Real-Time Crack Detection Using ROV

2021 ◽  
pp. 922-929
Author(s):  
Haythem El-Messiry ◽  
Hany Khaled ◽  
Ahmed Maher ◽  
Amin Ahmed ◽  
Faris Hussian
Keyword(s):  
Real Time ◽  
Crack Detection

scholarly journals A Real-Time Bridge Crack Detection Method Based on an Improved Inception-Resnet-v2 Structure

IEEE Access ◽  
2021 ◽  
pp. 1-1
Author(s):  
Jinkang Wang ◽  
Xiaohui He ◽  
Shao Faming ◽  
Guanlin Lu ◽  
Hu Cong ◽  
...  
Keyword(s):  
Real Time ◽  
Crack Detection ◽  
Detection Method

207 An Experiment Study on Real-time Crack Detection Method

2010 ◽  
Vol 2010.18 (0) ◽  
pp. 43-44
Author(s):  
Tadashi HORIBE ◽  
Kuniaki TAKAHASHI ◽  
Ryo Endo
Keyword(s):  
Real Time ◽  
Crack Detection ◽  
Detection Method ◽  
Experiment Study

scholarly journals Crack detection using modified spectral clustering method assisted with FE analysis for distress anticipation in cement-based composites

2021 ◽  
Author(s):  
Ajitanshu Vedrtnam ◽  
Santosh Kumar ◽  
Gonzalo Barluenga ◽  
Shashikant Chaturvedi
Keyword(s):  
Crack Propagation ◽  
Real Time ◽  
Crack Detection ◽  
Compressive Loading ◽  
Concrete Structures ◽  
Spatial Relationship ◽  
Fracture Pattern ◽  
Wood Dust ◽  
Compression Tests ◽  
Fe Modelling

Abstract The present work aimed to develop an efficient way of capturing real-time crack propagation in concrete structures. The image processing was utilized for crack detection, while finite element modeling (FEM) and scanning electron microscopy (SEM) were used for quantitative and qualitative analysis of crack propagation. A green cement-based composite (CBC) containing saw dust was compared to a reference M20 grade concrete under compressive loading. Crack propagation during compression tests was captured using an 8-megapixel mobile phone camera. The randomly selected images showing crack initiation and propagation in CBCs were used to assess the crack capturing capability of a spectral analysis based algorithm. A measure of oriented energy was provided at crack edges to develop a similarity spatial relationship among the pairwise pixels. FE modelling was used for distress anticipation, by analyzing stresses during the compressive test in constituents of CBCs. SEM analyses were also done to evaluate cracked samples. It was found that FE modeling could predict the crack prone regions that can be used jointly with the image analysis algorithm, providing real-time inputs from the crack-prone areas. Green CBC were compared to reference concrete samples, showing reliable results. The replacement of OPC with wood dust reduced compression strength and produced a different fracture pattern regarding reference concrete. The results of the study can be used for distress anticipation and early crack detection of concrete structures for preventive support and management.

scholarly journals Early crack detection using modified spectral clustering method assisted with FE analysis for distress anticipation in cement-based composites

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Ajitanshu Vedrtnam ◽  
Santosh Kumar ◽  
Gonzalo Barluenga ◽  
Shashikant Chaturvedi
Keyword(s):  
Crack Propagation ◽  
Real Time ◽  
Crack Detection ◽  
Compressive Loading ◽  
Concrete Structures ◽  
Spatial Relationship ◽  
Compressive Test ◽  
Fe Modelling ◽  
Initiation And Propagation ◽  
Oriented Energy

AbstractThe present work reports an efficient way of capturing real-time crack propagation in concrete structures. The modified spectral analysis based algorithm and finite element modeling (FEM) were utilised for crack detection and quantitative analysis of crack propagation. Crack propagation was captured in cement-based composite (CBC) containing saw dust and M20 grade concrete under compressive loading using a simple and inexpensive 8-megapixel mobile phone camera. The randomly selected images showing crack initiation and propagation in CBCs demonstrated the crack capturing capability of developed algorithm. A measure of oriented energy was provided at crack edges to develop a similarity spatial relationship among the pairwise pixels. FE modelling was used for distress anticipation, by analysing stresses during the compressive test in constituents of CBCs. FE modeling jointly with the developed algorithm, can provide real-time inputs from the crack-prone areas and useful in early crack detection of concrete structures for preventive support and management.

A Novel Real Time Diagnostic Method for Crack Detection on a Rotating Shaft

2009 ◽  
Author(s):  
Fernando A. Bejarano ◽  
Amilcar A. Rincon ◽  
Yamil Camacho ◽  
Xaymara Perereira
Keyword(s):  
Real Time ◽  
Crack Detection ◽  
Element Model ◽  
Crack Size ◽  
Detection Sensitivity ◽  
Crack Identification ◽  
Open Crack ◽  
Rotating Shaft ◽  
Function Approximator ◽  
Vibration Parameters

This paper presents a novel real-time crack identification method to determine the position and depth of a transverse open crack on a rotating shaft. Wireless accelerometer capable of being mounted directly on the shaft is employed to monitor acceleration at different points of the shaft in a rotating coordinate system. The vibration parameters obtained from the wireless sensors and Finite Element Model provide operational data to perform Modal Analysis with different mock crack positions and depths, and an unique relation between the vibration parameters and crack characteristics is developed by Neural Networks Method working as function approximator to predict the crack size and location on the shaft. The method was experimentally validated and results have shown that the crack detection sensitivity parameters depend on the acceleration signals at different points of the shaft.

scholarly journals Real Time Sobel Edge Detection Based on Reconfigurable Computing

2020 ◽  
Vol 8 (5) ◽  
pp. 2466-2468
Keyword(s):  
Edge Detection ◽  
Real Time ◽  
Video Processing ◽  
Reconfigurable Computing ◽  
Crack Detection ◽  
Traffic Monitoring ◽  
Lane Detection ◽  
Verilog Hdl ◽  
Detection Algorithms ◽  
Sobel Edge Detection

Edge detection is a fundamental operation in many image and video processing applications. It is used in various fields like industries, aerospace, surveillance, medical fields, traffic monitoring system, lane detection, driverless vehicles, crack detection in roads and several other applications. Most of the edge detection algorithms are software based but in real time applications these are not efficient hence in this paper we have explored about Hardware platform. The reason for selecting Sobel edge detection operator is it incorporates both the edge detection and a smoothing operator to provide good edge detection capability in noisy environment. This design uses Verilog HDL language for design and Vivado is used for simulation.

scholarly journals Early crack detection using modified spectral clustering method assisted with FE analysis for distress anticipation in cement-based composites

2021 ◽  
Author(s):  
Ajitanshu Vedrtnam ◽  
Santosh Kumar ◽  
Gonzalo Barluenga ◽  
Shashikant Chaturvedi
Keyword(s):  
Crack Propagation ◽  
Real Time ◽  
Crack Detection ◽  
Compressive Loading ◽  
Concrete Structures ◽  
Spatial Relationship ◽  
Compressive Test ◽  
Fe Modelling ◽  
Initiation And Propagation ◽  
Oriented Energy

Abstract The present work reports an efficient way of capturing real-time crack propagation in concrete structures. The modified spectral analysis based algorithm and finite element modeling (FEM) were utilised for crack detection and quantitative analysis of crack propagation. Crack propagation was captured in cement-based composite (CBC) containing saw dust and M20 grade concrete under compressive loading using a simple and inexpensive 8-megapixel mobile phone camera. The randomly selected images showing crack initiation and propagation in CBCs demonstrated the crack capturing capability of developed algorithm. A measure of oriented energy was provided at crack edges to develop a similarity spatial relationship among the pairwise pixels. FE modelling was used for distress anticipation, by analysing stresses during the compressive test in constituents of CBCs. FE modeling jointly with the developed algorithm, can provide real-time inputs from the crack-prone areas and useful in early crack detection of concrete structures for preventive support and management.

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