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DTSTART;TZID=America/New_York:20210628T134500
DTEND;TZID=America/New_York:20210628T150000
DTSTAMP:20260424T112042
CREATED:20210623T144734Z
LAST-MODIFIED:20210623T144734Z
UID:10000841-1624887900-1624892400@ccee.engr.it
SUMMARY:CCEE Structures & Mechanics Seminar: Material Design Using Topology Optimization
DESCRIPTION:CCEE Structures & Mechanics (SEM) Seminar \nVirtual Seminar Link: https://ncsu.zoom.us/j/98200034791?pwd=OTJYQmk1anhTdGRPWHV3eWpjRDJEUT09 \nPasscode: 11235  \nAbstract: Topology optimization (TopOpt) is a leading design procedure for obtaining optimal material\nlayouts. Since TopOpt is a mathematically driven approach\, the entire design procedure is automated with\nminimal or no human intervention. An attractive feature of TopOpt is its ability to introduce new\nboundaries (holes) into the design space; thus\, TopOpt can produce final material layouts that differ\nentirely from initial guesses. This presentation details a design framework to obtain optimal material\ndesigns for various engineering applications. The talk will highlight my group’s efforts to fill in several\naspects of the knowledge gap: (i) analytical solutions for canonical problems that give a more profound\nunderstanding of optimal designs. (ii) A viable approach for incorporating manufacturing constraints into\nthe design space\, thereby improving the synergy between design and fabrication. (iii) A framework for\nmulti-criteria optimization to handle a class of multi-physics design problems. First\, I will present a two-scale\ntopology optimization framework—design variables at the microscale and desired goal at structure\n(macro) scale—for nonlinear elasticity; this framework is suitable for applications such as armor design\nand metamaterials. Second\, by utilizing the dissipation rate\, I will outline a robust design framework for\nflow through porous media applications; for these problems\, the usual objective functions such as\ncompliance and minimum power principle are not applicable. Third\, I will illustrate optimal material\ndesigns for heat management in structural systems—a multi-criteria optimization problem. The talk will\nconclude with an outline of an ongoing effort of designing periodic wave barriers and foundations using\nTopOpt for mitigating damage to infrastructure due to earthquakes. \nBio: Professor Kalyana Nakshatrala is an associate professor in the Department of Civil and Environmental\nEngineering with a courtesy appointment in Mechanical Engineering at the University of Houston (UH). In 2019\, he\nwas a faculty associate at the California Institute of Technology. Before becoming a faculty member\, he was a\npostdoctoral research associate at the University of Illinois at Urbana-Champaign\n(UIUC) in collaboration with Los Alamos and Pacific Northwest National Laboratories.\nNakshatrala received his Ph.D. in Civil Engineering with a certificate in Computational\nScience and Engineering along with two M.S. degrees\, one in structural engineering\nand the other in applied mathematics\, from UIUC. He obtained his bachelor’s degree in\nCivil Engineering from the Indian Institute of Technology-Madras. Professor\nNakshatrala is devoted to student mentorship and recently had a PhD advisee win first\nprize at the 2018 Engineering Mechanics Institute Conference and another doctoral\nstudent win the 2016 Robert J. Melosh Medal\, an international award given to the best\nstudent paper in Computational Mechanics. He has also been recognized for his\ndedication to teaching\, including the 2019 Kittinger Teaching Excellence Award—the\nhighest teaching honor conferred by the Cullen College of Engineering at UH. He remains active in the academic\ncommunity as an associate editor for the ASCE Journal of Engineering Mechanics and serves on the early career\nresearch board for IOPScience’s Multifunctional Materials. \nSEM_Seminar_Nakshatrala_28June2021 \n  \n 
URL:https://ccee.engr.it/event/ccee-structures-mechanics-seminar-material-design-using-topology-optimization/
LOCATION:Raleigh\, NC\, United States
CATEGORIES:Appear On Homepage
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