Using MATLAB and COMSOL Multiphysics for Optimization of the Model of Underground Thermal Processes at Old Mining Dumps

Article Preview

Abstract:

The paper deals with the use of MATLAB and COMSOL Multiphysics environments for solution of optimization problem regarding underground thermal processes occurring at the old mining dumps affected by subsurface endogenous fires. It gives the description of measurement system and physical setup of the experimental borehole used to provide the real measured data for the model with the aim of its verification. The optimization problem is defined and solved by proposed computational technique that uses both MATLAB and COMSOL Multiphysics with the LiveLink tool that integrates these environments. Results of the optimization help to evaluate the total or relative heat power of the mass within mining dump.

You might also be interested in these eBooks

Info:

Periodical:

Pages:

571-578

Citation:

Online since:

April 2014

Export:

Price:

Permissions CCC:

Permissions PLS:

Сopyright:

© 2014 Trans Tech Publications Ltd. All Rights Reserved

Share:

Citation:

[1] P. Vojcinak, M. Vrtek, and R. Hajovsky, Evaluation and Monitoring of Effectiveness of Heat Pumps via COP Parameter, In International Conference on Circuits, Systems, Signals, p.240–247, 2010. ISBN 978-960-474-226-4.

Google Scholar

[2] R. Hajovsky, S. Ozana and P. Nevriva, Remote Sensor Net for Wireless Temperature and Gas Measurement on Mining Dumps", In 7th WSEAS International Conference on Remote Sensing (REMOTE , 11). Penang, Malaysia: WSEAS Press, p.124.

Google Scholar

[3] B. Filipova and R. Hajovsky, Using MATLAB for modeling of thermal processes in a mining dump, Recent advances in fluid mechanics and heat & mass transfer. Proceedings of the 9th IASME/WSEAS International Conference on Heat Transfer, Thermal Engineering and Environment, WSEAS Press, p.116.

Google Scholar

[4] J. Stoer and R. Bulirsch, Introduction to Numerical Analysis. New York: Springer Science + Business Media, 2002. ISBN 978-0-387-95452-3.

Google Scholar

[5] L. Lixin and P. Revesz, Interpolation methods for spatio-temporal geographic data, Computers, Environment and Urban Systems, vol. 28, no. 3, p.201–227, Elsevier, (2004).

DOI: 10.1016/s0198-9715(03)00018-8

Google Scholar

[6] G. M. Phillips and P. J. Taylor, Theory and Applications of Numerical Analysis. London: Elsevier Academic Press, 1996. ISBN 0-12-553560-0.

Google Scholar