Cross-project utilisation of tunnel boring machine (TBM) construction data: a case study using big data from Yin-Song diversion project in China (Unknown)
- New search for: Li, Xu
- New search for: Li, Haibo
- New search for: Du, Saizhao
- New search for: Jing, Liujie
- New search for: Li, Pengyu
- New search for: Li, Xu
- New search for: Li, Haibo
- New search for: Du, Saizhao
- New search for: Jing, Liujie
- New search for: Li, Pengyu
In:
Georisk: Assessment and Management of Risk for Engineered Systems and Geohazards
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17
, 1
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127-147
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2023
- Article (Journal) / Electronic Resource
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Title:Cross-project utilisation of tunnel boring machine (TBM) construction data: a case study using big data from Yin-Song diversion project in China
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Contributors:Li, Xu ( author ) / Li, Haibo ( author ) / Du, Saizhao ( author ) / Jing, Liujie ( author ) / Li, Pengyu ( author )
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Published in:
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Publisher:
- New search for: Taylor & Francis
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Publication date:2023-01-02
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Size:21 pages
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ISSN:
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DOI:
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Type of media:Article (Journal)
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Type of material:Electronic Resource
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Language:Unknown
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Keywords:
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Source:
Table of contents – Volume 17, Issue 1
The tables of contents are generated automatically and are based on the data records of the individual contributions available in the index of the TIB portal. The display of the Tables of Contents may therefore be incomplete.
- 1
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Special issue on “Machine learning and AI in geotechnics”Phoon, K. K. / Zhang, L. M. / Cao, Z. J. et al. | 2023
- 7
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Future of machine learning in geotechnicsPhoon, Kok-Kwang / Zhang, Wengang et al. | 2023
- 23
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Development of training image database for subsurface stratigraphyShi, Chao / Wang, Yu et al. | 2023
- 41
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Data-driven subsurface modelling using a Markov random field modelShuku, Takayuki / Phoon, Kok-Kwang et al. | 2023
- 64
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Multi-fidelity data-driven modelling of rate-dependent behaviour of soft claysHe, Geng-Fu / Zhang, Pin / Yin, Zhen-Yu / Jin, Yin-Fu / Yang, Yi et al. | 2023
- 77
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Data-driven approximation of geotechnical dynamics to an equivalent single-degree-of-freedom vibration system based on dynamic mode decompositionShioi, Akihiro / Otake, Yu / Yoshida, Ikumasa / Muramatsu, Shogo / Ohno, Susumu et al. | 2023
- 98
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Spatiotemporal prediction of landslide displacement using deep learning approaches based on monitored time-series displacement data: a case in the Huanglianshu landslideXi, Ning / Zang, Mingdong / Lin, Ruoshen / Sun, Yingjie / Mei, Gang et al. | 2023
- 114
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On prediction of slope failure time with the inverse velocity methodZhang, Jie / Yao, Hong-zeng / Wang, Zi-peng / Xue, Ya-dong / Zhang, Lu-lu et al. | 2023
- 127
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Cross-project utilisation of tunnel boring machine (TBM) construction data: a case study using big data from Yin-Song diversion project in ChinaLi, Xu / Li, Haibo / Du, Saizhao / Jing, Liujie / Li, Pengyu et al. | 2023
- 148
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A real-time intelligent classification model using machine learning for tunnel surrounding rock and its applicationMa, Junjie / Li, Tianbin / Yang, Gang / Dai, Kunkun / Ma, Chunchi / Tang, Hao / Wang, Gangwei / Wang, Jianfeng / Xiao, Bo / Meng, Lubo et al. | 2023
- 169
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A hybrid physical data informed DNN in axial displacement prediction of immersed tunnel jointYan, Wei / Yan, Yu / Shen, Ping / Zhou, Wan-Huan et al. | 2023
- 181
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Real-time tunnel lining crack detection based on an improved You Only Look Once version X algorithmZhou, Zhong / Yan, Longbin / Zhang, Junjie / Yang, Hao et al. | 2023
- 196
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A novel long-short term memory network approach for stress model updating for excavations in high stress environmentsMorgenroth, J. / Kalenchuk, K. / Moreau-Verlaan, L. / Perras, M. A. / Khan, U. T. et al. | 2023
- 217
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Characterisation for spatial distribution of mining-induced stress through deep learning algorithm on SHM dataTan, Xuyan / Chen, Weizhong / Qin, Changkun / Zhao, Wusheng / Ye, Wei et al. | 2023
- 227
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Report for ISSMGE TC309/TC304/TC222 Third ML dialogue on “Data-Driven Site Characterization (DDSC)”Phoon, Kok-Kwang / Cao, Zi-Jun / Liu, Zhongqiang / Ching, Jianye et al. | 2023