A hierarchical algorithmic and computational scheme based on a staggered design optimization approach is presented. This scheme is structured for unique characterization of many continuum systems and their associated datasets of experimental measurements related to their response characteristics. This methodology achieves both online (real-time) and offline design of optimum experiments required for characterization of the material system under consideration, while also achieving a constitutive characterization of the system. The approach assumes that mechatronic systems are available for exposing specimens to multidimensional loading paths and for the acquisition of data associated with stimulus and response behavior. Material characterization is achieved by minimizing the difference between system responses that are measured experimentally and predicted based on model representation. The performance metrics of the material characterization process are used to construct objective functions for the design of experiments at a higher-level optimization. The distinguishability and uniqueness of solutions that characterize the system are used as two of many possible measures adopted for construction of objective functions required for design of experiments. Finally, a demonstration of the methodology is presented that considers the best loading path of a two degree-of-freedom loading machine for characterization of the linear elastic constitutive response of anisotropic materials.
Skip Nav Destination
ASME 2007 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference
September 4–7, 2007
Las Vegas, Nevada, USA
Conference Sponsors:
- Design Engineering Division and Computers and Information in Engineering Division
ISBN:
0-7918-4803-5
PROCEEDINGS PAPER
Simultaneous Hierarchical and Multi-Level Optimization for Material Characterization and Design of Experiments
John G. Michopoulos,
John G. Michopoulos
Naval Research Laboratory, Washington, DC
Search for other works by this author on:
Tomonari Furukawa,
Tomonari Furukawa
University of New South Wales, Sydney, New South Wales, Australia
Search for other works by this author on:
John C. Hermanson,
John C. Hermanson
USDA Forest Products Laboratory, Madison, WI
Search for other works by this author on:
Samuel G. Lambrakos
Samuel G. Lambrakos
Naval Research Laboratory, Washington, DC
Search for other works by this author on:
John G. Michopoulos
Naval Research Laboratory, Washington, DC
Tomonari Furukawa
University of New South Wales, Sydney, New South Wales, Australia
John C. Hermanson
USDA Forest Products Laboratory, Madison, WI
Samuel G. Lambrakos
Naval Research Laboratory, Washington, DC
Paper No:
DETC2007-35470, pp. 81-89; 9 pages
Published Online:
May 20, 2009
Citation
Michopoulos, JG, Furukawa, T, Hermanson, JC, & Lambrakos, SG. "Simultaneous Hierarchical and Multi-Level Optimization for Material Characterization and Design of Experiments." Proceedings of the ASME 2007 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. Volume 2: 27th Computers and Information in Engineering Conference, Parts A and B. Las Vegas, Nevada, USA. September 4–7, 2007. pp. 81-89. ASME. https://doi.org/10.1115/DETC2007-35470
Download citation file:
6
Views
Related Proceedings Papers
Related Articles
Data-Driven Design Optimization for Composite Material Characterization
J. Comput. Inf. Sci. Eng (June,2011)
Optimization of a Classical Stamping Progression by Modal Correction of Anisotropy Ears
J. Manuf. Sci. Eng (December,2007)
Design of Experiments to Investigate Geometric Effects on Fluid Leakage Rate in a Balance Drum Seal
J. Eng. Gas Turbines Power (March,2015)
Related Chapters
Standard Usage and Transformation of Taguchi-Class Orthogonal Arrays
Taguchi Methods: Benefits, Impacts, Mathematics, Statistics and Applications
Exercises
Taguchi Methods: Benefits, Impacts, Mathematics, Statistics and Applications
Regression
Engineering Optimization: Applications, Methods, and Analysis