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Conference Paper: Ultimate drift prediction models of rectangular squat reinforced concrete shear walls
Title | Ultimate drift prediction models of rectangular squat reinforced concrete shear walls |
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Authors | |
Issue Date | 2016 |
Publisher | CRC Press/Balkema. |
Citation | Proceedings of the 24th Australian Conference on the Mechanics of Structures and Materials (ACMSM24), Perth, Western Australia, 6-9 December 2016. In Hao, H & Zhang, C (Eds.), Mechanics of Structures and Materials: Advancements and Challenges, v. 2, p. 1653-1659 How to Cite? |
Abstract | This paper describes a comprehensive assessment of the ultimate drift capacity of rectangular squat Reinforced Concrete (RC) walls through collection of up-to-date experimental database. Axial-moment curves are used to categorise the walls into shear or flexural failure modes. Important parameters contributing to drift, i.e. shear span to depth ratio, axial load ratio, mechanical ratio of reinforcements and confinement effects are identified. Two drift prediction models distinctively for flexural and shear-controlled walls are calibrated through statistical multi-parameter regression analysis. These models demonstrate more reasonable drift predictions for squat walls compared to past models developed mainly for slender walls. Six squat RC walls were tested under high axial load ratio to affirm the reliability of the models to address the unique “squat” phenomenon in shear walls. The drift capacity of existing walls can be estimated and refined reinforcement details can be recommended for future consideration of seismic action in regions without statutory seismic design codes. |
Persistent Identifier | http://hdl.handle.net/10722/243501 |
ISBN |
DC Field | Value | Language |
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dc.contributor.author | Looi, DTW | - |
dc.contributor.author | Su, RKL | - |
dc.contributor.author | Cheng, B | - |
dc.contributor.author | Zhou, MJ | - |
dc.date.accessioned | 2017-08-25T02:55:40Z | - |
dc.date.available | 2017-08-25T02:55:40Z | - |
dc.date.issued | 2016 | - |
dc.identifier.citation | Proceedings of the 24th Australian Conference on the Mechanics of Structures and Materials (ACMSM24), Perth, Western Australia, 6-9 December 2016. In Hao, H & Zhang, C (Eds.), Mechanics of Structures and Materials: Advancements and Challenges, v. 2, p. 1653-1659 | - |
dc.identifier.isbn | 978-1-138-02993-4 | - |
dc.identifier.uri | http://hdl.handle.net/10722/243501 | - |
dc.description.abstract | This paper describes a comprehensive assessment of the ultimate drift capacity of rectangular squat Reinforced Concrete (RC) walls through collection of up-to-date experimental database. Axial-moment curves are used to categorise the walls into shear or flexural failure modes. Important parameters contributing to drift, i.e. shear span to depth ratio, axial load ratio, mechanical ratio of reinforcements and confinement effects are identified. Two drift prediction models distinctively for flexural and shear-controlled walls are calibrated through statistical multi-parameter regression analysis. These models demonstrate more reasonable drift predictions for squat walls compared to past models developed mainly for slender walls. Six squat RC walls were tested under high axial load ratio to affirm the reliability of the models to address the unique “squat” phenomenon in shear walls. The drift capacity of existing walls can be estimated and refined reinforcement details can be recommended for future consideration of seismic action in regions without statutory seismic design codes. | - |
dc.language | eng | - |
dc.publisher | CRC Press/Balkema. | - |
dc.relation.ispartof | Mechanics of Structures and Materials: Advancements and Challenges | - |
dc.title | Ultimate drift prediction models of rectangular squat reinforced concrete shear walls | - |
dc.type | Conference_Paper | - |
dc.identifier.email | Su, RKL: klsu@hkucc.hku.hk | - |
dc.identifier.authority | Su, RKL=rp00072 | - |
dc.identifier.hkuros | 273788 | - |
dc.identifier.volume | 2 | - |
dc.identifier.spage | 1653 | - |
dc.identifier.epage | 1659 | - |
dc.publisher.place | Boca Raton, FL | - |