Investigation of lightning ignition characteristics based on an impulse current generator
Abstract Lightning strike is an important ignition source of forest fires. Artificial lightning discharge is a method for studying lightning fires. However, there is not enough data on the ignition of combustible materials caused by artificial lightning discharge. Previous studies on lightning ignit...
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Online Access: | https://doi.org/10.1002/ece3.5855 |
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doaj-5140064f887446d5aa47780d12d87cf42021-03-02T06:40:51ZengWileyEcology and Evolution2045-77582019-12-01924142341424310.1002/ece3.5855Investigation of lightning ignition characteristics based on an impulse current generatorJunwei Feng0Hao Shen1Dong Liang2Safety Engineering Research Center School of Intelligent System Engineering Sun Yat‐sen University Guangzhou ChinaSafety Engineering Research Center School of Intelligent System Engineering Sun Yat‐sen University Guangzhou ChinaSafety Engineering Research Center School of Intelligent System Engineering Sun Yat‐sen University Guangzhou ChinaAbstract Lightning strike is an important ignition source of forest fires. Artificial lightning discharge is a method for studying lightning fires. However, there is not enough data on the ignition of combustible materials caused by artificial lightning discharge. Previous studies on lightning ignition have focused on the heating and ignition effects of long continuing current (LCC), but the function of the impulse current that occurs before the LCC has not been taken into account. In this paper, an impulse current generator of 8/20 μs was used to simulate the ignition effect of impulse current on conifer needle beds. Different current waveforms have different ignition characteristics. We compared five kinds of conifer needle beds. The average of the current needed to ignite the needle bed of Larix gmelinii (Ruprecht) Kuzeneva was the smallest, and the average of the breakdown voltage was the smallest for the needle bed of Pinus massoniana Lamb. The total energy input to the conifer needle beds was fitted as a multiple log‐linear regression model. The heating energy proportion value varies with different bulk densities, current amplitudes, and moisture contents. Based on this data, the heating energy of the impulse current transferred to the needles can be predicted. This information in conjunction with previous research on LCC was used to derive a lightning ignition prediction model of the full waveform for conifer needle beds.https://doi.org/10.1002/ece3.5855conifer needleimpulse currentlightning fireprediction model |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Junwei Feng Hao Shen Dong Liang |
spellingShingle |
Junwei Feng Hao Shen Dong Liang Investigation of lightning ignition characteristics based on an impulse current generator Ecology and Evolution conifer needle impulse current lightning fire prediction model |
author_facet |
Junwei Feng Hao Shen Dong Liang |
author_sort |
Junwei Feng |
title |
Investigation of lightning ignition characteristics based on an impulse current generator |
title_short |
Investigation of lightning ignition characteristics based on an impulse current generator |
title_full |
Investigation of lightning ignition characteristics based on an impulse current generator |
title_fullStr |
Investigation of lightning ignition characteristics based on an impulse current generator |
title_full_unstemmed |
Investigation of lightning ignition characteristics based on an impulse current generator |
title_sort |
investigation of lightning ignition characteristics based on an impulse current generator |
publisher |
Wiley |
series |
Ecology and Evolution |
issn |
2045-7758 |
publishDate |
2019-12-01 |
description |
Abstract Lightning strike is an important ignition source of forest fires. Artificial lightning discharge is a method for studying lightning fires. However, there is not enough data on the ignition of combustible materials caused by artificial lightning discharge. Previous studies on lightning ignition have focused on the heating and ignition effects of long continuing current (LCC), but the function of the impulse current that occurs before the LCC has not been taken into account. In this paper, an impulse current generator of 8/20 μs was used to simulate the ignition effect of impulse current on conifer needle beds. Different current waveforms have different ignition characteristics. We compared five kinds of conifer needle beds. The average of the current needed to ignite the needle bed of Larix gmelinii (Ruprecht) Kuzeneva was the smallest, and the average of the breakdown voltage was the smallest for the needle bed of Pinus massoniana Lamb. The total energy input to the conifer needle beds was fitted as a multiple log‐linear regression model. The heating energy proportion value varies with different bulk densities, current amplitudes, and moisture contents. Based on this data, the heating energy of the impulse current transferred to the needles can be predicted. This information in conjunction with previous research on LCC was used to derive a lightning ignition prediction model of the full waveform for conifer needle beds. |
topic |
conifer needle impulse current lightning fire prediction model |
url |
https://doi.org/10.1002/ece3.5855 |
work_keys_str_mv |
AT junweifeng investigationoflightningignitioncharacteristicsbasedonanimpulsecurrentgenerator AT haoshen investigationoflightningignitioncharacteristicsbasedonanimpulsecurrentgenerator AT dongliang investigationoflightningignitioncharacteristicsbasedonanimpulsecurrentgenerator |
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1724241980365471744 |