CN110346453A - Defect minispread reflection echo rapid detection method in a kind of concrete structure - Google Patents
Defect minispread reflection echo rapid detection method in a kind of concrete structure Download PDFInfo
- Publication number
- CN110346453A CN110346453A CN201910683975.1A CN201910683975A CN110346453A CN 110346453 A CN110346453 A CN 110346453A CN 201910683975 A CN201910683975 A CN 201910683975A CN 110346453 A CN110346453 A CN 110346453A
- Authority
- CN
- China
- Prior art keywords
- elastic wave
- spectrum analysis
- multiple tracks
- minispread
- data volume
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Granted
Links
Classifications
-
- 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
- G01N29/06—Visualisation of the interior, e.g. acoustic microscopy
- G01N29/0654—Imaging
- G01N29/069—Defect imaging, localisation and sizing using, e.g. time of flight diffraction [TOFD], synthetic aperture focusing technique [SAFT], Amplituden-Laufzeit-Ortskurven [ALOK] technique
-
- 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
- G01N29/46—Processing the detected response signal, e.g. electronic circuits specially adapted therefor by spectral analysis, e.g. Fourier analysis or wavelet analysis
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N2291/00—Indexing codes associated with group G01N29/00
- G01N2291/02—Indexing codes associated with the analysed material
- G01N2291/023—Solids
- G01N2291/0232—Glass, ceramics, concrete or stone
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N2291/00—Indexing codes associated with group G01N29/00
- G01N2291/02—Indexing codes associated with the analysed material
- G01N2291/028—Material parameters
- G01N2291/0289—Internal structure, e.g. defects, grain size, texture
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N2291/00—Indexing codes associated with group G01N29/00
- G01N2291/10—Number of transducers
- G01N2291/105—Number of transducers two or more emitters, two or more receivers
Abstract
The present invention relates to defect minispread reflection echo rapid detection methods in a kind of concrete structure, belong to engineering Inspection Technique field.The present invention is by an elastic wave vibration excitor and multiple pickup sensors by geometry permutation and combination at " minispread " detection device, elastic wave is generated by transient impact body structure surface by vibration excitor, pickup sensor receives to propagate elastic wave along medium, excitation forms homologous multiple tracks elastic wave data every time, " minispread " detection device synchronizing moving obtains multi-source multiple tracks elastic wave data volume;Truncation pretreatment successively is carried out to homologous multiple tracks elastic wave data, spectrum analysis normalizes, obtain multi-source multiple tracks spectrum analysis data volume, the heterologous spectrum analysis stacked data of multi-fold measuring point is multiplied again, obtain poststack spectrum analysis data volume, then, poststack spectrum analysis data volume time-histories is converted, spatial position mathematical interpolation, two-dimentional three-dimensional imaging, obtains testing result.The present invention improves system detection efficiency, reduces shock response subjective impact, improves detection accuracy.
Description
Technical field
The invention belongs to engineering Inspection Technique field, it is quick to be related to defect minispread reflection echo in a kind of concrete structure
Detection method.
Background technique
The construction material that concrete is widely used for a long time as one kind, is used in always various water conservancies and civil engineering etc.
In engineering project, the quality of the relationship between quality of concrete to entire engineering, so it is especially heavy just to seem to RC axial loading column
It wants.
The quality of concrete be it is highly important, the construction of the communal facilitys such as current building, rail traffic and highway is
Carry out comprehensively, ensures that their building security is very important.Non-destructive testing technology helps to assess the stability of building
And globality, quality state monitoring can be made in whole or in part to it, can be used to assess construction material and structure property and
Performance, and its interior moisture content, defect and damage can be measured and positioned.Therefore, in civil engineering, non-destructive testing skill
Art is ensureing people's lives and properties, evaluation and the safety of guarantee building, is even all playing to protection and the precious ancient building of maintenance
Important function.Have to concrete defect detection conventional method: unbearable detection method, electromagnetic radar method, x-ray method, ultrasound are right
Survey method, ultrasonic pulse-echo method, Impact echo etc..Unbearable detection method is to damage detection, and electromagnetic wave, radar method are by inside concrete steel
The metal objects such as muscle influence serious, and x-ray method valuableness is unfavorable for commonly used, and ultrasound needs two detection faces to the method for survey, and tests
Preceding preparatory label point position pastes couplant, detection efficiency bottom, these technology and methods are difficult to meet Practical Project requirement.And
Ultrasonic pulse-echo method, Impact echo non-destructive testing have been applied to detect concrete defect as traditional and novel detection method
In sunken engineering, main feature is as follows:
(1) ultrasonic pulse-echo method: any point in ultrasonic sound field space in one's power, all there is an infrasounds (to enter
Penetrate sound wave) and two infrasounds (shear wave after back wave, refracting acoustic waves and shape transformation), energy converter received signal is primary
Sound wave and two infrasonic superpositions.By studying the energy of reflection echo signal to analyze inside concrete.But
Due to the interference of the aftershock of energy converter, surface wave etc., the ski-jump of back wave is not easy to be identified.
(2) Impact echo: stress wave is generated using an instantaneous manually or mechanically punching, in stress wave propagation to structure
Portion is reflected by blemish surface, and stress wave generates transient state resonance in component surface, internal flaw surface roundtrip, is passed through
Time-domain analysis and frequency-domain analysis are carried out to the stress wave being reflected back, just can determine that the depth of inside configuration defect.But this method
The single channel of use acquires, and data volume is few, and detection efficiency is low, and manually or mechanically punching generates stress wave by subjective and objective factor shadow
It rings, testing result discreteness is big, and effect is undesirable.
Therefore, identified defect, impact echo are not easy based on the big ski-jump of interference of reflected wave in existing ultrasonic pulse-echo method
Method single channel acquisition data volume lacks the problems such as testing result discreteness is big, and the present invention proposes that a kind of new detection method is surveyed to improve
Point data amount, degree of covering and detection efficiency, multiple dimensioned, reduction excitation, surface wave interference are introduced by detection device, and raising is scarce
Echo frequency ski-jump recognition capability is fallen into, thus accurately defect in concrete at detection.
Summary of the invention
In view of this, the purpose of the present invention is to provide defect minispread reflection echos in a kind of concrete structure quickly to examine
Survey method, using " minispread " quick detection pattern and data processing method, change single channel observation system detection efficiency is low, counts
According to few problem is measured, shock response subjective impact is reduced, promotes detection accuracy.
In order to achieve the above objectives, the invention provides the following technical scheme:
Defect minispread reflection echo rapid detection method in a kind of concrete structure, specifically includes the following steps:
S1: elastic wave vibration excitor is mounted on the same detection by identical geometric scale permutation and combination with pickup sensor and is filled
It sets, wave excitation device is motivated by transient state generates elastic wave, and pickup sensor receives to propagate elastic wave along medium, and S indicates elasticity
Wave excitation device, R indicate pickup sensor;
S2: detection device is mobile in concrete structural surface to be measured, and elastic wave vibration excitor is synchronous with pickup sensor at this time
Work, elastic wave vibration excitor motivates every time forms homologous multiple tracks elastic wave data, and repeatedly excitation forms multi-source multiple tracks elasticity wave number
According to bodyI is pickup sensor number, and j is elastic wave vibration excitor number excitation number, and j=1,2 ... ..., n, n are bullet
Property vibration excitor total quantity, k be measuring point number;
S3: successively pre-processing homologous multiple tracks elastic wave data, and spectrum analysis normalization obtains multi-source multiple tracks spectrum analysis
Data volume;
S4: the heterologous spectrum analysis stacked data of multi-fold measuring point is multiplied, poststack spectrum analysis data volume is obtained;
S5: converting poststack spectrum analysis data volume time-histories, carries out two dimension or three-dimensional imaging by spatial position mathematical interpolation,
Obtain testing result.
Further, in the step S1, elastic wave vibration excitor and pickup sensor are according to one-to-many or many-to-one number
Amount is installed on detection means by identical geometric scale permutation and combination.
Further, in the step S3, carrying out truncation pretreatment to homologous multiple tracks elastic wave data reduces homologous multiple tracks bullet
Property wave number according in direct wave, surface wave and sound wave interference.
Further, in the step S3, successively multiple tracks elastic wave data spectrum analysis homologous after pretreatment is normalized, is obtained
Multi-source multiple tracks spectrum analysis data volume
Wherein FRIt (f) is spectrum analysis as a result, X is spectral transformation, Γ is normalization.
Further, in the step S4, the heterologous spectrum analysis stacked data of multi-fold measuring point is multiplied, poststack spectrum analysis number is obtained
According to bodyAre as follows:
WhereinMultiply for m covering of k measuring point spectrum is folded as a result, m is measuring point degree of covering, κ is correction factor.
Further, the step S5 includes: first by poststack spectrum analysis data volumeTime-histories conversionWherein z=
μ V/f, z are detection depth, and μ is coefficient, and V is spread speed;Then by data volumePass through mathematics by measuring point coordinate (x, y)
Interpolation obtainsThree-dimensional or two-dimensional imaging is carried out again, obtains testing result.
The beneficial effects of the present invention are: the present invention, to the method for survey, does not need multiple detection faces with respect to ultrasonic wave;It is relatively ultrasonic
Popin surveys method, it may be determined that interior defective locations;Opposite geological radar method, is not influenced by metal objects such as internal reinforcing bars;Tradition is super relatively
Sound echo method and Impact echo, " minispread " proposed by the present invention quick detection pattern and data processing method, change single-pass
The problem that road observation system detection efficiency is low, data volume is few reduces shock response subjective impact and surface wave interference, improves and lacks
Echo frequency ski-jump recognition capability is fallen into, and then improves detection accuracy.
Other advantages, target and feature of the invention will be illustrated in the following description to a certain extent, and
And to a certain extent, based on will be apparent to those skilled in the art to investigating hereafter, Huo Zheke
To be instructed from the practice of the present invention.Target of the invention and other advantages can be realized by following specification and
It obtains.
Detailed description of the invention
To make the objectives, technical solutions, and advantages of the present invention clearer, the present invention is made below in conjunction with attached drawing excellent
The detailed description of choosing, in which:
Fig. 1 is the flow chart of detection method of the present invention;
Fig. 2 is the concrete structure schematic diagram of detection device shown in Fig. 3 (a);
Fig. 3 is the schematic diagram of " minispread " detection device in embodiment;
Fig. 4 is the operation schematic diagram of detection device shown in Fig. 3 (a);
Fig. 5 is the homologous multichannel elastic wave data acquired using detection device shown in Fig. 3 (a);
Fig. 6 is the pretreatment schematic diagram to elastic wave data shown in Fig. 5;
Fig. 7 is the inside two-dimensional imaging schematic diagram of detection structure.
Specific embodiment
Illustrate embodiments of the present invention below by way of specific specific example, those skilled in the art can be by this specification
Other advantages and efficacy of the present invention can be easily understood for disclosed content.The present invention can also pass through in addition different specific realities
The mode of applying is embodied or practiced, the various details in this specification can also based on different viewpoints and application, without departing from
Various modifications or alterations are carried out under spirit of the invention.It should be noted that diagram provided in following embodiment is only to show
Meaning mode illustrates basic conception of the invention, and in the absence of conflict, the feature in following embodiment and embodiment can phase
Mutually combination.
Wherein, the drawings are for illustrative purposes only and are merely schematic diagrams, rather than pictorial diagram, should not be understood as to this
The limitation of invention;Embodiment in order to better illustrate the present invention, the certain components of attached drawing have omission, zoom in or out, not
Represent the size of actual product;It will be understood by those skilled in the art that certain known features and its explanation may be omitted and be in attached drawing
It is understood that.
Referring to Fig. 1, for defect minispread reflection echo rapid detection method in a kind of concrete structure, specifically include with
Lower step:
1) an elastic wave vibration excitor and multiple pickup sensors press geometric scale permutation and combination " minispread " detection device,
Vibration excitor is motivated by transient state generates elastic wave, and pickup sensor receives to propagate elastic wave along medium, and S is elastic wave vibration excitor, R
For pickup sensor, being illustrated in fig. 3 shown below spread pattern, (Fig. 2 is the concrete structure schematic diagram of Fig. 3 (a), and Fig. 4 is shown in Fig. 3 (a)
The operation schematic diagram of detection device), the quantity of vibration excitor and pickup sensor can thickness and material according to reality to geodesic structure
Carry out one-to-many or many-to-one combination.
2) detection device synchronizing moving, elastic wave vibration excitor works asynchronously with pickup sensor at this time, elastic wave vibration excitor
Excitation forms homologous multiple tracks elastic wave data every time, and repeatedly excitation forms multi-source multiple tracks elastic wave data volumeI is pick-up
Sensor number, j are elastic wave vibration excitor number excitation number, and j=1,2 ... ..., n, n is elastic vibration exciter total quantity, this reality
Apply a n=3;K is measuring point number.
3) as shown in fig. 6, successively pre-processing to homologous multiple tracks elastic wave data shown in Fig. 5, direct wave, face are reduced
Wave, sound wave etc. interfere wave action.
4) successively multiple tracks elastic wave data spectrum analysis homologous after pretreatment is normalized, obtains multi-source multiple tracks spectrum analysis data
Body
Wherein FRIt (f) is spectrum analysis as a result, X is spectral transformation, Γ is normalization.
5) the heterologous spectrum analysis stacked data of multi-fold measuring point is multiplied, obtains poststack spectrum analysis data volumeAre as follows:
WhereinMultiply for m covering of k measuring point spectrum is folded as a result, m is measuring point degree of covering, κ is correction factor.
6) by poststack spectrum analysis data volumeTime-histories conversionWherein z=μ V/f, z are detection depth, and μ is to be
Number, V is spread speed.
7) by data volumeIt is obtained by measuring point coordinate (x, y) by mathematical interpolationThree-dimensional or two are carried out again
Dimension imaging, as shown in fig. 7, two-dimensional imaging when y=0, obtains testing result.
Finally, it is stated that the above examples are only used to illustrate the technical scheme of the present invention and are not limiting, although referring to compared with
Good embodiment describes the invention in detail, those skilled in the art should understand that, it can be to skill of the invention
Art scheme is modified or replaced equivalently, and without departing from the objective and range of the technical program, should all be covered in the present invention
Scope of the claims in.
Claims (6)
1. defect minispread reflection echo rapid detection method in a kind of concrete structure, which is characterized in that this method is specifically wrapped
Include following steps:
S1: elastic wave vibration excitor is mounted on the same detection device by identical geometric scale permutation and combination with pickup sensor
On, vibration excitor is motivated by transient state generates elastic wave, and pickup sensor receives to propagate elastic wave along medium, and S indicates that elastic wave swashs
Shake device, and R indicates pickup sensor;
S2: detection device is mobile in concrete structural surface to be measured, and elastic wave vibration excitor works asynchronously with pickup sensor at this time,
Elastic wave vibration excitor motivates every time forms homologous multiple tracks elastic wave data, and repeatedly excitation forms multi-source multiple tracks elastic wave data volumeI is pickup sensor number, and j is elastic wave vibration excitor number excitation number, and j=1,2 ... ..., n, n is that elasticity swashs
Vibration device total quantity;K is measuring point number;
S3: successively pre-processing homologous multiple tracks elastic wave data, and spectrum analysis normalization obtains multi-source multiple tracks spectrum analysis data
Body;
S4: the heterologous spectrum analysis stacked data of multi-fold measuring point is multiplied, poststack spectrum analysis data volume is obtained;
S5: converting poststack spectrum analysis data volume time-histories, carries out two dimension or three-dimensional imaging by spatial position mathematical interpolation, obtains
Testing result.
2. defect minispread reflection echo rapid detection method in a kind of concrete structure according to claim 1, special
Sign is, in the step S1, elastic wave vibration excitor is pressed with pickup sensor according to one-to-many or many-to-one quantity identical
Geometric scale permutation and combination is installed on detection means.
3. defect minispread reflection echo rapid detection method in a kind of concrete structure according to claim 1, special
Sign is, in the step S3, carries out truncation pretreatment to homologous multiple tracks elastic wave data, reduces homologous multiple tracks elastic wave data
In direct wave, surface wave and sound wave interference.
4. defect minispread reflection echo rapid detection method in a kind of concrete structure according to claim 1, special
Sign is, in the step S3, successively normalizes to multiple tracks elastic wave data spectrum analysis homologous after pretreatment, obtains multi-source multiple tracks
Spectrum analysis data volume
Wherein FRIt (f) is spectrum analysis as a result, X is spectral transformation, Γ is normalization.
5. defect minispread reflection echo rapid detection method in a kind of concrete structure according to claim 4, special
Sign is, in the step S4, the heterologous spectrum analysis stacked data of multi-fold measuring point is multiplied, poststack spectrum analysis data volume is obtainedAre as follows:
WhereinMultiply for m covering of k measuring point spectrum is folded as a result, m is measuring point degree of covering, κ is correction factor.
6. defect minispread reflection echo rapid detection method in a kind of concrete structure according to claim 5, special
Sign is that the step S5 includes: first by poststack spectrum analysis data volumeTime-histories conversionWherein z=μ V/f, z are
Depth is detected, μ is coefficient, and V is spread speed;Then by data volumeIt is obtained by measuring point coordinate (x, y) by mathematical interpolationThree-dimensional or two-dimensional imaging is carried out again, obtains testing result.
Priority Applications (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201910683975.1A CN110346453B (en) | 2019-07-26 | 2019-07-26 | Method for rapidly detecting reflection echoes of small defect arrays in concrete structure |
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201910683975.1A CN110346453B (en) | 2019-07-26 | 2019-07-26 | Method for rapidly detecting reflection echoes of small defect arrays in concrete structure |
Publications (2)
Publication Number | Publication Date |
---|---|
CN110346453A true CN110346453A (en) | 2019-10-18 |
CN110346453B CN110346453B (en) | 2021-10-26 |
Family
ID=68180456
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
CN201910683975.1A Active CN110346453B (en) | 2019-07-26 | 2019-07-26 | Method for rapidly detecting reflection echoes of small defect arrays in concrete structure |
Country Status (1)
Country | Link |
---|---|
CN (1) | CN110346453B (en) |
Cited By (6)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN112432751A (en) * | 2020-10-28 | 2021-03-02 | 华南理工大学 | Excitation and wave jet flow transmission detection device for mobile power detection |
CN112525998A (en) * | 2020-11-11 | 2021-03-19 | 中铁第四勘察设计院集团有限公司 | Wall quality detection method and device |
CN113237948A (en) * | 2021-04-16 | 2021-08-10 | 中国三峡建设管理有限公司 | Concrete pouring process monitoring device and method |
CN114034734A (en) * | 2021-09-22 | 2022-02-11 | 山西省交通科技研发有限公司 | Elastic wave method-based concrete high-temperature damage assessment method |
CN114397365A (en) * | 2022-01-13 | 2022-04-26 | 南京市城市建设投资控股(集团)有限责任公司 | Method for detecting structural defects of steel concrete by ultrasonic waves |
CN116893222A (en) * | 2023-08-29 | 2023-10-17 | 铁正检测科技有限公司 | Railway tunnel concrete defect impact echo wave detection method based on artificial intelligence |
Citations (12)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US6192751B1 (en) * | 1997-11-18 | 2001-02-27 | Scientific Solutions, Inc. | Non-invasive low frequency elastic wave fluid level sensing system for sludge laden environments |
CN102027386A (en) * | 2008-01-09 | 2011-04-20 | 海浪科技有限公司 | Nonlinear elastic imaging with two-frequency elastic pulse complexes |
US20110286304A1 (en) * | 2010-04-06 | 2011-11-24 | Varel Europe S.A.S. | Downhole Acoustic Emission Formation Sampling |
CN103018337A (en) * | 2012-12-25 | 2013-04-03 | 上海交通大学 | Surface wave-based nondestructive testing method and system for internal concrete state |
CN103245968A (en) * | 2013-04-23 | 2013-08-14 | 朱德兵 | Rolling type motion sensor device and using method thereof |
CN103278558A (en) * | 2012-12-10 | 2013-09-04 | 重庆交通大学 | Anchoring system nondestructive test apparatus and method based on magnetic induced shrinkage or elongation |
US20140339957A1 (en) * | 2013-05-14 | 2014-11-20 | Taiyo Yuden Co., Ltd. | Acoustic wave device and method of fabricating the same |
KR101635950B1 (en) * | 2015-05-13 | 2016-07-04 | 한국건설기술연구원 | Apparatus and Method for Non-contact Measurement of Concrete Strength Ultrasonic Waves |
CN106124623A (en) * | 2016-06-20 | 2016-11-16 | 哈尔滨理工大学 | Sheet metal micro-crack identification and alignment system and detection method based on this system |
CN108398487A (en) * | 2018-02-01 | 2018-08-14 | 河海大学 | One kind being based on array Elastic Wave Technique concrete defect detection method |
CN108593769A (en) * | 2018-03-05 | 2018-09-28 | 四川升拓检测技术股份有限公司 | Utilize the normalized signal exciting lossless detection method of multi-way contral elastic wave |
CN109187740A (en) * | 2018-07-13 | 2019-01-11 | 贵州绿源天鑫系统技术有限公司 | A kind of multifrequency multiple spot ultrasonic guided wave detecting method of defect of pipeline |
-
2019
- 2019-07-26 CN CN201910683975.1A patent/CN110346453B/en active Active
Patent Citations (12)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US6192751B1 (en) * | 1997-11-18 | 2001-02-27 | Scientific Solutions, Inc. | Non-invasive low frequency elastic wave fluid level sensing system for sludge laden environments |
CN102027386A (en) * | 2008-01-09 | 2011-04-20 | 海浪科技有限公司 | Nonlinear elastic imaging with two-frequency elastic pulse complexes |
US20110286304A1 (en) * | 2010-04-06 | 2011-11-24 | Varel Europe S.A.S. | Downhole Acoustic Emission Formation Sampling |
CN103278558A (en) * | 2012-12-10 | 2013-09-04 | 重庆交通大学 | Anchoring system nondestructive test apparatus and method based on magnetic induced shrinkage or elongation |
CN103018337A (en) * | 2012-12-25 | 2013-04-03 | 上海交通大学 | Surface wave-based nondestructive testing method and system for internal concrete state |
CN103245968A (en) * | 2013-04-23 | 2013-08-14 | 朱德兵 | Rolling type motion sensor device and using method thereof |
US20140339957A1 (en) * | 2013-05-14 | 2014-11-20 | Taiyo Yuden Co., Ltd. | Acoustic wave device and method of fabricating the same |
KR101635950B1 (en) * | 2015-05-13 | 2016-07-04 | 한국건설기술연구원 | Apparatus and Method for Non-contact Measurement of Concrete Strength Ultrasonic Waves |
CN106124623A (en) * | 2016-06-20 | 2016-11-16 | 哈尔滨理工大学 | Sheet metal micro-crack identification and alignment system and detection method based on this system |
CN108398487A (en) * | 2018-02-01 | 2018-08-14 | 河海大学 | One kind being based on array Elastic Wave Technique concrete defect detection method |
CN108593769A (en) * | 2018-03-05 | 2018-09-28 | 四川升拓检测技术股份有限公司 | Utilize the normalized signal exciting lossless detection method of multi-way contral elastic wave |
CN109187740A (en) * | 2018-07-13 | 2019-01-11 | 贵州绿源天鑫系统技术有限公司 | A kind of multifrequency multiple spot ultrasonic guided wave detecting method of defect of pipeline |
Non-Patent Citations (3)
Title |
---|
B. YA. KOTYUZHANSKII ET AL: "Relaxation of magnetoelastic waves in antiferromagnetic FeBOs", 《SOV. PHYS. JETP》 * |
徐宏武 等: ""基于冲击回波等效厚度法的预应力管道压浆密实度无损检测技术研究"", 《公路交通技术》 * |
耿嘉楠: ""小排列弹性波超前探测与行波分离"", 《中国优秀硕士学位论文全文数据库 工程科技Ⅱ辑》 * |
Cited By (9)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN112432751A (en) * | 2020-10-28 | 2021-03-02 | 华南理工大学 | Excitation and wave jet flow transmission detection device for mobile power detection |
CN112432751B (en) * | 2020-10-28 | 2022-07-26 | 华南理工大学 | Excitation and wave jet flow transmission detection device for mobile power detection |
CN112525998A (en) * | 2020-11-11 | 2021-03-19 | 中铁第四勘察设计院集团有限公司 | Wall quality detection method and device |
CN113237948A (en) * | 2021-04-16 | 2021-08-10 | 中国三峡建设管理有限公司 | Concrete pouring process monitoring device and method |
CN114034734A (en) * | 2021-09-22 | 2022-02-11 | 山西省交通科技研发有限公司 | Elastic wave method-based concrete high-temperature damage assessment method |
CN114397365A (en) * | 2022-01-13 | 2022-04-26 | 南京市城市建设投资控股(集团)有限责任公司 | Method for detecting structural defects of steel concrete by ultrasonic waves |
CN114397365B (en) * | 2022-01-13 | 2024-04-09 | 南京市城市建设投资控股(集团)有限责任公司 | Method for detecting defects of steel concrete structure by ultrasonic waves |
CN116893222A (en) * | 2023-08-29 | 2023-10-17 | 铁正检测科技有限公司 | Railway tunnel concrete defect impact echo wave detection method based on artificial intelligence |
CN116893222B (en) * | 2023-08-29 | 2024-04-09 | 铁正检测科技有限公司 | Railway tunnel concrete defect impact echo wave detection method based on artificial intelligence |
Also Published As
Publication number | Publication date |
---|---|
CN110346453B (en) | 2021-10-26 |
Similar Documents
Publication | Publication Date | Title |
---|---|---|
CN110346453A (en) | Defect minispread reflection echo rapid detection method in a kind of concrete structure | |
Beniwal et al. | Defect detection around rebars in concrete using focused ultrasound and reverse time migration | |
Schickert et al. | Ultrasonic imaging of concrete elements using reconstruction by synthetic aperture focusing technique | |
Larose et al. | Locating and characterizing a crack in concrete with diffuse ultrasound: A four-point bending test | |
CN104007176B (en) | Full-wave field detection system and method of complex geotechnical engineering medium | |
CN102680575B (en) | A kind of impact mapping method of Complicate soil medium and system | |
Zhu | Non-contact NDT of concrete structures using air coupled sensors | |
Chekroun et al. | Analysis of coherent surface wave dispersion and attenuation for non-destructive testing of concrete | |
CN103018337A (en) | Surface wave-based nondestructive testing method and system for internal concrete state | |
Ganguli et al. | Synthetic aperture imaging for flaw detection in a concrete medium | |
Grohmann et al. | Geometry determination of a foundation slab using the ultrasonic echo technique and geophysical migration methods | |
CN104360046A (en) | Comprehensive geophysical-prospecting combined diagnosis method for hidden danger inside wharf concrete structure | |
CN106546661B (en) | A kind of interference ultrasonic synthetic aperture is to inside concrete imaging method | |
Liu et al. | Spectral tomography of concrete structures based on impact echo depth spectra | |
Zerwer et al. | Detection of surface breaking cracks in concrete members using Rayleigh waves | |
Lin et al. | Estimation of wave velocity for ultrasonic imaging of concrete structures based on dispersion analysis | |
Li et al. | Quantitative imaging of surface cracks in polymer bonded explosives by surface wave tomographic approach | |
CN102759491A (en) | Rockfill compaction density measurement method and device | |
Wu et al. | Two-step detection of concrete internal condition using array ultrasound and deep learning | |
Planès et al. | LOCADIFF: Locating a weak change with diffuse ultrasound | |
CN108508093A (en) | A kind of detection method and system of workpiece, defect height | |
Antonio Jr et al. | Ultrasonic imaging of concrete by synthetic aperture focusing technique based on hilbert-huang transform of time domain data | |
Chang et al. | Feasibility of detecting embedded cracks in concrete structures by reflection seismology | |
Suryono et al. | Ultrasonic computed tomography system for concrete inspection | |
Lee et al. | Imaging defects in concrete structures using accumulated SIBIE |
Legal Events
Date | Code | Title | Description |
---|---|---|---|
PB01 | Publication | ||
PB01 | Publication | ||
SE01 | Entry into force of request for substantive examination | ||
SE01 | Entry into force of request for substantive examination | ||
GR01 | Patent grant | ||
GR01 | Patent grant |