Predicting the microbiologically induced concrete corrosion in sewer based on XGBoost algorithm

Predicting the microbiologically induced concrete corrosion in sewer based on XGBoost algorithm

Microbiologically induced concrete corrosion (MICC) is a major reason for sewer pipe replacement and rehabilitation. Predicting the depth of concrete corrosion can help make better decisions on the inspection and rehabilitation of pipes. Due to the limited data available, the models using deep learn...

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Bibliographic Details
Main Authors: Yajian Wang, Fei Su, Yang Guo, Hailu Yang, Zhoujing Ye, Linbing Wang
Format: Article
Language:English
Published: Elsevier 2022-12-01
Series:Case Studies in Construction Materials
Subjects:
Sewer pipe
Microbiologically induced concrete corrosion
Corrosion model
XGBoost
Bayesian optimization
Online Access:http://www.sciencedirect.com/science/article/pii/S2214509522007811

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http://www.sciencedirect.com/science/article/pii/S2214509522007811

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