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SUMMARY:Programmable multifunctional materials and structures: Design\, re
 alization\, and validation - Prof Shelly Zhang\, University of Illinois at
  Urbana-Champaign
DTSTART:20251031T140000Z
DTEND:20251031T150000Z
UID:TALK232537@talks.cam.ac.uk
CONTACT:46601
DESCRIPTION:Abstract: Programmable materials and structures hold great pot
 ential for various applications\, such as robotics\, biomedical devices\, 
 and civil structures. The rational design\, physical realization\, and val
 idation of programmed behaviors in these systems play important roles in e
 nabling functional devices. To encode desired mechanical functionality int
 o structures\, we propose a multi-material multi-objective topology optimi
 zation approach to inverse design composite structures that achieve comple
 x target mechanical responses under large deformations. The multi-material
  framework simultaneously optimizes both the geometry\, material heterogen
 eity\, and architecture to achieve target behaviors and functionalities. A
  library of diverse designs is created\, showcasing a wide range of precis
 ely programmed nonlinear responses\, such as multi-bulking and multi-plate
 au.\n\nIn general\, the properties of materials and structures typically r
 emain fixed after being constructed. To enable reprogrammable behaviors\, 
 we develop a multi-physics topology optimization approach to discover magn
 eto-active and temperature-active materials that achieve tunable buckling 
 and switchable shape morphing\, controlled by magnetic fields and temperat
 ure fields\, respectively. The obtained systems exhibit one response under
  one stimulus and switch to a distinct response by applying another stimul
 us.\n\nTo bridge the gap between simulation and fabrication\, we explore m
 ulti-material manufacturing techniques\, introduce advanced path generatio
 n methods\, and develop direct ink writing (DIW) techniques to fabricate a
  suite of mechanical\, magnetic\, and thermal metamaterials and metastruct
 ures and experimentally validate their programmed behaviors. These complex
  yet programmable responses are enabled by the interactions among unique g
 eometry\, material nonlinearity\, large deformations\, and external stimul
 i actuation. The excellent agreement among target\, simulation\, and exper
 iment demonstrates that the proposed optimization-driven framework\, when 
 integrated with hybrid manufacturing techniques\, has the potential to sys
 tematically design\, inform\, and create innovative multi-functional mater
 ials and structures for various engineering applications.\n\n\nBio: Dr. Xi
 aojia Shelly Zhang is a David C. Crawford Faculty Scholar and Associate Pr
 ofessor at the Department of Civil and Environmental Engineering and the D
 epartment of Mechanical Science and Engineering at the University of Illin
 ois at Urbana Champaign (UIUC). She directs the MISSION (MuIti-functional 
 Structures and Systems desIgn OptimizatioN) Laboratory. Dr. Zhang holds B.
 S. and M.S. degrees from UIUC and a Ph.D. degree from Georgia Tech. Her re
 search explores multi-physics topology optimization\, inverse design\, sto
 chastic learning algorithms\, and additive manufacturing to develop multi-
 functional\, sustainable\, and resilient materials\, structures\, and robo
 ts for applications at different scales. She is the recipient of the Natio
 nal Science Foundation CAREER Award (2021)\, the ASME Journal of Applied M
 echanics Award (2022)\, the DARPA Young Faculty Award (2022)\, the AFOSR Y
 oung Investigator Award (2023)\, the Leonardo da Vinci Award from ASCE (20
 24)\, the DARPA Director's Fellowship (2024)\, UIUC Campus Distinguished P
 romotion Award (2025)\, the Thomas J.R. Hughes Young Investigator Award fr
 om\n\nASME (2025)\, the ASME Henry Hess Early Career Publication Award (20
 25)\, the Haftka Young Investigator Award from International Society for S
 tructural and Multidisciplinary Optimization (2025). Dr. Zhang serves on t
 he Executive Committee of the International Society of Structural and Mult
 idisciplinary Optimization (ISSMO) and is a Review Editor for the Journal 
 of Structural and Multidisciplinary Optimization and an Associate Editor f
 or the Journal of Applied Mechanics.
LOCATION:Oatley 1 Meeting Room\, Department of Engineering
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