Research on Shear Resistant Capacity and Reliability of Multi-Ribbed Composite Wall in High-Rise Building

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Abstract:

As a new structural system, MRSS (multi-ribbed slab structure) has some applications in multistory building. But theoretical investigation and application study on multi-ribbed composite wall in high-rise building should be developed with various factors composing shear resistant capacity of wall under complicated loads. By means of model test and numerical simulation with FEM (finite element method), shear resistant expression of slab in tall building is set up and reliability index of a representative wall under small earthquake is figured out. Sensitivity of each factor affecting shear strength is evaluated. These works disclose the wall’s load bearing mechanism and make the structure application more feasible and assure the new system safety in practice.

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Periodical:

Key Engineering Materials (Volumes 302-303)

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669-675

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Online since:

January 2006

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© 2006 Trans Tech Publications Ltd. All Rights Reserved

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[1] Jia Y. J: Research on Computational Theory and Design Method of Moderate High-rise Muti-ribbed Slab Structure, Xi'an University of Architecture and Technology(2004).

Google Scholar

[2] Shen J.M. et al: Engineering seismology (China Architecture & Building Press, 2000).

Google Scholar

[3] Unified standard for reliability design of building structures(GB 50068-2001)(China Architecture & Building Press, 2001).

Google Scholar

[4] Iman, R.L. and Conover, W. J.: Small Sample Sensitivity Analysis Techniques for Computer Models, with an Application to Risk Assessment, Communications in Statistics, Part A - Theory and Methods, Vol A9, No. 17, 1980, pp.1749-1842.

DOI: 10.1080/03610928008827996

Google Scholar

[5] Sheskin, D. J.: Handbook of Parametric and Nonparametric Statistical Procedures (CRC Press Inc., Florida, 1997).

Google Scholar