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Imaging-based Experiments and Modeling for Bone-implant Biomechanics
Start Date: 1/27/2021Start Time: 4:00 PM
End Date: 1/27/2021End Time: 5:30 PM

Event Description
BIOMED Seminar

Title:
Imaging-based Experiments and Modeling for Bone-implant Biomechanics
 
Speaker:
Jing Du, PhD
Assistant Professor
Department of Mechanical Engineering
College of Engineering
Penn State University

Details:
Bone is a complex anisotropic hierarchical composite that consists of inorganic and organic components. Bone is also a living material that adapts to mechanical stimulations through continuous modeling and remodeling activities. The morphology and mechanical properties of bone change as a result of diseases and treatment. This study presents the results of image-based experiments and simulations of the mechanical behaviors and microstructures of bone.

Mechanical testing coupled micro X-ray computed tomography (micro-CT) enabled concurrent non-invasive characterization of 3D full-field bone microstructures and bone mechanical properties. Atomic force microscopy (AFM) was used to map the surface morphology and elastic properties of bone from sub-millimeter to sub-micron scale. The experimental results are integrated with computational models to provide mechanical insights for the potential improvement of the implant treatment.

Biosketch:
Jing Du, PhD, is an assistant professor of Mechanical Engineering at Penn State University. Dr. Du received her BS and MS degrees in Mechanical Engineering and Materials Science and Engineering, respectively, from Tsinghua University, and her PhD
degree in Mechanical and Aerospace Engineering from Princeton University.

Before joining Penn State, Dr. Du was a postdoctoral scholar in the School of Dentistry at the University of California, San Francisco (UCSF). Her current areas of research interests include mechanical behaviors of biological tissues and biomaterials, biomedical devices, and bio-inspired design.
Contact Information:
Name: Lisa Williams
Email: ltw22@drexel.edu
Jing Du
Location:
Remote Webinar
Audience:
  • Undergraduate Students
  • Graduate Students
  • Faculty
  • Staff

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