Stochastic Nonlinear Behavior of Reinforced Concrete Frames. II: Numerical Simulation-Reference-Cited by-同舟云学术

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

Published:2016-03 Issue:3 Volume:142 Page:04015163
ISSN:0733-9445
Container-title:Journal of Structural Engineering
language:en
Short-container-title:J. Struct. Eng.

Author:

Feng De-Cheng¹,Li Jie²

Affiliation:

1. Ph.D. Candidate, College of Civil Engineering, Tongji Univ., 1239 Siping Rd., Shanghai 200092, P.R. China.

2. 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).

Publisher

American Society of Civil Engineers (ASCE)

Subject

Mechanical Engineering,Mechanics of Materials,General Materials Science,Building and Construction,Civil and Structural Engineering

Link

http://ascelibrary.org/doi/pdf/10.1061/%28ASCE%29ST.1943-541X.0001443

Reference32 articles.

1. Dynamic response and reliability analysis of non-linear stochastic structures

2. Improving Point Selection in Cubature by a New Discrepancy

3. Clough R. W. Benuska K. L. and Wilson E. L. (1965). “Inelastic earthquake response of tall buildings.” Proc. 3rd World Conf. on Earthquake Engineering Vol. 11 Wellington New Zealand 68–84.

4. Lattice Discrete Particle Model (LDPM) for failure behavior of concrete. II: Calibration and validation

5. Lattice Discrete Particle Model (LDPM) for failure behavior of concrete. I: Theory

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