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

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...

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Bibliographic Details
Published in2009 International Conference on Test and Measurement Vol. 1; pp. 17 - 20
Main Author Qu, Zhi-ming
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.12.2009
Subjects
Civil engineering
CO concentration and distribution
Covariance matrix
Explosions
Fitting
Fluid flow measurement
gas explosion
INLS
Least squares methods
optimal condition
Optimization methods
Road safety
smoke flow
Temperature
Testing
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Summary: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.
ISBN:9781424446995
1424446996
ISSN:2157-5592
DOI:10.1109/ICTM.2009.5412970