当前位置: X-MOL 学术Constr. Build. Mater. › 论文详情
Our official English website, www.x-mol.net, welcomes your feedback! (Note: you will need to create a separate account there.)
New aggregate grading models for low-binder self-consolidating and semi-self-consolidating concrete (Eco-SCC and Eco-semi-SCC)
Construction and Building Materials ( IF 7.4 ) Pub Date : 2020-08-03 , DOI: 10.1016/j.conbuildmat.2020.120314
Zeinab Sayed Ali , Masoud Hosseinpoor , Ammar Yahia

In this study, the characteristics of the granular skeletons of 38 low-binder self-consolidating concrete mixtures were investigated to minimize the binder content and volume of paste (VP). 20 granular mixtures were proportioned using 5 different Fuller-Thompson distribution moduli (q) of 0.4 to 0.5 and 4 different volumetric sand-to-total aggregate ratios (S/A) of 0.45–0.60. The investigated Eco-SCC mixtures with a water-to-binder ratio (w/b) of 0.60 and VP of 29% were classified based on their flowability, passing ability, and static stability results. The volume of paste was reduced in two successive steps to 26% and 24% using the Eco-SCC mixtures proportioned with the optimized granular skeletons.

Using 3D image analysis of the aggregate shapes, modified versions of Funk-Dinger model and new grading models as functions of natural logarithm of the particle sizes were proposed for the optimized granular skeletons. The new proposed models were validated with the Eco-SCC mixtures containing the minimum VP of 24% and 2 new aggregate sources. The results showed that considering the realistic dimensions of aggregate using the new proposed logarithmic grading model with q of 2.6212 and S/A of 0.55 can result in a significant reduction in binder content and volume of paste from 309 kg/m3 to 256 kg/m3 and 29% to 24%, respectively, with equivalent workability performance. These also led to decrease the global warming potential values from 206 to 172 e-CO2 kg/m3 of concrete, while higher eco-efficiency indices and workability characteristics, as well as an appropriate compressive strength for housing application were achieved.



中文翻译:

低粘结剂自固和半自固混凝土的新骨料等级模型(Eco-SCC和Eco-semi-SCC)

在这项研究中,研究了38种低黏度自固结混凝土混合物的颗粒骨架特征,以最大程度地减少了黏结剂含量和浆料体积(V P)。使用5种不同的Fuller-Thompson分布模量(q)为0.4到0.5以及4种不同的体积沙与总骨料之比(S / A)为0.45-0.60来对20种颗粒状混合物进行配比。根据水-粘合剂比率(w / b)为0.60,V P为29%的研究的Eco-SCC混合物,根据其流动性,通过能力和静态稳定性结果进行分类。使用与优化的颗粒骨架成比例的Eco-SCC混合物,可通过两个连续的步骤将浆料的体积减少至26%和24%。

通过对骨料形状的3D图像分析,提出了Funk-Dinger模型的改进版本和新的分级模型,作为优化的颗粒骨架的粒径自然对数函数。新提议的模型已通过Eco-SCC混合物进行了验证,该混合物含有至少24%的V P和2个新的聚集源。结果表明,使用新提议的对数分级模型(q值为2.6212,S / A为0.55)考虑集料的实际尺寸,可以使粘结剂含量和浆料体积从309 kg / m 3显着降低至256 kg / m 3和29%到24%,具有同等的可加工性。这些也导致全球变暖潜能值从206 e-CO降低到172达到2 kg / m 3的混凝土,同时获得了更高的生态效率指数和可加工性特征,以及适合房屋应用的抗压强度。

更新日期:2020-08-04
down
wechat
bug