This paper aimed to develop a method to analyze and rank self-consolidating concrete (SCC) according to its robustness, considering isolated and simultaneous variations in its main components, like water (±6%) and cement content (ΔC±), in three matrices with binder to aggregate ratio (rich, intermediate and poor). In the experimental campaign, only water variations (±6%) were considered, and the cement content variations were considered in the analytical method. The method regarded the behavior of SCC in fresh and hardened states and turned out to be potentially useful to the academic community and the industry. The simple additive weighting method was used for that reason, which is probably the most adopted among methods for decisions with multiple variables due to its simplicity. Among the families studied, the poor mixture presented the lowest robustness with variation in water content due to the higher initial w/c ratio. However, for the condition ΔC±, the poor mixture achieved the second-best robustness index. The rich mixture behaved differently as it was ranked second for ±6% of water and the worst for ΔC± due to slump-flow and segregation results. The intermediate matrix presented the highest robustness in both conditions analyzed, water (±6%), and cement content (ΔC±).

中文翻译：

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评估自固结混凝土的稳健性：一种配合比设计程序的方法

本文旨在开发一种根据自固结混凝土 (SCC) 的鲁棒性对其进行分析和分级的方法，考虑其主要成分的孤立和同时变化，如水 (±6%) 和水泥含量 (ΔC±)，在三个具有粘合剂与骨料比率（富、中等和贫）的基质。在实验活动中，只考虑了水的变化（±6%），分析方法中考虑了水泥含量的变化。该方法考虑了 SCC 在新鲜和硬化状态下的行为，结果证明对学术界和工业界可能有用。出于这个原因，使用了简单的加性加权方法，由于其简单性，这可能是多变量决策方法中最常用的方法。在研究的家庭中，由于较高的初始水灰比，较差的混合物在含水量变化时表现出最低的稳健性。然而，对于条件 ΔC±，差的混合物达到了第二好的鲁棒性指数。由于坍落度流动和分离结果，富混合物的表现不同，因为它在 ±6% 的水中排名第二，而 ΔC± 排名最差。中间矩阵在两种分析条件下表现出最高的稳健性，水（±6%）和水泥含量（ΔC±）。