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A model to predict the performance of roadheaders based on the Rock Mass Brittleness Index – KAMY Roadheader Finally, the new predictive models for ICR and PCR showed very good correlations with the actual measured values.

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A new model to predict roadheader performance ... a dataset composed of roadheader performance rate and rock ... Prediction of roadheader cutting ...

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Prediction of roadheader performance by artificial neural

The main parameters used to predict the ICR of roadheader are uniaxial compressive strength (UCS) and rock quality designation (RQD), which are used as input parameters in these models. This original data set, taking into account these input parameters, i

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Nsutite Roadheader - Roadheader Cutting Machine

A new model to predict roadheader performance using rock mass ... Prediction of roadheader performance plays a significant role in the plan of tunnel construction, which is influenced by different key parameters, including rock ...

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Predicting roadheader performance by using artificial

Predicting roadheader performance by using artificial neural ... This paper makes an attempt to model the rate of roadheader performance based on the geotechnical and ... a new model based on ANN is developed to predict the rate of the roadheader performan

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A new model to predict roadheader performance

It is demonstrated that the proposed model can accurately predict the roadheader performance as a function of rock mass properties. Keywords roadheader performance, Tabas Coal Mine, rock mass property, alpha angle, prediction

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A new model to predict roadheader performance using rock

The results show that rock mass properties have a considerable impact on the rate of the roadheader performance. It is demonstrated that the proposed model can accurately predict the roadheader performance as a function of rock mass properties.

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A Model to Predict The Performance of Roadheaders and

A Model to Predict The Performance of Roadheaders and Impact Hammers in Tunnel Drivages N. Bilgin, S. Yazici, Ş. Eskikaya ... 5.1 The analysis of data obtained from roadheader applications ... Vol 1.: 262-279, New York. 7. Ozdemir, L. 1995. Mechanical min

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PDF A Model to Predict The Performance of Roadheaders and Impact

prediction model of any mechanical excavator RQD and compressive strength should be considered together. 6 CONCLUSIONS The analysis of field data in six different tunnels gave the opportunity to improve the roadheader performance predictor equations alrea

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Application of Soft Computing Methods for the Estimation of

roadheader ïs cutting performance in coal measure rocks. Ebrahimabadi and Goshtasbi [21] have also suggested a method to predict the performance of roadheaders based on the Rock Mass Brittleness Index. Abdolreza and Siamak [2] developed a model to predict

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A Model to Predict the Performance of Roadheaders Based

(R²=0.A model to predict the performance of roadheaders based on the Rock Mass Brittleness Index J o u r n a l P a p e r Figure 1—Typical view of rock formations encountered in the tunnels’ route Model construction to predict the performance of the roadhe

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cutting performance assessment of a medium weight roadheader

Further investigations on roadheader's performance is conducted by Copur et al. (1998) in mining projects, leading to a set of formulas for predicting transverse roadheaders as below: ICR ¼ 27:511e 0:0023RPI ð6Þ PRI ¼ PW=r c ð7Þ where PRI is the roadheade

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A Universal Model to Predict Roadheaders’ Cutting

With the aim to construct a universal model for predicting the roadheader performance, we have now tried to establish a database consisting measured cutting rate of roadheaders as well as the data gathered from field studies of Tabas Coal Mine project and

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A model to predict the ... An accurate prediction of roadheader performance ... Another method of performance prediction is to test an actual used or new ...

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An attempt is made to modify the equation used in the past to predict net breaking rate of impact hammers and it is proved that a reduction factor in the breaking rate taking account the thickness of the dykes improves the validity of the proposed model i

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a new model to predict roadheader - Roadheaders

A new model to predict roadheader performance … Prediction of roadheader performance plays a significant role in the plan of tunnel construction, which is influenced by different key parameters, including rock strength, discontinuity in rock mass,...

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New model for predicting Instantaneous Cutting Rate of

A broad modeling and analysis found a fair relationship, resulting in a new universal predictive model to predict the cutting rate of roadheaders with correlation of 0.73 ( R ² = 0.73).

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EM 1110-2-2901 Tunnels and Shafts in Rock | Rock (Geology

EM 1110-2-2901 Tunnels and Shafts in Rock - Ebook download as PDF File (.pdf), Text File (.txt) or read book online.

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New Model for Predicting Instantaneous Cutting

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A new model to predict roadheader performance - Springer

Prediction of roadheader performance plays a significant role in the plan of tunnel construction, which is influenced by different key parameters, including rock strength, discontinuity in rock mass,...

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Prediction of roadheaders' performance using artificial

Prediction of roadheaders' performance using artificial ... The MSEs for previous model and the new ANN model are 8 ... S. EskikayaA model to predict the performance ...

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A new model to predict roadheader … A new model to predict roadheader performance using rock mass properties. ... Demircin M A, Copur H, Balci C, ...

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PDF A model to predict the performance of roadheaders based on

consumption rates (PCR) (R²=0.79). Finally, the new predictive models for ICR and PCR showed very good correlations with the actual measured values. Keywords Performance prediction, roadheader, brittleness index, mechanical excavation. * Department of Min

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A new model to predict roadheader performance using rock mass properties March 2013 · Journal of Coal Science and Engineering (China) Prediction of roadheader …

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A Model to Predict The Performance of tunnelling Machines

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(PDF) Predicting roadheader performance by using

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