Konkanov Marat, Salem Talal, Jiao Pengcheng, Niyazbekova Rimma, Lajnef Nizar
Technical Faculty, Saken Seifullin Kazakh AgroTechnical University, Nur-Sultan 010011, Kazakhstan.
Department of Civil and Environmental Engineering, Michigan State University, East Lansing, MI 48824, USA.
Sensors (Basel). 2020 Mar 30;20(7):1925. doi: 10.3390/s20071925.
Smart structures have attracted significant research attention in the last decade, mainly due to the capabilities of advanced concrete in electrical resistance-enabled self-sensing. In this study, we present a type of environment-friendly, self-sensing concrete enabled by electrical resistance. Environment-friendly, self-sensing concrete was casted with the additions of byproduct wastes (i.e., coal fly ash (FA), blast furnace slag (BOF) and red mud (RM)) at various volume fractions and cured using the conditions of 3, 7 and 28 days. The self-sensing concrete samples were experimentally tested to investigate the effects of the byproduct wastes on the mechanical and electrical properties (i.e., compressive strength and electrical resistance). In the end, parametric studies were experimentally conducted to investigate the influences of the byproduct wastes on the mechanical and electrical properties of the reported environment-friendly, self-sensing concrete.
在过去十年中，智能结构吸引了大量的研究关注，这主要归功于高性能混凝土具备基于电阻的自传感能力。在本研究中，我们展示了一种基于电阻的环保型自传感混凝土。通过添加不同体积分数的副产品废料（即粉煤灰（FA）、高炉矿渣（BOF）和赤泥（RM））来浇筑环保型自传感混凝土，并在3天、7天和28天的养护条件下进行养护。对自传感混凝土样品进行了实验测试，以研究副产品废料对其力学性能和电学性能（即抗压强度和电阻）的影响。最后，通过实验进行参数研究，以探究副产品废料对所报道的环保型自传感混凝土力学性能和电学性能的影响。
