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检索条件"主题词=Concrete Crack Detection"
39 条 记 录,以下是21-30 订阅
排序:
crack detection and Analysis of concrete Structures Based on Neural Network and Clustering
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SENSORS 2024年 第6期24卷 1725页
作者: Choi, Young Park, Hee Won Mi, Yirong Song, Sujeen Earth Turbine 36 Dongdeok Ro 40 Gil Daegu 41905 South Korea Kyungpook Natl Univ Sch Architecture Civil Environm & Energy Engn 80 Daehak Ro Daegu 41566 South Korea
concrete is extensively used in the construction of infrastructure such as houses and bridges. However, the appearance of cracks in concrete structures over time can diminish their sealing and load-bearing capability,... 详细信息
来源: 评论
Threshold-Based BRISQUE-Assisted Deep Learning for Enhancing crack detection in concrete Structures
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JOURNAL OF IMAGING 2023年 第10期9卷 218-218页
作者: Pennada, Sanjeetha Perry, Marcus McAlorum, Jack Dow, Hamish Dobie, Gordon Univ Strathclyde Dept Civil & Environm Engn 75 Montrose St Glasgow G1 1XJ Scotland Univ Strathclyde Dept Elect & Elect Engn 204 George St Glasgow G1 1XW Scotland
Automated visual inspection has made significant advancements in the detection of cracks on the surfaces of concrete structures. However, low-quality images significantly affect the classification performance of convo... 详细信息
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crack detection Based on Support Vector Data Description  29
Crack Detection Based on Support Vector Data Description
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第29届中国控制与决策会议
作者: LIN Weiguo LIN Yaru Wang Fang College of Information Science and Technology Beijing University of Chemical Technology
It is difficult to detect concrete cracks because of the existence of background *** solve this problem,some methods for crack detection on concrete surfaces are *** to shape features,a new concrete crack detection me... 详细信息
来源: 评论
Real-time detection and geometric analysis algorithm for concrete cracks based on the improved U-net model
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JOURNAL OF REAL-TIME IMAGE PROCESSING 2024年 第4期21卷 139-139页
作者: Zhang, Qian Zhang, Fan Liu, Hongbo Wang, Longxuan Chen, Zhihua Guo, Liulu China Construct Sixth Engn Bur Corp Tianjin 300072 Peoples R China Tianjin Univ State Key Lab Hydraul Engn Simulat & Safety Tianjin 300072 Peoples R China Hebei Univ Engn Dept Civil Engn Handan 056000 Peoples R China
Aiming at complex operation problems, low precision and poor robustness of traditional concrete crack detection methods, a real-time concrete crack detection and geometric analysis algorithm based on the improved U-ne... 详细信息
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Deep learning-based autonomous concrete crack evaluation through hybrid image scanning
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STRUCTURAL HEALTH MONITORING-AN INTERNATIONAL JOURNAL 2019年 第5-6期18卷 1722-1737页
作者: Jang, Keunyoung Kim, Namgyu An, Yun-Kyu Sejong Univ Dept Architectural Engn 209 Neungdong Ro Seoul 143747 South Korea Sejong Univ Dept Civil & Environm Engn Seoul South Korea
This article proposes a deep learning-based autonomous concrete crack detection technique using hybrid images. The hybrid images combining vision and infrared thermography images are able to improve crack detectabilit... 详细信息
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Review of Non-Destructive Civil Infrastructure Evaluation for Bridges: State-of-the-Art Robotic Platforms, Sensors and Algorithms
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SENSORS 2020年 第14期20卷 3954.-3954页
作者: Ahmed, Habib La, Hung Manh Gucunski, Nenad Univ Nevada Dept Comp Sci & Engn Adv Robot & Automat Lab Reno NV 89512 USA Rutgers State Univ Dept Civil & Environm Engn Piscataway NJ 08854 USA
The non-destructive evaluation (NDE) of civil infrastructure has been an active area of research in recent decades. The traditional inspection of civil infrastructure mostly relies on visual inspection using human ins... 详细信息
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Classification and detection of Various Structural cracks Using Deep Learning Approach  10th
Classification and Detection of Various Structural Cracks Us...
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10th European Workshop on Structural Health Monitoring (EWSHM)
作者: Vundekode, Narasimha Reddy Kalapatapu, Prafulla Pasupuleti, Venkata Dilip Kumar Mahindra Univ Ecole Cent Coll Engn Hyderabad India
concrete has evolved to be the most used construction material all over the world from minor to major structures. The accelerated deterioration of the structure can be reduced if the cracks are detected at their early... 详细信息
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Deep Learning Neural Networks for sUAS-Assisted Structural Inspections: Feasibility and Application
Deep Learning Neural Networks for sUAS-Assisted Structural I...
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INTERNATIONAL CONFERENCE ON UNMANNED AIRCRAFT SYSTEMS (ICUAS)
作者: Dorafshan, Sattar Coopmans, Calvin Thomas, Robert J. Maguire, Marc Utah State Univ Dept Civil & Environm Engn Logan UT 84322 USA Utah State Univ Utah Water Res Lab AggieAir Logan UT 84322 USA
This paper investigates the feasibility of using a Deep Learning Convolutional Neural Network (DLCNN) in inspection of concrete decks and buildings using small Unmanned Aerial Systems (sUAS). The training dataset cons... 详细信息
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Real-Time Surface Damage Analysis of concrete Structures using Python-based Image Analysis  17
Real-Time Surface Damage Analysis of Concrete Structures usi...
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Conference on Nondestructive Characterization and Monitoring of Advanced Materials, Aerospace, Civil Infrastructure, and Transportation XVII
作者: Jha, Shivam Kaur, Amardeep Southern Illinois Univ Edwardsville Edwardsville IL 62026 USA
Aging infrastructure worldwide has led to an interest in using innovative solutions for non-destructive damage assessment. The traditional in-person assessment of large-scale infrastructure like dams and bridges etc. ... 详细信息
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crack identification for reinforced concrete using PZT based smart rebar active sensing diagnostic network
Crack identification for reinforced concrete using PZT based...
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Nondestructive Characterization and Monitoring of Advanced Materials, Aerospace, and Civil Infrastructure 2016
作者: Song, N. N. Wu, F. Shanghai Jiao Tong Univ Sch Naval Architecture Ocean & Civil Engn Dept Civil Engn Shanghai Peoples R China
An active sensing diagnostic system using PZT based smart rebar for SHM of RC structure has been currently under investigation. Previous test results showed that the system could detect the de-bond of concrete from re... 详细信息
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