Eine Plattform für die Wissenschaft: Bauingenieurwesen, Architektur und Urbanistik
Eine Plattform für die Wissenschaft: Bauingenieurwesen, Architektur und Urbanistik
Modeling Uncertainty in Cutter Wear Prediction for Tunnel Boring Machines
Wear of cutting tools and the excavation performance of tunnel boring machines (TBM) is influenced by a number of geotechnical parameters. The prediction model of the Colorado School of Mines uses Uniaxial Compressive Strength, Brazilian Tensile Strength, and Cerchar Abrasivity Index. Due to the complex nature of rock each of these parameters shows variance and there are correlations between these parameters. The usual approach to performance and wear prediction is to use average input parameters to estimate the "average" result. It is shown that this is not always correct because of the statistical nature of the input parameters. The approach described in this paper establishes a statistical model for the performance and wear prediction based on the previously developed model. Since an analytical solution for variance prediction is not possible for this model a Monte- Carlo simulation is used.
Modeling Uncertainty in Cutter Wear Prediction for Tunnel Boring Machines
Wear of cutting tools and the excavation performance of tunnel boring machines (TBM) is influenced by a number of geotechnical parameters. The prediction model of the Colorado School of Mines uses Uniaxial Compressive Strength, Brazilian Tensile Strength, and Cerchar Abrasivity Index. Due to the complex nature of rock each of these parameters shows variance and there are correlations between these parameters. The usual approach to performance and wear prediction is to use average input parameters to estimate the "average" result. It is shown that this is not always correct because of the statistical nature of the input parameters. The approach described in this paper establishes a statistical model for the performance and wear prediction based on the previously developed model. Since an analytical solution for variance prediction is not possible for this model a Monte- Carlo simulation is used.
Modeling Uncertainty in Cutter Wear Prediction for Tunnel Boring Machines
Frenzel, C. (Autor:in)
GeoCongress 2012 ; 2012 ; Oakland, California, United States
GeoCongress 2012 ; 3239-3247
29.03.2012
Aufsatz (Konferenz)
Elektronische Ressource
Englisch
Modeling Uncertainty in Cutter Wear Prediction for Tunnel Boring Machines
| British Library Conference Proceedings | 2012
Prediction Model for Disc Cutter Wear of Tunnel Boring Machines in Sandy Cobble Strata
| Springer Verlag | 2020
Cutter Instrumentation System for Tunnel Boring Machines
| British Library Conference Proceedings | 2010
Cutter wear mechanisms in hard rock tunnel boring
| Wiley | 2018
Cutter force measurement on tunnel boring machines – System design
| Elsevier | 2012