Generating optimal strut-and-tie models in prestressed concrete beams by performance-based optimization

Liang, Qing Quan and Xie, Yi Min and Steven, Grant P. (2001) Generating optimal strut-and-tie models in prestressed concrete beams by performance-based optimization. ACI Structural Journal, 98 (2). pp. 226-232. ISSN 0889-3241

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Abstract

This paper deals with automatic generation of optimal strut-and-tie models in prestressed concrete beams by the performance-based optimization (PBO) method. In the present approach, developing strut-and-tie models in prestressed concrete members is transformed to the topology optimization problem of continuum structures. By treating prestressing forces as external loads, prestressed concrete beams can be analyzed, optimized, and dimensioned with strut-and-tie models like reinforced concrete beams. Optimal strut-and-tie models in nonprestressed, partially prestressed, and fully prestressed concrete beams are investigated by using the performance-based optimization technique. It is demonstrated that the magnitude of prestressing farces significantly affects the layouts of optimal strut-and-tie models in prestressed concrete members. The performance-based optimization method is shown to be effective in developing reliable strut-and-tie models for the design of prestressed concrete beams.


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Item Type: Article (Commonwealth Reporting Category C)
Refereed: Yes
Item Status: Live Archive
Additional Information: Deposited with permission of publisher.
Depositing User: Dr Stephen Liang
Faculty / Department / School: Historic - Faculty of Engineering and Surveying - Department of Agricultural, Civil and Environmental Engineering
Date Deposited: 11 Oct 2007 01:12
Last Modified: 02 Jul 2013 22:46
Uncontrolled Keywords: performance-based optimization, topology optimization, strut-and-tie models, prestressed concrete
Fields of Research (FOR2008): 09 Engineering > 0905 Civil Engineering > 090506 Structural Engineering
Identification Number or DOI: 413DF
URI: http://eprints.usq.edu.au/id/eprint/2674

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