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Geotechnical and Geological Engineering

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16.01.2022 | Original Paper

Risk Assessment of Building Damage Induced by Tunnelling Through a Gene Expression Programming Model

verfasst von: E. Namazi, M. Hajihassani, S. O. Gilani, S. Y. Zolfegharifar

Erschienen in: Geotechnical and Geological Engineering | Ausgabe 4/2022

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Abstract

A gene expression programming (GEP) model has been used for predicting the risk of building damage due to ground movement induced by tunnelling. A critical displacement parameter, namely deflection ratio, and building major affecting factors have been identified from the previous empirical method. A general GEP model is trained and evaluated using the actual collected data from Karaj Railway in Iran, and published case histories from other projects around the world. The general model results are compared with the actual field measurements for the training of the model purpose. The trained network is used to estimate the risk of damage for a few case histories. It is shown that not only a GEP model learns a relationship between the risk of building damage with appropriate ground movement and building parameters, but it can also develop the learning to predict damage for very different geological and tunnel and building geometric conditions.

Vorheriger Artikel Analysis of Time-Dependent Soil Behavior Above High-Filled Cut-and-Cover Tunnels Using Discrete Element Method

Nächster Artikel Investigation of Soil Suction Characteristics Induced by the Degradation of Organic Matter

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Titel: Risk Assessment of Building Damage Induced by Tunnelling Through a Gene Expression Programming Model
verfasst von: E. Namazi
M. Hajihassani
S. O. Gilani
S. Y. Zolfegharifar
Publikationsdatum: 16.01.2022
Verlag: Springer International Publishing
Erschienen in: Geotechnical and Geological Engineering / Ausgabe 4/2022
Print ISSN: 0960-3182
Elektronische ISSN: 1573-1529
DOI: https://doi.org/10.1007/s10706-021-02033-1

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