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Inicio  /  Applied Sciences  /  Vol: 12 Par: 23 (2022)  /  Artículo
ARTÍCULO
TITULO

Long Short-Term Memory-Based Methodology for Predicting Carbonation Models of Reinforced Concrete Slab Bridges: Case Study in South Korea

Tae Ho Kwon    
Jaehwan Kim    
Ki-Tae Park and Kyu-San Jung    

Resumen

The proposed methodology creates LSTM-based carbonation models using the data from existing bridges. The proposed methodology and results can help bridge managers to conduct preventive maintenance.

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