CN103870677B - Setting method for tunneling parameters of tunneling machine - Google Patents
Setting method for tunneling parameters of tunneling machine Download PDFInfo
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- CN103870677B CN103870677B CN201410045253.0A CN201410045253A CN103870677B CN 103870677 B CN103870677 B CN 103870677B CN 201410045253 A CN201410045253 A CN 201410045253A CN 103870677 B CN103870677 B CN 103870677B
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Abstract
The invention provides a setting method for tunneling parameters of a tunneling machine. The setting method comprises the following steps of predicting the tunneling efficiency of a subsequent section of tunneling by using an efficiency prediction model according to surrounding rock data; calculating tunneling parameters of a tunneling system according to a mathematic relation of the tunneling efficiency and the tunneling parameters. According to the setting method provided by the invention, the problem that the geological adaptability is poor due to the fact that the tunneling parameters are set only according to construction experience is solved, the parameter setting situation under different geological conditions can be better handled, and thus higher safety, higher reliability and higher efficiency for construction are ensured; the surrounding rock parameters having greater relevancy to the tunneling efficiency are selected as a prediction model for inputting, and thus the tunneling efficiency can be predicted more accurately. A partial least squares (PLS) is adopted for extracting components, so that the problem that the relevancy exists between input variables is solved, the input dimension for an ANFIS (Adaptive Network-Based Fuzzy Inference System) structure is reduced, the prediction precision is increased, the simulation velocity is accelerated and real-time setting of the tunneling parameters of the tunneling machine is facilitated.
Description
Technical field
The present invention relates to a kind of large-scale road heading machinery equips the method for technical field of construction and in particular to a kind of hard rock tunnels
The setting of the boring parameter of the drive system in machine work progress.
Background technology
Tunneling boring hard rock tunnel development machine（Tunnel Boring Machine, TBM）It is machinery, electronics, hydraulic pressure, laser
Etc. the large factory constructing tunnel operating system of technology integration, have that driving speed is fast, the construction period is short, working environment
Good, the advantages of little to eco-environmental impact, comprehensive benefit is high, be one of important method of domestic and international constructing tunnel.
In terms of drivage efficiency forecast model, two more models of domestic and international application are Colorade USA mining industry universities
The CSM forecast model proposing and the NTNU forecast model of Norwegian University of Science ＆ Technology's foundation.CSM model is tested with the linear incision of hobboing cutter
Based on, set up by multivariate regression analysis method, but the boundary condition of its Modeling Research rotation actual with TBM broken rock operating mode
Do not correspond, cause LOAD FOR result error very big；And NTNU model is set up by construction data, can be used to estimate specific
The driving speed of TBM, hob abrasion, development machine utilization rate etc. under geological conditions, but its LOAD FOR model scope of application is narrow.
Thus, above-mentioned model all can not effectively instruct the design of digging device.
In terms of TBM boring parameter regulation, current hard rock tunneling process depends on artificial experience and adjusts boring parameter,
In order to instruct practice of construction, geotechnical study institute of the Norway scholar obtaining ISRM's Life Achievement Award proposes
QTBMForecast model, this model passes through geological prospecting data estimation ideal driving speed, but does not account for support force, cutterhead rotating speed
And the boring parameter such as moment of torsion is it is impossible to for real-time adjustment boring parameter to mate geological state.So, setting for boring parameter
The research determining method is very necessary, and this will be helpful to improve the progress of construction, can preferably adapt to the change of geological environment simultaneously
Change.
Also there is many practical problems and need to solve in TBM at present, and related geological adaptability basic research needs to be pushed away further
Enter, boring parameter directiveness setting does not also have the solution that can form system.Therefore, for the setting of TBM boring parameter
The research of method is very necessary, and this will be helpful to improve the progress of construction, can better adapt to geology ring complicated and changeable simultaneously
The change in border.
Content of the invention
In view of boring parameter relies primarily on artificial experience in existing large-scale digging device work progress, the invention solves the problems that
Technical problem is a kind of drive system boring parameter sets method providing development machine.
The invention provides a kind of method of the boring parameter sets based on drivage efficiency prediction, according to country rock data, profit
Use EFFICIENCY PREDICTION model, can easily predict the drivage efficiency of rear one section of driving；According to drivage efficiency and boring parameter it
Between mathematical relationship, and then calculate the boring parameter of driving system, thus solving to rely on construction experience and setting boring parameter
Problem.
The present invention adopts driving speed（ROP）To represent the drivage efficiency of development machine.
The present invention provides the boring parameter sets method of development machine, comprises the following steps：
（1）According to Analysis of Field Geotechnical Parameters, predict drivage efficiency；
（2）According to the mathematical relationship between drivage efficiency and boring parameter, calculate the driving ginseng of the drive system of development machine
Number；
（3）By step（2）The boring parameter obtaining is set in the corresponding drive system of development machine in real time.
The present invention provides the boring parameter sets method of development machine, solves simple dependence construction experience and sets driving ginseng
Number, has that geological adaptability is poor, can solve the situation of the boring parameter sets in the case of different geology well, from
And ensure that construction is more safe and reliable and efficient.
Further, step（1）Middle Analysis of Field Geotechnical Parameters includes：Uniaxial compressive strength, Brazilian test tensile splitting strength, impact
The peak load of test head and the ratio of corresponding displacement, the average headway of weak structural face and tunnel axis and weak structure
Angle between face.
Select the Analysis of Field Geotechnical Parameters larger to drivage efficiency dependency to input as forecast model, can be more accurately predicted
Drivage efficiency, thus obtaining more accurate boring parameter, ensures that construction is more safe and reliable and efficient.
Further, step（1）Middle prediction drivage efficiency comprises the following steps：
（11）Using partial least squares algorithm PLS extract component；
（12）With step（11）Output as adaptive neuron fuzzy inference system ANFIS input, prediction driving
Efficiency.
Further, step（2）The drive system of middle development machine includes hydraulic propelling system and cutter-devices system.
Further, step（2）The boring parameter of the drive system of middle development machine includes：Each hydraulic pressure of hydraulic propelling system
The propelling pressure P of cylinderL, the fltting speed V of hydraulic propelling system, the Motor drive power H of cutter-devices systemTBMpAnd cutterhead
The cutter head torque T of drive systemcutter.
The boring parameter sets method of the development machine of the present invention, provides above-mentioned boring parameter, practice of construction is had stronger
Directive significance.
Further, the propelling pressure P of each hydraulic cylinder of hydraulic propelling systemLComputational methods be：
Wherein, n represents that hydraulic propelling system provides the number of the hydraulic cylinder of propulsive force, F2Represent shoulder bed effects in development machine
The frictional force of surface of shell, F3Represent frictional resistance produced by development machine own wt, C is constant constant, T represents hobboing cutter point
Width, R represents hobboing cutter radius, σcRepresent the uniaxial compressive strength of rock, σtRepresent the Brazilian test tensile splitting strength of rock, S
Represent cutting spacing,It is defined as
Wherein, P represent cutterhead rotate a circle after cutting depth.
Further, the computational methods of hydraulic propelling system fltting speed V are：
V=ROP U 24/1.44,
Wherein, ROP represents driving speed, and U represents development machine utilization rate.
Further, the cutter head torque T of cutter-devices systemcutterComputational methods be：
Wherein, N represents hobboing cutter number, and C is constant constant, and T represents hobboing cutter point width, and R represents hobboing cutter radius, σcRepresent rock
The uniaxial compressive strength of stone, σtRepresent the Brazilian test tensile splitting strength of rock, S represents cutting spacing, DTBMRepresent that cutterhead is straight
Footpath,It is defined as
Wherein, P represent cutterhead rotate a circle after cutting depth.
Further, the Motor drive power H of cutter-devices systemTBMpComputational methods be：
Wherein, m represents the number of induction conductivity, and ψ represents mechanical transfer efficiency, and K represents moment of torsion select unit and power
The conversion coefficient of unit, N represents hobboing cutter number, and C is constant constant, and T represents hobboing cutter point width, and R represents hobboing cutter radius, σcRepresent
The uniaxial compressive strength of rock, σtRepresent the Brazilian test tensile splitting strength of rock, S represents cutting spacing, DTBMRepresent cutterhead
Diameter, RPM table shows cutterhead rotary speed,It is defined as
Wherein, P represent cutterhead rotate a circle after cutting depth.
Further,Computational methods be：
Wherein, ROP represents driving speed, DTBMRepresent cutter diameter, VlimitRepresent hobboing cutter linear velocity limit, its with select
Cutter diameter have close relationship.
Compared with prior art, the present invention provides the boring parameter sets method of development machine to have the advantages that：
（1）According to Analysis of Field Geotechnical Parameters, predict drivage efficiency；Further according to the mathematical relationship between drivage efficiency and boring parameter,
Calculate the boring parameter of the drive system of development machine；Solve simple dependence construction experience and set boring parameter, there is geology
The problem of bad adaptability, can solve the situation of the boring parameter sets in the case of different geology, well thus ensureing construction
More safe and reliable and efficient；
（2）The Analysis of Field Geotechnical Parameters larger to drivage efficiency dependency is selected to input as forecast model, can be more accurately
Prediction drivage efficiency, thus obtaining more accurate boring parameter, ensures that construction is more safe and reliable and efficient；
（3）Using partial least squares algorithm PLS extract component, solve the relativity problem existing between input variable,
Reduce ANFIS structure input dimension, improve precision of prediction, accelerate simulation velocity, be conducive to being set in real time development machine
Boring parameter.
Technique effect below with reference to design, concrete structure and generation to the present invention for the accompanying drawing is described further, with
It is fully understood from the purpose of the present invention, feature and effect.
Brief description
Fig. 1 is tunneler construction schematic diagram；
Fig. 2 is the adaptive neuron fuzzy inference system structured flowchart in one embodiment of the present of invention；
Fig. 3 is partial least squares algorithm PLS and adaptive neuron fuzzy reasoning system in one embodiment of the present of invention
System forecast model structure chart；
Fig. 4 is the block diagram of one embodiment of the present of invention.
Specific embodiment
Physical quantity represented by the symbol occurring in accompanying drawing and part formula and symbol is as shown in table 1：
Table 1
| Symbol | Physical quantity |
| Fdisc | Act on list the total power on hobboing cutter |
| C | Constant constant |
| T | Hobboing cutter point width |
| R | Hobboing cutter radius |
| σt | The Brazilian test tensile splitting strength of rock（BTS） |
| σc | The uniaxial compressive strength of rock（UCS） |
| S | Cutting spacing |
| P | Cutterhead rotate a circle after cutting depth |
| Fthrust | Development machine frontal drag |
| F2 | Shoulder bed effects are in the frictional force of surface of shell |
| F3 | Frictional resistance produced by development machine own wt |
| f | Coefficient of friction |
| ρ | Rock density |
| D | Development machine external diameter |
| H | Ground is to the vertical dimension of development machine central axis |
| L | The length of development machine |
| Ka | Active coefficient of earth pressure |
| munite | Development machine linear mass |
| N | Hobboing cutter number |
| Fi | The maximum load capacity of every hobboing cutter |
| RPM | Cutterhead rotary speed |
| ROP | Driving speed |
| DTBM | Cutter diameter |
| FR | List is hobboing cutter rolling force |
| K | Moment of torsion select unit and the conversion coefficient of power cell |
| ψ | Mechanical transfer efficiency |
The present invention provides the boring parameter sets method of development machine, as shown in figure 4, comprising the following steps：
（1）According to Analysis of Field Geotechnical Parameters, predict drivage efficiency, as shown in Figure 3；
（2）According to the mathematical relationship between drivage efficiency and boring parameter, calculate the driving ginseng of the drive system of development machine
Number；
（3）By step（2）The boring parameter obtaining is set in the corresponding drive system of development machine in real time.
The present invention provides the boring parameter sets method of development machine, solves simple dependence construction experience and sets driving ginseng
Number, has that geological adaptability is poor, can solve the situation of the boring parameter sets in the case of different geology well, from
And ensure that construction is more safe and reliable and efficient.
Drivage efficiency forecast model：
The Analysis of Field Geotechnical Parameters selecting the prediction of development machine driving speed to need first, splits including uniaxial compressive strength, Brazilian test
Split tensile strength, the peak load of impact test pressure head and the ratio of corresponding displacement, the average headway of weak structural face and tunnel
Angle between road axis and weak structural face, carries out country rock data processing to Analysis of Field Geotechnical Parameters, that is, do normalized, input
Data matrix after normalized for parameter X is designated as E0=[x1, x2..., xp]M×p, parameter Y of output is through normalized
Data matrix afterwards is designated as F0=[y1, y2..., yq]M×q.Wherein, M represents the group number of |input paramete or output parameter, and p represents
The number of each group of |input paramete, q represents the number of each group of output parameter.
Note t1It is data matrix E0The 1st composition, ω1It is data matrix E0First axle, i.e. matrix
The characteristic vector corresponding to eigenvalue of maximum, and ω1It is a unit vector, that is,：||ω1| |=1, specific constituents extraction
Formula is as follows：
Seek matrixCharacteristic vector ω corresponding to eigenvalue of maximum1, and then try to achieve its composition t1.
t1=E0ω1(1)
Solve successively according to above method（I=1,2 ..., n）Characteristic vector ωi, and then can determine
Go out n composition t1, t2, t3..., tn, using predictive model algorithm, forecast model can be obtained.
In a preferred embodiment of the invention forecast model is obtained using partial least squares algorithm PLS.
As shown in figure 3, for Analysis of Field Geotechnical Parameters, using partial least squares algorithm PLS, setting up composition extraction model, 5 are inputted
Become 4 inputs, the data component of extraction is trained by ANFIS structure again, obtain preferable EFFICIENCY PREDICTION model.
Being mainly characterized in that of partial least squares algorithm：
1st, it is applied to the sample that characteristic variable is many, number of samples is few；
2nd, extract the composition strong on dependent variable impact；
3rd, overcome the relativity problem existing between input variable；
4th, reduce ANFIS structure input dimension；
5th, improve precision of prediction, accelerate simulation velocity.
PLS equation does not typically select whole composition t1, t2, t3..., tnCarry out regression modeling, but
By the way of truncation, that is, using front m composition (m ＜ A, A=rand (X)), only be can be obtained by preferably with this m composition
Forecast model.
Data due to prediction is limited, using PLS, using its dimensionality reduction characteristic, improves predetermined speed and precision, and
Overcome the relativity problem existing between input variable.
ANFIS is certain moduli paste neural network structure, and it has fast convergence rate, needs sample few and have to appoint
Meaning precision approaches arbitrarily non-linear and linear function function.
Consider the system of multiple input single output, that is,：|input paramete X1, X2..., Xm, output parameter Y.
The structure of the adaptive neuron fuzzy inference system adopting in the present embodiment is as shown in Fig. 2 include five layers：
Ground floor：This layer is by |input paramete obfuscation, and each node represents membership function, this membership function
Using Gaussian function form, expression formula is as follows：
Wherein, cij, σjIt is referred to as premise variable element.cijRepresent xiJ-th Gaussian function center, σjIt is xiJth
The width of individual Gaussian function；
The second layer：For calculating the relevance grade of every rule, expression formula is as follows：
ωi=Π μij(xj) (5)
Third layer：Every rule relevance grade is normalized：
4th layer：In this layer, the transmission function of each node is linear function, and every rule is output as：
Wherein, { ai0,ai1,…,aimIt is referred to as result parameter collection；
Layer 5：This layer is output layer, and in this layer, each node represents an output variable respectively：
The ANFIS structure being described below has n fuzzy rule：
I-th rule：Ri：if x1is A1iand x2is A2iand … and xmis Amithen fi(x)=
a fi(x)=ai0+ai1x1+ai2x2+…+aimxm, i=1,2 ..., n
It is to utilize hybrid algorithm in ANFIS model：Least square method and backstepping learning algorithm, to determine premise variable element
WithResult parameter collection.
So, constituents extraction is carried out by PLS algorithm, using PLS model output as ANFIS model input, entirely
The output of PLS-ANFIS model is drivage efficiency.
Drivage efficiency and the relation of boring parameter
Another core content of the present invention is exactly the relational model setting up drivage efficiency and boring parameter, below will be to this
The detailed derivation of individual model is introduced：
Fig. 1 is tunneler construction schematic diagram；
The present invention uses driving speed（ROP）Represent the drivage efficiency of development machine, the present invention have studied driving speed and liquid
Cylinder pressure thrust, fltting speed and the isoparametric relation of cutter head torque, based on equation below：
Wherein, FdiscRepresent the total power acting on hobboing cutter, C is constant constant, take 2.12, T to be hobboing cutter point width, R is
Hobboing cutter radius, σtIt is the Brazilian test tensile splitting strength of rock（BTS）, σcIt is the uniaxial compressive strength of rock（UCS）, S is to cut
Cut spacing,It is defined as follows：
Wherein, P represent cutterhead rotate a circle after cutting depth.Two above formula will subsequent analysis driving speed,
Play a role in the relation of thrust and moment of torsion.
Hydraulic propelling system provides thrust forward to cutterhead it is assumed that the number of hydraulic cylinder is n, and each hydraulic cylinder provides
Load thrust be Fh, in the slow tunneling process of development machine, whole system is approximately stable state, then hydraulic propelling system is total
Load thrust is expressed as：
Fthrust+F2+F3=n Fh(11)
Total load thrust mainly includes：Development machine frontal drag Fthrust, shoulder bed effects rub in development machine surface of shell
Wiping power F2, and frictional resistance F produced by development machine own wt3, wherein, F2、F3Calculated by below equation：
F3=fLmuniteg (13)
The thrust calculating every hobboing cutter further is：
Wherein N is hobboing cutter number.
So development machine frontal drag can be expressed as：
According to the mechanical balance equation of hydraulic cylinder, hydraulic cylinder propelling pressure P can be obtained furtherLWithRelation：
Wherein, A advances effective area for hydraulic cylinder piston（In progradation, hydraulic cylinder flow flows into side）.
Variable P represent cutterhead rotate a circle after cutting depth, its computing formula is as follows：
By the prediction of this model, the ROP value in a following segment distance can be obtained：
So obtain following result：
So equation below of can deriving in sum：
It can be seen that driving speed meansigma methodss ROP in following a period of time are obtained by PLS-ANFIS model prediction, by
In BvThis is smaller for V, can indirectly determine the actual propulsion pressure of each hydraulic cylinder of hydraulic propelling system by above formula
Power PL, that is,：
Below practice of construction driving pile penetration AR computing formula：
AR=ROP·U·24 (22)
Wherein, U represents development machine utilization rate；
So average fltting speed V（mm/min）With AR（m/day）Between relation as follows：
AR=V 1.44=ROP U 24 (23)
In from the equations above, the average propulsion speed that hydraulic cylinder in a period of time needs can be released according to the ROP of prediction
Degree V, that is,：
V=ROP·U·24/1.44 (24)
To sum up analysis is as can be seen that can release the propelling pressure P of hydraulic propelling system by predicting drivage efficiencyLAnd propulsion
Speed V.This result of study can provide necessary foundation for hydraulic propelling system parameter setting during practice of construction.
During development machine propulsion, the purpose that hobboing cutter rock cutting realizes broken rock driving is rotarily driven by cutterhead.
The impact setting to practice of construction efficiency of so cutter head torque and power is that ratio is larger, provides hobboing cutter institute in above-mentioned formula
The computational methods of stress, then hobboing cutter rolling force FRFor：
Cutter head torque is about：
Cutterhead power：
Wherein, K represents the conversion coefficient of moment of torsion select unit and power cell, and because mechanical transfer efficiency is ψ, its value is
0.9 about.The Motor drive of so every induction conductivity of TBM gives power：
Wherein, m is the number of induction conductivity.
To sum up analyze, motor-driven given power can indirectly be obtained by PLS-ANFIS forecast model and load is turned round
Square, this has stronger directive significance to practice of construction.
The present invention provides the boring parameter sets method of development machine, according to Analysis of Field Geotechnical Parameters, predicts drivage efficiency；Further according to pick
Enter the mathematical relationship between efficiency and boring parameter, calculate the boring parameter of the drive system of development machine；Solve simple dependence
Construction experience and set boring parameter, there is a problem of that geological adaptability is poor, in the case of different geology being solved well
The situation of boring parameter sets, thus ensure that construction is more safe and reliable and efficient；Select larger to drivage efficiency dependency
Analysis of Field Geotechnical Parameters inputs as forecast model, drivage efficiency can be more accurately predicted, thus obtain more accurately tunneling ginseng
Number, ensures that construction is more safe and reliable and efficient；Using partial least squares algorithm PLS extract component, solve input variable it
Between exist relativity problem, reduce ANFIS structure input dimension, improve precision of prediction, accelerate simulation velocity, favorably
In the boring parameter being set in development machine in real time.
The preferred embodiment of the present invention described in detail above.It should be appreciated that those of ordinary skill in the art is no
Need creative work just can make many modifications and variations according to the design of the present invention.Therefore, the technology of all the art
It is available that personnel pass through logical analysis, reasoning, or a limited experiment under this invention's idea on the basis of existing technology
Technical scheme, all should be in the protection domain being defined in the patent claims.
Claims (9)
1. a kind of boring parameter sets method of development machine is it is characterised in that the method comprising the steps of：
(1) according to Analysis of Field Geotechnical Parameters, predict drivage efficiency；
(2) according to the mathematical relationship between described drivage efficiency and boring parameter, calculate the pick of the drive system of described development machine
Enter parameter；
(3) boring parameter obtaining described step (2) is set in the corresponding drive system of described development machine in real time；
Described in step (1), Analysis of Field Geotechnical Parameters includes：Uniaxial compressive strength, Brazilian test tensile splitting strength, impact test pressure head
Peak load between the ratio of corresponding displacement, the average headway of weak structural face and tunnel axis and weak structural face
Angle；
Described in step (2), drivage efficiency driving speed represents, the mathematical relationship between described drivage efficiency and boring parameter
As follows：
Wherein, FdiscRepresent the total power acting on hobboing cutter, C is constant constant, take 2.12, T to be hobboing cutter point width, R is hobboing cutter half
Footpath, σtIt is the Brazilian test tensile splitting strength (BTS) of rock, σcIt is the uniaxial compressive strength (UCS) of rock, S is between cutting
Away from,It is defined as follows：
Wherein, P represent cutterhead rotate a circle after cutting depth.
2. the boring parameter sets method of development machine as claimed in claim 1 is it is characterised in that predict driving effect in step (1)
Rate comprises the following steps：
(11) adopt partial least squares algorithm extract component；
(12) using the output of step (11) as the input of adaptive neuron fuzzy inference system ANFIS, predict drivage efficiency.
3. the boring parameter sets method of development machine as claimed in claim 1 is it is characterised in that development machine described in step (2)
Drive system include hydraulic propelling system and cutter-devices system.
4. the boring parameter sets method of development machine as claimed in claim 3 is it is characterised in that development machine described in step (2)
The boring parameter of drive system include：The propelling pressure P of described each hydraulic cylinder of hydraulic propelling systemL, described hydraulic drive
The fltting speed V of system, the Motor drive power H of described cutter-devices systemTBMpAnd the cutterhead of described cutter-devices system
Torque Tcutter.
5. development machine as claimed in claim 4 boring parameter sets method it is characterised in that described hydraulic propelling system each
The propelling pressure P of hydraulic cylinderLComputational methods be：
Wherein, A advances effective area for hydraulic cylinder piston, and n represents that hydraulic propelling system provides the number of the hydraulic cylinder of propulsive force,
F2Represent shoulder bed effects in the frictional force of development machine surface of shell, F3Represent frictional resistance produced by development machine own wt, C
For constant constant, T represents hobboing cutter point width, and R represents hobboing cutter radius, σcRepresent the uniaxial compressive strength of rock, σtRepresent rock
Brazilian test tensile splitting strength, S represents cutting spacing,It is defined as
Wherein, P represent cutterhead rotate a circle after cutting depth.
6. the boring parameter sets method of development machine as claimed in claim 4 is it is characterised in that described hydraulic propelling system advances
The computational methods of speed V are：
V=ROP U 24/1.44,
Wherein, ROP represents driving speed, and U represents development machine utilization rate.
7. the boring parameter sets method of development machine as claimed in claim 4 is it is characterised in that the knife of described cutter-devices system
Disk torque TcutterComputational methods be：
Wherein, N represents hobboing cutter number, and C is constant constant, and T represents hobboing cutter point width, and R represents hobboing cutter radius, σcRepresent rock
Uniaxial compressive strength, σtRepresent the Brazilian test tensile splitting strength of rock, S represents cutting spacing, DTBMRepresent cutter diameter,
It is defined as
Wherein, P represent cutterhead rotate a circle after cutting depth.
8. the boring parameter sets method of development machine as claimed in claim 4 is it is characterised in that the electricity of described cutter-devices system
Motor driving power HTBMpComputational methods be：
Wherein, m represents the number of induction conductivity, and ψ represents mechanical transfer efficiency, and K represents moment of torsion select unit and power cell
Conversion coefficient, N represents hobboing cutter number, and C is constant constant, and T represents hobboing cutter point width, and R represents hobboing cutter radius, σcRepresent rock
Uniaxial compressive strength, σtRepresent Brasilia intensity of rock, S represents cutting spacing, DTBMRepresent cutter diameter, RPM table shows
Cutterhead rotary speed,It is defined as
Wherein, P represent cutterhead rotate a circle after cutting depth.
9. as described in any one of claim 5,7 or 8 development machine boring parameter sets method it is characterised in thatCalculating side
Method is：
Wherein, ROP represents driving speed, DTBMRepresent cutter diameter, VlimitRepresent that hobboing cutter linear velocity limits.
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