供水管网智能管材(管件)研发及维护技术实验数据
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供水管网智能管材(管件)研发及维护技术实验数据,具体包括缠绕式修复材料性能试验、缠绕式修复修复试验、智能套筒材料性能试验、智能套筒修复试验的过程与结果数据。为了从理论上分析确定具有主动止水功能的带状修复材料对于供水管道常见的圆孔状、裂缝状缺陷的修复效果,使用电子拉力试验机等仪器测定分析其在不同基材上的剪切粘结强度、浸泡吸水率及质量损失率、浸泡后材料力学性能等理化特性。并且在圆孔状、裂缝状缺陷,通过对比修复后管道的临界止水压力大小表征应用修复效果,确定修复层搭接宽度、修复材料宽度、材料修复层数、修复层超出缺陷的长度、管道漏口形状尺寸以及带水修复水压等修复参数。 为了检验用于修复管道漏损的水激活性材料具备的物理强度,使用电子拉力试验机等仪器测试了材料的拉伸强度和抗撕裂强度,并分析了材料的浸泡吸水率、质量损失率等理化特性。通过静态加压试验和动态通水试验数据阐述智能套筒对漏水信号的表征能力。
Experimental data for the research, development and maintenance technology of intelligent pipes (fittings) for water supply networks, specifically encompassing the process and outcome data of performance tests for winding-type repair materials, winding-type repair tests, performance tests for intelligent sleeve materials, and intelligent sleeve repair tests. To theoretically analyze and confirm the repair performance of band-shaped repair materials with active water-stop function against common circular hole and crack defects in water supply pipelines, instruments including electronic tensile testing machines were utilized to measure and analyze their physical and chemical properties, such as shear bond strength on different substrates, water absorption rate after immersion, mass loss rate, and mechanical properties of the materials post immersion. Furthermore, for circular hole and crack defects, the repair effect was characterized by comparing the critical water-stop pressure of the repaired pipelines, and the repair parameters including the overlap width of the repair layer, the width of the repair material, the number of repair layers, the length of the repair layer extending beyond the defect, the shape and size of the pipeline leak orifice, and the water pressure during live-water repair were determined. To validate the physical strength of water-activated materials applied for pipeline leak repair, electronic tensile testing machines and other instruments were used to test the tensile strength and tear resistance of the materials, and their physical and chemical properties including water absorption rate after immersion and mass loss rate were analyzed. The characterization capability of intelligent sleeves for leak signals was elaborated based on the data from static pressure tests and dynamic water flow tests.




