Technical Papers
Jan 29, 2019

Modeling Methods for Collapse Analysis of Reinforced Concrete Frames with Infill Walls

Publication: Journal of Structural Engineering
Volume 145, Issue 4

Abstract

Progressive collapse behavior of RC infilled frames is studied experimentally under quasi-static loading and numerically by using macro (strut) and micro (finite-element) models to simulate the damage propagation within infill walls. A three-strut model is proposed to simulate the overall behavior of infill walls based on the observation that corner regions of infill walls play an important role even after the cracking of the diagonal region in infill walls. The proposed three-strut model is implemented using commercially available software. The accuracy of the proposed method is evaluated by comparing the experimental data with simulated responses from detailed finite-element models and simplified strut models. The modified three-strut model is also compared with other widely used strut models. The comparison shows that the proposed three-strut model predicts the maximum resistance force with higher accuracy. Finally, a simpler model is developed based on the proposed three-strut model for infill walls. This simpler model can easily be implemented by practicing engineers to predict the overall behavior of the infilled frame with acceptable accuracy.

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Acknowledgments

The authors greatly appreciate the funding of this study by the National Natural Science Foundation of China (Grant No. 51578202). The second author’s 1-year visit to Ohio State University (OSU) was funded by the Scientific and Technological Research Council of Turkey. The third author acknowledges the financial support provided by the China Scholarship Council (File No. 201306120170) for his 18-month visit to OSU. This study was also partially supported by the Ohio Supercomputer Center through an allocation of computing time.

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Go to Journal of Structural Engineering
Journal of Structural Engineering
Volume 145Issue 4April 2019

History

Received: Sep 12, 2017
Accepted: Sep 10, 2018
Published online: Jan 29, 2019
Published in print: Apr 1, 2019
Discussion open until: Jun 29, 2019

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Authors

Affiliations

Shuang Li, Aff.M.ASCE [email protected]
Associate Professor, Key Laboratory of Structures Dynamic Behavior and Control of the Ministry of Education, Key Laboratory of Smart Prevention and Mitigation of Civil Engineering Disasters of the Ministry of Industry and Information Technology, Harbin Institute of Technology, Harbin 150090, China. Email: [email protected]
Mehmet Metin Kose [email protected]
Professor, Dept. of Civil Engineering, Kahramanmaras Sutcu Imam Univ., Kahramanmaras 46050-9, Turkey; formerly, Visiting Scholar, Dept. of Civil, Environmental and Geodetic Engineering, Ohio State Univ., Columbus, OH 43210. Email: [email protected]
Formerly, Ph.D. Student, Key Laboratory of Structures Dynamic Behavior and Control of the Ministry of Education, Harbin Institute of Technology, Harbin 150090, China; formerly, Visiting Scholar, Dept. of Civil, Environmental and Geodetic Engineering, Ohio State Univ., Columbus, OH 43210; presently, Lecturer, School of Resources and Civil Engineering, Northeastern Univ., Shenyang 110819, China (corresponding author). Email: [email protected]
Halil Sezen, F.ASCE [email protected]
Professor, Dept. of Civil, Environmental and Geodetic Engineering, Ohio State Univ., Columbus, OH 43210. Email: [email protected]

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