PhD Proposal by Ting Wei Chin

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Event Details
  • Date/Time:
    • Tuesday May 29, 2018 - Wednesday May 30, 2018
      10:00 am - 11:59 am
  • Location: Weber 200
  • Phone:
  • URL:
  • Email:
  • Fee(s):
    N/A
  • Extras:
Contact
No contact information submitted.
Summaries

Summary Sentence: Multi-Physics, High Resolution Topology Optimization for Aerospace Structures

Full Summary: No summary paragraph submitted.

Ting Wei Chin
(Advisor: Prof. Graeme J. Kennedy)

will propose a doctoral thesis entitled,

Multi-Physics, High Resolution Topology Optimization for Aerospace Structures

On

Tuesday, May 29 at 10 a.m.
Weber 200

 

Abstract
Structural topology optimization is a useful tool for generating novel structural designs, especially in multi-physics applications where engineering experience may be lacking. These multi-physics applications include design aerospace structures that are subjected to elevated temperature environment, where mechanical and thermal loads are present or designing structures for strength and avoiding low natural frequency resonance. One such instance is the design of thermal structures. Due to the presence of design-dependent thermal loads, thermoelastic topology optimization of such structures is more complex. Furthermore, since aerospace structures often have low volume fraction, high resolution meshes are needed to capture detailed geometric features that might otherwise be missing. Design and analysis using high resolution uniform meshes is computationally expensive due to the large number of degrees of freedom (DOFs). The same mesh resolution can be created through adaptive mesh refinement such that it has fewer DOFs. However, due to the complexity in creating these adaptive meshes, they are not commonly used in topology optimization. To address these shortcomings, new methods for multi-physics, high resolution topology optimization will be presented. These new techniques are applied to multi-physics designs and are adaptively refined to obtain smooth features and the desired mesh resolution. The multi-physics capabilities of the method are demonstration in the form of thermoelastic topology optimization. Results using adaptive mesh refinement with steady-state thermoelastic topology optimization will be presented.

Committee

  • Prof. Graeme J. Kennedy – School of Aerospace Engineering (advisor)
  • Prof. Brian J. German – School of Aerospace Engineering
  • Prof. Julian J. Rimoli – School of Aerospace Engineering
  • Prof. Claudio V. Di Leo – School of Aerospace Engineering

Additional Information

In Campus Calendar
No
Groups

Graduate Studies

Invited Audience
Public, Graduate students, Undergraduate students
Categories
Other/Miscellaneous
Keywords
Phd proposal
Status
  • Created By: Tatianna Richardson
  • Workflow Status: Published
  • Created On: May 22, 2018 - 9:19am
  • Last Updated: May 22, 2018 - 9:19am