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
On fatigue life under stationary Gaussian random loads
1973 (English)In: Engineering Fracture Mechanics, ISSN 0013-7944, E-ISSN 1873-7315, Vol. 5, no 4, p. 993-1007Article in journal (Refereed) Published
Abstract [en]

Load parameters for a stationary Gaussian random load are taken as the location, scale and shape parameters of its power spectrum. The centre frequency of a power spectrum is proposed as a measure of fatigue life. A fatigue life function, formulated in terms of the load parameters, is evaluated from the test results obtained by fatigue testing a structural steel under six different power spectral shapes. The concept of a shape operator is employed to correlate fatigue lives under different power spectral shapes

Place, publisher, year, edition, pages
1973. Vol. 5, no 4, p. 993-1007
Identifiers
URN: urn:nbn:se:ltu:diva-2476Local ID: 018776e4-0402-4368-a8f3-5cc44bb1e8dcOAI: oai:DiVA.org:ltu-2476DiVA, id: diva2:975328
Note
Upprättat; 1973; 20131030 (andbra)Available from: 2016-09-29 Created: 2016-09-29 Last updated: 2018-01-16Bibliographically approved

Open Access in DiVA

No full text in DiVA

Authority records BETA

Talreja, Ramesh

Search in DiVA

By author/editor
Talreja, Ramesh
In the same journal
Engineering Fracture Mechanics

Search outside of DiVA

GoogleGoogle Scholar

urn-nbn

Altmetric score

urn-nbn
Total: 9 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