Global ETD Search
Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.
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Showing 1 to 20 of 42 for “"Crack detection"”.
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Crack Detection in Aluminum Structures
… The first is to experimentally validate a crack model and to see how small of a crack can be detected by vibration methods. The second is to use the concept of stress intensity factor to perform an SHM type of measurement to determine the remaining life of a structure once the impedance …
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Crack detection technique for reinforced concrete bridge decks
… to measure and monitor the growth of cracks along the wheel path. The system consists of 30 crack-meters embedded in concrete over the bottom layer of the reinforcement. The crack-meter readings are automatically collected every 20 minutes together with the readings from other sensors …
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Infrared Thermography And High Accuracy Gps For Automated Asphalt Crack Detection
… of distressed locations is needed. Roads develop cracks when they are subjected to stresses that exceed their designed criteria or their materials properties. Early detection and repair of cracks has proven to be the most cost-effective strategy in limiting the damage to roads and reducing …
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Stress corrosion crack detection in alloy 600 in high temperature caustic
Thesis (Nucl. E.)--Massachusetts Institute of Technology, Dept. of Nuclear Engineering, 1996.
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Finite element modeling of crack detection in aircraft structures using electrical current
… test methods have been developed for the detection of cracks in metallic structures. Electromagnetic non-destructive testing (NDT) is one of the widely used non-destructive methods used for the detection and characterization of cracks. Utilizing the principle of electromagnetic induction, …
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Vibration and crack detection in gas turbine engine compressor blades using Eddy current sensors
(cont.) in the ECS signal, no definitive method for sensing blade vibration using an ECS has yet been developed.
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Multi-Bayesian Approach to Stochastic Feature Recognition in the Context of Road Crack Detection and Classification
… thesis introduces a multi-Bayesian framework for detection and classification of features in environments abundant with error-inducing noise. The approach takes advantage of Bayesian correction and classification in three distinct stages. The corrective scheme described here extracts useful but …
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Applications of Computer Vision Technologies of Automated Crack Detection and Quantification for the Inspection of Civil Infrastructure Systems
… and state agencies to inspect and maintain them. Crack is one of important material and structural defects, which must be inspected not only for good maintenance of civil infrastructure with a high quality of safety and serviceability, but also for the opportunity to provide early warning against …
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Crack identification through computer vision: from non-learning-based to learning-based methodologies, and from patch-level to pixel-level detections
… one of the most common types of defects is cracking, which evolves rapidly under the impacts of heavy traffic, aging of materials, and drastic environmental changes. In recent decades, image-based automated crack detection methodologies have been developed and extensively applied by …
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Automatic Concrete Defect Identification by Silencing Features of Deep Neural Network
An autonomous concrete crack inspection system is necessary for preventing hazardous incidents arising from deteriorated concrete surfaces. In this thesis, we represent a concrete crack detection framework to aid the process of automated inspection.Deep neural networks highly suffer from the …
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Analytical study of computer vision-based pavement crack quantification using machine learning techniques
… and evaluate important surface defects, such as cracks, using an automated computer vision-based system to provide a better understanding of the pavement deterioration process. To achieve this objective, an automated crack-recognition software was developed, employing a series of image processing …
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Dynamic Fiber Debonding and Push-Out in Model Composites
… transducer-strain gage measurement; (b) the crack initiation and propagation was explored by a custom crack detection system. Experimental observations further confirmed the numerical analysis results.
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Structural Health Monitoring Using Deep Learning
… susceptible to damage over their lifespan and cracks are often the earliest noticeable form of damage. Crack width is an indicator of the severity of crack damage. Unaddressed cracks can develop to failures potentially resulting in injury, death and huge economic costs. Traditional methods such …
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Development Of A Slide-Rolling Contact Fatigue Tester
… speed and dry or lubricated testing. For failure detection, the proposed tester is equipped with a state-of-the-art eddy current crack detection system. However, it can be easily modified to use ultrasonic or vibration based crack detection devices. The eddy current crack detection system can also …
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Deep learning models for defect and anomaly detection on industrial surfaces
… computer vision and machine learning for defect detection, challenges persist, such as defect variability and the computational burden. This thesis presents specialized deep learning architectures addressing defect classification, segmentation, and detection in textiles, civil engineering, and …
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3D damage mapping and segmentation using neural radiance fields and advanced deep learning techniques
… Time Agumentation (TTA) significantly enhances crack detection capabilities. This approach allows for precise mapping of segmented cracks onto a 3D model of a bridge, offering a detailed and quantifiable assessment of structural damage. By combining these innovative technologies, the research …
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Embedded Nanosensors for defect identification using flexible, optically transparent, deformation responsive wrinkled Single Walled Carbon Nanotube meshes
… tanks and so forth are made of concrete. In vivo detection of the onset of cracks and voids in these concrete structures have many barriers and neglecting those could lead to failure of structures causing loss of properties and damage to lives. Embedded single walled carbon nanotubes (SWCNTs) with …
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Development of Pre-Stressed Retrofit Strategies for Mitigating Fatigue Cracking in Steel Waterway Lock Gate Components
… lock gates are submerged during operation, crack detection prior to component failure can be difficult, and repair costs can be high. </p> <p>This thesis presents an analytical and experimental investigation into fatigue damage within common lock gate geometries, and develops fatigue …
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Autonomous Sample Collection Using Image-Based 3D Reconstructions
… any human intervention. Finally, a new building crack detection algorithm (CDA) is created to use the 3D point cloud outputs from image sets gathered by a mobile robot. The CDA was shown to successfully identify and color-code several cracks in a full-scale concrete building element.
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Modelling to predict the reliability of solder joints
… law is presented which allows the prediction of crack propagation through a solder joint. A failure criteria based on the increase in electrical resistance is used, which removes the need for an empirical fatigue law. The steady state creep law, the kinematic hardening law and the damage law are …
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