Estimation Method for Metal Damage Struck by Lightning Considering Probability Distribution of Lightning Current Parameters

Taking the commonly used metal material aluminum 3003 as an example, and based on the simulated lightning current metal damage test results in the four typical compositions of actual lightning current, the damage characterization parameters such as damage area and damage depth of aluminum 3003 alloy...

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Autores principales: LI Tianwei, LIU Lei, CHEN Jian
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Lenguaje:ZH
Publicado: Editorial Office of Journal of Shanghai Jiao Tong University 2020
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Acceso en línea:https://doaj.org/article/999a44ca6b7d4ab3b951e87e7f005af8
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spelling oai:doaj.org-article:999a44ca6b7d4ab3b951e87e7f005af82021-11-04T09:34:51ZEstimation Method for Metal Damage Struck by Lightning Considering Probability Distribution of Lightning Current Parameters1006-246710.16183/j.cnki.jsjtu.2019.115https://doaj.org/article/999a44ca6b7d4ab3b951e87e7f005af82020-12-01T00:00:00Zhttp://xuebao.sjtu.edu.cn/CN/10.16183/j.cnki.jsjtu.2019.115https://doaj.org/toc/1006-2467Taking the commonly used metal material aluminum 3003 as an example, and based on the simulated lightning current metal damage test results in the four typical compositions of actual lightning current, the damage characterization parameters such as damage area and damage depth of aluminum 3003 alloy and lightning current parameters were analyzed. Taking the building as an example, and based on the parameter analysis of the combined probability distribution of lightning strike density, lightning interception area, lightning current amplitude and transferred charge amount, the annual average number of lightning strikes and the distribution characteristics of lightning current parameters of metal materials were calculated. A damage estimation method considering the probability distribution of lightning current parameters when a metal material with aluminum 3003 alloy and building carrier as an example was subjected to lightning strikes was established. The results show that the damage depth of the aluminum 3003 alloy material under the action of short-term first return current component and short-duration subsequent return current component is less than 0.1 mm, which can be ignored. The damage area of the aluminum 3003 alloy material is proportional to the magnitude of the lightning current suffered, and the damage depth of the alloy is proportional to the amount of charge transferred by the lightning current.LI TianweiLIU LeiCHEN JianEditorial Office of Journal of Shanghai Jiao Tong Universityarticlemetal materialdirect lightningaverage annual frequencylightning current parametersprobability distributionEngineering (General). Civil engineering (General)TA1-2040Chemical engineeringTP155-156Naval architecture. Shipbuilding. Marine engineeringVM1-989ZHShanghai Jiaotong Daxue xuebao, Vol 54, Iss 12, Pp 1252-1258 (2020)
institution DOAJ
collection DOAJ
language ZH
topic metal material
direct lightning
average annual frequency
lightning current parameters
probability distribution
Engineering (General). Civil engineering (General)
TA1-2040
Chemical engineering
TP155-156
Naval architecture. Shipbuilding. Marine engineering
VM1-989
spellingShingle metal material
direct lightning
average annual frequency
lightning current parameters
probability distribution
Engineering (General). Civil engineering (General)
TA1-2040
Chemical engineering
TP155-156
Naval architecture. Shipbuilding. Marine engineering
VM1-989
LI Tianwei
LIU Lei
CHEN Jian
Estimation Method for Metal Damage Struck by Lightning Considering Probability Distribution of Lightning Current Parameters
description Taking the commonly used metal material aluminum 3003 as an example, and based on the simulated lightning current metal damage test results in the four typical compositions of actual lightning current, the damage characterization parameters such as damage area and damage depth of aluminum 3003 alloy and lightning current parameters were analyzed. Taking the building as an example, and based on the parameter analysis of the combined probability distribution of lightning strike density, lightning interception area, lightning current amplitude and transferred charge amount, the annual average number of lightning strikes and the distribution characteristics of lightning current parameters of metal materials were calculated. A damage estimation method considering the probability distribution of lightning current parameters when a metal material with aluminum 3003 alloy and building carrier as an example was subjected to lightning strikes was established. The results show that the damage depth of the aluminum 3003 alloy material under the action of short-term first return current component and short-duration subsequent return current component is less than 0.1 mm, which can be ignored. The damage area of the aluminum 3003 alloy material is proportional to the magnitude of the lightning current suffered, and the damage depth of the alloy is proportional to the amount of charge transferred by the lightning current.
format article
author LI Tianwei
LIU Lei
CHEN Jian
author_facet LI Tianwei
LIU Lei
CHEN Jian
author_sort LI Tianwei
title Estimation Method for Metal Damage Struck by Lightning Considering Probability Distribution of Lightning Current Parameters
title_short Estimation Method for Metal Damage Struck by Lightning Considering Probability Distribution of Lightning Current Parameters
title_full Estimation Method for Metal Damage Struck by Lightning Considering Probability Distribution of Lightning Current Parameters
title_fullStr Estimation Method for Metal Damage Struck by Lightning Considering Probability Distribution of Lightning Current Parameters
title_full_unstemmed Estimation Method for Metal Damage Struck by Lightning Considering Probability Distribution of Lightning Current Parameters
title_sort estimation method for metal damage struck by lightning considering probability distribution of lightning current parameters
publisher Editorial Office of Journal of Shanghai Jiao Tong University
publishDate 2020
url https://doaj.org/article/999a44ca6b7d4ab3b951e87e7f005af8
work_keys_str_mv AT litianwei estimationmethodformetaldamagestruckbylightningconsideringprobabilitydistributionoflightningcurrentparameters
AT liulei estimationmethodformetaldamagestruckbylightningconsideringprobabilitydistributionoflightningcurrentparameters
AT chenjian estimationmethodformetaldamagestruckbylightningconsideringprobabilitydistributionoflightningcurrentparameters
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