阅读说明：本技术 一种tbm岩体条件相关利用率的预测方法 (Method for predicting TBM rock mass condition-related utilization rate ) 是由 李林锋 于 2021-08-23 设计创作，主要内容包括：本发明公开了一种TBM岩体条件相关利用率的预测方法,该预测方法包括以下步骤：建立TBM预测模型,使TBM模型接近地质条件,理论实验结合试验,获取所处环境下力学参数；模拟岩层分级预测TBM掘进性能,TBM掘进环境下根据岩体分级应对可掘性,以评估围岩稳定性来预测TBM掘进性能相关性研究；数据库的建立,TBM的掘进通过掘进速率、施工进度、利用率以及贯入度指数衡量,并在不同岩性岩石质量环境下以及施工过程中操作因素对TBM性能参数影响进行记录；TBM掘进性能分析,岩体分级与BM掘进性能相关,通过掘进速率、施工进度、利用率以及贯入度指数进行公式计算,分析岩体地质条件对施工进度的影响,本发明根据岩体质地条件可以较好的分析预测TBM掘进的性能。(The invention discloses a method for predicting the condition-related utilization rate of a TBM rock mass, which comprises the following steps: building a TBM prediction model to enable the TBM model to be close to geological conditions, and acquiring mechanical parameters under the environment by combining theoretical experiments with tests; simulating rock stratum grading to predict TBM tunneling performance, and predicting TBM tunneling performance correlation research by evaluating surrounding rock stability according to rock mass grading coping digchability under a TBM tunneling environment; establishing a database, measuring the tunneling rate, the construction progress, the utilization rate and the penetration index of the TBM, and recording the influence of operation factors on the performance parameters of the TBM under different lithologic rock quality environments and in the construction process; the TBM tunneling performance analysis is carried out, rock mass classification is related to BM tunneling performance, formula calculation is carried out through tunneling rate, construction progress, utilization rate and penetration index, and the influence of rock mass geological conditions on the construction progress is analyzed.)

1. A method for predicting the condition-dependent utilization rate of a TBM rock mass is characterized by comprising the following steps: 1. building a TBM prediction model; 2. simulating rock stratum to predict TBM tunneling performance in a grading manner; 3. establishing a database; 4. and analyzing TBM tunneling performance.

2. The method for predicting the condition-dependent utilization rate of the TBM rock mass according to claim 1, is characterized in that: the TBM prediction model comprises a rock breaking mechanism and a rock mass state, wherein the rock breaking mechanism comprises the shape of a TBM rock breaking cutter and micro-crack parameters generated when the TBM rock breaking cutter enters the rock mass; the rock mass state comprises a rock area in the state and the ground stress and underground water conditions under the relative environment.

3. The method for predicting the condition-dependent utilization rate of the TBM rock mass according to claim 1, is characterized in that: the rock stratum grading in the simulated rock stratum grading prediction TBM tunneling performance comprises five rock mass parameters: rock strength, rock quality index, joint spacing, joint condition and groundwater, and RMR equals the sum of five parameters, and the formation grade will be related to the TBM tunneling rate.

4. The method for predicting the condition-dependent utilization rate of the TBM rock mass according to claim 1, is characterized in that: and during the establishment of the database, the data uploading is carried out on the tunneling speed (torque, penetration degree, direction and cutter power), the construction speed, the downtime, the cutter abrasion change and the replacement condition under the construction state.

5. The method for predicting the condition-dependent utilization rate of the TBM rock mass according to claim 1, is characterized in that: and in the TBM tunneling performance analysis, RMR is in correlation with the utilization rate, the tunneling speed and the construction progress.

Technical Field

The invention relates to the technical field of TBM tunneling performance analysis and prediction, in particular to a method for predicting TBM rock mass condition related utilization rate.

Background

The TBM tunnel construction has the advantages of high tunneling efficiency, good tunneling quality, safety, environmental protection, high automation degree and the like, and becomes a preferential selection method for long tunnel construction in China. But the compliance of the TBM construction to geological conditions is obvious, and the TBM tunneling performance under different geological conditions is obviously different. When extreme unfavorable geological conditions occur, the adaptability of the TBM is extremely poor, so that the tunneling efficiency is low, even accidents such as blocking occur, the construction cost is greatly increased, and the construction period is delayed. Therefore, the method can accurately predict the tunneling performance of the TBM under different geological conditions, and has great significance for tunnel construction period prediction, cost control and the like. The TBM utilization rate is taken as one of important factors influencing the tunneling performance of the TBM, the engineering period and economic risk can be reduced by accurately evaluating and predicting the TBM utilization rate, and therefore the maximization of the TBM construction benefit is achieved.

When the TBM passes through the disturbed stratum, if shear-expansion joints exist in the stratum or the joint spacing is small, the stratum is likely to be over excavated or collapsed; when the TBM tunnels in a high-ground-stress stratum, the high ground stress can cause shear cracking of surrounding rocks of an excavation face, so that the tunneling performance of the TBM is seriously influenced, and therefore, the prediction analysis of the rock mass condition related utilization rate of the TBM is particularly important.

Disclosure of Invention

The invention aims to provide a method for predicting the related utilization rate of the rock mass condition of TBM, which can better analyze and predict the tunneling performance of TBM by applying the rock mass condition and increase the tunneling rate and the utilization rate of TBM.

In order to achieve the purpose, the invention provides the following technical scheme: the prediction method comprises the following steps: building a TBM model to enable the TBM model to be close to geological conditions, and acquiring mechanical parameters under the environment by combining theoretical experiments with tests; simulating rock stratum grading to predict TBM tunneling performance, and predicting TBM tunneling performance correlation research by evaluating surrounding rock stability according to rock mass grading coping digchability under a TBM tunneling environment; establishing a database, measuring the tunneling rate, the construction progress, the utilization rate and the penetration index of the TBM, and recording the influence of operation factors on the performance parameters of the TBM under different lithologic rock quality environments and in the construction process; and analyzing the tunneling performance of the TBM, wherein the rock mass classification is related to the BM tunneling performance, and the influence of the geological condition of the rock mass on the construction progress is analyzed by performing formula calculation through the tunneling rate, the construction progress, the utilization rate and the penetration index.

Further, the TBM prediction model comprises a rock breaking mechanism and a rock mass state, wherein the rock breaking mechanism comprises the shape of a TBM rock breaking cutter and a micro-crack parameter generated when the TBM rock breaking cutter enters the rock mass; the rock mass state comprises a rock area in the state and the ground stress and underground water conditions under the relative environment.

Further, the rock stratum grading in the simulated rock stratum grading prediction TBM tunneling performance comprises five rock mass parameters: rock strength, rock quality index, joint spacing, joint condition and groundwater, and RMR equals the sum of five parameters, and the formation grade will be related to the TBM tunneling rate.

Furthermore, during the establishment of the database, the data uploading is carried out on the tunneling speed (torque, penetration degree, direction and cutter power), the construction speed, the downtime, the cutter abrasion change and the replacement condition under the construction state.

Furthermore, RMR in the TBM tunneling performance analysis is related to the utilization rate, the tunneling speed and the construction progress.

Compared with the prior art, the invention has the beneficial effects that: according to the method, the TBM tunneling performance can be well analyzed and predicted according to the rock texture conditions, meanwhile, unnecessary shutdown can be reduced by analyzing management and control measures, and the TBM tunneling rate and the TBM tunneling utilization rate are increased.

Drawings

FIG. 1 is a block diagram of a method for predicting the condition-dependent utilization rate of a TBM rock mass.

Detailed Description

The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.

Referring to fig. 1, the present invention provides a technical solution: the method comprises the following steps: 1. building a TBM prediction model; 2. simulating rock stratum to predict TBM tunneling performance in a grading manner; 3. establishing a database; 4. and analyzing TBM tunneling performance.

The TBM prediction model comprises a rock breaking mechanism and a rock mass state, wherein the rock breaking mechanism comprises the shape of a TBM rock breaking cutter and micro-crack parameters generated when the TBM rock breaking cutter enters the rock mass; the rock mass state comprises a rock area in the state and the ground stress and underground water conditions under the relative environment.

The rock stratum grading in the simulated rock stratum grading prediction TBM tunneling performance comprises five rock mass parameters: rock strength, rock quality index, joint spacing, joint condition and groundwater, and RMR equals the sum of five parameters, and the formation grade will be related to the TBM tunneling rate.

And during the establishment of the database, the data uploading is carried out on the tunneling speed (torque, penetration degree, direction and cutter power), the construction speed, the downtime, the cutter abrasion change and the replacement condition under the construction state.

And in the TBM tunneling performance analysis, RMR is in correlation with the utilization rate, the tunneling speed and the construction progress.

In the application of the method for predicting the related utilization rate of the rock mass condition of the TBM, the tunneling performance of the TBM can be better evaluated by analyzing and predicting the relative relation of the rock mass, meanwhile, the shutdown of the TBM caused by poor geological conditions can be used for supporting surrounding rocks, the strength of the rock mass can be supplemented, the relative control of construction equipment and management parameters is facilitated, the tunneling rate and the utilization rate of the TBM can be increased, and the shutdown time can be reduced.

It will be evident to those skilled in the art that the invention is not limited to the details of the foregoing illustrative embodiments, and that the present invention may be embodied in other specific forms without departing from the spirit or essential attributes thereof. The present embodiments are therefore to be considered in all respects as illustrative and not restrictive, the scope of the invention being indicated by the appended claims rather than by the foregoing description, and all changes which come within the meaning and range of equivalency of the claims are therefore intended to be embraced therein. Any reference sign in a claim should not be construed as limiting the claim concerned.