Original paper
Residual Strength Evaluation of Corroded Textile-Reinforced Concrete by the Deep Learning-Based Method
Abstract
Residual strength of corroded textile-reinforced concrete (TRC) is evaluated using the deep learning-based method, whose feasibility is demonstrated by experiment. Compared to the traditional method, the proposed method does not need to know the climatic conditions in which the TRC exists. Firstly, the information about the faster region-based convolutional neural networks (Faster R-CNN) is described briefly, and then procedures to prepare...
Paper Details
Title
Residual Strength Evaluation of Corroded Textile-Reinforced Concrete by the Deep Learning-Based Method
Published Date
Jul 20, 2020
Journal
Volume
13
Issue
14
Pages
3226 - 3226
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History