CN109117556B - A prediction method of shield advancing distance based on cutting performance of shield cutter head - Google Patents

A prediction method of shield advancing distance based on cutting performance of shield cutter head Download PDF

Info

Publication number
CN109117556B
CN109117556B CN201810922948.0A CN201810922948A CN109117556B CN 109117556 B CN109117556 B CN 109117556B CN 201810922948 A CN201810922948 A CN 201810922948A CN 109117556 B CN109117556 B CN 109117556B
Authority
CN
China
Prior art keywords
shield
tool
cutter head
cutter
wear
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Expired - Fee Related
Application number
CN201810922948.0A
Other languages
Chinese (zh)
Other versions
CN109117556A (en
Inventor
王树英
黄硕
刘朋飞
赵合全
房中玉
王海波
胡钦鑫
阳军生
章怡
袁永学
夏毅敏
徐慧旺
刘奥林
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Central South University
China Railway 14th Bureau Group Shield Engineering Co Ltd
Original Assignee
Central South University
China Railway 14th Bureau Group Shield Engineering Co Ltd
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Central South University, China Railway 14th Bureau Group Shield Engineering Co Ltd filed Critical Central South University
Priority to CN201810922948.0A priority Critical patent/CN109117556B/en
Publication of CN109117556A publication Critical patent/CN109117556A/en
Application granted granted Critical
Publication of CN109117556B publication Critical patent/CN109117556B/en
Expired - Fee Related legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Images

Classifications

    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F30/00Computer-aided design [CAD]
    • G06F30/20Design optimisation, verification or simulation
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F2111/00Details relating to CAD techniques
    • G06F2111/10Numerical modelling

Landscapes

  • Engineering & Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • Theoretical Computer Science (AREA)
  • Computer Hardware Design (AREA)
  • Evolutionary Computation (AREA)
  • Geometry (AREA)
  • General Engineering & Computer Science (AREA)
  • General Physics & Mathematics (AREA)
  • Excavating Of Shafts Or Tunnels (AREA)

Abstract

本发明公开了一种基于盾构刀盘刀具分区切削性能的盾构推进距离预测方法。该方法基于可靠性理论结合性能退化的思想研究刀盘刀具在切削过程中可靠性变化的普遍数量规律,并对其进行分析、评价、设计和控制,且可考虑刀具磨损历史。利用概率统计学原理并考量盾构推进的综合环境,结合大量工程经验绘制出考虑环境因素的盾构刀具系统在分区状况下磨损量随推进距离的空间坐标变化图,为各类环境下盾构开舱换刀距离的预测提供参考。本专利能够同过控制刀具磨损合理地预测盾构的推进距离,可为盾构隧道施工方案编制过程中开仓换刀位置的主动预测与选取提供科学方法。

Figure 201810922948

The invention discloses a shield driving distance prediction method based on the partition cutting performance of a shield cutter head. Based on the reliability theory combined with the idea of performance degradation, this method studies the general quantitative law of the reliability change of the cutter head tool during the cutting process, and analyzes, evaluates, designs and controls it, and can consider the tool wear history. Using the principle of probability and statistics and considering the comprehensive environment of shield driving, combined with a large number of engineering experience, a graph of the spatial coordinate change of the wear amount with the advancing distance of the shield tool system considering environmental factors is drawn, which is a useful tool for shield driving in various environments. The prediction of the tool change distance when opening the cabin provides a reference. The patent can reasonably predict the advancing distance of the shield by controlling the tool wear, and can provide a scientific method for the active prediction and selection of the position of the opening and the tool change during the preparation of the shield tunnel construction plan.

Figure 201810922948

Description

Shield propulsion distance prediction method based on shield cutter head cutter partition cutting performance
Technical Field
The invention relates to a shield propulsion distance prediction method based on shield cutterhead cutter partition cutting performance, which is particularly suitable for sandy strata with larger cutter abrasion loss.
Background
The shield construction method is one of important construction methods for soft soil stratum tunnel excavation, and is generally applied to subway construction in various cities at home and abroad. Because the understanding of the relative relation between the propulsion distance and the cutter abrasion in the propulsion process of the earth pressure balance shield is not thorough enough, the arrangement of the tool changing distance for opening the cabin is not reasonable enough, and the phenomenon that the cutter is seriously abraded due to the overlong tool changing distance and the propulsion efficiency is reduced suddenly occurs.
The theoretical research and the engineering practice of the current shield cutter head cutter wear basically take the cutter wear value feedback measured by opening a cabin for a plurality of times as a core, and establish a model of the cutter wear amount changing along with the propelling distance by a series of statistical data processing and calculation and referring to the engineering experience. However, the environmental conditions of shield excavation are very different, and the shield cutterhead is a complex nonlinear stress structure with randomness, so that the shield excavation method is usually distorted by adopting a linear statistical theory in a general sense. Meanwhile, the existing tool wear prediction model usually focuses on the wear amount of the tool and seldom cares about the propulsion environment of the shield, so that the universality of the prediction model is greatly reduced. In addition, a plurality of existing models predict the abrasion loss of a single cutter, but the cutter head is an aggregate of a plurality of cutters, the propelling capacity of the cutter head is not determined by the abrasion condition of the single cutter, and the abrasion loss of each cutter on the cutter head is considered uniformly to comprehensively evaluate the abrasion of the cutters of the cutter head and the cutting capacity of the cutter head. At present, various shield cutter systems are generally provided with cutter wear detection cutters to evaluate the cutting performance of a cutter head, but only passive cutter changing can be realized through detection cutter data, the condition of the cutter wear of a stratum where a shield is located cannot be evaluated in advance before the shield is tunneled, the prediction of an active cutter changing point cannot be realized, and in addition, the integral wear condition of the cutter head and cutter system cannot be reflected due to the limited number of the detection cutters. Based on the above discussion, the existing cutter wear prediction model has more short plates, and the shield propulsion distance prediction method which combines the propulsion environment and considers the reliability of the cutter head and cutter system has certain advantages in reasonably predicting the cutter changing distance.
The method reasonably introduces a reliability theory into failure prediction of the mechanical electronic system, has certain innovativeness, considers the problem of wear of a shield cutter, does not specially apply the reliability theory to wear prediction of a shield cutter head, and has a plurality of theoretical short plates with incomplete model definition and incomplete prediction hypothesis in the special wear prediction problem although the theory is reasonable. And the research does not make relevant discussion about the operation environment of the original to be considered, and environmental factors are not taken into consideration in observation quantity degradation observation analysis, so that the application range of the final result is too narrow.
The tube generation technology (railway construction technology, 2017 (09): 1-5) applies the reliability theory to the analysis of the cutter abrasion conditions of different propulsion distances, calculates the variation function of the cutter reliability along with the shield propulsion distance, and finally predicts the propulsion distance of the shield under the stipulated cutter reliability. The article reasonably utilizes a powerful statistical tool of Weibull distribution, and well combines the cutter wear amount and shield propulsion distance prediction with a reliability theory. However, the research is not reasonable for the partition of a cutter head cutter, the research equally divides the cutter head into 12 areas along the circumferential direction, the average value of the abrasion loss of a plurality of positions in each area is taken as the representative value of the average value of the research area, however, the cutting mileage of different positions of the cutter head at the same propelling distance of the shield is different due to different radial positions of the positions on the cutter head from the center of the cutter head, the generated abrasion loss is naturally different, and the abrasion of the areas at different radial positions on the cutter head can be called 'different types of abrasion' and cannot be simply averaged. Meanwhile, in the process of predicting the shield propelling distance by using the reliability theory, environmental factors such as stratum abrasiveness and the like are not considered, so that the research result is derailed from the engineering field, and the application universality and universality are reduced.
Disclosure of Invention
The present application is directed to solving at least one of the problems in the prior art. Therefore, one of the purposes of the invention is to provide a shield propulsion distance prediction method for shield cutter head cutter partition cutting performance, which has simple process, clear logic and high practicability.
In order to solve the technical problems, the invention adopts the following technical scheme:
a shield propulsion distance prediction method based on shield cutter head cutter partition cutting performance comprises the following steps
Step S1: considering the environment of shield propulsion in a research interval, and determining an environment evaluation value;
step S2: counting the cutter abrasion conditions of the shield cutter in different propelling mileage under the research interval environment, and considering that the abrasion loss of the cutter system at each time accords with normal distribution (formula 1) and the cutter system failure accords with Weibull distribution (formula 2);
Figure BDA0001764700230000031
wherein: j denotes different zones of the cutter head, i denotes different tools in the same zone, zijFor the amount of wear, mu, of a tool in a zone at a certain advance distancejIs the average value, σ, of the tool wear at a particular cutter head region at that distancejVariance of tool wear in the region;
Figure BDA0001764700230000032
wherein: x is the propelling distance of the shield, and beta and lambda are two characteristic parameters;
step S3: dividing the shield cutter head into concentric circle zones in the radial direction, classifying the cutters with approximate cutting lengths into the same zone (generally divided into 5 zones), and dynamically fine-tuning the positions of the cutters;
step S4: researching a certain specific concentric circle partition on a cutter disc, counting the abrasion loss of a cutter system in the partition between two adjacent cutter changing processes, and calculating the mean value and the variance of the abrasion loss of each cutter in the partition;
Figure BDA0001764700230000033
Figure BDA0001764700230000034
wherein:
Figure BDA0001764700230000035
is the variance of the amount of tool wear in this region,
Figure BDA0001764700230000036
is the average value of the wear of the tool in this region, zijThe abrasion loss of a certain cutter in the area, and m is the number of cutters in the area;
step S5: selecting a cutter failure threshold value d (generally d is 20mm) according to related engineering experience, and calculating the reliability R of the shield cutter head in different propelling distances of a selected research region in a normal distribution function;
Figure BDA0001764700230000041
wherein: z is a radical ofijThe abrasion loss of a certain cutter in a certain partition on the lower cutter head in a certain propelling distance;
step S6: according to the reliability values of the cutting performance of the cutter system under different propelling distances, which are obtained by calculation in the step S5, a calculation formula of the reliability of the cutting performance of the cutter changing along with the propelling distance can be solved by a mathematical method;
Figure BDA0001764700230000042
wherein: x is the propelling distance of the shield, and lambda and beta are two characteristic parameters in a formula that the cutting performance reliability of the cutter system to be solved changes along with the propelling distance;
step S7: solving a formula of the cutting performance reliability of cutter systems of other partitions of the cutter head along with the variation of the advancing distance, and finally obtaining a function curve group representing the variation of the reliability of different cutters of different partitions of the same cutter head under a certain environment;
Figure BDA0001764700230000043
wherein: j represents different partitions on the cutter head;
step S8: drawing a plane rectangular coordinate system considering the propelling distance and the cutting performance reliability of a cutter system, and drawing a reliability function curve of each partition of the cutter head into the coordinate system;
step S9: collecting tool wear data of different construction site sites, carrying out environment assessment on each site, solving tool system wear reliability function groups under various environment assessment values according to the steps from S1 to S8, drawing the function groups into a space rectangular coordinate system, and connecting the function groups into a plane to obtain a curved surface group;
step S10: and calculating the environment evaluation value of a certain site, corresponding to a corresponding curve group in the curve group drawn in the step S9, and solving a corresponding allowable shield propelling distance in the corresponding curve group according to the reliability requirement of the actual engineering cutter system.
Further, in step S1, the shield propulsion environment evaluation value S is calculated by using the following formula;
S=0.8Sr+0.2Sp (8)
wherein: sr is an estimated formation abrasive environment value, SpAnd evaluating the quality environment of the shield driver.
Further, the formation abrasiveness environment evaluation value SrBy rock abrasiveness index RAITo determine, the rock abrasiveness index RAI is calculated as follows:
Figure BDA0001764700230000051
wherein: UCS is rock unconfined uniaxial compressive strength AiFor a specific mineral content, SiIs the rochwal abrasive hardness of the mineral.
Furthermore, in the discussion of the formation hardness in step S1, a study interval shield may be encountered to span multiple formations with different hardnesses, and in this case, the hardness of each penetrated formation is individually scored, and then the scores of the formations are weighted and summed according to the length of each penetrated formation, so as to calculate a comprehensive score of the formation abrasiveness;
further, in step S4, the wear amount of the tool system is determined by counting a plurality of times as follows: firstly, determining the wear value of each cutter on a cutter head after cutter changing in the last measurement, and then obtaining the cutter wear amount caused by shield excavation between the two measurements by making a difference according to the wear value of each cutter obtained in the current measurement.
Compared with the prior art, the invention has the technical advantages that:
advantage (1): the reliability theory is adopted to research the abrasion of the cutter, and the probability statistical model taking the reliability theory as a support is utilized to comprehensively consider the abrasion condition of the whole cutter, so that the prediction result is more comprehensive and reliable.
Advantage (2): the cutter head is subjected to radial partitioning, cutters with different cutting mileage are subjected to classification research, and the phenomenon that a reliability function curve is excessively distorted due to confusion research of 'different types of abrasion' is avoided.
Advantage (3): the environment factors of the propelling of the shield cutter head are considered in the process of researching the abrasion of the cutter, so that the research result has universality and practicability.
Advantage (4): in the application process of the method, a collection and accumulation process of tool wear conditions of different engineering sites exists, and finally, a reference curved surface group providing reference for the prediction of the active tool changing distance of various engineering in different environments can be drawn.
Advantage (5): compared with the prior art, the method can consider the wear history of the cutter in the process of predicting the propelling distance, can consider the wear condition of the cutter head cutter before the shield starts propelling, calculates the reliability of the cutter head cutter before propelling, and solves the corresponding propelling distance on the corresponding reliability curve.
Advantage (6): the allowable propelling distance of each interval can be dynamically predicted according to the initial wear state of the shield cutterhead in different intervals and the change of the corresponding propelling environment, and the updating and the adjustment of the allowable propelling distance of different intervals are realized.
In conclusion, the shield propulsion distance prediction method aiming at controlling the abrasion of the shield cutter head cutter provided by the invention has a clear and reliable implementation process, and due to the reliability of the selection of the research model, the authenticity of the research means and the completeness of the consideration of the influence factors, the method has the advantages of quantitative, clear, simple and practical flow, low cost and strong usability.
Drawings
FIG. 1 is a sectioned schematic view of a shield cutter system;
FIG. 2 is a graph showing the function of the reliability of each section of the cutter head with the variation of the advancing distance under a certain environmental evaluation value;
FIG. 3 is a diagram illustrating the reliability of each partition derived from the advance distance according to a known engineering environment evaluation value.
Detailed Description
The present invention will be further described with reference to specific embodiments.
Referring to fig. 1 to 3, a method for predicting shield thrust distance based on shield cutter head cutter partition cutting performance includes the following steps:
step (1): various environmental factors of shield propulsion are discussed first, including: the two indexes of stratum abrasiveness and human factors are scored, weights are respectively distributed according to the indexes to the size of the influence of the cutter abrasion, the scores are accumulated, and finally an environment evaluation value S considering the environment factors of shield propulsion is calculated, which is detailed below:
a. abrasiveness of formation
The abrasiveness of the stratum to the cutterhead is characterized by using a Rock Abrasiveness Index (RAI) proposed by pliniger in 2002, the index considers two factors of unconfined Uniaxial Compressive Strength (UCS) and Equivalent Quartz Content (EQC) of the stratum rock mass, and the index is calculated by adopting a formula (1):
Figure BDA0001764700230000061
wherein: UCS is rock unconfined uniaxial compressive strength (MPa), AiFor a specific mineral content (%), SiRocheval grinding hardness as mineral (see table 1, rocheval grinding hardness is relative value with quartz as 100);
determining an environmental assessment S under the influence of formation abrasiveness conditions from a rock abrasiveness index RAIrSee table 2.
TABLE 1S of several basic mineralsiValue comparison table
Figure BDA0001764700230000071
TABLE 2 abrasion index grading chart for different rocks of stratum
Figure BDA0001764700230000072
b. Human factor
The professional quality of a shield driver as an operator of the shield has great influence on the abrasion of the cutter head, and the working age of the shield driver can represent the proficiency of the shield driver in operating the shield to a certain extent (reasonable setting of propulsion parameters, selection of muck improvement parameters, emergency of emergency and the like). The quality of the shield driver can be divided into several categories shown in Table 3 according to the working age of the shield, and the corresponding environmental score SpAre listed in the table;
TABLE 3 Shield driver quality environment scoring table
Figure BDA0001764700230000081
Based on the two main environmental factors affecting the wear of the shield cutter system, the weight ratio of the influence of the environmental indexes on the cutter wear is considered as the formation abrasiveness: if the human factor is 8:2, calculating the final shield propulsion environment evaluation value S by adopting a formula (4);
S=0.8Sr+0.2Sp (2)
description of the drawings: the environmental evaluation value S ∈ [0,5], wherein a higher score indicates a more serious influence of the environmental factor on the wear.
Step (2): and counting the cutter abrasion loss of the shield cutter in different propulsion mileage for at least 5 times aiming at a certain specific environment evaluation value S condition. Considering the distribution of the wear loss of the cutter system counted each time to be in accordance with normal distribution, wherein a density function is shown in a formula (3); considering that the tool failure distribution accords with Weibull distribution for each statistical tool system failure condition, wherein the density function of the tool failure distribution is shown in a formula (4);
Figure BDA0001764700230000082
wherein: j denotes different zones of the cutter head, i denotes different tools in the same zone, zijFor the amount of wear, mu, of a tool in a zone at a certain advance distancejIs the average value, σ, of the tool wear at a particular cutter head region at that distancejVariance of tool wear in the region;
Figure BDA0001764700230000083
wherein: x is the propelling distance of the shield, and beta and lambda are two characteristic parameters;
and (3): because the cutting mileage of the cutters on the same radial distance of the cutter head is the same, the cutter head is divided into 5 concentric circle zones from inside to outside according to the radial direction. Because the structure of the cutter head full-section cutting needs, cutters on the cutter head are not arranged according to strict concentric circles, but are arranged in an Archimedes spiral manner, the arrangement positions of the cutters on the cutter head are finely adjusted when the cutter head is partitioned, and the cutters with similar radial distances are ensured to fall into the same concentric circle region, as shown in figure 1;
and (4): researching a certain concentric circle partition on a cutter head, taking the wear data of the cutter head under the advancing distance between certain two times of tool wear statistics, calculating the average value of the wear of each tool in the partition, and calculating the variance of the wear, wherein the average value is shown in formula (5) and the variance is shown in formula (6);
Figure BDA0001764700230000091
Figure BDA0001764700230000092
wherein:
Figure BDA0001764700230000093
is the variance of the amount of tool wear in this region,
Figure BDA0001764700230000094
is the average value of the wear of the tool in this region, zijThe abrasion loss of a certain cutter in the area, and m is the number of cutters in the area;
and (5): selecting a cutter failure threshold value d (generally d is 20mm) according to related engineering experience, substituting calculation results of the formula (5) and the formula (6) into the formula (3), and calculating the reliability R of the shield cutter head in each propelling distance of a research region selected by the shield cutter head by using the formula (7);
Figure BDA0001764700230000095
and (6): solving the reliability R under each propelling distance x in the research area according to the step (5), and solving the reliability of the cutter to calculate the characteristic parameters lambda and beta in the formula (8);
Figure BDA0001764700230000096
and (7): because the formula (8) is a bi-exponential function, in order to solve the characteristic parameters lambda and beta, the formula (8) is subjected to twice natural logarithms to obtain a formula (9), and a variable and parameter substitution method is adopted to convert the formula (8) into a linear function;
ln(-ln(R))=βlnx-βlnλ (9)
let yi=ln(-ln(R)),xiLnx, a ═ β, b ═ β ln λ, then equation (9) transforms to equation (10):
yi=axi+b (i=1,2,3,4,5) (10)
using least square method to replace variable xi、yiPerforming scatter point fitting (at least 5 times of tool wear is measured, so that at least 5 points are obtained in total), such as formula (11) and formula (12);
Figure BDA0001764700230000101
Figure BDA0001764700230000102
wherein: i are the different tools in the study zone, xi、yiThe transformation variables of different propulsion mileage through linear transformation, a and b are undetermined parameters of the transformed linear function,
Figure BDA0001764700230000103
Figure BDA0001764700230000104
is xi、yiCorresponding to the average value of each propulsion mileage; then the value of β is equal to a,
Figure BDA0001764700230000105
calculating a formula (8) for the complete cutting performance reliability of the cutter system;
and (8): repeating the steps (2) to (7) to calculate the cutting performance reliability calculation formulas of the cutter systems in other subareas of the cutter head in the same way, wherein the cutter head is provided with 5 subareas, so that 5 reliability calculation formulas can be finally obtained, such as a formula (13);
Figure BDA0001764700230000106
and (9): using shield propulsion mileage x as x axis and cutter reliability R of each subarea of cutter headjDrawing a plane rectangular coordinate system for the y axis, drawing a formula (13) into a space rectangular coordinate system to obtain a cutting performance reliability function image of the cutter system under the environment evaluation value, and respectively obtaining cutting performance reliability function curves of the cutter system in 5 cutter head partitions, as shown in an attached figure 2;
and (10) collecting tool wear data of different construction site sites, carrying out environment assessment on each site, solving tool wear reliability function groups under various environment assessment values according to the steps (1) to (9), and taking the propelling distance of the shield, the reliability of a tool system and the environment assessment value of the propelling of the shield as three axes of a space rectangular coordinate system. And drawing the obtained multiple function groups into a space coordinate system, and smoothly connecting function curves of the same cutter head partition in the space rectangular coordinate system under different environment evaluation values into curved surfaces to obtain a curved surface group containing 5 three-dimensional curved surfaces, wherein the curved surface group is a reference curved surface group with the cutter reliability varying with the propelling distance under different environment evaluation values.
Step (11) can calculate the environment evaluation value S for a specific project, correspondingly find out the tool system wear reliability function curve group under the environment evaluation value in the three-dimensional space coordinate system in step (10), set the tool system wear reliability value of each partition on the cutter head according to the actual needs of the project, and find out the corresponding propulsion distance in the coordinate system by integrating the tool system wear reliability values of 5 curves, namely the maximum shield propulsion distance value considering the tool system reliability, namely the recommended tool changing distance calculated according to the method.
The calculation steps of the shield propelling distance prediction method based on the shield cutter head cutter partition cutting performance need to be explained as follows:
description (1): in the discussion of the formation hardness in the step (1), the research interval shield possibly spans a plurality of formations with different hardnesses, and in the face of the situation, the hardness of each crossed formation is scored independently, then the scores of the formations are weighted and summed according to the length of each crossed formation, and the comprehensive score of the formation abrasiveness is calculated;
description (2): for multiple times of statistics of the wear loss of the cutter system in the step (2), the wear loss is determined as follows: firstly, determining the wear value of each cutter on a cutter head after cutter changing in the last measurement, and then obtaining the cutter wear amount (i.e. degeneration amount, which is in accordance with normal distribution) caused by shield excavation between the two measurements by making a difference according to the wear value of each cutter obtained in the current measurement. For example: the cutter abrasion loss of the No. 27 cutter on a certain cutter head is 9mm when the cabin is opened for the first time, the abrasion loss of the No. 27 cutter is 15mm when the cabin is opened for the second time, and the cutter abrasion loss in the research interval is 6 mm;
compared with the prior art, the shield propulsion distance prediction method based on the shield cutterhead cutter partition cutting performance has the technical advantages that:
advantage (1): the reliability theory is adopted to research the abrasion of the cutter, and the probability statistical model taking the reliability theory as a support is utilized to comprehensively consider the abrasion condition of the whole cutter, so that the prediction result is more comprehensive and reliable.
Advantage (2): the cutter head is subjected to radial partitioning, cutters with different cutting mileage are subjected to classification research, and the phenomenon that a reliability function curve is excessively distorted due to confusion research of 'different types of abrasion' is avoided.
Advantage (3): the environment factors of the propelling of the shield cutter head are considered in the process of researching the abrasion of the cutter, so that the research result has universality and practicability.
Advantage (4): in the application process of the method, a collection and accumulation process of tool wear conditions of different engineering sites exists, and finally, a reference curved surface group providing reference for the prediction of the active tool changing distance of various engineering in different environments can be drawn.
Advantage (5): compared with the prior art, the method can consider the wear history of the cutter in the process of predicting the propelling distance, can consider the wear condition of the cutter head cutter before the shield starts propelling, calculate the reliability of the cutter head cutter before the shield starts propelling, and solve the corresponding propelling distance on the corresponding reliability curve, namely predict the propelling distance under the reliability of a certain cutter according to the formula (15):
l=l′-l″ (15)
wherein: l is a predicted advancing distance considering the tool wear history, l 'is an advancing distance corresponding to the tool reliability in the initial state, and l' is an advancing distance corresponding to a certain reliability of the tool in the advancing process;
advantage (6): the allowable propelling distance of each interval can be dynamically predicted according to the initial wear state of the shield cutterhead in different intervals and the change of the corresponding propelling environment, and the updating and the adjustment of the allowable propelling distance of different intervals are realized.
In conclusion, the shield propulsion distance prediction method aiming at controlling the abrasion of the shield cutter head cutter provided by the invention has a clear and reliable implementation process, and due to the reliability of the selection of the research model, the authenticity of the research means and the completeness of the consideration of the influence factors, the method has the advantages of quantitative, clear, simple and practical flow, low cost and strong usability.
The above examples are merely illustrative for clearly illustrating the present invention and are not intended to limit the embodiments. Other variations and modifications will be apparent to persons skilled in the art in light of the above description. Nor is it intended to be exhaustive of all embodiments. And obvious variations or modifications of the invention may be made without departing from the scope of the invention.

Claims (4)

1.一种基于盾构刀盘刀具分区切削性能的盾构推进距离预测方法,其特征在于,包括如下步骤:1. a shield driving distance prediction method based on shield cutter head cutter partition cutting performance, is characterized in that, comprises the steps: 步骤S1:对研究区间盾构推进的环境进行考量,确定环境评估值;Step S1: consider the environment of shield advancement in the study area, and determine the environmental assessment value; 步骤S2:统计该环境下盾构刀具在不同推进距离的刀具磨损量情况,每次统计的刀盘刀具磨损量分布和刀具失效分布分别符合正态分布和Weibull分布,计算公式如下所示;Step S2: Count the tool wear of the shield tool at different advancing distances in this environment. The tool wear distribution and tool failure distribution of the cutter head for each count are in line with the normal distribution and the Weibull distribution, respectively. The calculation formula is as follows;
Figure FDA0003351325230000011
Figure FDA0003351325230000011
其中:j表示刀盘的不同分区,i表示同一分区内不同的刀具,zij为某一推进距离下某分区某一刀具的磨损量,μj为该距离下特定刀盘区域上刀具磨损量的均值,σj为该距离下特定刀盘区域上刀具磨损量的方差;Among them: j represents different partitions of the cutter head, i represents different tools in the same partition, z ij is the wear amount of a tool in a certain partition under a certain advancing distance, μ j is the tool wear amount on a specific cutter head area under this distance The mean value of σ j is the variance of the tool wear amount on the specific cutter head area under this distance;
Figure FDA0003351325230000012
Figure FDA0003351325230000012
其中:x为盾构的推进距离,β、λ为两个特征参数;Among them: x is the propelling distance of the shield, and β and λ are two characteristic parameters; 步骤S3:对盾构刀盘按径向进行同心圆分区,并对刀具位置进行动态微调;Step S3: Concentric circle division is performed on the shield cutter head according to the radial direction, and the position of the cutter is dynamically fine-tuned; 步骤S4:研究刀盘上某一特定同心圆分区,统计该区域在某两次刀具磨损情况调查之间的磨损量,采用如下公式计算分区内各刀具磨损量的均值与方差;Step S4: study a certain concentric circle partition on the cutter head, count the wear amount of this region between two surveys of tool wear conditions, and use the following formula to calculate the mean value and variance of each tool wear amount in the partition;
Figure FDA0003351325230000013
Figure FDA0003351325230000013
Figure FDA0003351325230000014
Figure FDA0003351325230000014
其中:
Figure FDA0003351325230000021
为该区域内刀具磨损量的方差,
Figure FDA0003351325230000022
为该区域内刀具磨损量的均值,zij为该区域内某一刀具的磨损量,m为该区域内的刀具数量;
in:
Figure FDA0003351325230000021
is the variance of tool wear in this area,
Figure FDA0003351325230000022
is the average value of tool wear in this area, z ij is the wear amount of a certain tool in this area, m is the number of tools in this area;
步骤S5:参照相关工程经验选取刀具失效阈值d,在正态分布函数中计算盾构刀盘选取研究区域在不同推进距离下的可靠度R;Step S5: Select the tool failure threshold d with reference to the relevant engineering experience, and calculate the reliability R of the shield cutter head selection study area under different advancing distances in the normal distribution function;
Figure FDA0003351325230000023
Figure FDA0003351325230000023
其中:zij为某一推进距离下刀盘上某分区某一刀具的磨损量;Among them: z ij is the wear amount of a certain tool in a certain partition on the cutter head under a certain advancing distance; 步骤S6:根据步骤S5中计算得到不同推进距离下分区刀具系统切削性能可靠度值,可求解分区刀具可靠度随推进距离变化的计算公式;Step S6: According to the calculation in step S5, the reliability value of the cutting performance of the partitioned tool system under different advancing distances can be obtained, and the calculation formula of the variation of the reliability of the partitioned tool with the advancing distance can be solved;
Figure FDA0003351325230000024
Figure FDA0003351325230000024
其中:x为盾构的推进距离,λ、β为需要求解的刀具系统切削性能可靠度随推进距离变化公式中的两个特征参数;Among them: x is the advancing distance of the shield, λ and β are the two characteristic parameters in the formula of the cutting performance reliability of the tool system to be solved with the advancing distance; 步骤S7:求解刀盘其他分区刀具系统切削性能可靠度随推进距离的变化公式,最终得到表征某一环境下同一刀盘不同分区不同刀具可靠度变化的函数曲线组;Step S7: solving the variation formula of the cutting performance reliability of the cutter system in other partitions of the cutter head with the advancing distance, and finally obtaining a function curve group representing the variation of the reliability of different cutters in different divisions of the same cutter head under a certain environment;
Figure FDA0003351325230000025
Figure FDA0003351325230000025
其中:j表示刀盘上不同分区;Among them: j represents different partitions on the cutter head; 步骤S8:绘制考虑推进距离、分区刀具可靠度、环境评估值的空间直角坐标系,将刀盘各分区的可靠度函数曲线绘入坐标系;Step S8: drawing a space rectangular coordinate system considering the advancing distance, the reliability of the partition tool, and the environmental assessment value, and drawing the reliability function curve of each partition of the cutter head into the coordinate system; 步骤S9:收集不同工地现场刀具磨损数据并对每个现场进行环境评估,按步骤S1至步骤S8求解各类环境评估值下的刀具磨损可靠度函数组,将这一系列函数绘入空间直角坐标系,同类函数连接成面得到一曲面组;Step S9: Collect tool wear data on different construction sites and perform environmental assessment for each site, solve the tool wear reliability function group under various environmental assessment values according to steps S1 to S8, and draw this series of functions into the space rectangular coordinates system, similar functions are connected to form a surface to obtain a surface group; 步骤S10:针对某一现场计算其环境评估值,根据该评估值在步骤S9所绘制的曲面组中对应出相应曲线组,根据工程实际刀具系统可靠度需要即可在相应曲线组中求解相应容许的盾构推进距离。Step S10: Calculate its environmental evaluation value for a certain site, and according to the evaluation value, a corresponding curve group is corresponding to the curved surface group drawn in step S9, and the corresponding tolerance can be solved in the corresponding curve group according to the reliability of the actual tool system in the project. The shield advancing distance.
2.根据权利要求1所述的基于盾构刀盘刀具分区切削性能的盾构推进距离预测方法,其特征在于:步骤S1中盾构推进环境评估值S采用公式如下公式进行计算;2. the shield driving distance prediction method based on the partition cutting performance of shield cutter head cutter according to claim 1, is characterized in that: in step S1, the shield driving environment evaluation value S adopts formula to calculate by following formula; S=0.8Sr+0.2Sp S=0.8S r +0.2S p 其中:Sr为地层磨蚀性环境评估值,Sp为盾构司机素质环境评估值。Among them: S r is the evaluation value of the stratum abrasive environment, and Sp is the environmental evaluation value of the shield driver's quality. 3.根据权利要求2所述的基于盾构刀盘刀具分区切削性能的盾构推进距离预测方法,其特征在于:在步骤S1中对地层硬度的讨论中如果遇到研究区间盾构跨越多个不同硬度的地层情况,可采取先单独对各穿越地层硬度进行评分,然后再根据各穿越地层长度对各地层的评分进行加权求和,计算得到地层磨蚀性的综合评分。3. The shield driving distance prediction method based on the partition cutting performance of the shield cutter head according to claim 2, is characterized in that: in the discussion of formation hardness in step S1, if encountering a research interval, the shield spans a plurality of For strata with different hardness, the hardness of each traversing stratum can be scored separately, and then the scores of each stratum can be weighted and summed according to the length of each traversing stratum, and the comprehensive score of stratum abrasiveness can be calculated. 4.根据权利要求1所述的基于盾构刀盘刀具分区切削性能的盾构推进距离预测方法,其特征在于:步骤S2刀具系统磨损量的多次统计,磨损量作如下确定:首先确定上一次测量换刀后刀盘上各刀具的磨损值,再根据本次测量得到的各刀具磨损值,作差得到两次测量间由于盾构掘进而造成的刀具磨损量。4. the shield advancing distance prediction method based on shield cutter head cutter partition cutting performance according to claim 1, is characterized in that: step S2 is the multiple statistics of cutter system wear amount, and the wear amount is determined as follows: first determine the above The wear value of each tool on the cutter head after tool change is measured once, and then based on the wear value of each tool obtained by this measurement, the difference is obtained to obtain the amount of tool wear caused by shield tunneling between the two measurements.
CN201810922948.0A 2018-08-14 2018-08-14 A prediction method of shield advancing distance based on cutting performance of shield cutter head Expired - Fee Related CN109117556B (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN201810922948.0A CN109117556B (en) 2018-08-14 2018-08-14 A prediction method of shield advancing distance based on cutting performance of shield cutter head

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN201810922948.0A CN109117556B (en) 2018-08-14 2018-08-14 A prediction method of shield advancing distance based on cutting performance of shield cutter head

Publications (2)

Publication Number Publication Date
CN109117556A CN109117556A (en) 2019-01-01
CN109117556B true CN109117556B (en) 2022-02-11

Family

ID=64851816

Family Applications (1)

Application Number Title Priority Date Filing Date
CN201810922948.0A Expired - Fee Related CN109117556B (en) 2018-08-14 2018-08-14 A prediction method of shield advancing distance based on cutting performance of shield cutter head

Country Status (1)

Country Link
CN (1) CN109117556B (en)

Families Citing this family (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN111626623B (en) * 2020-05-29 2022-05-24 中铁二十局集团第五工程有限公司 Cutter changing control method for hob of shield machine in composite stratum
CN114608430B (en) * 2022-03-18 2024-01-19 中铁十四局集团大盾构工程有限公司 Real-time detection experiment table and system for cutter abrasion of shield tunneling machine based on Hall sensor
CN114780906B (en) * 2022-06-21 2022-09-06 北京城建集团有限责任公司 Shield tool changing distance measuring and calculating method
CN117113573B (en) * 2023-08-28 2024-04-05 南京工业大学 Shield cutterhead opening selection method based on engineering case text polarity analysis

Family Cites Families (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN102620692B (en) * 2012-03-29 2014-10-22 中建交通建设集团有限公司 Cutter abrasion detection device and method used in tunnel shield construction
JP6238432B2 (en) * 2013-07-22 2017-11-29 株式会社奥村組 Cutter board of shield machine and shield machine equipped with the same
CN107145634B (en) * 2017-04-09 2020-06-16 北京工业大学 A multi-state dynamic reliability evaluation method for shield cutter head and drive system
CN107180016B (en) * 2017-05-23 2018-08-24 南京工业大学 Hierarchical summation method for predicting hob abrasion loss by using abrasion specific loss index

Also Published As

Publication number Publication date
CN109117556A (en) 2019-01-01

Similar Documents

Publication Publication Date Title
CN109117556B (en) A prediction method of shield advancing distance based on cutting performance of shield cutter head
Obregon et al. Probabilistic approach for open pit bench slope stability analysis–A mine case study
Liu et al. Intelligent decision method for main control parameters of tunnel boring machine based on multi-objective optimization of excavation efficiency and cost
Mawdesley et al. Extending the Mathews stability graph for open–stope design
Khademi Hamidi et al. Application of fuzzy set theory to rock engineering classification systems: an illustration of the rock mass excavability index
Ghasemi et al. Predicting penetration rate of hard rock tunnel boring machine using fuzzy logic
CN107180016B (en) Hierarchical summation method for predicting hob abrasion loss by using abrasion specific loss index
CN106778010B (en) TBM cutter life prediction method based on data-driven support vector regression machine
Dormishi et al. Performance evaluation of gang saw using hybrid ANFIS-DE and hybrid ANFIS-PSO algorithms
Azimi et al. Prediction of the blastability designation of rock masses using fuzzy sets
Tripathy et al. Prediction of abrasiveness index of some Indian rocks using soft computing methods
Kulatilake et al. New prediction models for mean particle size in rock blast fragmentation
CN109063354B (en) Prediction method for partition cutting performance of shield cutter head cutter
CN110298107A (en) A kind of working face shock hazard evaluation method based on increment superposition
CN110378069A (en) Method for predicting accumulated mass loss rate of cutter of tunneling machine
Mohammadi et al. Use of fuzzy set theory for minimizing overbreak in underground blasting operations–A case study of Alborz Tunnel, Iran
Abdolreza et al. A new model to predict roadheader performance using rock mass properties
Ji et al. Modified Q-index for prediction of rock mass quality around a tunnel excavated with a tunnel boring machine (TBM)
Cheema Development of a rock mass boreability index for the performance of tunnel boring machines
Hu et al. TBM-cutter rock-breaking effect and mechanism considering different cutting sequences
CN116663903A (en) Drilling and blasting method construction risk evaluation method based on combined weighting-nonlinear FAHP
Maji et al. A new performance prediction model for rock TBMs
Adebayo et al. Improvement of drill bit-button performance and efficiency during drilling: an application of LSTM model to Nigeria Southwest Mines
Li et al. Analyzing the shear strength of jointed magmatic rock mass excavatability using the hybridization of metaheuristic model of ELM-SVM
Khosravi et al. Effects of joint orientation and spacing on the boreability of jointed rock mass using tunnel boring machines

Legal Events

Date Code Title Description
PB01 Publication
PB01 Publication
SE01 Entry into force of request for substantive examination
SE01 Entry into force of request for substantive examination
GR01 Patent grant
GR01 Patent grant
CF01 Termination of patent right due to non-payment of annual fee
CF01 Termination of patent right due to non-payment of annual fee

Granted publication date: 20220211