Performance-based optimization of strut-and-tie models in reinforced concrete deep beams

Liang, Qing Quan and Ng, Anne W. M. (2007) Performance-based optimization of strut-and-tie models in reinforced concrete deep beams. In: 4th International Structural Engineering and Construction Conference, 26-28 Sept 2007, Melbourne, Australia.

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Official URL: http://materialsaustralia.com.au/ISEC-4/Default.htm

Abstract

This paper presents the performance-based optimization of strut-and-tie models in reinforced concrete deep beams. The performance-based optimization (PBO) technique combines performance-based design concepts with modern topology optimization technologies into a single scheme to automatically generate optimal designs of continuum structures. Developing strut-and-tie models in reinforced concrete deep beams is treated as a topology optimization problem of continuum structures. The optimal strut-and-tie model in a concrete deep beam is generated by gradually eliminating inefficient finite elements from the deep beam in an optimization process. Performance-based optimality criteria are incorporated in the PBO method to identify the optimum from the op-timization process. The PBO technique allows the designer to tailor the structure to a specific performance level. Two examples are provided to demonstrate the effectiveness and validity of the PBO technology in generating optimal strut-and-tie models for the design and detailing of reinforced concrete deep beams.

Item Type:Conference or Workshop Item (DEST Category E) (Paper)
Additional Information:Publisher retains copyright of this paper.
Uncontrolled Keywords:reinforced concrete deep beams; performance-based optimization; strut-and-tie models; topology optimization
Fields of Research (FOR2008):09 Engineering > 0905 Civil Engineering > 090506 Structural Engineering
Subjects:290000 Engineering and Technology > 290800 Civil Engineering > 290801 Structural Engineering
Socio-Economic Objective (SEO2008):UNSPECIFIED
ID Code:3284
Deposited By:Dr Stephen Liang
Deposited On:08 Jan 2008 11:53
Last Modified:06 Nov 2008 17:00

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