Numerical Computation of Second Rank Polarization Tensor with Speeding Up Techniques

Authors

  • Suzarina Ahmed Sukri Department of Mathematical Sciences, Faculty of Science, Universiti Teknologi Malaysia (UTM), Johor Bahru, 81310 Johor, MALAYSIA https://orcid.org/0009-0009-3273-7342
  • Yeak Su Hoe Department of Mathematical Sciences, Faculty of Science, Universiti Teknologi Malaysia (UTM), Johor Bahru, 81310 Johor, MALAYSIA https://orcid.org/0000-0002-6018-2155
  • Taufiq Khairi Ahmad Khairuddin Department of Mathematical Sciences, Faculty of Science, Universiti Teknologi Malaysia (UTM), Johor Bahru, 81310 Johor, MALAYSIA.
  • Nurfarrisha Asnida Khairul Akmar Department of Mathematical Sciences, Faculty of Science, Universiti Teknologi Malaysia (UTM), Johor Bahru, 81310 Johor, MALAYSIA.

DOI:

https://doi.org/10.22452/mjs.vol45sp2.8

Keywords:

polarization tensor, numerical integration, adaptive mesh refinement, computational efficiency

Abstract

This research focused on the techniques used to accelerate the numerical computation of the second rank polarization tensor (PT), which plays a crucial part in many real-life applications such as mathematics and engineering. In order to achieve an accurate numerical solution of PT with reduced computation time, this study employed a different yet simple technique for handling the higher singularity in the mathematical computation of PT itself. By leveraging numerical integration techniques together with the adaptive mesh refinement technique, it shows that the computation of the numerical solution can be achieved within a shorter time without sacrificing accuracy. From the results, a lower computational time is achieved with a higher precision numerical solution, making these techniques practical in complex systems, especially in engineering applications. This research not only improves computational speed but also enhances efficiency and accuracy by implementing adaptive geometrical modifications with the aids of meshing tool which is Netgen Mesh Generator.

 

References

Alkhalifah, T. A. "Efficient computation of polarization tensors for the detection of buried landmines." Journal of Applied Geophysics, 107 (2014): 74-81.

Ammari, H., and Kang, H., “Properties of the generalized polarization tensors,” Multiscale Model. Simul. 1, 335–348 (2003).

Ammari, H., and Kang, H., Polarization and moment tensors: with applications to inverse problems and effective medium theory, Vol. 162 (Springer Science & Business Media, 2007).

Bannister, J. R., and Gupta, V. "Electromagnetic detection of buried objects using the polarization tensor." Journal of Geophysical Research, 114 (2009): B12202.

Bardet, J. P., and Vasseur, J. "Generalized polarization tensors in the study of magnetically induced currents." Journal of Applied Physics, 97(10) (2005): 10C102.

Capdeboscq, Y., Karrman, A. B., and Nedelec, J. C., “Numerical computation of approximate generalized polarization tensors,” Appl. Anal. 91, 1189-203 (2012).

de Jong, W., Cremer, F., Schutte, K., and Storm, J., “Usage of polarization features of land mines for improved automatic detection,” in Detection and Remediation Technologies for Mines and Minelike Targets V, Vol. 4038, 241-252 (SPIE, 2000).

Friedman, A., and Vogelius, M., “Identification of small inhomogeneities of extreme conductivity by boundary measurements: a theorem on continuous dependence,” Arch. Rational Mech. Anal. 105, 299-326 (1989).

Jin, Zhongwen, Ganghua Qin, Haidong Fan, Ruochen Huang, Ziqi Chen, Qian Zhao, Mingyang Lu, Zhijie Zhang, Anthony Peyton, and Wuliang Yin. "Boundary-element analysis of magnetic polarization tensor for metallic cylinder." IEEE Access 9 (2021): 63250-63256.

Lu, Zhijie Zhang, Anthony Peyton, and Wuliang Yin. "Boundary-element analysis of magnetic polarization tensor for metallic cylinder." IEEE Access 9 (2021): 63250-63256.

Kang, H., and Ammari, H. "Generalized polarization tensors and their applications." Inverse Problems, 22(1) (2006): 305-317.

Khairuddin, T. K. A., and Lionheart, W., “Some properties of the first order polarization tensor for 3-D domains,” Matematika 19, 1-18 (2013).

Khairuddin, T. K. A., and Lionheart, W. R., “Computing the first order polarization tensor: welcome BEM++!,” Menemui Matematik 35, 15-20 (2013).

Khairuddin, T. K. A., and Lionheart, W. R., “Characterization of objects by electrosensing fish based on the first order polarization tensor,” Bioinspir. Biomim. 11, 055004 (2016).

Lu, M., Zhao, Q., Hu, P., Yin, W., and Peyton, A. J., “Prediction of the asymptotical magnetic polarization tensors for cylindrical samples using the boundary element method,” in 2015 IEEE Sensors Applications Symposium (SAS), 1-4 (IEEE, 2015).

Pólya, G., “A minimum problem about the motion of a solid through a fluid,” Proc. Natl. Acad. Sci. 33, 218-221 (1947).

Roux, M., and Gloaguen, R. "Application of generalized polarization tensors to electromagnetic modeling of complex geological structures." Geophysical Journal International, 205(3) (2016): 1836-1855.

S. A. Sukri, Y. S. Hoe, and T. K. A. Khairuddin, “Quadratic element integration of approximated First Order Polarization Tensor for sphere,” Malaysian J. Fundam. Appl. Sci. 16(5), 560–565 (2020).

Schöberl, Joachim. "NETGEN An advancing front 2D/3D-mesh generator based on abstract rules." Computing and visualization in science 1, no. 1 (1997): 41-52.

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Published

15-11-2026