CN104598996A - Prediction method of surface deformation due to construction based on least square support vector machine - Google Patents
Prediction method of surface deformation due to construction based on least square support vector machine Download PDFInfo
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- CN104598996A CN104598996A CN201510052028.4A CN201510052028A CN104598996A CN 104598996 A CN104598996 A CN 104598996A CN 201510052028 A CN201510052028 A CN 201510052028A CN 104598996 A CN104598996 A CN 104598996A
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- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q50/00—Systems or methods specially adapted for specific business sectors, e.g. utilities or tourism
- G06Q50/08—Construction
Abstract
The invention relates to a prediction method of surface deformation due to construction based on a least square support vector machine. The prediction method includes the following processing steps: (1), collecting surface deformation sample data needed for prediction due to shield construction; (2), building a training sample set and a testing sample set; (3), building a surface deformation prediction model based on the least square support vector; and (4), inputting the stratum parameter and the shield tunneling working parameter and conducting surface deformation prediction. The prediction method of surface deformation realizes surface deformation intelligent prediction which can consider the shield tunneling parameters through little sample data, and is low in calculation cost, high in efficiency and applicable to rapid prediction of the surface deformation due to new-building shield tunnel construction with little sample data.
Description
[technical field]
The present invention relates to a kind of Forecasting Methodology of shield-tunneling construction, be specifically related to the Forecasting Methodology that a kind of construction based on least square method supporting vector machine causes earth's surface to be out of shape, belong to underground structrue engineering technical field.
[background technology]
The earth's surface distortion (distortion maximal value and subsider width) that constructing metro tunnel causes is the core content that urban environmental impact controls, and is the hot issue of tunneling and underground engineering area research always.The fast development of downtown area subway engineering in recent years and the widespread use of shield technique, the Displacement forecast problem that shield tunnel causes at home and abroad is obtained for be paid close attention to widely.
Adopt numerical method (Finite Element, method of finite difference, distinct element method, grain flow method etc.), analytic method and engineering experience method, more research has been carried out to the earth's surface distortion that shield tunnel causes.But research has carried out more simplification and supposition to the technical characteristic of shield tunnel at present, Displacement forecast method or relate to too many theoretical parameter, engineer applied effect is poor, or too simplify, directly can not reflect the impact of shield driving parameter, theory and practice requires Displacement forecast and the analytical approach that directly can reflect shield driving parameter influence.
Affect the factor of earth's surface distortion except stratigraphic type, edpth of tunnel, shield driving parameter (support pressure, grouting behind shaft or drift lining, shield machine thrust etc.) can initiatively have an impact to earth's surface distortion, is the key element of necessary directly reflection in Displacement forecast.Consider the impact of above-mentioned key element, utilize shield structure (initially) to tunnel a small amount of sample produced, the earth's surface distortion that prediction subsequent construction produces, Modern statistics study theory provides feasibility.
In Statistical Learning Theory, support vector machine method shows many distinctive advantages in solution small sample, non-linear and high dimensional pattern identification, under the prerequisite of suitably study, possessed superior generalization ability.Least square method supporting vector machine converts the inequality constrain condition in support vector machine to equality constraint and solves, reduce the complexity of calculating, reduce and assess the cost, save computing time, be more conducive to applying in engineering production practices.
The intelligent modeling of multidimensional variable input and multidimensional variable output is realized based on least square method supporting vector machine, in conjunction with study and the inspection of a small amount of sample, better can reflect the impact that shield driving Parameters on Ground Surface is out of shape, maximum surface deformation value and subsider width are predicted simultaneously, and automatically can upgrade optimal prediction model with shield driving, thus better the long distance of reflection shield structure advances the feature of edpth of tunnel and stratum gradual change.
Therefore, the necessary Forecasting Methodology providing a kind of construction based on least square method supporting vector machine of innovation to cause earth's surface to be out of shape, to overcome described defect of the prior art.
[summary of the invention]
For solving the problem, the object of the present invention is to provide the Forecasting Methodology that a kind of construction based on least square method supporting vector machine causes earth's surface to be out of shape, it utilizes shield structure (initially) to tunnel the low volume data produced, set up the Displacement forecast model based on least square support vector base, realize the intelligent predicting to the distortion of follow-up shield-tunneling construction earth's surface, and accurately reflection shield driving parameter value on the impact of earth's surface maximum deformation value and subsider width, for the distortion of more positive control earth's surface provides foundation.
For achieving the above object, the technical scheme that the present invention takes is: the Forecasting Methodology that the construction based on least square method supporting vector machine causes earth's surface to be out of shape, and it comprises the steps:
(1), Displacement forecast sample data is collected: pass through value, support pressure, fltting speed, thrust, moment of torsion, cutterhead rotating speed and grouting amount 8 variablees as input variable using edpth of tunnel, vault earthing mark, earth's surface maximum deformation value and subsider width 2 variablees are as output variable, arrange the numerical value of above-mentioned variable on difference test section, form sample data sets;
(2), set up training sample set and test sample book collection: utilize the sample data sets obtained in (1), build training sample set and test sample book set;
(3) Displacement forecast model, is set up: by the supervised learning of training sample and the reasonableness test of test sample book, automatic calculating definite kernel type function, nuclear parameter and regularization parameter, form the earth's surface maximum deformation value based on least square support vector base and subsider width prediction models;
(4), the Displacement forecast that causes of newly-built shield tunnel construction: the edpth of tunnel of input prediction position, vault earthing mark pass through the shield driving parameter value (support pressure, fltting speed, thrust, moment of torsion, cutterhead rotating speed and grouting amount) of value and plan configuration, prediction earth's surface maximum deformation value and subsider width.
The Forecasting Methodology that construction based on least square method supporting vector machine of the present invention causes earth's surface to be out of shape is further: in described step (1), and described sample data is the data of shield structure (initially) phase of boring.
The Forecasting Methodology that construction based on least square method supporting vector machine of the present invention causes earth's surface to be out of shape also can be: the training sample in step (3) and test sample book are input in least square method supporting vector machine algorithm, the earth's surface maximum deformation value caused based on the shield-tunneling construction of least square support vector base of foundation and subsider width prediction models; Kernel function and parameter thereof, regularization parameter utilize abandons a method cross validation automatic optimal and determines.
Compared with prior art, the present invention has following beneficial effect:
(1) directly can reflect and the impact that shield driving parameter (support pressure, fltting speed, thrust, moment of torsion, cutterhead rotating speed and grouting amount) is out of shape earth's surface be more conducive to the ACTIVE CONTROL of shield-tunneling construction environmental impact;
(2) automatically can upgrade optimal prediction model with shield driving, thus better the long distance of reflection shield structure advances the feature of edpth of tunnel and stratum gradual change;
(3) explicit expression of earth's surface maximum deformation value and subsider width and relative influence key element can be provided, thus can the mechanism of action of more clear understanding relevant factor;
(4), the present invention realizes by a small amount of sample data the earth's surface distortion intelligent predicting can considering shield driving parameter influence, assess the cost low, efficiency is high, is applicable to the fast prediction of the earth's surface distortion that the less newly-built shield tunnel construction of sample data causes.
[accompanying drawing explanation].
Fig. 1 is the particular flow sheet of the Forecasting Methodology that the construction based on least square method supporting vector machine of the present invention causes earth's surface to be out of shape.
[embodiment]
Refer to shown in Figure of description 1, the present invention is the Forecasting Methodology that a kind of construction based on least square method supporting vector machine causes earth's surface to be out of shape, and it comprises the steps:
(1), Displacement forecast sample data is collected
Value, support pressure, fltting speed, thrust, moment of torsion, cutterhead rotating speed and grouting amount 8 variablees are passed through as input variable using edpth of tunnel, vault earthing mark, earth's surface maximum deformation value and subsider width 2 variablees are as output variable, arrange the numerical value of above-mentioned variable on difference test section, form sample data sets; Wherein, described sample data is specially the data of shield structure (initially) phase of boring;
(2), set up training sample set and test sample book collection: utilize the sample data sets obtained in (1), build training sample set and test sample book set;
(3) Displacement forecast model, is set up: by the supervised learning of training sample and the reasonableness test of test sample book, automatic calculating definite kernel type function, nuclear parameter and regularization parameter, form the earth's surface maximum deformation value based on least square support vector base and subsider width prediction models; Wherein, training sample and test sample book are input in least square method supporting vector machine algorithm, the earth's surface maximum deformation value caused based on the shield-tunneling construction of least square support vector base of foundation and subsider width prediction models; Kernel function and parameter thereof, regularization parameter utilize abandons a method cross validation automatic optimal and determines;
(4), the Displacement forecast that causes of newly-built shield tunnel construction: the edpth of tunnel of input prediction position, vault earthing mark pass through the shield driving parameter value (support pressure, fltting speed, thrust, moment of torsion, cutterhead rotating speed and grouting amount) of value and plan configuration, prediction earth's surface maximum deformation value and subsider width.
Below in conjunction with example, the Displacement forecast method caused based on the shield-tunneling construction of least square support vector base of the present invention is described in further detail.
Collect data:
This example chooses the measured data of certain shield tunnel project at phase of boring.Earth's surface maximum distortion and subsider length prediction desired data can respectively from different monitoring sections.Respectively in shown in table 1 and table 2.
Set up training sample set and test sample book collection:
Value, support pressure, fltting speed, thrust, moment of torsion, cutterhead rotating speed and grouting amount 8 variablees are passed through as input variable using edpth of tunnel, vault earthing mark, earth's surface maximum deformation value and subsider width 2 variablees, as output variable, set up training sample set and test sample book collection.The results are shown in Table shown in 1 and table 2.
The training sample of table 1 earth's surface maximum settlement value prediction model and test sample book
The training sample of table 2 ground settlement groove half-breadth value prediction model and test sample book
Set up forecast model:
By the supervised learning of training sample and the reasonableness test of test sample book, automatically calculate definite kernel type function, nuclear parameter and regularization parameter, form the earth's surface maximum settlement value based on least square support vector base and subsider width prediction models.The test result of test sample book is in shown in table 3, table 4.
Table 3 earth's surface maximum settlement value test result
| Test sample book value | Calculated value | Absolute error | Relative error |
| -26.9 | -26.552 | 0.348 | 1.30％ |
| -24.5 | -24.203 | 0.297 | 1.21％ |
| -23.3 | -23.905 | 0.605 | 2.59％ |
| -20.4 | -21.043 | 0.643 | 3.15％ |
Table 4 subsider half-breadth test result
| Test sample book value | Calculated value | Absolute error | Relative error |
| 23.0 | 22.385 | 0.615 | 2.67％ |
| 20.3 | 20.037 | 0.263 | 1.30％ |
| 19.8 | 20.042 | 0.242 | 1.22％ |
| 17.5 | 17.733 | 0.233 | 1.33％ |
As can be seen from table 3, table 4, test sample book value and calculated value degree of closeness better, can meet the actual demand of engineering construction completely.
The Displacement forecast of follow-up shield-tunneling construction:
Input the edpth of tunnel of position to be predicted, shield driving parameter value (support pressure, fltting speed, thrust, moment of torsion, cutterhead rotating speed and grouting amount) that vault earthing mark passes through value and plan configuration, prediction earth's surface maximum settlement value and subsider width.Predict the outcome and be shown in Table 5.
Table 5 earth's surface maximum settlement value and subsider half-breadth predict the outcome
Above embodiment is only the preferred embodiment of this creation, and not in order to limit this creation, any amendment made within all spirit in this creation and principle, equivalent replacement, improvement etc., within the protection domain that all should be included in this creation.
Claims (3)
1., based on the Forecasting Methodology that the construction of least square method supporting vector machine causes earth's surface to be out of shape, it is characterized in that: comprise the steps:
(1), Displacement forecast sample data is collected: pass through value, support pressure, fltting speed, thrust, moment of torsion, cutterhead rotating speed and grouting amount 8 variablees as input variable using edpth of tunnel, vault earthing mark, earth's surface maximum deformation value and subsider width 2 variablees are as output variable, arrange the numerical value of above-mentioned variable on difference test section, form sample data sets;
(2), set up training sample set and test sample book collection: utilize the sample data sets obtained in (1), build training sample set and test sample book set;
(3) Displacement forecast model, is set up: by the supervised learning of training sample and the reasonableness test of test sample book, automatic calculating definite kernel type function, nuclear parameter and regularization parameter, form the earth's surface maximum deformation value based on least square support vector base and subsider width prediction models;
(4), the Displacement forecast that causes of newly-built shield tunnel construction: the edpth of tunnel of input prediction position, vault earthing mark pass through the shield driving parameter value (support pressure, fltting speed, thrust, moment of torsion, cutterhead rotating speed and grouting amount) of value and plan configuration, prediction earth's surface maximum deformation value and subsider width.
2., as claimed in claim 1 based on the Forecasting Methodology that the construction of least square method supporting vector machine causes earth's surface to be out of shape, it is characterized in that: in described step (1), described sample data is the data of shield structure (initially) phase of boring.
3. as claimed in claim 1 based on the Forecasting Methodology that the construction of least square method supporting vector machine causes earth's surface to be out of shape, it is characterized in that: the training sample in step (3) and test sample book are input in least square method supporting vector machine algorithm, the earth's surface maximum deformation value caused based on the shield-tunneling construction of least square support vector base of foundation and subsider width prediction models; Kernel function and parameter thereof, regularization parameter utilize abandons a method cross validation automatic optimal and determines.
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Cited By (11)
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| CN105735370A (en) * | 2016-03-02 | 2016-07-06 | 铁道第三勘察设计院集团有限公司 | Foundation settlement deformation prediction method based on Rayleigh waves |
| CN106197252A (en) * | 2016-07-13 | 2016-12-07 | 中国计量大学 | The method for building up of ground deformation position distribution measuring model based on parallel spiral transmission line |
| CN106407581A (en) * | 2016-09-28 | 2017-02-15 | 华中科技大学 | Intelligent prediction method for ground surface settlement induced by subway tunnel construction |
| CN107562977A (en) * | 2017-07-04 | 2018-01-09 | 北京交通大学 | The Forecasting Methodology that construction causes existing tunnel to deform is worn under a kind of shield |
| CN108830012A (en) * | 2018-06-29 | 2018-11-16 | 上海勘察设计研究院(集团)有限公司 | A kind of malformation prediction technique excavated based on total factor |
| CN109242171A (en) * | 2018-08-28 | 2019-01-18 | 河南省豫晋高速公路建设有限公司 | A kind of shield-tunneling construction Ground surface settlement method based on BIM and RS-SVR |
| CN111382472A (en) * | 2020-01-16 | 2020-07-07 | 华中科技大学 | Method and device for predicting shield-induced proximity structure deformation by random forest fusion SVM (support vector machine) |
| CN111639468A (en) * | 2020-06-10 | 2020-09-08 | 中铁十四局集团大盾构工程有限公司 | Method and device for predicting surface sedimentation value and computer readable storage medium |
| CN112101621A (en) * | 2020-08-13 | 2020-12-18 | 中交隧道工程局有限公司 | Discrete variable-based soft soil stratum shield construction surface deformation prediction method |
| CN112149257A (en) * | 2020-10-09 | 2020-12-29 | 天津大学 | APDL language-based parametric modeling method for cutter head of combined type shield tunneling machine |
| CN112417573A (en) * | 2020-12-10 | 2021-02-26 | 华中科技大学 | Multi-objective optimization method for shield tunneling underneath existing tunnel construction based on GA-LSSVM and NSGA-II |
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Cited By (15)
| Publication number | Priority date | Publication date | Assignee | Title |
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| CN105735370B (en) * | 2016-03-02 | 2017-11-14 | 中国铁路设计集团有限公司 | Foundation settlement Deformation Prediction method based on Rayleigh waves |
| CN105735370A (en) * | 2016-03-02 | 2016-07-06 | 铁道第三勘察设计院集团有限公司 | Foundation settlement deformation prediction method based on Rayleigh waves |
| CN106197252A (en) * | 2016-07-13 | 2016-12-07 | 中国计量大学 | The method for building up of ground deformation position distribution measuring model based on parallel spiral transmission line |
| CN106407581A (en) * | 2016-09-28 | 2017-02-15 | 华中科技大学 | Intelligent prediction method for ground surface settlement induced by subway tunnel construction |
| CN107562977B (en) * | 2017-07-04 | 2019-02-05 | 北京交通大学 | The prediction technique that construction causes existing tunnel to deform is worn under a kind of shield |
| CN107562977A (en) * | 2017-07-04 | 2018-01-09 | 北京交通大学 | The Forecasting Methodology that construction causes existing tunnel to deform is worn under a kind of shield |
| CN108830012A (en) * | 2018-06-29 | 2018-11-16 | 上海勘察设计研究院(集团)有限公司 | A kind of malformation prediction technique excavated based on total factor |
| CN109242171A (en) * | 2018-08-28 | 2019-01-18 | 河南省豫晋高速公路建设有限公司 | A kind of shield-tunneling construction Ground surface settlement method based on BIM and RS-SVR |
| CN111382472A (en) * | 2020-01-16 | 2020-07-07 | 华中科技大学 | Method and device for predicting shield-induced proximity structure deformation by random forest fusion SVM (support vector machine) |
| CN111639468A (en) * | 2020-06-10 | 2020-09-08 | 中铁十四局集团大盾构工程有限公司 | Method and device for predicting surface sedimentation value and computer readable storage medium |
| CN112101621A (en) * | 2020-08-13 | 2020-12-18 | 中交隧道工程局有限公司 | Discrete variable-based soft soil stratum shield construction surface deformation prediction method |
| CN112101621B (en) * | 2020-08-13 | 2024-02-02 | 中交隧道工程局有限公司 | Soft soil stratum shield construction earth surface deformation prediction method based on discrete variables |
| CN112149257A (en) * | 2020-10-09 | 2020-12-29 | 天津大学 | APDL language-based parametric modeling method for cutter head of combined type shield tunneling machine |
| CN112417573A (en) * | 2020-12-10 | 2021-02-26 | 华中科技大学 | Multi-objective optimization method for shield tunneling underneath existing tunnel construction based on GA-LSSVM and NSGA-II |
| CN112417573B (en) * | 2020-12-10 | 2024-04-12 | 华中科技大学 | GA-LSSVM and NSGA-II shield tunneling multi-objective optimization method based on existing tunnel construction |
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Application publication date: 20150506 |