高坝水下缺陷检测与诊断评估:现状与挑战

Underwater defect detection and diagnosis assessment for high dams: current status and challenges

  • 摘要: 高坝大库作为水安全保障体系中的支撑性基础设施,其安全稳定运行对社会经济可持续发展和公共安全至关重要。然而,高坝大库部分隐患缺陷隐蔽于水面以下,严重影响其全生命周期的安全健康服役。本文基于国内外高坝水下出险案例分析,系统梳理了光学成像检测、声学成像检测等缺陷检测方法和检测装备,评述了水下缺陷检测、损伤识别、深水孪生场景构建及健康诊断评估领域的最新研究进展。在此基础上,提出当前亟待解决的关键科学问题,包括多场扰动下声-光融合成像、深水缺陷高分辨率检测、多源数据融合表征、水下-岸基孪生场景误差传递及缺陷快速诊断等技术方法,以期为高坝水下精准探测与安全诊断评估提供科技支撑。

     

    Abstract: High dams and large reservoirs are critical infrastructure that support water safety and security systems. Their safe and stable operation plays a vital role in ensuring sustainable socio-economic development and public safety. However, certain defects develop beneath the water surface, rendering them difficult to detect and potentially threatening the long-term safety and reliability of these structures. This study reviews domestic and international cases of underwater distress in high dams and systematically summarizes existing defect detection methods and equipment, including optical and acoustic imaging techniques. It also highlights recent advances in underwater defect detection, damage identification, construction within deep-water digital twin frameworks, and structural health diagnosis and assessment. Key scientific challenges are identified, such as acoustic-optical fusion imaging under multi-field perturbations, high-resolution detection of deep-water defects, multi-source data fusion-based characterization, error propagation between underwater and land-based digital twin systems, and rapid defect diagnosis. The aim is to provide technological support for precise underwater detection and enhance safety assessment of high dams.

     

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