CN105260513A - Judging method of boring state of hard rock TMB - Google Patents
Judging method of boring state of hard rock TMB Download PDFInfo
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- CN105260513A CN105260513A CN201510613867.9A CN201510613867A CN105260513A CN 105260513 A CN105260513 A CN 105260513A CN 201510613867 A CN201510613867 A CN 201510613867A CN 105260513 A CN105260513 A CN 105260513A
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Abstract
The invention relates to a judging method of the boring state of a hard rock TMB (Tunnel Boring Machine). The method comprises the following steps of calculating the ideal boring specific energy of the hard rock TBM; combining boring data collected on site to calculate the actual boring specific energy of the hard rock TBM; using the ideal boring specific energy and the actual boring specific energy to calculate the specific energy deviation rate e; and judging the actual boring state of the hard rock TBM according to the specific energy deviation rate e. The judging method has the advantages that by starting from the hobbing cutter rock body cutting mechanical analysis, the mutual relationship between the boring specific energy and the cutting depth is determined; a novel method for calculating the optimum boring specific energy of the hard rock TBM is provided; on the basis of an optimum specific energy calculation formula, the judging method of the boring state of the hard rock TBM is provided; and more scientific reference basis is provided for improving the boring efficiency, matching the boring parameters and improving the cutter stress state.
Description
Technical field
The invention belongs to shield structure TBM mechanical execution technical field, be specifically related to a kind of based on the determination methods of hard rock tunnel development machine driving than the hard rock mole driving state of energy.
Background technology
Along with the fast development of China tunnel and underground engineering construction, efficient with it, quick, the safe construction characteristic of hard rock tunnel development machine (hereinafter referred to as TBM) becomes the state-of-the-art construction equipment in tunnel construction field.Meanwhile, constructing tunnel is again the engineering construction of a kind of high energy consumption, high cost.
According to statistics, hard rock TBM daily consumption electric energy more than one hundred million kilowatts, in conjunction with the various mechanical loss of equipment and tool wear consumption, hard rock TBM daily consumption energy cost reaches unit up to a million.The reasonable prediction of driving energy consumption becomes plan Tunnel Construction Schedule, saves the key link of construction cost.
In hard rock TBM work progress, driving, than being broken unit rock mass consumed energy, is not only the parameter directly weighing driving energy consumption, can also reflect the duty of the whether reasonable and cutter of boring parameter coupling.
But it is more complicated that the hard rock rock mass that more piece is managed makes hard rock TBM break rock mechanical process, and the best matched with Advance rate is tunneled energy consumption and is difficult to calculate, current technology and means not yet realize best driving rationally estimating than energy.
Therefore, propose a kind of best driving than can calculation relational expression, for improving hard rock TBM drivage efficiency, adjustment boring parameter, extending Hob for cutting rock serviceable life, is a difficult problem urgently to be resolved hurrily for hard rock tunnel construction and construction field.
Summary of the invention
The object of the invention is to solve above-mentioned technical matters and provide a kind of based on the determination methods of hard rock tunnel development machine driving than the hard rock mole driving state of energy, the method is started with from the mechanical analysis of hard rock hob rock break-off process, by compare hard rock TBM ideal driving than can with actual specific energy, judge that hard rock TBM tunnels state, for improving drivage efficiency, the stress of Proper Match boring parameter and the broken rock cutter of improvement provides foundation.
For achieving the above object, the present invention adopts following technical scheme:
A determination methods for hard rock mole driving state, comprises the following steps:
Calculate the ideal driving of hard rock TBM than energy;
In conjunction with the tunneling data of collection in worksite, calculate the actual driving of hard rock TBM than energy;
Utilize described desirable driving than tunneling than calculating than energy deviation ratio e with reality, the actual driving state of hard rock TBM can be judged by deviation ratio e according to described ratio.
The ideal driving of described hard rock TBM, than the calculating of energy, adopts following formula:
Wherein, E ' is for hard rock TBM ideal driving is than energy; N is hard rock TBM cutterhead hobboing cutter quantity;
for all hobboing cutters of hard rock TBM cutterhead on average install radius; R
tfor hard rock TBM cutter radius, a, c, k, b are constant, and p is cutting-in, and k, b constant passes through in the normal tunneling process of hard rock TBM, hobboing cutter thrust F
nand the relational expression F between cutting-in p
n=kp
1-b, utilize the inverting identification of experimental data to determine, a, c constant system is by the relational expression CC=ap between hobboing cutter cutting coefficient CC and cutting-in p
cand the tool point angle size of hobboing cutter is determined;
The actual driving of described hard rock TBM adopts following formula to carry out than calculating:
Wherein, E is that the actual driving of hard rock TBM is than energy; Th is hard rock TBM cutterhead thrust; Tor is hard rock TBM cutter head torque.
The described computing formula than energy deviation ratio e is as follows:
If described than 20% can be less than or equal to by deviation ratio e, then judge that hard rock TBM energy consumption is in values, be in normal driving state, otherwise be judged as that hard rock TBM energy consumption exceeds preset value.
During concrete judgement, if e≤20%, then can illustrate that hard rock TBM is in normal driving state, hard rock TBM tunnels energy consumption and is in the scope of desired value, shows that tool wear is not serious; If e > 20%, then illustrate that hard rock TBM energy consumption exceeds preset value, it is too much that hard rock TBM tunnels energy consumption, and tool wear is serious, should adjust the mutual relationship of cutter head torque and cutterhead thrust, to reduce hard rock TBM energy consumption.
The present invention is by calculating the ideal driving of hard rock TBM than energy; And then in conjunction with the tunneling data of collection in worksite, calculate the actual driving of hard rock TBM than energy; Utilize described ideal driving than tunneling than calculating than energy deviation ratio e with reality, the actual driving state of hard rock TBM can be judged, for improving drivage efficiency, mating boring parameter, improving the reference frame that cutter stress provides more science by deviation ratio e according to described ratio.
Accompanying drawing explanation
Figure 1 shows that in the embodiment of the present invention, engineering hard rock TBM ideal driving is 20% boundary curve than energy prediction curve and deviation ratio.
Embodiment
Below, tuberculosis example is further described substantive distinguishing features of the present invention and advantage, but the present invention is not limited to listed embodiment.
The present invention is by from the mechanical analysis of hobboing cutter Cutting Rock, determine to tunnel the mutual relationship than between energy and cutting-in, propose the computing method calculating hard rock TBM ideal driving ratio energy (or being called that best driving is than energy), then can based on the ideal driving ratio calculated, by the actual driving ratio energy of calculating hard rock TBM, and calculating ratio energy deviation ratio realizes the actual driving state judging hard rock TBM.
Below, illustrating the present invention is how specific implementation:
The first step, determine, in the normal tunneling process of hard rock TBM, between the thrust of hobboing cutter and cutting-in, to there is following relation:
F
n=kp
1-b(1)
In formula: F
nfor hobboing cutter thrust, unit is KN; K, b are constant, depend on structure and the mechanical property of rock mass, utilize the inverting identification of experimental data to determine; P is cutting-in, and unit is mm;
Second step, determine, in the normal tunneling process of hard rock TBM, between hobboing cutter cutting coefficient and cutting-in, to there is following relation:
CC=ap
c(2)
In formula: a, c are constant, at present, hard rock TBM uses the narrow shape hobboing cutter in normal cross section and Approximate Constant cross section usually, and normal cross section hobboing cutter tool point angle is generally less than 5 °, and the narrow shape hobboing cutter tool point angle in conventional Approximate Constant cross section is generally about 20 °.When tool point angle is less than 5 °, a=0.0473, c=0.5139; When tool point angle is about 20 °, a=0.0412, c=0.5114; CC is cutting coefficient.
3rd step, determine that hard rock TBM ideal driving exists following relation than between energy and cutting-in:
(unit K Wh/m
3) (3)
In formula: E ' is for hard rock TBM the best driving is than energy; N is hard rock TBM cutterhead hobboing cutter quantity;
for all hobboing cutters of hard rock TBM cutterhead on average install radius; R
tfor hard rock TBM cutter radius;
4th step, in conjunction with the tunneling data of collection in worksite, calculates actual driving than energy;
In conjunction with the project data of collection in worksite, actual specific energy calculation relational expression is as follows:
In formula: E is that the actual driving of hard rock TBM is than energy; Th is hard rock TBM cutterhead thrust; Tor is hard rock TBM cutter head torque;
5th step, by more satisfactory driving than tunneling than energy with reality, judges that hard rock TBM tunnels state;
In conjunction with the project data of collection in worksite, utilize relational expression (3) to calculate ideal and tunnel ratio energy, utilize relational expression (4) to calculate reality and tunnel ratio energy, and then calculate ratio energy deviation ratio e, as follows than energy deviation ratio e computation process:
If e≤20%, then illustrate that hard rock TBM is in normal phase of boring.If e > 20%, then illustrate that hard rock TBM tunnels energy consumption too much, tool wear is serious, should adjust the mutual relationship of cutter head torque and cutterhead thrust.
Embodiment
In the Tunnel Engineering of the present embodiment, the hard rock TBM structural parameters of use are as follows: cutterhead is installed 38 the normal cross section disk cutter of 432mm, namely hobboing cutter initial radium R is 216mm, and cutter radius is 3.285m, and radius sum installed by all hobboing cutters is 62.415m.
Country rock belongs to broken rock, and joint is more, provides the detailed step estimating TBM driving ratio energy as follows:
The first step, according in the normal tunneling process of hard rock TBM, the relational expression (1) between the thrust of hobboing cutter and cutting-in, determined by ROCK MASS JOINT and rock mechanics parameters, utilize the inverting identification of experimental data to determine k=172.89, b=1.07, then formula (1) becomes:
F
n=172.89p
1-1.07=172.89p
-0.07
Second step, in the present embodiment, all hobboing cutters of hard rock TBM are normal cross section disk cutter, get a=0.0473, c=0.5139, then formula (2) becomes:
CC=0.0473p
0.5139
3rd step, in the present embodiment, hard rock TBM number of cutters N=38, cutter radius R
t=3.285m, radius sum installed by all hobboing cutters of cutterhead is 62.415m, and mean radius is
then desirable driving develops into than the computing formula (3) of energy:
In the present embodiment, the tunneling data that a certain P. drechsleri gathers is as follows: cutterhead thrust 5437.8KN, cutter head torque 1900KNm, cutting-in 9mm.Utilize the above formula that relational expression (3) develops, calculate desirable driving than being:
4th step, in conjunction with the tunneling data of collection in worksite, calculates actual specific energy by above-mentioned formula (4);
Utilize relational expression (4) calculate actual specific can be:
In formula, J is energy unit's joule, converts KWh (kilowatt hour) to carry out than calculating by deviation ratio through calculation process;
5th step, utilizes relational expression (3) to calculate desirable driving than energy, utilizes relational expression (4) to calculate actual driving than energy, and then is calculated than energy deviation ratio e by above-mentioned formula (5).
Then than can deviation ratio e be:
5th step, by more best ratio can with actual specific energy, judge hard rock TBM tunnel state;
Now e=28.63% is greater than 20%, and driving energy consumption is comparatively large, and tool wear is comparatively serious, and drivage efficiency is lower, suitably should adjust the proportionate relationship of cutter head torque and cutterhead thrust.
In the present embodiment, the tunneling data that another P. drechsleri gathers is as follows: cutterhead thrust 5145.2KN, cutter head torque 2000KNm, cutting-in 15mm.Utilize the above-mentioned calculating formula that relational expression (3) develops, calculate desirable driving than being:
Utilize relational expression (4) calculate actual specific can be:
Then than can deviation ratio e be:
Now e=15% is less than 20%, and hard rock TBM is in normal driving state.
Desirable driving is than being with the situation of change of cutting-in: along with the increase of cutting-in, desirable than reducing gradually.Curve in Fig. 1 shown in "●" be ideal (or the best) driving that utilizes the present invention to propose than can formula predictions this project hard rock TBM ideal driving than can change curve, the curve shown in " " is than can deviation ratio be the boundary curve of 20%.
Research finds, when data point is positioned between "●" curve and " " curve, shows that hard rock TBM belongs to normal driving; When data point is positioned on " " curve, show that hard rock TBM energy consumption is too much, tool wear is serious, and drivage efficiency is low.
The present invention is from the mechanical analysis of hobboing cutter Cutting Rock, determine to tunnel the mutual relationship than between energy and cutting-in, propose and calculate the new method of hard rock TBM the best driving than energy, and based on the best than energy computing formula, the determination methods that hard rock TBM tunnels state is proposed, for improving drivage efficiency, mating boring parameter, improving the reference frame that cutter stress provides more science.
Although with reference to multiple explanatory embodiment of the present invention, invention has been described here, but, should be appreciated that, those skilled in the art can design a lot of other amendment and embodiment, these amendments and embodiment will drop within spirit disclosed in the present application and spirit.
More particularly, in the scope of, accompanying drawing open in the application and claim, multiple modification and improvement can be carried out to the building block of subject combination layout and/or layout.Except the modification of carrying out building block and/or layout is with except improvement, to those skilled in the art, other purposes also will be obvious.
Claims (4)
1. a determination methods for hard rock mole driving state, is characterized in that, comprise the following steps:
Calculate the ideal driving of hard rock TBM than energy;
In conjunction with the tunneling data of collection in worksite, calculate the actual driving of hard rock TBM than energy;
Utilize described desirable driving than tunneling than calculating than energy deviation ratio e with reality, the actual driving state of hard rock TBM can be judged by deviation ratio e according to described ratio.
2. hard rock mole tunnels the determination methods of state according to claim 1, it is characterized in that, the ideal driving of described hard rock TBM, than the calculating of energy E ', adopts following formula:
Wherein, E ' is for hard rock TBM ideal driving is than energy; N is hard rock TBM cutterhead hobboing cutter quantity;
for all hobboing cutters of hard rock TBM cutterhead on average install radius; R
tfor hard rock TBM cutter radius, a, c, k, b are constant, and p is cutting-in, and k, b constant passes through in the normal tunneling process of hard rock TBM, hobboing cutter thrust F
nand the relational expression F between cutting-in p
n=kp
1-b, utilize the inverting identification of experimental data to determine, a, c constant system is by the relational expression CC=ap between hobboing cutter cutting coefficient CC and cutting-in p
cand the tool point angle size of hobboing cutter is determined;
The actual driving of described hard rock TBM is than can E calculating adopt following formula to carry out:
Wherein, E is that the actual driving of hard rock TBM is than energy; Th is hard rock TBM cutterhead thrust; Tor is hard rock TBM cutter head torque.
3. hard rock mole tunnels the determination methods of state according to claim 2, it is characterized in that, the described computing formula than energy deviation ratio e is as follows:
4. according to claim 1 or 3, hard rock mole tunnels the determination methods of state, it is characterized in that, if described than 20% can be less than or equal to by deviation ratio e, then judge that hard rock TBM energy consumption is in values, be in normal driving state, otherwise be judged as that hard rock TBM energy consumption exceeds preset value.
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Cited By (6)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN106295075A (en) * | 2016-08-30 | 2017-01-04 | 中国人民解放军军事交通学院 | A kind of hard rock tunnel development machine normal cross section disk cutter weight wear extent predictor method |
CN107679330A (en) * | 2017-09-30 | 2018-02-09 | 中铁工程装备集团有限公司 | A kind of real-time estimating method of TBM cutter disc systems broken rock performance extent of deterioration |
CN111365010A (en) * | 2020-04-03 | 2020-07-03 | 中铁工程装备集团有限公司 | Method for judging hob state and performing geological inversion on shield tunneling machine |
WO2021073497A1 (en) * | 2019-10-18 | 2021-04-22 | 中铁隧道局集团有限公司 | Broken stratum tbm jamming risk early-warning method based on torque-thrust ratio |
CN112733432A (en) * | 2020-12-22 | 2021-04-30 | 山东大学 | Tunneling control method and system under extremely complex geological conditions of TBM |
CN113361043A (en) * | 2021-06-25 | 2021-09-07 | 天津大学 | Method and system for predicting specific energy of cutter head of hard rock tunnel boring machine |
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Cited By (10)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN106295075A (en) * | 2016-08-30 | 2017-01-04 | 中国人民解放军军事交通学院 | A kind of hard rock tunnel development machine normal cross section disk cutter weight wear extent predictor method |
CN106295075B (en) * | 2016-08-30 | 2019-06-21 | 中国人民解放军军事交通学院 | A kind of normal section disk cutter weight abrasion loss predictor method of hard rock tunnel development machine |
CN107679330A (en) * | 2017-09-30 | 2018-02-09 | 中铁工程装备集团有限公司 | A kind of real-time estimating method of TBM cutter disc systems broken rock performance extent of deterioration |
CN107679330B (en) * | 2017-09-30 | 2020-10-30 | 中铁工程装备集团有限公司 | Real-time evaluation method for rock breaking performance loss degree of TBM cutter head system |
WO2021073497A1 (en) * | 2019-10-18 | 2021-04-22 | 中铁隧道局集团有限公司 | Broken stratum tbm jamming risk early-warning method based on torque-thrust ratio |
CN111365010A (en) * | 2020-04-03 | 2020-07-03 | 中铁工程装备集团有限公司 | Method for judging hob state and performing geological inversion on shield tunneling machine |
CN111365010B (en) * | 2020-04-03 | 2021-08-27 | 中铁工程装备集团有限公司 | Method for judging hob state and performing geological inversion on shield tunneling machine |
CN112733432A (en) * | 2020-12-22 | 2021-04-30 | 山东大学 | Tunneling control method and system under extremely complex geological conditions of TBM |
CN113361043A (en) * | 2021-06-25 | 2021-09-07 | 天津大学 | Method and system for predicting specific energy of cutter head of hard rock tunnel boring machine |
CN113361043B (en) * | 2021-06-25 | 2022-05-06 | 天津大学 | Method and system for predicting specific energy of cutter head of hard rock tunnel boring machine |
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