混凝土桥面损伤评估的红外热成像及三维路面不均匀度测量算法

IF 8.5 1区 工程技术 Q1 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS Computer-Aided Civil and Infrastructure Engineering Pub Date : 2024-12-24 DOI:10.1111/mice.13406
Mikiko Yamashita, Koichi Kawanishi, Kenji Hashizume, Pang-jo Chun
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引用次数: 0

摘要

混凝土桥面劣化,包括桥面板与路面之间的崩解和分层,由于其隐蔽性以及随着损伤的进展对桥面耐久性造成的风险,给桥梁维护带来了重大挑战。早期发现对于防止坑洞形成等问题和确保长期耐用性至关重要。然而,传统的方法需要岩心采样,这往往会延迟检测,直到损害范围广泛。本研究提出了一种结合红外热成像(IRT)和激光表面轮廓的无损检测方法,以提高对亚表面损伤的早期检测。IRT捕捉路面表面的温度变化,检测水平空隙和水分,而激光剖面则改进了对更深、渐进损伤的检测。通过整合这两种方法,该技术提供了单一方法无法提供的综合评估。现场验证表明,该方法能够准确评估桥面状况,有助于更安全、更有效地进行桥梁维修。
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Infrared thermography and 3D pavement surface unevenness measurement algorithm for damage assessment of concrete bridge decks
Deterioration of the concrete deck surface, including disintegration and delamination between the deck slab and pavement, presents significant challenges in bridge maintenance due to its hidden nature and the risk it poses to the deck's durability as damage progresses. Early detection is critical for preventing issues such as pothole formation and ensuring long-term durability. However, traditional methods require core sampling, which often delays detection until damage is extensive. This study proposes a nondestructive approach combining infrared thermography (IRT) and laser-based surface profiling to improve early detection of subsurface damage. IRT captures temperature variations on the pavement surface, detecting horizontal voids and moisture, while laser profiling refines the detection of deeper, progressive damage. By integrating these two methods, the technique offers a comprehensive assessment that single-method approaches cannot provide. Field validation demonstrates that this method enables precise evaluation of bridge deck conditions, contributing to safer and more efficient bridge maintenance.
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来源期刊
CiteScore
17.60
自引率
19.80%
发文量
146
审稿时长
1 months
期刊介绍: Computer-Aided Civil and Infrastructure Engineering stands as a scholarly, peer-reviewed archival journal, serving as a vital link between advancements in computer technology and civil and infrastructure engineering. The journal serves as a distinctive platform for the publication of original articles, spotlighting novel computational techniques and inventive applications of computers. Specifically, it concentrates on recent progress in computer and information technologies, fostering the development and application of emerging computing paradigms. Encompassing a broad scope, the journal addresses bridge, construction, environmental, highway, geotechnical, structural, transportation, and water resources engineering. It extends its reach to the management of infrastructure systems, covering domains such as highways, bridges, pavements, airports, and utilities. The journal delves into areas like artificial intelligence, cognitive modeling, concurrent engineering, database management, distributed computing, evolutionary computing, fuzzy logic, genetic algorithms, geometric modeling, internet-based technologies, knowledge discovery and engineering, machine learning, mobile computing, multimedia technologies, networking, neural network computing, optimization and search, parallel processing, robotics, smart structures, software engineering, virtual reality, and visualization techniques.
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