scholarly journals Rate sensitivity analysis of structural behaviors of recycled aggregate concrete frame

2021 ◽  
pp. 103634
Author(s):  
Changqing Wang ◽  
Jianzhuang Xiao ◽  
Chaolong Qi ◽  
Chunxiang Li
2009 ◽  
Vol 417-418 ◽  
pp. 745-748
Author(s):  
Jian Zhuang Xiao ◽  
M.M. Tawana ◽  
Xiao Hui Zhu

With the achievements made in the research of mechanical properties for recycled aggregate concrete, this paper adopts the method of nonlinear finite element to analyze the seismic behavior of frame joints. The frame joints are made of recycled aggregate concrete. It also takes into account the bond behavior between steel bars and recycled aggregate concrete in the core area of the joints, and the force-displacement curve of the joints is calculated. Nonlinear finite element analysis shows that the results of the calculations are in accordance with the test results. It is concluded in this paper that, built models with nonlinear finite element method can be applied in simulating exactly the same seismic behavior of frame joints under low frequency reversed lateral loading.


2011 ◽  
Vol 194-196 ◽  
pp. 1958-1961
Author(s):  
Chao Liu ◽  
Guo Liang Bai ◽  
Hong Jin Zhao

A comparative study is conducted on the seismic behaviors of three recycled aggregate concrete (RAC) frame columns under low cyclic load. The recycled aggregate replacement rate is 0%, 50%, 100% respectively. The mechanical characteristics, failure mode, hysteresis loops, ductility and consumption characteristics of frame columns with different recycled aggregate replacement rate and same axial compression ratio are analyzed in this paper comparatively. The rule characteristics between ordinary concrete and recycled aggregate concrete frame columns are found. The result indicates that failure process of recycled aggregate concrete frame columns is similar to that of ordinary concrete. The seismic behaviors of recycled aggregate concrete frame columns, including the ductility etc., still meet the related requirements of earthquake-resistance designing. So it is concluded in this paper that the recycled aggregate concrete can be applied in concrete structures. Because of its properties are certain deficiencies, some tectonic measures must be enhanced.


2013 ◽  
Vol 2013 ◽  
pp. 1-10 ◽  
Author(s):  
Sangyong Kim ◽  
Hee-Bok Choi ◽  
Yoonseok Shin ◽  
Gwang-Hee Kim ◽  
Deok-Seok Seo

This research aims to optimize the mixing proportion of recycled aggregate concrete (RAC) using neural networks (NNs) based on genetic algorithms (GAs) for increasing the use of recycled aggregate (RA). NN and GA were used to predict the compressive strength of the concrete at 28 days. And sensitivity analysis of the NN based on GA was used to find the mixing ratio of RAC. The mixing criteria for RAC were determined and the replacement ratio of RAs was identified. This research reveal that the proposed method, which is NN based on GA, is proper for optimizing appropriate mixing proportion of RAC. Also, this method would help the construction engineers to utilize the recycled aggregate and reduce the concrete waste in construction process.


2012 ◽  
Vol 226-228 ◽  
pp. 1076-1080 ◽  
Author(s):  
Bo Hu ◽  
Bing Kang Liu ◽  
Cheng Gang Wang

According to the pseudo static tests on a two-storey and single-span concrete frame made with recycled aggregates, the failure pattern, hysteresis loop curves, displacement ductility of the recycled aggregate concrete frame are investigated. The time histories of loads and displacements are decomposed to four different levels by using the wavelet packet transform. Based on the decomposition coefficients on the 4th level, a seismic damage index is developed and presented in this paper. The cumulative damage process of this recycled aggregate concrete frame under low reverse cyclic loading is also analyzed by using this damage index. The experiment results clearly indicate that recycled aggregate concrete frames have excellent seismic behaviors. The damage index given in this paper can accurately and effectively reflect the severity of damage for structures under different loading states.


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