Curing Fracture: A Material Cancer

  • 11 Mar 2021
  • 9:00 AM - 10:00 AM
  • Online

Curing Fracture: A Material Cancer

Fracture has long been deemed a “material cancer,” it is hard to tell when and where it will occur and is usually too late when we find it.

Join Dartmouth Engineering Professor Yan Li and learn about groundbreaking research on proactive predications of fracture in structures and biomaterials —and how a new material design framework is developing bio-inspired energy absorbing materials to prevent fracture and cyber-attacks during digital manufacturing.

Material examples include ceramic composites found in heating elements, metals in aircrafts, polymers used in medical implants and renewable energy storage devices. Unexpected material fracture not only leads to structural failure but can be life-threatening. From reactive learning of failures in different scenarios, a new material design approach is developed to populate a knowledge base that can be used for proactive fracture predictions in future material designs.

Thursday, March 11, 2021

9:00 am PST / 12:00 pm EST 

Registration required to receive the Zoom webinar link and passcode.

REGISTER

Yan Li, Ph.D.

Prof. Yan Li


Dr. Yan Li  joined the Thayer School of Engineering at Dartmouth College in January 2020. Prior to that appointment, she was an Assistant Professor in the Department of Mechanical and Aerospace Engineering at California State University, Long Beach from 2014 to 2019.  

Dr. Li received her PhD degree in Mechanical Engineering from Georgia Institute of Technology in 2014.

Dr. Li's primary research interests are in the area of mechanics of advanced materials involving multiscale/multiphysics modelling, integrated computational and experimental approaches for next generation material design, and application of material science and solid mechanics in advanced manufacturing.

She has worked on research projects supported by the US Army Research Laboratory, Sandia National Laboratories, NSF NH-BioMade Center, NSF CCMD (Center for Computational Materials Design) and collaborated with industry partners including Boeing, Gulfstream and GE.

Dr. Li is the recipient of ASME ORR Early Career Award in 2020; Best Paper Award of the 8th International Conference on Computational Methods in 2018; WAC Teaching Writing Fellow at Cal State Long Beach in 2017; Professors Around the World at Cal State Long Beach in 2016, and received multiple NSF travel awards for leadership and career development.

Powered by Wild Apricot Membership Software