CN110006994A - A kind of lossless detection method of the more defects of built construction object inside configuration - Google Patents
A kind of lossless detection method of the more defects of built construction object inside configuration Download PDFInfo
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- CN110006994A CN110006994A CN201910269643.9A CN201910269643A CN110006994A CN 110006994 A CN110006994 A CN 110006994A CN 201910269643 A CN201910269643 A CN 201910269643A CN 110006994 A CN110006994 A CN 110006994A
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N29/00—Investigating or analysing materials by the use of ultrasonic, sonic or infrasonic waves; Visualisation of the interior of objects by transmitting ultrasonic or sonic waves through the object
- G01N29/04—Analysing solids
- G01N29/045—Analysing solids by imparting shocks to the workpiece and detecting the vibrations or the acoustic waves caused by the shocks
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N29/00—Investigating or analysing materials by the use of ultrasonic, sonic or infrasonic waves; Visualisation of the interior of objects by transmitting ultrasonic or sonic waves through the object
- G01N29/44—Processing the detected response signal, e.g. electronic circuits specially adapted therefor
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Abstract
The invention discloses a kind of lossless detection methods of more defects of built construction object inside configuration, arrange acceleration transducer in the exposed surface of building to be detected；Same position is repeatedly tapped with pulse hammer, shock wave is obtained by acceleration transducer, and shock wave response signal carries out spectrum analysis, obtains the measured value of preceding 3 ~ 5 order frequency and the corresponding modal vector of each order frequency；The finite element model for establishing fabric structure launches defect information based on intelligent optimization algorithm at random, 3 ~ 5 order frequencies and the corresponding modal vector of each order frequency before theoretical calculation；Construct objective function；Iteration updates defect information, makes the minimization of object function, until reaching convergence precision, is finally inversed by defects count, position and size.The present invention can be quickly found out quantity, position and the size of built construction object inside configuration defect by on-the-spot test, solve the difficulty of complex condition built construction object structure non-destructive testing, improve the service life and durability of fabric structure.
Description
Technical field
The present invention relates to building, hydraulic engineering structural health detection field, especially a kind of built construction object inside configuration
The lossless detection method of more defects.
Background technique
With the projectss to harness the Huaihe River such as the coastal great development of Jiangsu Province, China, project of South-to-North water diversion, Huaihe-Changjiang Waterway and outfall waterways
Construction, built many hydraulic engineerings (sluice, pumping plant and ship lock etc.) and water transport, marine engineering (harbour, dock).These knots
Structure belongs to the concealed work of underground mostly, usually after the completion of construction, can integrally be covered by subsequent construction, or only expose a small portion
Point.These structures are effectively detected, fabric structure inside defect that may be present is quickly detected and are repaired, it is ensured that its
Safe operation has become the hydraulic engineering built before most important problem, especially the seventies, since active time is long,
In addition quality problems present in reconnoitring, design and constructing at that time, aging and lesion problem are even more serious.In actual use really
The real example that the structure leak due to caused by internal flaw of multiple engineerings, even engineering failure also occurs, it is such as molten to contain heavy industry dock
Wall leak and Nantong favour give birth to dock engineering, and discovery has longitudinal crack and has infiltration phenomenon on ground-connecting-wall joint location lining wall
Deng, greatly affected engineering use, also become the potential security risk of engineering.For underground concealed engineering works structure
Quality testing, since construction, measuring technology means etc. limit, conventional structure defect detecting technique is difficult to quickly find inside configuration
Defect (crack).
Summary of the invention
Goal of the invention: in order to solve the problems, such as that built construction object inside configuration defects detection is difficult in the prior art, this hair
It is bright that a kind of lossless detection method of more defects of built construction object inside configuration is provided.
A kind of technical solution: lossless detection method of the more defects of built construction object inside configuration, comprising the following steps:
(1) acceleration transducer is arranged in the exposed surface of building to be detected；
(2) the same position that building to be detected is repeatedly tapped using pulse hammer, is impacted by acceleration transducer
Wave, shock wave response signal carry out spectrum analysis, obtain the survey of preceding 3~5 order frequency and the corresponding modal vector of each order frequency
Magnitude；
(3) finite element mesh model is established according to the geometric shape of building to be detected；
(4) defect information is launched based on intelligent optimization algorithm at random, the defect information includes position, size and quantity,
And 3~5 order frequencies and the corresponding modal vector of each order frequency before building to be detected are calculated based on extension finite element theory
Calculated value；
(5) according to the measured value and calculated value of preceding 3~5 order frequency and the corresponding modal vector of each order frequency, it is based on frequency
Residual sum modal criterion constructs objective function；
(6) defect information launched is updated by intelligent optimization algorithm iteration, makes the minimization of object function, until reaching receipts
Precision is held back, defects count, position and the size being finally inversed by inside fabric structure to be detected.
Further, step (1) includes:
(11) number for estimating greatest drawback that may be present in structure is N, and each defect waits for that the number of inverted parameters is
M determines that the quantity of acceleration transducer is equal to or more than N × M；
(12) site inspection building to be detected determines the point position of acceleration transducer, records point position and compiles
Number；
(13) gypsum is smeared as adhesive in each point position, acceleration transducer is installed.
Further, step (12) is equally spaced if including: the position that can predict defect in defect peripheral limit
Acceleration transducer；If the position of defect can not be predicted, acceleration transducer is equally spaced in the outer boundary of structure.
Further, in step (3), when establishing finite element mesh model according to the geometric shape of building to be detected, no
Consider the geometrical characteristic of inside configuration defect, and applies and the consistent geometrical boundary condition of field condition.
Further, in step (3), when establishing finite element mesh model, using the point position of acceleration transducer as
The unit node of finite element grid.
Further, in step (5), based on frequency residual sum modal criterion building objective function O (θ)
In formula, | | | |2The 2- norm of representation vector；NF and NM is the frequency order for calculating target function value respectively
With mode number；WithThe calculated value and measured value of respectively the i-th order frequency；WithRespectively jth order frequency corresponds to mould
The calculated value and measured value of state.
Further, in step (2), the same position of building to be detected is tapped at least three times using pulse hammer.
The utility model has the advantages that a kind of lossless detection method of more defects of built construction object inside configuration provided by the invention, passes through
On-the-spot test can be quickly found out quantity, position and the size of built construction object inside configuration defect (crack), solve complicated item
The difficulty of built construction object structure non-destructive testing under part, improves the service life and durability of fabric structure.
Detailed description of the invention
Fig. 1 is overall flow schematic diagram of the invention；
Fig. 2 is Defective structure body and its response test schematic diagram；
Fig. 3 is the finite element grid schematic diagram of Defective structure body.
Specific embodiment
The present invention will be further explained below with reference to the attached drawings and specific examples.
As shown in Figure 1, the lossless detection method of the more defects of built construction object inside configuration, comprising the following steps:
(1) building to be detected exposed surface arrange acceleration transducer, the determination of acceleration transducer number and
It installs as follows:
(1.1) referring to fig. 2, estimating defect number that may be present in structure is 2, each defect (with oval defect into
Row fitting) it to inverted parameters number is 5 (elliptical center coordinate, oval semi-major axis, oval semi-minor axis, ellipse declining angle), then accelerate
The arrangement quantity for spending sensor should be equal to or more than 10, ten acceleration transducers of the present embodiment choice arrangement.
(1.2) referring to fig. 2, site inspection building to be detected determines the point position of acceleration transducer, point position
It is equally spaced in the outer boundary of structure, if the position of defect can be predicted, can also be equally spaced in defect peripheral limit
Acceleration transducer；Record point position is simultaneously numbered；
(1.3) gypsum is smeared as adhesive in each point position, acceleration transducer is installed.
(2) the same position for using pulse hammer to tap building to be detected at least three times, is obtained by acceleration transducer
One wider shock wave of frequency band, shock wave response signal carry out spectrum analysis, obtain preceding 3~5 order frequency and each order frequency
The measured value of corresponding modal vector；
(3) referring to Fig. 1, the numerical analysis model of fabric structure is resettled；
The method for establishing the numerical analysis model of fabric structure is as follows:
Referring to Fig. 3, without considering the geometrical characteristic (position, size, quantity) of internal flaw, directly according to fabric structure
Geometric shape establish the finite element mesh model of fabric structure, and apply and the consistent geometrical boundary condition of field condition；
Using the point position of acceleration transducer as the unit node of finite element grid.
(4) it is launched at random defect information (position, size, quantity) based on intelligent optimization algorithm, and based on extension finite element
Preceding 3~5 order frequency of theoretical calculation building to be detected and the calculated value of the corresponding modal vector of each order frequency；
Such as: if greatest drawback quantity that may be present is n in structure, i-th of defect waits for that the parameter of inverting is θi, then n
A defect waits for that the parameter sets of inverting are
θ={ θ1, θ2, θ3..., θn}
When inverting ellipse defect, to inverted parameters θiFor
θi={ xei, yei, ai, bi, βi}
Wherein, (xei, yei) be i-th of oval defect center point coordinate；aiFor i-th of oval defect semi-major axis,
biFor the semi-minor axis of i-th of oval defect；β is the azimuth of i-th of oval defect, i.e. global coordinate system and local coordinate
Angle between system.By introducing variable κi(value of the variable is only 0 or 1) brings the quantity of defect into inverting point
Among analysis process, then finally it is to the parameter sets of inverting
θ={ θ1, κ1, θ2, κ2, θ3, κ3..., θn, κn}
These variables θ={ θ1, κ1, θ2, κ2, θ3, κ3..., θn, κnInitial value be random by intelligent optimization algorithm
It generates.
(5) according to the measured value and calculated value of preceding 3~5 order frequency and the corresponding modal vector of each order frequency, it is based on frequency
Residual sum modal criterion constructs objective function；
Wherein, based on frequency residual sum modal criterion building objective function O (θ) be
In formula, | | | |2The 2- norm of representation vector；NF and NM is the frequency order for calculating target function value respectively
With mode number；WithThe calculated value and measured value of respectively the i-th order frequency；WithRespectively jth order frequency corresponds to mould
The calculated value and measured value of state.
(6) defect information launched is updated by intelligent optimization algorithm iteration, makes the minimization of object function, until reaching receipts
Precision is held back, the defect information updated at this time is the oval defect parameters to inverting, thus can determine building knot to be detected
Defects count, position and size inside structure.
Such as: when updating the defect information launched using artificial bee colony algorithm intelligent optimization algorithm iteration, main includes adopting
Honeybee search phase, observation bee search phase and search bee search phase three phases iteration update the defect information launched,
That is undated parameter θ={ θ1, κ1, θ2, κ2, θ3, κ3..., θn, κn, it specifically includes:
(a) the gathering honey bee search phase.This stage gathering honey bee obtains optimization solution vector by neighborhood searchSearch for formula
For
In formula, k value is in { 1,2 ..., n }, and k ≠ i, k and i are generated at random；For the random number between (- 1,1).
The new position searched according to gathering honey beeAnd original positionIt calculates fitness function value f (θ), wherein f (θ)=1/O (θ), if
The f (θ) calculated according to new position is more excellent, then the location updating of the gathering honey bee is to new position, and otherwise position is constant.
(b) the bee search phase is observed.Observation bee according to adopt honeybee populations fitness value size selection one gathering honey bee, and
The search of new position is equally carried out in its neighborhood, and according to its position of Policy Updates identical with gathering honey bee.Nectar source is by observing bee
The probability calculation formula selected for
(c) the search bee search phase.Searching times reach a threshold value around the position of certain gathering honey bee, still do not have
When searching more preferably new position, gathering honey bee abandons current nectar source as search bee, and new nectar source is randomly generated in solution space.
Claims (7)
1. a kind of lossless detection method of the more defects of built construction object inside configuration, which comprises the following steps:
(1) acceleration transducer is arranged in the exposed surface of building to be detected；
(2) the same position that building to be detected is repeatedly tapped using pulse hammer obtains shock wave by acceleration transducer, right
Shock wave effect signal carries out spectrum analysis, obtains the measured value of preceding 3~5 order frequency and the corresponding modal vector of each order frequency；
(3) finite element mesh model is established according to the geometric shape of building to be detected；
(4) defect information is launched based on intelligent optimization algorithm at random, the defect information includes defective locations, size and quantity,
And 3~5 order frequencies and the corresponding modal vector of each order frequency before building to be detected are calculated based on extension finite element theory
Calculated value；
(5) according to the measured value and calculated value of preceding 3~5 order frequency and the corresponding modal vector of each order frequency, it is based on frequency residual error
Objective function is constructed with modal criterion；
(6) defect information launched is updated by intelligent optimization algorithm iteration, makes the minimization of object function, until reaching convergence essence
Degree, defects count, position and the size being finally inversed by inside fabric structure to be detected.
2. the lossless detection method of the more defects of built construction object inside configuration according to claim 1, which is characterized in that step
Suddenly (1) includes:
(11) number for estimating greatest drawback that may be present in structure is N, and each defect waits for that the number of inverted parameters is M, really
The quantity for determining acceleration transducer is equal to or more than N × M:
(12) site inspection building to be detected determines the point position of acceleration transducer, records point position and numbers；
(13) gypsum is smeared as adhesive in each point position, acceleration transducer is installed.
3. the lossless detection method of the more defects of built construction object inside configuration according to claim 2, which is characterized in that step
Suddenly (12) are equally spaced acceleration transducer in defect peripheral limit if including: the position that can predict defect；If can not
The position for predicting defect, then be equally spaced acceleration transducer in the outer boundary of structure.
4. the lossless detection method of the more defects of built construction object inside configuration according to claim 1, which is characterized in that step
Suddenly in (3), when establishing finite element mesh model according to the geometric shape of building to be detected, the several of inside configuration defect are not considered
What feature, and apply and the consistent geometrical boundary condition of field condition.
5. the lossless detection method of the more defects of built construction object inside configuration according to claim 1, which is characterized in that step
Suddenly in (3), when establishing finite element mesh model, using the point position of acceleration transducer as the unit knot of finite element grid
Point.
6. the lossless detection method of the more defects of built construction object inside configuration according to claim 1, which is characterized in that step
Suddenly in (5), based on frequency residual sum modal criterion building objective function O (θ)
In formula, | | | |2The 2- norm of representation vector；NF and NM is the frequency order and mould for calculating target function value respectively
State number；WithThe calculated value and measured value of respectively the i-th order frequency；WithRespectively jth order frequency corresponds to mode
Calculated value and measured value.
7. the lossless detection method of the more defects of built construction object inside configuration according to claim 1, which is characterized in that step
Suddenly in (2), the same position of building to be detected is tapped at least three times using pulse hammer.
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| CN111691358A (en) * | 2020-06-18 | 2020-09-22 | 河海大学 | Gravity dam apparent crack risk prediction method and system |
| CN111985126A (en) * | 2020-07-16 | 2020-11-24 | 河海大学 | Nondestructive testing method for internal multi-defects of concrete concealed engineering |
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Cited By (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111474300A (en) * | 2020-04-15 | 2020-07-31 | 同济大学 | Structure local defect detection method based on space-time regression model |
| CN111474300B (en) * | 2020-04-15 | 2021-04-30 | 同济大学 | Structure local defect detection method based on space-time regression model |
| CN111691358A (en) * | 2020-06-18 | 2020-09-22 | 河海大学 | Gravity dam apparent crack risk prediction method and system |
| CN111985126A (en) * | 2020-07-16 | 2020-11-24 | 河海大学 | Nondestructive testing method for internal multi-defects of concrete concealed engineering |
| CN111985126B (en) * | 2020-07-16 | 2024-04-05 | 河海大学 | Nondestructive testing method for multiple defects in concrete concealed engineering |
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