Download or read book The Detection and Measurement of Cracks comparison of Potential and Displacement Methods written by D. P. Rooke and published by . This book was released on 1967 with total page 32 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book The Detection and Measurement of Cracks written by Welding Institute and published by . This book was released on 1976 with total page 68 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Alternating Current Field Measurement Technique for Detection and Measurement of Cracks in Structures written by Wei Li and published by Springer Nature. This book was released on with total page 153 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book The Detection and Measurement of Non through Cracks Using the AC Potential Difference Method written by E. C. Atkinson and published by . This book was released on 1981 with total page 21 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Fatigue Crack Measurement written by Kenneth James Marsh and published by . This book was released on 1991 with total page 572 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book The Use of an AC PD System for Crack Detection and Measurement written by R. J. Ryman and published by . This book was released on 1979 with total page 48 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Fatigue Crack Growth Measurement and Data Analysis written by S. J Hudak and published by ASTM International. This book was released on 1981 with total page 374 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book The Detection and Measurement of Cracks One Day Discussion Meeting Dec 1974 written by and published by . This book was released on 1976 with total page 54 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Special Applications and Advanced Techniques for Crack Size Determination written by John J. Ruschau and published by ASTM International. This book was released on 1995 with total page 169 pages. Available in PDF, EPUB and Kindle. Book excerpt: Comprises ten papers discussing topics including methods for the measurement of surface crack size, multiple site cracking, and cracking under nonisothermal conditions using AC potential difference procedures; influences of crack deflection and crack splitting on DC potential calibrations; complianc

Download or read book Automatic Ultrasonic Detection and Measurement of Cracks in Cannon written by D. C. Winters and published by . This book was released on 1979 with total page 22 pages. Available in PDF, EPUB and Kindle. Book excerpt: The 'end-on' ultrasonic crack measurement technique has been refined and perfected to provide reliable automatic sensing and read out of the maximum crack depth and its location for each crack encountered as the probe moves in a helical path down the cannon tube. A mechanical scanning machine has been constructed and tested which inspects full length 105 millimeter cannon. An ultrasonic flaw detector senses, measures and continuously reads out the distance from the outside surface to the crack tip or bore surface. Digital logic circuits evaluate successive measurements and determine the maximum crack depth reading. This data is transferred to a data acquisition system.

Download or read book Ultrasonic Technique for Detection and Measurement of Fatigue Cracks written by Stanley J. Klima and published by . This book was released on 1965 with total page 28 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book A System for Crack Pattern Detection Characterization and Diagnosis in Concrete Structures by Means of Image Processing and Machine Learning Techniques written by Luis Alberto Sánchez Calderón and published by . This book was released on 2018 with total page 176 pages. Available in PDF, EPUB and Kindle. Book excerpt: A system that attempts to find cracks in a RGB picture of a concrete beam, measure the cracks angles and widths; and classify crack patterns in 3 pathologies has been designed and implemented in the MATLAB programming language. The system is divided in three parts: Crack Detection, Crack Clustering and Crack Pattern Classification. The Crack Detection algorithm attempts to detect pixels depicting cracks in a region of interest (ROI) and measure the crack angles and widths. The input ROI is segmented several times: First with an artificial Neural Network (NN) that classifies image patches in "Crack" or "Not Crack", then with the Canny Edge detector and finally with the local Mean and Standard deviation of the intensities. Then all neighborhoods in the mask are passed through special modified line kernels called "orientation kernels" designed to detect cracks and measure their angles; in order to obtain the width measurement, a line of pixels perpendicular to the crack is extracted and with an approximation of the intensity gradient of that line the width is measured. This algorithm outputs a mask the same size as the input picture with the measured angles and widths. The Crack Clustering algorithm groups up all the crack image patches recognized from the Crack Detection to approximate clusters that match the quantity of cracks in the image. To achieve this a special distance metric has been designed to group up aligned crack image patches; then with an algorithm based on the connectivity among the crack patches the clusters are obtained. The Crack Pattern Classification takes the mask outputs from the Crack Detection step as input for a Neural Network (NN) designed to classify crack patterns in concrete beams in 3 classes: Flexion, Shear and Corrosion-Bond cracks. The width and angles masks are first transformed into a Feature matrix to reduce the degrees of freedom of the input for the NN. To achieve a desirable classification in cases when more than 1 pathology is present, every angle and width mask is separated in as many Features matrices as clusters found with the Clustering algorithm; then separately classified with the NN designed. Several photos depicting concrete surfaces are presented as examples to check the accuracy of the width and angle measurements from the Crack Detection step. Other photos showing concrete beams with crack patterns are used to check the classification prowess of the Crack Pattern Classification step. The most important conclusion of this work is the transference of empirical knowledge from rehabilitation of structures to a machine learning model in order to diagnose the damage on an element. This opens possibilities for new lines of research to make a larger system with wider utilities, more pathologies and elements to classify.

Download or read book Small crack Test Methods written by James M. Larsen and published by ASTM International. This book was released on 1992 with total page 228 pages. Available in PDF, EPUB and Kindle. Book excerpt: Reviews the most recent methods for testing small cracks in a variety of materials, providing detailed quantitative information on necessary procedures for data acquisition. Emphasizes the characterization of small, three-dimensional fatigue cracks, initiated either naturally or artificially. The ei

Download or read book Ultrasonic Detection and Measurement of Fatigue Cracks in Notched Specimens written by Stanley J. Klima and published by . This book was released on 1968 with total page 62 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book 7th RILEM International Conference on Cracking in Pavements written by A. Scarpas and published by Springer Science & Business Media. This book was released on 2012-08-30 with total page 1340 pages. Available in PDF, EPUB and Kindle. Book excerpt: In the recent past, new materials, laboratory and in-situ testing methods and construction techniques have been introduced. In addition, modern computational techniques such as the finite element method enable the utilization of sophisticated constitutive models for realistic model-based predictions of the response of pavements. The 7th RILEM International Conference on Cracking of Pavements provided an international forum for the exchange of ideas, information and knowledge amongst experts involved in computational analysis, material production, experimental characterization, design and construction of pavements. All submitted contributions were subjected to an exhaustive refereed peer review procedure by the Scientific Committee, the Editors and a large group of international experts in the topic. On the basis of their recommendations, 129 contributions which best suited the goals and the objectives of the Conference were chosen for presentation and inclusion in the Proceedings. The strong message that emanates from the accepted contributions is that, by accounting for the idiosyncrasies of the response of pavement engineering materials, modern sophisticated constitutive models in combination with new experimental material characterization and construction techniques provide a powerful arsenal for understanding and designing against the mechanisms and the processes causing cracking and pavement response deterioration. As such they enable the adoption of truly "mechanistic" design methodologies. The papers represent the following topics: Laboratory evaluation of asphalt concrete cracking potential; Pavement cracking detection; Field investigation of pavement cracking; Pavement cracking modeling response, crack analysis and damage prediction; Performance of concrete pavements and white toppings; Fatigue cracking and damage characterization of asphalt concrete; Evaluation of the effectiveness of asphalt concrete modification; Crack growth parameters and mechanisms; Evaluation, quantification and modeling of asphalt healing properties; Reinforcement and interlayer systems for crack mitigation; Thermal and low temperature cracking of pavements; and Cracking propensity of WMA and recycled asphalts.

Download or read book Fundamentals and Methods of Machine and Deep Learning written by Pradeep Singh and published by John Wiley & Sons. This book was released on 2022-02-01 with total page 480 pages. Available in PDF, EPUB and Kindle. Book excerpt: FUNDAMENTALS AND METHODS OF MACHINE AND DEEP LEARNING The book provides a practical approach by explaining the concepts of machine learning and deep learning algorithms, evaluation of methodology advances, and algorithm demonstrations with applications. Over the past two decades, the field of machine learning and its subfield deep learning have played a main role in software applications development. Also, in recent research studies, they are regarded as one of the disruptive technologies that will transform our future life, business, and the global economy. The recent explosion of digital data in a wide variety of domains, including science, engineering, Internet of Things, biomedical, healthcare, and many business sectors, has declared the era of big data, which cannot be analysed by classical statistics but by the more modern, robust machine learning and deep learning techniques. Since machine learning learns from data rather than by programming hard-coded decision rules, an attempt is being made to use machine learning to make computers that are able to solve problems like human experts in the field. The goal of this book is to present a??practical approach by explaining the concepts of machine learning and deep learning algorithms with applications. Supervised machine learning algorithms, ensemble machine learning algorithms, feature selection, deep learning techniques, and their applications are discussed. Also included in the eighteen chapters is unique information which provides a clear understanding of concepts by using algorithms and case studies illustrated with applications of machine learning and deep learning in different domains, including disease prediction, software defect prediction, online television analysis, medical image processing, etc. Each of the chapters briefly described below provides both a chosen approach and its implementation. Audience Researchers and engineers in artificial intelligence, computer scientists as well as software developers.

Download or read book Image Correlation for Shape Motion and Deformation Measurements written by Michael A. Sutton and published by Springer Science & Business Media. This book was released on 2009-04-21 with total page 332 pages. Available in PDF, EPUB and Kindle. Book excerpt: Image Correlation for Shape, Motion and Deformation Measurements provides a comprehensive overview of data extraction through image analysis. Readers will find and in-depth look into various single- and multi-camera models (2D-DIC and 3D-DIC), two- and three-dimensional computer vision, and volumetric digital image correlation (VDIC). Fundamentals of accurate image matching are described, along with presentations of both new methods for quantitative error estimates in correlation-based motion measurements, and the effect of out-of-plane motion on 2D measurements. Thorough appendices offer descriptions of continuum mechanics formulations, methods for local surface strain estimation and non-linear optimization, as well as terminology in statistics and probability. With equal treatment of computer vision fundamentals and techniques for practical applications, this volume is both a reference for academic and industry-based researchers and engineers, as well as a valuable companion text for appropriate vision-based educational offerings.