CN108760301A - One kind quantifying predictor method for tunnel piercing main bearing service life state - Google Patents
One kind quantifying predictor method for tunnel piercing main bearing service life state Download PDFInfo
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- CN108760301A CN108760301A CN201810431555.XA CN201810431555A CN108760301A CN 108760301 A CN108760301 A CN 108760301A CN 201810431555 A CN201810431555 A CN 201810431555A CN 108760301 A CN108760301 A CN 108760301A
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- 238000000034 method Methods 0.000 title claims abstract description 18
- 238000004458 analytical method Methods 0.000 abstract description 4
- 238000005516 engineering process Methods 0.000 abstract description 4
- 238000010276 construction Methods 0.000 abstract description 3
- 230000007547 defect Effects 0.000 abstract 1
- 238000011158 quantitative evaluation Methods 0.000 abstract 1
- 239000011435 rock Substances 0.000 description 6
- 238000009825 accumulation Methods 0.000 description 2
- 230000005540 biological transmission Effects 0.000 description 2
- 238000004519 manufacturing process Methods 0.000 description 2
- 230000005641 tunneling Effects 0.000 description 2
- 230000001186 cumulative effect Effects 0.000 description 1
- 239000000686 essence Substances 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 238000004445 quantitative analysis Methods 0.000 description 1
- 239000007787 solid Substances 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
- G01M13/04—Bearings
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Abstract
The present invention provides one kind quantifying predictor method for tunnel piercing main bearing service life state, is related to tunnel piercing equipment and similar equipment construction technology.The basic rating life L of bearing is obtained according to bearing performance parameter first10h, dynamic load rating C.Foundation PLC obtains total propulsion F and cutter head torque Tn in real time, and reading per second is primary, is recorded in equipment and starts to tunnel rear min bearing stressing conditions, while counting driving net cycle time H.Equivalent wastage in bulk or weight service life L is found out according to the life prediction model of foundation by the statistics of historical data1, to be estimated to the remaining life L of base bearing.The present invention overcomes the prior art there is also can not the defect in Quantitative evaluation main bearing of shield machine service life theoretical analysis model and the practical driving unconformable limitation of operating mode are avoided based on the method that site operation data establish analysis model.This method can be expanded to other large main-bearings and use field simultaneously.
Description
Technical field
The invention belongs to tunnel piercings to equip technical field of construction, and in particular to one kind being used for the tunnel piercing main bearing longevity
Life state quantifies predictor method, provides guidance to whether need replacing, repair to base bearing, realizes base bearing service life state
Quantitatively estimate.
Background technology
Rock tunnel(ling) machine (hereinafter referred to as hard rock TBM) is a kind of to be specifically applied to the big of tunneling and underpass engineering
Type high-tech construction equipment.Base bearing is the structural member of rock tunnel(ling) machine most critical, and service life state directly affects development machine
Repair uses, or even influences the key of a Tunnel Project success or failure.
As domestic and international market advanced age rock tunnel(ling) machine military service quantity is more and more, and remanufacture shield and the need of TBM
Ask increasing, evaluate the key index of its performance --- the remaining life of base bearing is precisely estimated with more reality meaning
Justice.Traditional base bearing life prediction method mostly uses qualitative judgement, qualitative since surrounding rock type is complicated and changeable in work progress
There are larger deviations for the method for judgement.
Invention content
It is big the technical problem to be solved by the present invention is to qualitatively judge base bearing remaining life deviation, it is used for provide one kind
Tunnel piercing main bearing service life state quantifies predictor method, and the present invention is based on bearing life impair linearity accumulation theories, pass through
The working condition of base bearing during use is recorded in real time, realizes the rational judgment to base bearing remaining life, is improved
The accuracy of base bearing life prediction.
In order to solve the above technical problems, the technical solution adopted in the present invention is as follows：
One kind quantifying predictor method for tunnel piercing main bearing service life state, and steps are as follows：
S1 obtains the basic rating life L of base bearing according to tunnel piercing main bearing performance parameter10hWith specified dynamic load
Lotus C.Base bearing performance parameter is determined jointly by base bearing parameter designing personnel, manufacturing firm.
S2 obtains gross thrust F and cutter head torque T in real time according to PLCn, it is per second to read once, it is recorded in development machine and starts to dig
Into rear min bearing stressing conditions, and count driving net cycle time H；And tunnel net cycle time H and refer to the effectively driving time, judge
Standard is overall driving force F > 0.
S3 establishes base bearing life prediction model, calculates equivalent wastage in bulk or weight service life L1。
S3.1, calculates load factor k, and formula is：
Wherein：C is dynamic load rating, and F is gross thrust, TnFor cutter head torque, R is cutter radius.
Load factor k is carried out subregion and obtains the distribution percentage P of each subregion internal loading coefficient k by S3.2iIt is with weighting
Number wi；
S3.3 establishes base bearing life prediction model according to step S3.2, obtains equivalent wastage in bulk or weight service life L1：
Wherein, piDistribution percentage for load factor k in a certain section, wiWeighting for load factor k in a certain section
Coefficient, i indicate i-th of section, and i=1,2 ..., 7.Under default situations, w1-w7Respectively 0.1,0.3,0.5,0.7,0.9,
1.1、1.3。
S4 calculates base bearing remaining life L：
L=L10h-L1；
Wherein, L10hFor the basic rating life of base bearing, L1For the equivalent wastage in bulk or weight service life.
The present invention is based on the development of technology of Internet of things and remote data transmission technology, existing rock tunnel(ling) machine is equipped with
Data collecting system and real-time transmission system lay a solid foundation for the source and quantitative analysis of data.Base of the present invention
It is realized in bearing life impair linearity accumulation theory by being recorded in real time to the working condition of base bearing during use
To the rational judgment of base bearing remaining life, the accuracy of base bearing life prediction is improved, and whether base bearing is needed replacing,
Repair provides guidance.The boring parameter obtained in real time according to host computer in tunneling process assesses base bearing service life state,
Without increasing additional sensor or process, site operation is not influenced.Simultaneously analysis model is established based on site operation data
Method avoids theoretical analysis model and the practical driving unconformable limitation of operating mode.This method can be expanded big to other simultaneously
Type base bearing uses field.
Specific implementation mode
The following is a clear and complete description of the technical scheme in the embodiments of the invention, it is clear that described embodiment
Only a part of the embodiment of the present invention, instead of all the embodiments.Based on the embodiments of the present invention, the common skill in this field
The every other embodiment that art personnel are obtained under the premise of not making the creative labor belongs to the model that the present invention protects
It encloses.
One kind quantifying predictor method for tunnel piercing main bearing service life state, and steps are as follows：
S1 obtains the basic rating life L of base bearing according to tunnel piercing main bearing performance parameter10hWith specified dynamic load
Lotus C.Base bearing performance parameter is determined jointly by base bearing parameter designing personnel, manufacturing firm.
S2 obtains gross thrust F and cutter head torque T in real time according to PLCn, it is per second to read once, it is recorded in development machine and starts to dig
Into rear min bearing stressing conditions, and count driving net cycle time H；And tunnel net cycle time H and refer to the effectively driving time, judge
Standard is overall driving force F > 0.
S3 establishes base bearing life prediction model, calculates equivalent wastage in bulk or weight service life L1。
S3.1, calculates load factor k, and formula is：
Wherein：C is dynamic load rating, and F is gross thrust, and Tn is cutter head torque, and R is cutter radius.
Load factor k is carried out subregion and obtains the distribution percentage P of each subregion internal loading coefficient k by S3.2iIt is with weighting
Number wi；
S3.3 establishes base bearing life prediction model according to step S3.2, obtains equivalent wastage in bulk or weight service life L1：
Wherein, piDistribution percentage for load factor k in a certain section, wiWeighting for load factor k in a certain section
Coefficient, i indicate i-th of section, and i=1,2 ..., 7.Under default situations, w1-w7Respectively 0.1,0.3,0.5,0.7,0.9,
1.1、1.3。
S4, it is the remaining life sought based on linear cumulative damage law to calculate base bearing remaining life L, remaining life L,
It is quantitatively estimated for the service life state to base bearing：
L=L10h-L1；
Wherein, L10hFor the basic rating life of base bearing, L1For the equivalent wastage in bulk or weight service life.
Described above is only presently preferred embodiments of the present invention, is not intended to limit the invention, all essences in the present invention
With within principle, any modification, equivalent replacement, improvement and so on should all be included in the protection scope of the present invention god.
Claims (3)
1. one kind quantifying predictor method for tunnel piercing main bearing service life state, which is characterized in that steps are as follows：
S1 obtains the basic rating life L of base bearing according to tunnel piercing main bearing performance parameter10hWith dynamic load rating C；
S2 obtains gross thrust F and cutter head torque T in real time according to PLCn, it is per second to read primary, it is recorded in after development machine starts driving
Base bearing stressing conditions, and count driving net cycle time H；
S3 establishes base bearing life prediction model, calculates equivalent wastage in bulk or weight service life L1；
S4 calculates base bearing remaining life L：
L=L10h-L1；
Wherein, L10hFor the basic rating life of base bearing, L1For the equivalent wastage in bulk or weight service life.
2. according to claim 1 quantify predictor method for tunnel piercing main bearing service life state, which is characterized in that
In step s 2, the driving net cycle time H is that effectively driving time, criterion are overall driving force F > 0.
3. according to claim 1 quantify predictor method for tunnel piercing main bearing service life state, which is characterized in that
In step s3, the specific steps are：
S3.1, calculates load factor k, and formula is：
Wherein：C is dynamic load rating, and F is gross thrust, TnFor cutter head torque, R is cutter radius；
Load factor k is carried out subregion and obtains the distribution percentage P of each subregion internal loading coefficient k by S3.2iWith weighting coefficient wi；
S3.3 establishes base bearing life prediction model according to step S3.2, obtains equivalent wastage in bulk or weight service life L1：
Wherein, piDistribution percentage for load factor k in a certain section, wiWeighting system for load factor k in a certain section
Number, i indicate i-th of section, and i=1,2 ..., 7.
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| CN201810431555.XA CN108760301B (en) | 2018-05-08 | 2018-05-08 | Method for quantitatively estimating service life state of main bearing of tunnel boring machine |
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| CN201810431555.XA CN108760301B (en) | 2018-05-08 | 2018-05-08 | Method for quantitatively estimating service life state of main bearing of tunnel boring machine |
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Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110186679A (en) * | 2019-05-13 | 2019-08-30 | 温州大学 | The diagnostic method of shield main shaft bearing |
| CN110750879A (en) * | 2019-09-27 | 2020-02-04 | 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 |
| CN111325403A (en) * | 2020-02-26 | 2020-06-23 | 长安大学 | Method for predicting remaining life of electromechanical equipment of highway tunnel |
| CN113345128A (en) * | 2021-05-31 | 2021-09-03 | 中铁工程装备集团有限公司 | Tunnel boring machine key component abnormity alarm method and device |
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| Publication number | Priority date | Publication date | Assignee | Title |
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| CN111325403A (en) * | 2020-02-26 | 2020-06-23 | 长安大学 | Method for predicting remaining life of electromechanical equipment of highway tunnel |
| CN113345128A (en) * | 2021-05-31 | 2021-09-03 | 中铁工程装备集团有限公司 | Tunnel boring machine key component abnormity alarm method and device |
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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 |