Technical Papers
Nov 6, 2015

Stochastic Nonlinear Behavior of Reinforced Concrete Frames. II: Numerical Simulation

Publication: Journal of Structural Engineering
Volume 142, Issue 3

Abstract

Experimental investigations on the stochastic nonlinear behavior of eight half-scale reinforced concrete (RC) frames with the same conditions in the companion paper indicates that the coupling effect between randomness and nonlinearity of concrete will cause a remarkable fluctuation in structural nonlinear responses. In the current paper, a validation program is presented through numerical simulation. Deterministic nonlinear analysis of test specimens is performed on the basis of a force-based beam–column element model. Probability density evolution method (PDEM) is introduced to analyze the stochastic response analysis of structures. Probability density functions of the stochastic structural responses of the specimens are provided at both the load–displacement level and internal-force level. Comparative studies between numerical and experimental results reveal that the numerical method in conjunction with PDEM can not only qualify the fundamental trend of stochastic nonlinear responses of structures but also generate the probabilistic details in structural damage evolution.

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Acknowledgments

Financial supports from the National Natural Science Foundation of China (Grant Nos. 51261120374 and 91315301-01) are greatly appreciated. The authors would like to acknowledge the kind help of Building Structure Laboratory at Tongji University to accomplish the experiments.

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Published In

Go to Journal of Structural Engineering
Journal of Structural Engineering
Volume 142Issue 3March 2016

History

Received: Nov 20, 2014
Accepted: Sep 18, 2015
Published online: Nov 6, 2015
Published in print: Mar 1, 2016
Discussion open until: Apr 6, 2016

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Authors

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De-Cheng Feng [email protected]
Ph.D. Candidate, College of Civil Engineering, Tongji Univ., 1239 Siping Rd., Shanghai 200092, P.R. China. E-mail: [email protected]
Jie Li, Aff.M.ASCE [email protected]
Professor, The State Key Laboratory on Disaster Reduction in Civil Engineering and College of Civil Engineering, Tongji Univ., 1239 Siping Rd., Shanghai 200092, P.R. China (corresponding author). E-mail: [email protected]

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