Performance design of reinforced concrete slabs using commercial finite element software

Khennane, Amar (2005) Performance design of reinforced concrete slabs using commercial finite element software. Structural Concrete, 6 (4). pp. 141-147. ISSN 1464-4177

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Abstract

[Abstract]: A fundamental task in the design of reinforced concrete structures is to search for minimum cost through the variation and placement of the quantities of the relatively expensive steel reinforcement without jeopardising the safety of the structure. The use of nonlinear finite element can assist greatly in achieving an economical and safe design. However, commercially available finite element softwares are not designed for this task as most of them have been developed to be used as verification rather than design tools. 'Home-written' software can be designed to achieve this task, however it may suffer from serious drawbacks such as bugs, lack of user friendliness, lack of generality, and unproven reliability. This present study shows that if a given software comes with a scripting interface, it can be easily transformed from a verification tool to a performance design tool. This is illustrated with the use of ABAQUS [1], but it can be adapted to any other software with a scripting interface.


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Item Type: Article (Commonwealth Reporting Category C)
Refereed: Yes
Item Status: Live Archive
Depositing User: epEditor USQ
Faculty / Department / School: Historic - Faculty of Engineering and Surveying - Department of Agricultural, Civil and Environmental Engineering
Date Deposited: 11 Oct 2007 00:27
Last Modified: 02 Jul 2013 22:33
Uncontrolled Keywords: performance design, RC slabs, reinforced concrete, Abaqus, Python, optimum reinforcement
Fields of Research (FOR2008): 08 Information and Computing Sciences > 0803 Computer Software > 080399 Computer Software not elsewhere classified
09 Engineering > 0905 Civil Engineering > 090502 Construction Engineering
08 Information and Computing Sciences > 0803 Computer Software > 080309 Software Engineering
URI: http://eprints.usq.edu.au/id/eprint/708

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