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End-of-Service Life Estimation Model for Concrete Sewers

Project Member(s): Wang, Y., Tian, H., Li, Z., Chen, F., Guo, T.

Funding or Partner Organisation: Smartcrete CRC
Smartcrete CRC

Start year: 2022

Summary: This project will develop a model combining data analytics with experimental research to determine parameters necessary to estimate corrosion rates and predict end-of-service life estimation model for concrete sewers.


Wan, Z, Liu, X, Wang, B, Qiu, J, Li, B, Guo, T, Chen, G & Wang, Y 2024, 'Spatio-temporal Contrastive Learning-enhanced GNNs for Session-based Recommendation', ACM Transactions on Information Systems, vol. 42, no. 2, pp. 1-26.
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Li, B, Guo, T, Zhu, X, Wang, Y & Chen, F 2023, 'ConGCN: Factorized Graph Convolutional Networks for Consensus Recommendation' in Machine Learning and Knowledge Discovery in Databases: Research Track, Springer Nature Switzerland, pp. 369-386.
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FOR Codes: Pattern recognition, Water services and utilities