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Restraint formulation for wall on slab at early age concrete structures by using ANN
Luleå University of Technology, Department of Civil, Environmental and Natural Resources Engineering, Structural and Construction Engineering.
2012 (English)Report (Other academic)
Abstract [en]

Existing restraint curves have been applied to the method of artificial neural networks (ANN) to model restraint in the wall for the typical structure wall-on-slab. It has been proven that ANN is capable of modeling the restraint with good accuracy. The usage of the neural network has been demonstrated to give a clear picture of the relative importance of the input parameters. Further, it is shown that the results from the neural network can be represented by a series of basic weight and response functions. Thus, the results can easily be made available to any engineer without use of complicated software.

Place, publisher, year, edition, pages
Luleå: Luleå tekniska universitet, 2012. , p. 36
Series
Technical report / Luleå University of Technology, ISSN 1402-1536
National Category
Infrastructure Engineering
Research subject
Structural Engineering
Identifiers
URN: urn:nbn:se:ltu:diva-23192Local ID: 5f251504-0bea-4a39-9437-172e4de56444ISBN: 978-91-7439-548-8 (print)OAI: oai:DiVA.org:ltu-23192DiVA, id: diva2:996241
Note
Godkänd; 2012; 20130107 (majali)Available from: 2016-09-29 Created: 2016-09-29 Last updated: 2017-11-24Bibliographically approved

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Al-Gburi, Majid
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CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • 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