Eine Plattform für die Wissenschaft: Bauingenieurwesen, Architektur und Urbanistik
Eine Plattform für die Wissenschaft: Bauingenieurwesen, Architektur und Urbanistik
Risk Assessment of Building Damage Induced by Tunnelling Through a Gene Expression Programming Model
https://orcid.org/0000-0003-4186-9450
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.
Risk Assessment of Building Damage Induced by Tunnelling Through a Gene Expression Programming Model
https://orcid.org/0000-0003-4186-9450
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.
Risk Assessment of Building Damage Induced by Tunnelling Through a Gene Expression Programming Model
https://orcid.org/0000-0003-4186-9450
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.
Risk Assessment of Building Damage Induced by Tunnelling Through a Gene Expression Programming Model
Namazi, E. (Autor:in) / Hajihassani, M. (Autor:in) / Gilani, S. O. (Autor:in) / Zolfegharifar, S. Y. (Autor:in)
2022
Aufsatz (Zeitschrift)
Elektronische Ressource
Englisch
Ground movement , Risk , GEP , Building damage , Crack width
BKL:
57.00$jBergbau: Allgemeines
/
38.58
Geomechanik
/
57.00
Bergbau: Allgemeines
/
56.20
Ingenieurgeologie, Bodenmechanik
/
38.58$jGeomechanik
/
56.20$jIngenieurgeologie$jBodenmechanik
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