CN108760301B - Method for quantitatively estimating service life state of main bearing of tunnel boring machine - Google Patents
Method for quantitatively estimating service life state of main bearing of tunnel boring machine Download PDFInfo
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- 238000000034 method Methods 0.000 title claims abstract description 20
- 230000005641 tunneling Effects 0.000 claims abstract description 14
- 238000000638 solvent extraction Methods 0.000 claims description 3
- 238000005192 partition Methods 0.000 claims description 2
- 238000010276 construction Methods 0.000 abstract description 7
- 238000004458 analytical method Methods 0.000 abstract description 4
- 238000005516 engineering process Methods 0.000 abstract description 3
- 230000007547 defect Effects 0.000 abstract 1
- 230000005540 biological transmission Effects 0.000 description 2
- 239000011435 rock Substances 0.000 description 2
- 238000009825 accumulation Methods 0.000 description 1
- 238000009412 basement excavation Methods 0.000 description 1
- 238000012423 maintenance Methods 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
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- 238000004445 quantitative analysis Methods 0.000 description 1
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01M—TESTING STATIC OR DYNAMIC BALANCE OF MACHINES OR STRUCTURES; TESTING OF STRUCTURES OR APPARATUS, NOT OTHERWISE PROVIDED FOR
- G01M13/00—Testing of machine parts
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Abstract
The invention provides a method for quantitatively estimating the service life state of a main bearing of a tunnel boring machine, and relates to the construction technology of tunnel boring equipment and similar equipment. Firstly, obtaining the basic rated service life L of the bearing according to the performance parameters of the bearing10hAnd rated dynamic load C. And acquiring the total propulsion F and the cutter head torque Tn in real time according to the PLC, reading once per second, recording the stress condition of the main bearing after the equipment starts tunneling, and counting the total tunneling working time H. Calculating the equivalent total consumption life L according to the established life estimation model through the statistics of historical data1And therefore the residual service life L of the main bearing is estimated. The method overcomes the defect that the service life of the main bearing of the shield machine cannot be quantitatively judged in the prior art, and avoids the limitation that a theoretical analysis model is not suitable for the actual tunneling working condition by the method for establishing the analysis model based on the field construction data. The method can be simultaneously expanded to the application fields of other large main bearings.
Description
Technical Field
The invention belongs to the technical field of tunneling equipment construction, and particularly relates to a method for quantitatively estimating the service life state of a main bearing of a tunneling machine, so that guidance is provided for whether a main bearing needs to be replaced and maintained, and the quantitative estimation of the service life state of the main bearing is realized.
Background
A tunnel boring machine (hereinafter referred to as a hard rock TBM) is a large-scale high-tech construction equipment specially applied to tunnel excavation and underground passage engineering. The main bearing is the most critical structural component of the tunnel boring machine, and the service life state of the main bearing directly influences the maintenance and the use of the tunnel boring machine and even influences the success or failure of a tunnel project.
With the increasing number of the service of the old tunnel boring machine in the market at home and abroad and the increasing demand of remanufacturing the shield and the TBM, the accurate estimation of the residual service life of the main bearing, which is a key index for evaluating the service performance of the main bearing, has more realistic significance. The traditional method for estimating the service life of the main bearing mostly adopts qualitative judgment, and the qualitative judgment method has larger deviation due to the fact that the types of surrounding rocks are complex and changeable in the construction process.
Disclosure of Invention
The invention aims to solve the technical problem of qualitatively judging the large deviation of the residual service life of the main bearing, thereby providing a method for quantitatively estimating the service life state of the main bearing of the tunnel boring machine.
In order to solve the technical problems, the technical scheme adopted by the invention is as follows:
a method for quantitatively estimating the service life state of a main bearing of a tunnel boring machine comprises the following steps:
s1, obtaining the basic rated service life L of the main bearing according to the performance parameters of the main bearing of the tunnel boring machine10hAnd a rated dynamic load C. The performance parameters of the main bearing are jointly determined by a main bearing parameter designer and a manufacturer.
S2, acquiring total thrust F and cutter torque T in real time according to PLCnReading once per second, recording the stress condition of the main bearing after the heading machine starts heading, and counting the total heading working time H; and the total tunneling working time H refers to the effective tunneling time, and the judgment standard is that the total propelling force F is greater than 0.
S3, establishing a main bearing life estimation model, and calculating the equivalent total consumption life L1。
S3.1, calculating a load coefficient k, wherein the formula is as follows:
wherein: c is rated dynamic load, F is total thrust, TnThe cutter torque is R, and the cutter radius is R.
S3.2, partitioning the load coefficient k and obtaining the distribution percentage P of the load coefficient k in each partitioniAnd a weighting factor wi；
S3.3, establishing a service life prediction model of the main bearing according to the step S3.2 to obtain the equivalent total consumption service life L1：
Wherein p isiIs the distribution percentage of the load coefficient k in a certain interval, wiI represents the ith interval, and i is 1, 2. By default, w1-w7Respectively 0.1, 0.3, 0.5, 0.7, 0.9, 1.1, 1.3.
S4, calculating the residual service life L of the main bearing:
L＝L10h-L1；
wherein L is10hFor the basic rated life of the main bearing, L1Is the equivalent total consumed life.
Based on the development of the internet of things technology and the remote data transmission technology, the existing tunnel boring machine is provided with a data acquisition system and a real-time transmission system, and a solid foundation is laid for the source and quantitative analysis of data. The invention is based on the bearing life damage linear accumulation theory, realizes the quantitative judgment of the residual life of the main bearing by recording the working condition of the main bearing during the use period in real time, improves the accuracy of the service life estimation of the main bearing, and provides guidance for whether the main bearing needs to be replaced and maintained. The service life state of the main bearing is evaluated according to the tunneling parameters acquired by the upper computer in real time in the tunneling process, no additional sensor or procedure is needed, and the field construction is not influenced. Meanwhile, the method for establishing the analysis model based on the field construction data avoids the limitation that the theoretical analysis model is not suitable for the actual tunneling working condition. The method can be simultaneously expanded to the application fields of other large main bearings.
Detailed Description
The technical solutions in the embodiments of the present invention are clearly and completely described below, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all embodiments. All other embodiments, which can be obtained by a person skilled in the art without inventive effort based on the embodiments of the present invention, are within the scope of the present invention.
A method for quantitatively estimating the service life state of a main bearing of a tunnel boring machine comprises the following steps:
s1, obtaining the basic rated service life L of the main bearing according to the performance parameters of the main bearing of the tunnel boring machine10hAnd a rated dynamic load C. The performance parameters of the main bearing are jointly determined by a main bearing parameter designer and a manufacturer.
S2, acquiring total thrust F and cutter torque T in real time according to PLCnReading once per second, recording the stress condition of the main bearing after the heading machine starts heading, and counting the total heading working time H; and the total tunneling working time H refers to the effective tunneling time, and the judgment standard is that the total propelling force F is greater than 0.
S3, establishing a main bearing life estimation model, and calculating the equivalent total consumption life L1。
S3.1, calculating a load coefficient k, wherein the formula is as follows:
wherein: c is rated dynamic load, F is total thrust, Tn is cutter torque, and R is cutter radius.
S3.2, partitioning the load coefficient k and obtaining the distribution percentage of the load coefficient k in each partitionRatio PiAnd a weighting factor wi；
S3.3, establishing a service life prediction model of the main bearing according to the step S3.2 to obtain the equivalent total consumption service life L1：
Wherein p isiIs the distribution percentage of the load coefficient k in a certain interval, wiI represents the ith interval, and i is 1, 2. By default, w1-w7Respectively 0.1, 0.3, 0.5, 0.7, 0.9, 1.1, 1.3.
S4, calculating the residual service life L of the main bearing, wherein the residual service life L is the residual service life calculated based on the linear accumulated damage theory and is used for quantitatively estimating the service life state of the main bearing:
L＝L10h-L1；
wherein L is10hFor the basic rated life of the main bearing, L1Is the equivalent total consumed life.
The above description is only for the purpose of illustrating the preferred embodiments of the present invention and is not to be construed as limiting the invention, and any modifications, equivalents, improvements and the like that fall within the spirit and principle of the present invention are intended to be included therein.
Claims (3)
1. A method for quantitatively estimating the service life state of a main bearing of a tunnel boring machine is characterized by comprising the following steps:
s1, obtaining the basic rated service life L of the main bearing according to the performance parameters of the main bearing of the tunnel boring machine10hAnd a rated dynamic load C;
s2, acquiring total thrust F and cutter torque T in real time according to PLCnReading once per second, recording the stress condition of the main bearing after the heading machine starts heading, and counting the total headingWorking time H;
s3, establishing a main bearing life estimation model, and calculating the equivalent total consumption life L1；
The equivalent total consumed life:
wherein p isiIs the distribution percentage of the load coefficient k in a certain interval, wiA weighting coefficient of the load coefficient k in a certain interval, i represents the ith interval, and i is 1, 2.., 7;
s4, calculating the residual service life L of the main bearing:
L＝L10h-L1；
wherein L is10hFor the basic rated life of the main bearing, L1Is the equivalent total consumed life.
2. The method according to claim 1, wherein in step S2, the total tunneling working time H is an effective tunneling time, and the judgment criterion is that the total propelling force F is greater than 0.
3. The method for quantitatively estimating the life state of the main bearing of the tunnel boring machine according to claim 1, wherein in step S3, the concrete steps are as follows:
s3.1, calculating a load coefficient k, wherein the formula is as follows:
wherein: c is rated dynamic load, F is total thrust, TnThe cutter torque is R, and the cutter radius is R;
s3.2, partitioning the load coefficient k and obtaining the distribution percentage P of the load coefficient k in each partitioniAnd a weighting factor wi；
；
And S3.3, establishing a service life estimation model of the main bearing according to the step S3.2 to obtain the equivalent total consumption service life.
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| CN110750879B (en) * | 2019-09-27 | 2023-10-24 | 首钢京唐钢铁联合有限责任公司 | Method and device for estimating service life of bearing of tension roller speed reducer |
| CN111325403B (en) * | 2020-02-26 | 2023-07-11 | 长安大学 | Method for predicting residual life of electromechanical equipment of highway tunnel |
| CN113345128B (en) * | 2021-05-31 | 2023-03-21 | 中铁工程装备集团有限公司 | Tunnel boring machine key component abnormity alarm method and device |
| JP7323588B2 (en) * | 2021-10-20 | 2023-08-08 | 本田技研工業株式会社 | REUSE DETERMINATION SYSTEM, REUSE DETERMINATION METHOD AND PROGRAM |
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Denomination of invention: A Quantitative Prediction Method for Main Bearing Life State of Tunnel Boring Machine Effective date of registration: 20221226 Granted publication date: 20200331 Pledgee: China Construction Bank Corporation Zhengzhou Railway Sub Branch Pledgor: CHINA RAILWAY ENGINEERING EQUIPMENT GROUP Co.,Ltd. Registration number: Y2022980029005 |
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Granted publication date: 20200331 Pledgee: China Construction Bank Corporation Zhengzhou Railway Sub Branch Pledgor: CHINA RAILWAY ENGINEERING EQUIPMENT GROUP Co.,Ltd. Registration number: Y2022980029005 |
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