Cargando…
Residual Strength Evaluation of Corroded Textile-Reinforced Concrete by the Deep Learning-Based Method
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,...
Autores principales: | Wang, Wei, Shi, Peng, Deng, Lu, Chu, Honghu, Kong, Xuan |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2020
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7411988/ https://www.ncbi.nlm.nih.gov/pubmed/32698414 http://dx.doi.org/10.3390/ma13143226 |
Ejemplares similares
-
Experimental Study on Residual Bending Strength of Corroded Reinforced Concrete Beam Based on Micromagnetic Sensor
por: Zhou, Jianting, et al.
Publicado: (2018) -
Limit Equilibrium Method-based Shear Strength Prediction for Corroded Reinforced Concrete Beam with Inclined Bars
por: Ma, Yafei, et al.
Publicado: (2019) -
Machine learning intelligence to assess the shear capacity of corroded reinforced concrete beams
por: Kumar, Aman, et al.
Publicado: (2023) -
Experimental Study on Shear Capacity of Reinforced Concrete Beams with Corroded Longitudinal Reinforcement
por: Han, Sun-Jin, et al.
Publicado: (2019) -
Influence of the Loading Speed on the Ductility Properties of Corroded Reinforcing Bars in Concrete
por: Bazán, Angela Moreno, et al.
Publicado: (2019)