Air losses in compressed air tunneling : a prediction model

Ahangar Asr, A ORCID: and Javadi, AA 2016, 'Air losses in compressed air tunneling : a prediction model' , Proceedings of the ICE - Engineering and Computational Mechanics, 169 (3) , pp. 140-147.

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Data (measurements) from a tunnel in Munich, Germany was used to develop and validate a model to predict air loss volumes in the process of compressed air tunnelling. In the implemented case study, compressed air was used as a measure to control the groundwater followed by placing a shotcrete lining as temporary support. Evolutionary polynomial regression was used for modelling. EPR is a data-driven method based on evolutionary computing aiming to search for an explicit and structured polynomial model representing air losses. Comparisons made between the actual measurements and the model predictions represented robustness of the suggested model in learning and predicting the behaviour of the system. A sensitivity analysis was also performed on the developed model which revealed the reliability of the model by correctly presenting the expected effect from air permeability of the soil despites in non-homogeneous and layered nature of the geo-materials involved in this case study.

Item Type: Article
Schools: Schools > School of Computing, Science and Engineering > Salford Innovation Research Centre
Journal or Publication Title: Proceedings of the ICE - Engineering and Computational Mechanics
Publisher: Institution of Civil Engineers (ICE)
ISSN: 1755-0777
Funders: Non funded research
Depositing User: Dr Alireza Ahangar Asr
Date Deposited: 18 May 2016 12:02
Last Modified: 16 Feb 2022 17:50

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