Technical Papers
Apr 20, 2012

Reliability Assessment of Damaged RC Moment-Resisting Frame against Progressive Collapse under Static Loading Conditions

Publication: Journal of Engineering Mechanics
Volume 139, Issue 1

Abstract

Prevention of structures against progressive collapse has become a concern of increasing significance and the alternative load path method (ALPM) is the extensively acknowledged approach in this area of research. With the basis of ALPM and by amalgamation of the Monte Carlo simulation method and an iterative algorithm, a new approach is developed in this paper to assess the reliability of ductile RC frame structures when subjected to one column failure. This paper focuses on the construction and solution of the performance function of the damaged structure under static service loadings. With this intention, three types of critical zones are identified and an optimum model is presented to determine the possible failure modes for each zone. By employing the virtual work principle and critical collapse mechanism criterion, the performance function is established in terms of minimum internal virtual work and external virtual work done by service loadings. Three equations containing the interaction between the axial forces and bending strength of structural members are evolved to calculate this function, and by solving these equations from the top floor to the floor of the failed column the performance of the damaged structure can be appraised.

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Published In

Go to Journal of Engineering Mechanics
Journal of Engineering Mechanics
Volume 139Issue 1January 2013
Pages: 1 - 17

History

Received: Jan 22, 2010
Accepted: Apr 18, 2012
Published online: Apr 20, 2012
Published in print: Jan 1, 2013

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Authors

Affiliations

Zhiwei Huang
Senior Engineer, J P Kenny London, J P Kenny Ltd., Compass Point, 79-87 Kingston Rd., Staines TW18 1DT, U.K.
Associate Professor, School of Civil and Environmental Engineering, Nanyang Technological Univ., 50 Nanyang Ave., Singapore 639798 (corresponding author). E-mail: [email protected]
Piyali Sengupta
Ph.D. Candidate, School of Civil and Environmental Engineering, Nanyang Technological Univ., 50 Nanyang Ave., Singapore 639798.

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