INLS-based smoke flow and distribution during gas explosion in coal mine

Author

Qu Zhi-ming

Author_Institution

Sch. of Civil Eng., Hebei Univ. of Eng., Handan, China

Volume

1

fYear

2009

fDate

5-6 Dec. 2009

Firstpage

17

Lastpage

20

Abstract

Predicting the concentration and distribution of poisonous gas in the mixture after gas explosion in roadway is greatly significant to safety management and staff protection. Using the improved nonlinear least squares method (INLS), the optimized conditions and characteristics, nonlinear fitting are carried out on poisonous gas concentration data and the fitting formula are deduced. Using this formula and the ones in the references, the CO concentration and distribution are analyzed and studied. Utilizing the improved nonlinear least squares method and the fitting formula, the CO concentration and distribution are simulated. The results show that the fitting formula deduced and in the reference have been made on the more desired results in the application of simulation and comparison. It is concluded and proved that the nonlinear least-squares method, the optimization conditions and features and fitting formula are correct in comparison and simulation.

Keywords

detonation; least squares approximations; mining; optimisation; road accidents; safety; smoke; coal mine; gas explosion; nonlinear fitting; nonlinear least squares method; optimization conditions; poisonous gas distribution; roadway; safety management; smoke distribution; smoke flow; staff protection; Civil engineering; Covariance matrix; Explosions; Fitting; Fluid flow measurement; Least squares methods; Optimization methods; Road safety; Temperature; Testing; CO concentration and distribution; INLS; gas explosion; optimal condition; smoke flow;

fLanguage

English

Publisher

ieee

Conference_Titel

Test and Measurement, 2009. ICTM '09. International Conference on

Conference_Location

Hong Kong

Print_ISBN

978-1-4244-4699-5

Type

conf

DOI

10.1109/ICTM.2009.5412970

Filename

5412970