Damage Security Intelligent Identification of Wharf Concrete Structures under Deep Learning and Digital Image Technology
نویسندگان
چکیده
Artificial Intelligence (AI) technology has quickly developed under the mighty computing power of computers. At this stage, there are many mature non-destructive testing methods in civil engineering, but they generally only suitable for simple structures and evident damage characteristics. Therefore, it’s necessary us to investigate identification wharf concrete deep learning digital image technology. The article propose a detection localization method based on Neural Network (NN) Digital Image Correlation (DIC) identify internal used construction. Firstly, model structure is constructed using NN Then, structural further investigated DIC. Finally, relevant experiments designed verify effect model. results show that: (1) by high convergence stability can control test error well. (2) output DIC equipment processed input into NN. errors various parameters different concretes be within acceptable range. This paper aims provide good ideas references follow-up health monitoring other topics significant engineering application value.
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ژورنال
عنوان ژورنال: International Journal of Advanced Computer Science and Applications
سال: 2023
ISSN: ['2158-107X', '2156-5570']
DOI: https://doi.org/10.14569/ijacsa.2023.01406109