scholarly journals A New Eco-Friendly Porous Asphalt Mixture Modified by Crumb Rubber and Basalt Fiber

2019 ◽  
Vol 11 (20) ◽  
pp. 5754 ◽  
Author(s):  
Yongchun Cheng ◽  
Chao Chai ◽  
Yuwei Zhang ◽  
Yu Chen ◽  
Bing Zhu

In this paper, the performance of environmentally friendly porous asphalt mixture was optimized by the response surface method. Taking the asphalt-aggregate ratio, crumb-rubber content, and basalt fiber content as the independent variables, the air void, Marshall stability, flow value, Marshall quotient, and Cantabro particle loss are the response values. The best model was determined by fitting the experimental data. After the influence of the independent variables on the response values was clarified, the models were used to optimize the dosage of the asphalt, crumb rubber, and basalt fiber through comprehensive analysis. The results showed that the application of the response surface method can complete the establishment of the models and the optimization of the performance of the porous asphalt mixture with sufficient accuracy. The optimum dosage of the asphalt to aggregate ratio, crumb rubber, and basalt fiber is 4.51%, 11.21%, and 0.42%, respectively. The high-temperature stability, low-temperature crack resistance, water stability, and Cantabro particle loss resistance of the optimized porous asphalt mixture were effectively improved, which provides a reference for the construction of eco-friendly pavement.

2018 ◽  
Vol 2018 ◽  
pp. 1-14 ◽  
Author(s):  
Hanbing Liu ◽  
Mengsu Zhang ◽  
Yubo Jiao ◽  
Liuxu Fu

In this study, crumb rubber and diatomite were used to modify asphalt binder. Wet process was adopted as a preparation method, and the corresponding preparation process was determined firstly. The effects of six preparation parameters (crumb rubber concentration, diatomite concentration, shear time, shear speed, shear temperature, and storing time) on properties of modified asphalt binder (penetration at 25°C, softening point, ductility, viscosity at 135°C, elastic recovery, and penetration index) were investigated, and multiresponse optimization was conducted using the response surface method. The results revealed that softening points, viscosity, elastic recovery, and penetration index increase, while penetration and ductility decrease with the increase of crumb rubber concentration. Softening points, viscosity, and penetration index increase, while penetration and ductility decrease with the increase of diatomite concentration, which presents little influence on elastic recovery of binder. Shear temperature presented significant effects on penetration, softening point, viscosity, and ductility. Shear speed, shear time, and storing time have similar effects on binder properties because of their similar mechanism of action. Based on the model obtained from the response surface method, optimized preparation parameters corresponding to specific criteria can be determined, which possess favorable accuracy compared with experimental results.


2020 ◽  
Vol 10 (19) ◽  
pp. 6753
Author(s):  
Yafeng Gong ◽  
Jiaxiang Song ◽  
Siyuan Lin ◽  
Jianxing Yang ◽  
Yang He ◽  
...  

Rubber aggregates produced from waste rubber materials and environmentally friendly basalt fibers are excellent concrete modification materials, which significantly improve the working performance and mechanical properties of concrete. This paper studied the influences of water-binder ratio, basalt fiber content and rubber content on the properties of rubber-basalt fiber modified concrete (RBFC). Based on the response surface method (RSM), optimization schemes of three preparation parameters were designed. The results showed that all preparation parameters have significant impacts on the slump. The rubber content has a closer relationship with the compressive strength and the quadratic term of the basalt fiber content has a significant impact on the flexural strength. According to the analysis, the optimal mix ratio which possesses reliable accuracy compared with experimental results includes a water-binder ratio of 0.39, a basalt fiber content of 4.56 kg/m3 and a rubber content of 10%,


2020 ◽  
Vol 31 (08) ◽  
pp. 2050114
Author(s):  
Ahmad Shafee ◽  
P. Valipour ◽  
Aurang Zaib ◽  
Houman Babazadeh

The main purpose of this article is to apply response surface method to analyze the residual dyes removal independent variables from the experimental data for dye adsorption onto alkali-activated sand as natural adsorbent from textile wastewater. The independent variables are contact time (3–30[Formula: see text]min) and adsorbent dosage (12.5–100[Formula: see text]g) and the dependent variables are percentage of dye removal and dye adsorbed amount per alkali-activated sand as responses. The effect of the variables, their interaction with each other, the fitted model equations, the adequacy and desirability of the model was evaluated by RSM. Response surface method to analyze the residual dyes removal, which resulted in about 70% dye removal and 30 [Formula: see text][Formula: see text]mg/g dye adsorbed, with 0.983 of desirability for fitted model. Finally, the initial dye concentration effect was investigated.


2020 ◽  
Author(s):  
Stanisław Konopka ◽  
Beata Piłat

The aim of the current study is to optimize the conditioning process of a primitive rye called (in Polish) krzyca which has recently been reintroduced to farming. The experiment was conducted according to the Box-Behnken model with three independent variables: the temperature of water used for grain conditioning (10, 15, 20 oC), the duration of the conditioning process (4, 10, 16 h) and the final grain moisture (13, 14, 15 %). In the obtained flours, four dependent variables were determined (time of grain milling, yield of extraction flour, ash content of flour and falling number value). The obtained polynomial equations and response surface method showed on significance of the used ranges of independent values, with the highest impact noted for flour ash and falling number values.


2014 ◽  
Vol 134 (9) ◽  
pp. 1293-1298
Author(s):  
Toshiya Kaihara ◽  
Nobutada Fuji ◽  
Tomomi Nonaka ◽  
Yuma Tomoi

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