Probabilistic-based nonlinear analysis of a reinforced concrete railway bridge

2015 ◽  
Vol 105 (26) ◽  
pp. 1-8
Author(s):  
João Fernandes ◽  
José C Matos ◽  
Daniel V Oliveira
2014 ◽  
Vol 606 ◽  
pp. 229-232 ◽  
Author(s):  
Petr Tej ◽  
Vítězslav Vacek ◽  
Jiří Kolísko ◽  
Jindřich Čech

The paper focuses on a computer nonlinear analysis of the formation and development of cracks in a concrete slab exposed to a uniform continuous load on the lower surface. The analysis is based on an actual example of the formation and development of cracks in a basement slab exposed to ground water buoyancy.


2014 ◽  
Vol 7 (5) ◽  
pp. 879-904 ◽  
Author(s):  
E. Parente Jr ◽  
G. V. Nogueira ◽  
M. Meireles Neto ◽  
L. S. Moreira

The analysis of reinforced concrete structures until failure requires the consideration of geometric and material nonlinearities. However, nonlinear analysis is much more complex and costly than linear analysis. In order to obtain a computationally efficient approach to nonlinear analysis of reinforced concrete structures, this work presents the formulation of a nonlinear plane frame element. Geometric nonlinearity is considered using the co-rotational approach and material nonlinearity is included using appropriate constitutive relations for concrete and steel. The integration of stress resultants and tangent constitutive matrix is carried out by the automatic subdivision of the cross-section and the application of the Gauss quadrature in each subdivision. The formulation and computational implementation are validated using experimental results available in the literature. Excellent results were obtained.


2011 ◽  
Vol 295-297 ◽  
pp. 704-707
Author(s):  
Xin Jian Wang ◽  
Shan Shan Hao ◽  
Xin Xi ◽  
Xing Min Hou ◽  
Shu Ying Qu

In order to simplify the nonlinear analysis of reinforced concrete, a new study on concrete strength criterion under tension condition is made, and more simple and accurate practical calculation equations are put forward. The results from the equations agree well with the experimental data.


Structures ◽  
2022 ◽  
Vol 35 ◽  
pp. 303-313
Author(s):  
Mohamed Tahiri ◽  
Abdellatif Khamlichi ◽  
Mohammed Bezzazi

2021 ◽  
Vol 7 (1) ◽  
Author(s):  
Sukhmani Kaur ◽  
Pritpal Kaur ◽  
Inderpreet Kaur ◽  
Sushant Gupta

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