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基于红外热成像技术的土坝渗流与侵蚀检测的实验室比例模型研究

Infrared thermography based seepage and erosion detection in earthen dams using laboratory scale models.

作者信息

Bherde Vaishnavi, Balunaini Umashankar, Kambhammettu B V N P, Regonda Satish

机构信息

Department of Civil Engineering, Indian Institute of Technology, Hyderabad, 502284, India.

出版信息

Sci Rep. 2025 Jul 2;15(1):23226. doi: 10.1038/s41598-025-99368-z.

Abstract

Early and precise seepage detection is crucial for maintaining the safety and integrity of dams and preventing potential disasters associated with dam failure. This study focuses on detecting seepage in earthen dams using an infrared thermography-based approach, a non-invasive and non-contact technique. The seepage phenomenon was recreated on a laboratory-scale model of an earthen dam with two distinct downstream surfaces: one with soil cover and the other with grass turfing. Extensive infrared thermography analysis indicated that temperature variations could serve as key indicators for seepage identification. Results revealed an interesting pattern with temperatures at seepage locations being either lower or higher than the surrounding soil depending on the time of imaging. The latter typically occurs after 14:30 h. when solar loading is below 800 watts/m. For the earthen embankment geometry considered (side slopes of 1 V:1.87 H), camera viewing angles between 45° and 55° were found optimal, as temperature measurements from the infrared camera closely matched spot readings from installed thermal sensors. Additionally, experiments on downstream surfaces with varying surface erosion depths revealed significant temperature gradients in infrared images, with areas of severe erosion displaying marked differences compared to regions with minimal erosion. The findings encourage the broader use of infrared thermography for detecting seepage and erosion in earthen dams.

摘要

早期精确的渗流检测对于维护大坝的安全与完整性以及预防与大坝溃坝相关的潜在灾害至关重要。本研究聚焦于使用基于红外热成像的方法检测土坝中的渗流,这是一种非侵入性且非接触式的技术。在一个具有两种不同下游表面的土坝实验室规模模型上重现了渗流现象:一种是有土壤覆盖的表面,另一种是植草表面。广泛的红外热成像分析表明,温度变化可作为渗流识别的关键指标。结果揭示了一种有趣的模式,即根据成像时间,渗流位置的温度要么低于周围土壤,要么高于周围土壤。后者通常发生在14:30之后,此时太阳辐射低于800瓦/平方米。对于所考虑的土堤几何形状(边坡为1V:1.87H),发现45°至55°之间的相机视角是最佳的,因为红外热成像仪的温度测量值与已安装的热传感器的现场读数密切匹配。此外,对具有不同表面侵蚀深度的下游表面进行的实验表明,红外图像中存在显著的温度梯度,与侵蚀最小的区域相比,严重侵蚀区域显示出明显差异。这些发现鼓励更广泛地使用红外热成像技术来检测土坝中的渗流和侵蚀。

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