliable risk assessments of tall buildings. For instance\, 
 while the collapse safety of tall buildings is likely controlled by large 
 magnitude earthquakes with long durations and high low-frequency content\,
  there are few available recorded ground motions to evaluate these issues.
  The influence of geologic basins on amplifying ground motion effects rais
 es additional questions. Absent recorded motions from past large magnitude
  earthquakes\, physics-based ground motion simulations provide an attracti
 ve alternative. This talk will focus on utilization of simulated ground mo
 tions for performance assessment of tall buildings with the following over
 all goals: (1) developing confidence in the use of simulated ground motion
 s through comparative assessments of recorded and simulated motions\; (2) 
 identifying important characteristics of extreme ground motions for collap
 se safety of tall buildings\; (3) exploring areas where simulated ground m
 otions provide significant advantages over recorded motions for performanc
 e-based engineering. First\, we will examine an effort to validate the use
  of physics-based simulations in engineering applications by using ground 
 motions simulated with Southern California Earthquake Center’s (SCEC) Br
 oadband Platform (BBP). Next\, collapse risk of tall buildings in the Los 
 Angeles basin will be investigated by contrasting conventional risk assess
 ments with assessments obtained utilizing the SCEC CyberShake simulations.
  Finally\, we will quantify the influence of basin effects on seismic coll
 apse risk and present machine learning approaches for identification of ef
 ficient intensity measures and development of reliable collapse classifica
 tion algorithms. Opportunities for future work will be discussed.\n\nBio\n
 Nenad Bijelić is currently a postdoctoral scholar at the Unit of Applied 
 Mechanics\, University of Innsbruck\, Austria. He obtained his Ph.D. (2018
 ) and M.S. (2014) from Stanford University\, USA\, and B.S. (2010) from Un
 iversity of Zagreb\, Croatia all in civil engineering. In 2012 he received
  the Fulbright Science and Technology award to study earthquake engineerin
 g in the USA. His research is in the area of structural and earthquake eng
 ineering focusing on dynamics of nonlinear systems and application of stat
 istical and machine learning tools. Focus of his recent research was on re
 liable risk assessment of tall buildings located in sedimentary basins thr
 ough high-performance computing and utilization of emergent technologies i
 n earthquake simulations. He is a reviewer for Natural Hazards Review and 
 served as a reviewer for the 11th U.S. National Conference on Earthquake E
 ngineering. 
LOCATION:GC B3 30 https://plan.epfl.ch/?room=GCB330
STATUS:CONFIRMED
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