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Article
A framework for parametric design optimization using isogeometric analysis
Computer Methods in Applied Mechanics and Engineering
  • Austin J. Herrema, Iowa State University
  • Nelson M. Wiese, Iowa State University
  • Carolyn N. Darling, Iowa State University
  • Baskar Ganapathysubramanian, Iowa State University
  • Adarsh Krishnamurthy, Iowa State University
  • Ming-Chen Hsu, Iowa State University
Document Type
Article
Publication Version
Submitted Manuscript
Publication Date
4-1-2017
DOI
10.1016/j.cma.2016.10.048
Abstract

Isogeometric analysis (IGA) fundamentally seeks to bridge the gap between engineering design and high-fidelity computational analysis by using spline functions as finite element bases. However, additional computational design paradigms must be taken into consideration to ensure that designers can take full advantage of IGA, especially within the context of design optimization. In this work, we propose a novel approach that employs IGA methodologies while still rigorously abiding by the paradigms of advanced design parameterization, analysis model validity, and interactivity. The entire design lifecycle utilizes a consistent geometry description and is contained within a single platform. Because of this unified workflow, iterative design optimization can be naturally integrated. The proposed methodology is demonstrated through an IGA-based parametric design optimization framework implemented using the Grasshopper algorithmic modeling interface for Rhinoceros 3D. The framework is capable of performing IGA-based design optimization of realistic engineering structures that are practically constructed through the use of complex geometric operations. We demonstrate the framework’s effectiveness on both an internally pressurized tube and a wind turbine blade, highlighting its applicability across a spectrum of design complexity. In addition to inherently featuring the advantageous characteristics of IGA, the seamless nature of the workflow instantiated in this framework diminishes the obstacles traditionally encountered when performing finite-element-analysis-based design optimization.

Comments

This is a manuscript of an article published as Herrema, Austin J., Nelson M. Wiese, Carolyn N. Darling, Baskar Ganapathysubramanian, Adarsh Krishnamurthy, and Ming-Chen Hsu. "A framework for parametric design optimization using isogeometric analysis." Computer Methods in Applied Mechanics and Engineering (2016). DOI:10.1016/j.cma.2016.10.048. Posted with permission.

Creative Commons License
Creative Commons Attribution-Noncommercial-No Derivative Works 4.0
Copyright Owner
Elsevier B.V.
Language
en
File Format
application/pdf
Citation Information
Austin J. Herrema, Nelson M. Wiese, Carolyn N. Darling, Baskar Ganapathysubramanian, et al.. "A framework for parametric design optimization using isogeometric analysis" Computer Methods in Applied Mechanics and Engineering Vol. 316 (2017) p. 944 - 965
Available at: http://works.bepress.com/ming-chen_hsu/19/