Analysis of Materials Based on Inverse Modeling

Pavel Tomasek

doi:10.4028/www.scientific.net/AMM.752-753.369

Paper Titles

The Basic Mechanisms of Turbine Dummy-Blades Assembly and Dry-Friction Dampers Interaction Experimental Investigation
p.346

Influence of Non-Newtonian Behavior Index on Curing Rate when Injection Molding
p.351

Influence of Content of Crosslinking Agent on the Micromechanical Properties of Glass-Filled Polyamide 6
p.357

Micromechanical Properties of Surface Layer of Electron Beam Irradiated of Glass-Filled PA6
p.363

Analysis of Materials Based on Inverse Modeling
p.369

Thermo-Mechanical Properties and Tensile Behaviour of Modified LDPE by Radiation Cross-Linking after Temperature Load
p.373

Influence of Ionizing Beta Radiation on the Surface Energy and Strength of Bonded Joints (at an Elevated Temperature) of Thermoplastic Material
p.378

FE Analysis of the Effect of Material Gradient on the Performance of a Functionally Graded Endodontic Prefabricated Parallel Post
p.382

In Vitro Antimicrobial Properties of Propolis against Caries-Associated Microorganisms
p.387

HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 752-753Analysis of Materials Based on Inverse Modeling

Analysis of Materials Based on Inverse Modeling

Abstract:

This paper describes an interesting approach aimed at analysis of material properties. This work is based on simulated measurements of transmission coefficients of multi-layered materials. These measurements (in a waveguide) are taken as a product of a certain situation, therefore there is an inverse problem in which we try to estimate the original properties of the layers. This study employs analysis of closed-form solutions and numerical multi-parameter optimization.

You might also be interested in these eBooks

View Preview

Info:

Periodical:

Applied Mechanics and Materials (Volumes 752-753)

Pages:

369-372

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.752-753.369

Citation:

Cite this paper

Online since:

April 2015

Authors:

Pavel Tomasek*

Keywords:

Backward Reconstruction, Inverse Analysis, Inverse Problem, Local Optimization, Permittivity

Export:

RIS, BibTeX

Price:

Permissions CCC:

Request Permissions

Permissions PLS:

Request Permissions

Сopyright:

Citation:

* - Corresponding Author

References

[1] D. Szeliga, J. Gawąd and M. Pietrzyk, Parameters identification of material models based on the inverse analysis, Int. J. Appl. Math. Comput. Sci, 14 (2004) 549–556.

Google Scholar

[2] P. Tomasek and Y.V. Shestopalov, Parameter Optimization of Waveguide Filters Employing Analysis of Closed-Form Solutions, in: PIERS Proceedings, Cambridge: The Electromagnetics Academy, Stockholm, Sweden, (2013) 296–299.

Google Scholar

[3] Y. Smirnov, Y. Shestopalov and E. Derevyanchuk, Solution to the inverse problem of reconstructing permittivity of an n-sectional diaphragm in a rectangular waveguide, in: Algebra, Geometry, Mathematical Physics (AGMP) Int. Conf. Mulhouse, France, Springer Proceedings Series, (2013).

DOI: 10.1007/978-3-642-55361-5_32

Google Scholar

[4] L. Yin, Z. Qian, W. Hong, X.W. Zhu and Y. Chen, The Application of Genetic Algorithm in E-Plane Waveguide Filter Design, Int. J. Infrared Millimeter Waves, 21 (2000) 303–308.

Google Scholar

[5] R. Poli, J. Kennedy and T. Blackwell, Particle swarm optimization, Swarm Intelligence, 1 (2007) 33–57.

DOI: 10.1007/s11721-007-0002-0

Google Scholar

[6] I. Zelinka and J. Lampinen, SOMA – Self-Organizing Migrating Algorithm, In Proc. 6th International Conference on Soft Computing, Brno, Czech Republic, (2000).

Google Scholar

[7] R. Storn and K. Price, Differential Evolution – A simple and efficient adaptive scheme for global optimization over continuous spaces, (1995).

Google Scholar

[8] A. Antoniou and W. S. Lu, Practical Optimization: Algorithms and Engineering Applications, Springer (India) Pvt. Limited, New Delhi, India, (2009).

Google Scholar