Failure node prediction study of in-service tunnel concrete for sulfate attack by PSO-LSTM based on Markov correction

Failure node prediction study of in-service tunnel concrete for sulfate attack by PSO-LSTM based on Markov correction

Sulfate attack seriously affects the durability of concrete structures, and many tunnels constructed in China in the early years did not adequately take it into account, resulting in structural degradation of many currently operating tunnels within their service life. In this study, we integrated ex...

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Bibliographic Details
Main Authors: Kunpeng Cao, Dunwen Liu, Yu Tang, Wanmao Zhang, Yinghua Jian, Songzhou Chen
Format: Article
Language:English
Published: Elsevier 2024-07-01
Series:Case Studies in Construction Materials
Subjects:
In-service tunnels
Sulfate attack
Ultrasonic velocity
Long and short term memory networks
Compressive strength corrosion resistance coefficient
Online Access:http://www.sciencedirect.com/science/article/pii/S2214509524003048

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http://www.sciencedirect.com/science/article/pii/S2214509524003048

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