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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
排序:
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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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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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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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
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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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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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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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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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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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