@inproceedings{908e76c35d2b4843a469d42b48f5c5e3,
title = "Stochastic modelling for service life prediction of underground tunnels subjected to water ingress",
abstract = "![CDATA[This paper presents a methodology in which both the temporal and spatial variation of water seepage in tunnel lining can be considered. Temporal variation is modelled using the Gamma process, while copulas are used to model spatial correlation in the seepage process. Simulation based on the Monte Carlo technique is employed to find the extent of water seepage over the tunnel. An illustrative example is used to show applicability of the proposed method. The results showed that the likelihood and extent of seepage-induced damage rapidly increase with time. Based on an acceptable probability of failure of 0.20, service life of tunnel for 50% extent of damage is more than three times that of 0.05 of extent of damage. Output of this research highlights the need for more research on statistical analysis of water seepage in concrete.]]",
keywords = "Monte Carlo method, concrete, seepage, service life (engineering), tunnels",
author = "Hassan Baji and Ronagh, {Hamid Reza}",
year = "2020",
doi = "10.1007/978-981-15-5144-4_114",
language = "English",
isbn = "9789811551437",
publisher = "Springer",
pages = "1161--1168",
booktitle = "ICSCEA 2019: Proceedings of the International Conference on Sustainable Civil Engineering and Architecture, ICSCEA 2019, Ho Chi Minh City, Vietnam, 24 - 26 October 2019",
note = "International Conference on Sustainable Civil Engineering and Architecture ; Conference date: 24-10-2019",
}