New Operational Load Monitoring Approach Using Digital Image Correlation and Image Classification Networks
نویسندگان
چکیده
Abstract The following paper presents a novel approach that can be applied to Operational Load Monitoring and Structural Health processes. is based on artificial intelligence (AI) digital image correlation (DIC) techniques. DIC an optical method allows measuring full-field structural displacements strains. In the presented only relatively small fragment of material’s surface monitored by DIC. obtained partial strains or then processed carefully trained AI model, classification network, able predict state whole structure (e.g. materials stresses, potential loss material continuity). assumption all possible load cases states identified simulated, so data from simulations used train network. A numerical example as proof concept. modern lightweight aerostructure in form hat-stiffened composite panel was its performed normal map. reference maps network were simulated numerically. prediction model estimates Tsai-Wu failure criterion value for material. accuracy predictions proved effectiveness efficiency proposed approach.
منابع مشابه
Displacement monitoring of a Long-Span Arch Railway Bridge using Digital Image Correlation (DIC)
There is an escalating demand for condition monitoring enhancement of transport infrastructures worldwide. Bridges are of vital importance in transportation infrastructure and need such monitoring. In this research, a non-contact vision-based technique called Digital Image Correlation (DIC) was used to calculate the bridge displacements. A high frame rate camera with 4K capability was used for ...
متن کاملDynamic Approach for Face Recognition Using Digital Image Skin Correlation
With the recent emphasis on homeland security, there is an increased interest in accurate and non-invasive techniques for face recognition. Most of the current techniques perform a structural analysis of facial features from still images. Recently, video-based techniques have also been developed but they suffer from low image-quality. In this paper, we propose a new method for face recognition,...
متن کاملImage Classification Using Neural Networks and Ontologies
The advent of extremely powerful home PCs and the growth of the Internet have made the appearance of multimedia documents a common sight in the computer world. In the world of unstructured data composed of images and other media types, classification often comes at the price of countless hours of manual labor. This research aims to present a scalable system capable of examining images and accur...
متن کاملA New Approach for Mammogram Image Classification Using Fractal Properties
Accurate classification of images is essential for the analysis of mammograms in computer aided diagnosis of breast cancer. We propose a new approach to classify mammogram images based on fractal features. Given a mammogram image, we first eliminate all the artifacts and extract the salient features such as Fractal Dimension (FD) and Fractal Signature (FS). These features provide good descripti...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Journal of physics
سال: 2023
ISSN: ['0022-3700', '1747-3721', '0368-3508', '1747-3713']
DOI: https://doi.org/10.1088/1742-6596/2512/1/012015