Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf
Prediction of heat release rates of surface materials in large-scale fire test based on cone calorimeter results
RISE, SP – Sveriges Tekniska Forskningsinstitut, SP Fire Research.
Brandteknik, material (BRm).
1988 (English)Report (Refereed)
Abstract [en]

A simple theory is suggested for the important fire engineering problem of predicting large-scale test fires of surface materials based on information obtained from small-scale tests.

Place, publisher, year, edition, pages
1988. , 364-370 p.
Series
SP Rapport, ISSN 0284-5172 ; 1988:11
National Category
Natural Sciences
Identifiers
URN: urn:nbn:se:ri:diva-4007Local ID: 5994ISBN: 91-7848-097-3 (print)OAI: oai:DiVA.org:ri-4007DiVA: diva2:961640
Available from: 2016-09-07 Created: 2016-09-07Bibliographically approved

Open Access in DiVA

fulltext(910 kB)6 downloads
File information
File name FULLTEXT01.pdfFile size 910 kBChecksum SHA-512
3f618f4f8dc9c908828a8826caf09927eeabc25f881611df1e0420cdbdd30fb839dbb94f1871fef08db9280cc8733f338746a84c35a652e5ff7cc36745421fb4
Type fulltextMimetype application/pdf

By organisation
SP Fire ResearchBrandteknik, material (BRm)
Natural Sciences

Search outside of DiVA

GoogleGoogle Scholar
Total: 6 downloads
The number of downloads is the sum of all downloads of full texts. It may include eg previous versions that are now no longer available

Total: 2 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf
v. 2.28.0