用探地雷达估算沥青铺装桥梁滞水

IF 4.6 2区 工程技术 Q1 CONSTRUCTION & BUILDING TECHNOLOGY
Junhwa Lee, Jinwoong Choi, Yooseong Shin, Sung-Han Sim
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引用次数: 0

摘要

沥青覆盖的桥面积水是桥面恶化的主要原因。通过沥青层渗漏的雨水会滞留在桥面防水膜上,从而导致沥青路面和桥面混凝土的退化。因此,识别可能含水的路面下的积水区域可以促进桥面的预测维护。本文提出了一种利用探地雷达估算桥面地下积水带的框架。采用常规厚度评价方法,从探地雷达c扫描数据中提取桥下不透水层深度分布(深度图),并建立测深树状图,模拟桥下水流。通过考虑水深树状图上的排水情况,可以确定地下积水带。采用韩国一座在役桥梁对所提出的框架进行了验证。将估算的地下积水区与加氢拆除后观测到的混凝土损伤位置进行了比较。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Estimation of Water Stagnation in Asphalt-Overlaid Bridges Using Ground-Penetrating Radar

Estimation of Water Stagnation in Asphalt-Overlaid Bridges Using Ground-Penetrating Radar

Stagnant water in asphalt-overlaid bridge decks is a primary cause of deterioration. Rainwater seeping through the asphalt layer stagnates on waterproofing membranes of the bridge deck, consequently degrading the asphalt pavement and the underlying concrete deck. Thus, identifying ponding regions under pavements potentially containing water can facilitate the prognostic maintenance of bridge decks. This study proposes a framework to estimate the subsurface ponding zone in bridge decks using ground-penetrating radar (GPR). The depth distribution of the nonpermeable layer in the subsurface of the bridge is extracted (depth map) from the GPR C-scan using a conventional thickness evaluation method and used to build a bathymetric dendrogram to model subsurface water flows. The subsurface ponding zone can be identified by considering drainage on the bathymetric dendrogram. The proposed framework is demonstrated using an in-service bridge in Korea. The estimated subsurface ponding zone is compared with damage locations of concrete observed after hydrodemolition.

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来源期刊
Structural Control & Health Monitoring
Structural Control & Health Monitoring 工程技术-工程:土木
CiteScore
9.50
自引率
13.00%
发文量
234
审稿时长
8 months
期刊介绍: The Journal Structural Control and Health Monitoring encompasses all theoretical and technological aspects of structural control, structural health monitoring theory and smart materials and structures. The journal focuses on aerospace, civil, infrastructure and mechanical engineering applications. Original contributions based on analytical, computational and experimental methods are solicited in three main areas: monitoring, control, and smart materials and structures, covering subjects such as system identification, health monitoring, health diagnostics, multi-functional materials, signal processing, sensor technology, passive, active and semi active control schemes and implementations, shape memory alloys, piezoelectrics and mechatronics. Also of interest are actuator design, dynamic systems, dynamic stability, artificial intelligence tools, data acquisition, wireless communications, measurements, MEMS/NEMS sensors for local damage detection, optical fibre sensors for health monitoring, remote control of monitoring systems, sensor-logger combinations for mobile applications, corrosion sensors, scour indicators and experimental techniques.
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