NDLI: TBM data processing for performance assessment and prediction in hard rock

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TBM data processing for performance assessment and prediction in hard rock

Content Provider	Scilit
Author	Rispoli, A. Ferrero, A. M. Cardu, M.
Copyright Year	2019
Description	TBM data processing is an important aspect that affects several phases of the construction process of a tunnel excavated by TBM. The real-time machine monitoring is required during the excavation phase, and the TBM data are used after the tunnel completion to gather information for predictions in new tunnel projects. The main issues typically involved in TBM data processing include the raw data management and filtering, the implementation of the rock mass data, and the machine performance evaluation. The paper presents a series of procedures for dealing with the TBM data processing in hard rock context, starting from the raw data provided by the machine acquisition system. Guidelines for an efficient data filtering are provided, together with techniques to improve the representativeness of the data sample. Several techniques for analysing and modelling the datasets are reported, including descriptive statistics, regression analysis and neural net fitting. An approach to carry out probabilistic analysis on the TBM parameters is also described. Book Name: Tunnels and Underground Cities: Engineering and Innovation meet Archaeology, Architecture and Art
Related Links	https://content.taylorfrancis.com/books/download?dac=C2018-0-88493-3&isbn=9780429424441&doi=10.1201/9780429424441-311&format=pdf
Ending Page	2949
Page Count	10
Starting Page	2940
DOI	10.1201/9780429424441-311
Language	English
Publisher	Informa UK Limited
Publisher Date	2019-04-17
Access Restriction	Open
Subject Keyword	Book Name: Tunnels and Underground Cities: Engineering and Innovation Meet Archaeology, Architecture and Art Microscopic Research Excavation Tunnel Data Processing Tbm Data Neural Modelling Filtering
Content Type	Text
Resource Type	Chapter

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