Diagnostic evaluation of quay wall using three-dimensional acoustic measurement systems

K. Abukawa, A. Asada, K. Mizuno, T. Igarashi, N. Kishi, K. Akimoto
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引用次数: 1

Abstract

We used two types of acoustic measurement systems to assess the state of quay wall. Collapse and subsidence of quay wall at a harbor are often reported and a diagnosis method to prevent the accident has become a significant concern. The collapse is mainly occurred by air hole inside the quay wall. Therefore, the more robust and accurate diagnosis system is required and we try to apply the new diagnosis system which enables to assess the both inside and outside states of the quay wall from the underwater site. In the present study, two types of acoustic measurement systems using dual frequency identification sonar (DIDSON), and narrow-beam parametric sub-bottom profiler (SES2000) are applied to assess the both inside and outside states of quay wall. The field experiment was performed at the Iwanai port in Hokkaido, Japan (42° 59' N, 140° 30' E). The DIDSON was used generation of image mosaic and tree-dimensional image of the surface of quay wall. The SES2000 was created acoustic profile of inside the quay wall. The outside and inside acoustic images of the damaged quay wall were reconstructed from the collected data of DIDSON and SES2000. We detected corrosion hole. In addition, we detected corrosion holes and aged deterioration at other survey points using these two- and three-dimensional images. The state of the quay wall was quantified and compared with the results of direct measurement by diver. We should take more data in various field conditions and the continuous work with the proposed methods is needed for the practical use of them.
基于三维声学测量系统的码头墙诊断评价
我们使用两种类型的声学测量系统来评估码头墙的状态。港口码头墙的倒塌和下沉经常被报道,如何诊断和预防这种事故已成为人们关注的焦点。坍塌主要是由码头壁内的气孔引起的。因此,需要更鲁棒和准确的诊断系统,我们尝试应用新的诊断系统,能够从水下现场评估码头墙的内外状态。本研究采用双频识别声纳(DIDSON)和窄波束参数亚底廓线仪(SES2000)两种声学测量系统对码头墙内外状态进行了评估。现场实验在日本北海道岩井港(42°59' N, 140°30' E)进行,利用DIDSON生成图像拼接和码头墙表面的三维图像。SES2000创建了码头墙内部的声学剖面。利用DIDSON和SES2000采集的数据重建受损码头墙的内外声图像。我们检测到腐蚀孔。此外,我们还利用这些二维和三维图像在其他测点检测到腐蚀孔和老化。对码头墙的状态进行了量化,并与潜水员直接测量的结果进行了比较。我们需要在各种野外条件下采集更多的数据,并且需要对所提出的方法进行持续的工作以使其实际应用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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