scholarly journals Optimization of performance index of self-sensing spray reactive powder concrete based on response surface methodology

2022 ◽  
pp. 100120
Author(s):  
Yunlong Zhang ◽  
Jingxin Sun ◽  
Jing Wang ◽  
Xuesong Qian
2019 ◽  
Vol 950 ◽  
pp. 117-122
Author(s):  
Umut Bektimirova ◽  
Eldar Sharafutdinov ◽  
Aidana Tleuken ◽  
Chang Seon Shon ◽  
Di Chuan Zhang ◽  
...  

The main goal of this study was to optimize the compressive strength of reactive powder concrete (RPC) for an energy storage pile application using response surface method (RSM). The compressive strength of 9 different RPC mixtures along with 3 plain concrete mixtures was determined. Silica fume (SF) content and the water-to-binder ratio (w/b) were selected as parameters to influence the compressive strength of the concrete mixture. RSM regression analysis was used to develop a prediction model of compressive strength. Based on test results and linear interpolation, the combination of 20.46% SF and w/b=0.20 was determined to achieve the highest compressive strength.


Author(s):  
Abrar Muslim ◽  
Marwan Marwan ◽  
Ramli Saifullah ◽  
Muhammad Yahya Azwar ◽  
Darmadi Darmadi ◽  
...  

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