An experimental research design on IoT curing method of concrete surface and estimating compressive strength
摘要
Concrete remains an indispensable material in modern infrastructure due to its superior strength, durability, and adaptability. However, the growing scarcity of potable water poses a significant challenge, as water is a critical component in both the mixing and curing phases. Conventional curing practices demand continuous water application for approximately 28 days to achieve target strength, leading to excessive water consumption, evaporation losses, and elevated project costs. With increasing environmental and societal pressures on freshwater resources, sustainable alternatives are essential. To address this issue, smart curing systems incorporating advanced sensor technologies have been introduced. These systems utilize real-time monitoring of essential parameters such as surface moisture, curing temperature, and ambient humidity. Through sensor feedback, the water supply is automatically controlled to deliver only the precise amount required for optimal hydration. This ensures efficient water utilization, minimizes wastage, and enhances the microstructural development of concrete, resulting in improved strength and durability. The integration of predictive algorithms further enables estimation of compressive strength based on curing temperature, moisture retention, and water content data. Experimental investigations using sensor-embedded concrete slab models confirmed accurate measurement of temperature, humidity, and compressive strength throughout the 28-day curing period in both laboratory and field conditions. The application of the Temperature and Humidity Sensor (DHT11) and Waterproof Temperature Sensor (DS18B20) in smart curing systems effectively reduces water usage, operational costs, and curing irregularities. This intelligent approach not only ensures superior concrete performance but also supports sustainable construction practices and efficient water resource management.