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Identification of lightning vulnerability points on complex grounded structures
Division for Electricity, Uppsala University.ORCID iD: 0000-0002-6375-6142
Division for Electricity, Uppsala University.
Lightning Research Pte. Ltd., Kuala Lumpur, Malaysia.
2007 (English)In: Journal of Electrostatics, ISSN 0304-3886, Vol. 65, no 9, 562-570 p.Article in journal (Refereed) Published
Abstract [en]

The identification of the most vulnerable points on a given structure to be struck by lightning is an important issue on the design of areliable lightning protection system. Traditionally, these lightning strike points are identified using the rolling sphere method, through anempirical correlation with the prospective peak return stroke current. However, field observations in Kuala Lumpur and Singapore haveshown that the points where lightning flashes strike buildings also depend on the height and geometry of the structure. Since a lightningstrike point is believed to be the place on a grounded structure where a propagating upward leader is first initiated, a physical leaderinception model is used here to estimate the background electric field required to initiate a stable upward leader from the corners of somecomplex buildings. The computed location of the points from where leaders are incepted are compared with the damaged points onbuildings struck by lightning. The observed lightning strike points coincide rather well with the corners of the buildings which arecharacterized by lower leader inception electric fields. Furthermore, it is found that the geometry of the buildings significantly influencesthe conditions necessary to initiate upward leaders and, therefore, the location of the most likely strike points.

Place, publisher, year, edition, pages
Elsevier, 2007. Vol. 65, no 9, 562-570 p.
Keyword [en]
Lightning; Lightning protection; Lightning strike points; Air terminals; External lighting protection systems
National Category
Electrical Engineering, Electronic Engineering, Information Engineering
URN: urn:nbn:se:kth:diva-72511DOI: 10.1016/j.elstat.2006.12.003ISI: 000248704500003OAI: diva2:487708

QC 20120523

Available from: 2012-01-31 Created: 2012-01-31 Last updated: 2014-02-21Bibliographically approved

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