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2023 | OriginalPaper | Buchkapitel

Numerical Analysis of Reinforced Concrete Composite Wall Under Concentric Axial Loading

verfasst von : S. S. Yee, K. H. Kong, R. J. Y. Liew

Erschienen in: Proceedings of The 17th East Asian-Pacific Conference on Structural Engineering and Construction, 2022

Verlag: Springer Nature Singapore

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Abstract

Singapore is one of leading countries developing advanced prefabrication technology for high-rise buildings. The high-quality precast technology is achieved in Singapore mainly due to the good quality of regulation processes. One of the precast technologies adopted is Prefabricated Prefinished Volumetric Construction (PPVC), as part of Singapore Construction Industry Transformation Map. Concrete PPVC method involves structural members, such as beams, columns, slabs, and walls, to be designed and manufactured off-site and transported on-site for installation. There is a need to ensure the structural behaviour of connectivity between PPVC modules. Concrete PPVC connectivity allows proper load transfer to the entire building. A wall-to-wall connection between concrete PPVC modules is introduced in this paper. A reinforced concrete composite sandwiched wall panel is modelled in ABAQUS. Wall panel is formed by connecting two precast reinforced concrete wall panels with grout infill. The concrete property of wall panel is assumed by using ABAQUS built-in function of Concrete Damaged Plasticity model to study the structural behaviour. The wall panel is subjected to axial load as the wall member is to support gravity loads throughout the concrete PPVC building. This paper aims to study the wall panel structural behaviour under gravity axial load and the failure mechanism in numerical analysis. The wall panel is expected to achieve failure mechanism in buckling due to high axial load and debonding of concrete-to-steel reinforcement region at high stress region.

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Metadaten
Titel
Numerical Analysis of Reinforced Concrete Composite Wall Under Concentric Axial Loading
verfasst von
S. S. Yee
K. H. Kong
R. J. Y. Liew
Copyright-Jahr
2023
Verlag
Springer Nature Singapore
DOI
https://doi.org/10.1007/978-981-19-7331-4_88