Forecasting of TBM advance rate in hard rock condition based on artificial neural network and genetic programming techniques
The efficiency of tunnel boring machine (TBM) is regarded as a key factor in successfully undertaking any mechanical tunneling project. In fact, an accurate forecasting of TBM performance, especially in a specified rock mass condition, can minimize capital costs and scheduling for tunnel excavation....
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| Main Authors: | , , , |
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| Format: | Article |
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Springer
2020
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| Subjects: | |
| Online Access: | http://eprints.utm.my/id/eprint/93830/ http://dx.doi.org/10.1007/s10064-019-01626-8 |
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