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检索条件"主题词=Concrete Crack Detection"
39 条 记 录,以下是31-40 订阅
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A New Approach for the detection of concrete cracks Based on Adaptive Morphological Filtering  6
A New Approach for the Detection of Concrete Cracks Based on...
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6th International Conference on Fuzzy Systems and Data Mining (FSDM)
作者: Hou, Huan Lin, Weiguo Beijing Univ Chem Technol Coll Informat Sci & Technol Beijing 100029 Peoples R China
cracks are an important sign of distress of concrete bridges and may reduce their service life and safety. For the case where there are stains, peeling, scratches, and uneven illumination on the surface of concrete br... 详细信息
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Optical crack following on tunnel surfaces
Optical crack following on tunnel surfaces
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Conference on Two- and Three-Dimensional Methods for Inspection and Metrology IV
作者: Paar, Gerhard Caballo-Perucha, Maria d. P. Kontrus, Heiner Sidla, Oliver Joanneum Res Inst Digital Image Proc Wastiangasse 6 A-8010 Graz Austria Dibit Messtech GmbH A-6020 Innsbruck Austria
One of the most important monitoring tasks of tunnel inspection is the observation of cracks. This paper describes an approach for crack following using mid-resolution (2-5mm per pixel) images of the tunnel surface. A... 详细信息
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crack depth measurement and key points of accurate identification in concrete structures: a review
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NONDESTRUCTIVE TESTING AND EVALUATION 2024年 第8期39卷 2073-2107页
作者: Wang, Yulei Jia, Yu Liang, Jiahui Tang, Lei Guan, Fuhai Li, Po Zhang, Shengxing Tian, Hui Nanjing Hydraul Res Inst Mat & Struct Engn Dept Nanjing Peoples R China Natl Key Lab Water Disaster Prevent Nanjing Peoples R China
The cracks with a width of more than 0.3mm can seriously affect the safety and stability of concrete structures. Presently, there are many techniques for measuring the crack depth, each with its own advantages and dis... 详细信息
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Automatic detection of cracks on concrete Surfaces in the Presence of Shadows
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SENSORS 2022年 第10期22卷 3662-3662页
作者: Palevicius, Paulius Pal, Mayur Landauskas, Mantas Orinaite, Ugne Timofejeva, Inga Ragulskis, Minvydas Kaunas Univ Technol Dept Math Modelling Ctr Nonlinear Syst LT-51368 Kaunas Lithuania
Deep learning-based methods, especially convolutional neural networks, have been developed to automatically process the images of concrete surfaces for crack identification tasks. Although deep learning-based methods ... 详细信息
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Temperature measurement and damage detection in concrete beams exposed to fire using PPP-BOTDA based fiber optic sensors
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SMART MATERIALS AND STRUCTURES 2017年 第10期26卷 105034页
作者: Bao, Yi Hoehler, Matthew S. Smith, Christopher M. Bundy, Matthew Chen, Genda Missouri Univ Sci & Technol Dept Civil Architectural & Environm Engn 1401 N Pine St Rolla MO 65409 USA NIST Natl Fire Res Lab 100 Bur Dr Gaithersburg MD 20899 USA
In this study, Brillouin scattering-based distributed fiber optic sensor is implemented to measure temperature distributions and detect cracks in concrete structures subjected to fire for the first time. A telecommuni... 详细信息
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Intelligent concrete Surface cracks detection using Computer Vision, Pattern Recognition, and Artificial Neural Networks
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Procedia Computer Science 2023年 217卷 52-61页
作者: Majid Mirbod Maryam Shoar
This paper presents an intelligent concrete surface crack detection model, using machine vision, pattern recognition, artificial neural networks, and histogram of oriented gradients to feature extraction. This is an a... 详细信息
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Performance Degradation Assessment of concrete Beams Based on Acoustic Emission Burst Features and Mahalanobis-Taguchi System
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SENSORS 2020年 第12期20卷 3402.-3402.页
作者: Habib, Md Arafat Rai, Akhand Kim, Jong-Myon Univ Ulsan Sch Comp Engn & Informat Technol 93 Daehak Ro Ulsan 44610 South Korea
Acoustic emission (AE) has been used extensively for structural health monitoring based on the stress waves generated due to evolution of cracks in concrete structures. A major concern while using AE features is that ... 详细信息
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Initial Proof of Concept on the Use of 3D Models to Identify Structural Deviations of Bridge Components
Initial Proof of Concept on the Use of 3D Models to Identify...
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IEEE SoutheastCon
作者: Luis Daniel Otero Mark Moyou Adrian Peter Dennis Dalli Nick Gagliardo Department of Engineering Systems Florida Institute of Technology Melbourne FL USA
This research paper presents ongoing research work towards developing an effective remote sensing system for bridge inspections. The paper describes various tests that were conducted to address a research question reg... 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
作者: Sattar Dorafshan Robert J. Thomas Calvin Coopmans Marc Maguire Dept. of Civil and Environmental Engineering Utah State University Logan UT USA AggieAir at Utah Water Research Laboratory Utah State University Logan UT 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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