June  1, 2021

Episode 1: neurocret chapter number one

The concrete is the second most consumed material on earth and the most widely used construction material in the world(Long & Wang, 2021; Tie et al., 2020); it provides construction of durable, affordable, functional, and attractive structures from buildings to roads, runways, bridges, dams, tunnels, skyscrapers and sewage systems. Since time ago, wet concrete is being poured, and throughout the whole life cycle of the concrete product, many important parameters (such as humidity, temperature, pressure, and load) must be adequately considered ensuring its safety and reliable operation. During its operating stage, it is essential to control aspects of mechanical performance and durability to guarantee that it has reached the required structural strength.
Currently, the use of sensors for the control of aspects, mentioned above, in structures is necessary to monitor the comportment of buildings to mitigate the affectation for use, age of materials, and soil settlement. This practice for monitoring structures is complicated, due to the sensors high cost, resistance, and durability. According to some researches, the use of optical fiber and wireless sensor networks (WSN) is usual, but these elements are not the solution, because a high percentage (70%) of the sensors either fail or are inoperative after their first year (Segura et al., 2019) .It means that the risk of controlling and assessing the resistance and comportment of buildings in real time will be compromised. For this purpose, the real-time health state of constructions needs to be detected and analyzed as a base for maintenance and rehabilitation, and this technique is the so-called structural health monitoring (SHM) Sensors(Cholker & Tantray, 2020; García-Macías et al., 2017), as an important part of SHM, can change their internal conditions with detectable parameters such as stress, strain, and temperature, and thus, reflect the state of buildings. Nonetheless, the proposed SHM methods negates indirect methodologies and may have negative effects on the physical and mechanical properties of cement-based structures(Cai et al., 2021; J. Zhang et al., 2020). Accordingly, electrically conductive cementitious composites (ECCCs) can be an ideal solution. Smart composite materials, ECCCs can themselves serve as sensors to monitor the structural electrical resistivity as to evaluate their structural integrity (Meehan et al., 2010; Junbo Sun et al., 2021)
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