CN106932485A - Prestressed tendon corrosion depth monitoring method based on piezoelectric intelligent aggregate - Google Patents
Prestressed tendon corrosion depth monitoring method based on piezoelectric intelligent aggregate Download PDFInfo
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- CN106932485A CN106932485A CN201710099780.3A CN201710099780A CN106932485A CN 106932485 A CN106932485 A CN 106932485A CN 201710099780 A CN201710099780 A CN 201710099780A CN 106932485 A CN106932485 A CN 106932485A
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- 238000005260 corrosion Methods 0.000 title claims abstract description 42
- 230000007797 corrosion Effects 0.000 title claims abstract description 41
- 238000012544 monitoring process Methods 0.000 title claims abstract description 22
- 238000000034 method Methods 0.000 title claims abstract description 20
- 210000002435 tendon Anatomy 0.000 title abstract description 3
- 238000004458 analytical method Methods 0.000 claims abstract description 5
- 229910001294 Reinforcing steel Inorganic materials 0.000 claims description 45
- 239000000919 ceramic Substances 0.000 claims description 33
- 230000035515 penetration Effects 0.000 claims description 11
- 239000004567 concrete Substances 0.000 claims description 10
- 238000007789 sealing Methods 0.000 claims description 7
- 230000008859 change Effects 0.000 claims description 5
- 238000001514 detection method Methods 0.000 claims description 5
- 210000003205 muscle Anatomy 0.000 claims description 5
- 238000004364 calculation method Methods 0.000 claims description 3
- 239000004568 cement Substances 0.000 claims description 3
- 238000013461 design Methods 0.000 claims description 3
- 230000005284 excitation Effects 0.000 claims description 3
- 238000004873 anchoring Methods 0.000 claims description 2
- 238000013480 data collection Methods 0.000 claims 1
- 238000012423 maintenance Methods 0.000 claims 1
- 239000011513 prestressed concrete Substances 0.000 abstract description 8
- 238000000354 decomposition reaction Methods 0.000 abstract description 4
- 230000008901 benefit Effects 0.000 abstract description 2
- 229910000831 Steel Inorganic materials 0.000 description 4
- 238000005516 engineering process Methods 0.000 description 4
- 239000010959 steel Substances 0.000 description 4
- 230000003862 health status Effects 0.000 description 3
- 238000005336 cracking Methods 0.000 description 2
- 230000036541 health Effects 0.000 description 2
- 230000008569 process Effects 0.000 description 2
- 230000009471 action Effects 0.000 description 1
- 238000013459 approach Methods 0.000 description 1
- QVGXLLKOCUKJST-UHFFFAOYSA-N atomic oxygen Chemical compound [O] QVGXLLKOCUKJST-UHFFFAOYSA-N 0.000 description 1
- 230000005540 biological transmission Effects 0.000 description 1
- 239000011083 cement mortar Substances 0.000 description 1
- 238000010276 construction Methods 0.000 description 1
- 238000011161 development Methods 0.000 description 1
- 230000000694 effects Effects 0.000 description 1
- 230000003628 erosive effect Effects 0.000 description 1
- 238000011156 evaluation Methods 0.000 description 1
- 239000003292 glue Substances 0.000 description 1
- JEIPFZHSYJVQDO-UHFFFAOYSA-N iron(III) oxide Inorganic materials O=[Fe]O[Fe]=O JEIPFZHSYJVQDO-UHFFFAOYSA-N 0.000 description 1
- 239000007788 liquid Substances 0.000 description 1
- 239000000463 material Substances 0.000 description 1
- 239000008267 milk Substances 0.000 description 1
- 210000004080 milk Anatomy 0.000 description 1
- 235000013336 milk Nutrition 0.000 description 1
- 229910052760 oxygen Inorganic materials 0.000 description 1
- 239000001301 oxygen Substances 0.000 description 1
- 230000000644 propagated effect Effects 0.000 description 1
- 239000011150 reinforced concrete Substances 0.000 description 1
- 239000002002 slurry Substances 0.000 description 1
- 239000002689 soil Substances 0.000 description 1
- 238000012546 transfer Methods 0.000 description 1
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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
- G01N29/11—Analysing solids by measuring attenuation of acoustic waves
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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
- G01N29/22—Details, e.g. general constructional or apparatus details
- G01N29/24—Probes
- G01N29/2437—Piezoelectric probes
- G01N29/245—Ceramic probes, e.g. lead zirconate titanate [PZT] probes
-
- 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
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- 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
- G01N2291/01—Indexing codes associated with the measuring variable
- G01N2291/015—Attenuation, scattering
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- 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
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- Physics & Mathematics (AREA)
- Chemical & Material Sciences (AREA)
- Immunology (AREA)
- Biochemistry (AREA)
- Pathology (AREA)
- Health & Medical Sciences (AREA)
- Life Sciences & Earth Sciences (AREA)
- Engineering & Computer Science (AREA)
- Analytical Chemistry (AREA)
- General Physics & Mathematics (AREA)
- General Health & Medical Sciences (AREA)
- Signal Processing (AREA)
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- Spectroscopy & Molecular Physics (AREA)
- Ceramic Engineering (AREA)
- Acoustics & Sound (AREA)
- Testing Resistance To Weather, Investigating Materials By Mechanical Methods (AREA)
Abstract
The invention discloses a prestressed tendon corrosion depth monitoring method based on piezoelectric intelligent aggregate, which adopts wavelet packet energy to carry out analysis and judgment, takes the wavelet packet energy after wavelet packet decomposition as a variable and calculates RMSD values of stress wave energy in different states and stress wave energy in a healthy state. The method has the advantages of low cost, simple and convenient operation, almost no influence of external factors on the monitoring process, capability of accurately determining the internal corrosion depth of the prestressed concrete and providing reliable basis for structural safety assessment.
Description
Technical field
It is specifically a kind of based on the pre- of piezoelectric intelligent aggregate the present invention relates to civil engineering works structure health monitoring technical field
Prestressed concrete structure corrosion penetration monitoring method.
Background technology
Due to the use of high tensile steel wire, prestressed concrete is big with its deadweight relatively light, rigidity and antidetonation, cracking resistance stitch performance
Good advantage and be widely used in Practical Project.However, in recent decades, occurring in that many prestressed concrete knots
The accident of structure failure, to find out its cause, major part is due to durability damage, and presstressed reinforcing steel corrosion, it is to cause prestressed concrete
The Main Patterns of native durability damage.In prestressed reinforced concrete construction is chronically at perishable environment, steel strand wires can become rusty
Erosion, its corrosion product will attach to rebar surface, and volume is up to 2~6 times of original volume, the mechanics such as steel strand wires intensity and elongation
Performance can degenerate because of action of rust, so as to influence structure safety.
At present, the method to prestressed concrete health monitoring mainly has the skills such as supercritical ultrasonics technology, acoustic-emission, raster method
Art, it is big, higher to operating personnel's experimental technology requirement all to there is expensive equipment price, monitoring process complexity, volume in these technologies
And easily it is affected by environment and monitoring position in accessible scope the shortcomings of.It is crucial that these monitoring methods are mainly for mixed
Solidifying soil cracking seam, restricted application.
The content of the invention
The technical problems to be solved by the invention are, in view of the shortcomings of the prior art, providing a kind of based on piezoelectric intelligent aggregate
Presstressed reinforcing steel corrosion penetration monitoring method.
In order to solve the above technical problems, the technical solution adopted in the present invention is：It is a kind of based on the pre- of piezoelectric intelligent aggregate
Stress rib corrosion penetration monitoring method, comprises the following steps：
1) to the relevant position of presstressed reinforcing steel and data line is drawn by intelligent aggregate is pre-buried, from apart from presstressed reinforcing steel anchor
The nearest intelligent aggregate in end starts, to intelligent aggregate number consecutively；
2) it is d in internal diameter, external diameter is D, and wall thickness nominal value is the circular prestressing force bellows inner stretch-draw prestressing force muscle of H, pressure
Slurry, natural curing, sealing off and covering anchorage after-pouring concrete makes concrete and is used as beam body component；
3) sealing off and covering anchorage is carried out to beam body member anchoring end, piezoelectric ceramic piece is pasted on presstressed reinforcing steel termination, the piezoelectric ceramics
Piece carries out signal excitation as driver；
4) in step 3) after the beam body component that makes reaches design strength, pre-buried intelligent aggregate and prestressing force will be pasted on
The piezoelectric ceramic piece of muscle termination is connected by BNC connector with multifunctional data acquiring equipment, while by computer and multi-functional number
Connected according to collecting device；
5) multifunctional data acquiring device drives piezoelectric ceramic piece sends sine sweep signal, while multifunctional data acquiring
The signal that the piezoelectric ceramic piece that equipment collection intelligent aggregate is received sends；
6) signal received to intelligent aggregate carries out wavelet-packet energy analysis, and the result for obtaining is used as initial energy value
Eh,j；
7) beam body component need detection when, according to step 4)~step 6) method collection signal, and utilize the signal
Calculate ENERGY E when needing detectioni,j, then calculate damage criterion I：
When I levels off to 0, illustrate that presstressed reinforcing steel does not occur corrosion, conversely, when I levels off to 1, corrosion degree is more serious；N is
The series of WAVELET PACKET DECOMPOSITION；
8) the damage criterion I of each intelligent aggregate that analytical calculation is longitudinally arranged along beam body component, it is determined that in piezoelectric ceramics
The corrosion situation of presstressed reinforcing steel between piece and intelligent aggregate, so that it is determined that the corrosion penetration of presstressed reinforcing steel.
Step 1) in, internal diameter d is 60mm, and outer diameter D is 73mm, and wall thickness nominal value H is 2.5mm.
Step 1) in, a diameter of 15.2mm of presstressed reinforcing steel.
Step 3) in, after piezoelectric ceramic piece is pasted on into presstressed reinforcing steel termination, covered with AB rubber cements piezoelectric ceramic piece.
Step 5) in, sine sweep signal frequency is 100Hz-150kHz, and amplitude is 10V.
Compared with prior art, the advantageous effect of present invention is that：The present invention is with low cost, simple to operate,
Monitoring process is hardly influenceed by extraneous factor, accurate can determine prestressed concrete internal corrosion depth profile, is
Evaluation of structural safety provides reliable foundation.
Brief description of the drawings
Fig. 1 is monitoring system structure chart of the present invention；
Fig. 2 is straight line bellows monitoring principle figure of the present invention；
Fig. 3 is curve bellows monitoring principle figure of the present invention；
Fig. 4 is the drawing that piezoelectric ceramic piece of the present invention is pasted on presstressed reinforcing steel；
Fig. 5 is drawing after presstressed reinforcing steel corrosion of the present invention；
Wherein, 1.-intelligent aggregate；2.-piezoelectric ceramic piece；3.-end anchor；4.-prestress pipe；5.-concrete；6.-pre-
Stress rib；7.-grouting material；8.-corrosion product.
Specific embodiment
In prestressed concrete, the situation of presstressed reinforcing steel generation corrosion is typically the ecto-entad by the anchor of end and prolongs
Stretch, because taking grouting liquid seal approach at the anchor of end once failing or producing crack, the oxygen in air is with moisture just
Can occur to chemically react and corrosion with presstressed reinforcing steel, and the gap ecto-entad development that this corrosion can be between steel strand wires.
So first arrangement of piezoelectric intelligent aggregate is selected in anchored end at concrete surface 1cm, other piezoelectric intelligent aggregates
Spacing 5cm is longitudinally sequentially distributed along bellows, and the surface of prestress pipe is close in piezoelectric intelligent aggregate downside, these piezoelectricity intelligence
Energy aggregate is to receive signal as piezoelectric transducer.It is viscous in presstressed reinforcing steel termination after the completion of tension of prestressed tendon sealing off and covering anchorage
One piezoelectric ceramic piece of patch, piezoelectric ceramic piece is covered after the completion of stickup with AB glue, and the piezoelectric ceramic piece is as piezoelectric actuator
Produce signal.The piezoelectric intelligent aggregate as sensor is connected by wire with NI6363 Multi-functional data collectors respectively
Connect；The piezoelectric ceramic piece as driver is connected also by wire with NI6363 multifunctional data acquiring equipment.It is described
NI6363 multifunctional data acquirings equipment is then connected by USB data line with computer.The system specific works form is to pass through
Multi-functional collecting device software kit LabVIEW controls multifunctional data acquiring equipment NI6363 sends high frequency letter on computer
Number, the signal is encouraged as the piezoelectric ceramic piece of driver.Signal produced by piezoelectric ceramic piece is by the piezoelectricity as sensor
Intelligent aggregate is received, and the signal that will be received passes through wire transmission to multi-functional data collecting device NI6363, is finally adopted
Collection signal is transmitted to computer by NI6363.
When the presstressed reinforcing steel between piezoelectric ceramic piece and piezoelectric intelligent aggregate does not occur corrosion, then computer is analyzed
Signal energy index be consistent substantially with initial signal energy indexes.When presstressed reinforcing steel occurs corrosion, corrosion product is attached
And produce space in presstressed reinforcing steel surface, cause the medium between piezoelectric ceramic piece and piezoelectric intelligent aggregate to change, then computer
Analyzing the signal energy qualitative change for coming will be less than initial signal energy indexes.
Analysis based on wavelet-packet energy of the present invention, because stress wave has three kinds of media in propagation path, i.e.,
Presstressed reinforcing steel, concrete and prestress pipe, process are complex, after presstressed reinforcing steel occurs corrosion, due to corrosion product
Presence so that stress wave propagation is increasingly complex.Signal collected amplitude is the embodiment of signal energy, used as driver
Piezoelectric ceramic piece in the presence of electric signal by vibrate produce high frequency stress wave, the stress wave is when inside concrete is propagated
To there is the phenomenon such as reflection and refraction on section is damaged, cause to be changed by the stress wave signal of relevant position, so that
The change of the electric signal of piezoelectric intelligent aggregate output is shown, is realized by comparing the change to presstressed reinforcing steel corrosion situation
Identification.
Judgement is analyzed using wavelet-packet energy in the present invention, with the wavelet-packet energy after WAVELET PACKET DECOMPOSITION as variable,
RMSD (root-mean-square-deviation) value of stress wave energy under calculating different conditions under stress wave energy and health status, RMSD is one
Plant the suitable damage criterion of difference between healthier state and the signal of faulted condition.
Damage criterion is defined：
Sensor signal is by one N grades of WAVELET PACKET DECOMPOSITION 2NSignal group { X1,X2···X2 n}。Ei,jUnder being faulted condition
The energy of decomposed signal, expression formula isAnd Xj=[Xj,1, Xj,2···Xj,m],
Wherein i is time index, and j is frequency band (j=1,2,2n), m is sampled data number；Eh,jIt is the energy under health status
Figureofmerit.
Presstressed reinforcing steel is that the piezoelectric signal occurred under corrosion state refers to as primary power during component can be chosen in the present invention
Mark Eh,j, in the middle of later stage monitoring process, if gained Ei,jWith Eh,jClose, damage index I is similar to 0, then illustrate that the region in advance should
There is no corrosion in power muscle；If in opposite monitored area, presstressed reinforcing steel there occurs corrosion, then Ei,jWill be less than Eh,j, and corrosion is tighter
Weight, damage index is got over and is intended to 1.
It is as follows that the present invention implements process
Step one, as shown in Figures 2 and 3, is 60mm in internal diameter d, and outer diameter D is 73mm, and wall thickness nominal value is the circle of 2.5mm
The presstressed reinforcing steel of tensioning root nominal diameter 15.2mm in shape prestressing force bellows, mud jacking, natural curing, sealing off and covering anchorage after-pouring C50's
Concrete.
Step 2, before the concreting of component, set intelligent aggregate is pre-buried to corresponding position and draw data transfer
Line.First arrangement of piezoelectric intelligent aggregate is selected in anchored end at concrete surface 1cm, and other piezoelectric intelligent aggregates are pressed
Spacing 5cm is longitudinally sequentially distributed along bellows, and the surface of prestress pipe is close in piezoelectric intelligent aggregate downside.In advance should from distance
The nearest intelligent aggregate in power muscle anchor end starts, and to intelligent aggregate number consecutively, these intelligent aggregates are carried out as sensor
Signal is received.
Step 3, the presstressed reinforcing steel to the component carry out tensioning and are in the milk, right after the cement mortar for being filled reaches intensity
Anchored end carries out sealing off and covering anchorage.Piezoelectric ceramic piece is pasted on presstressed reinforcing steel termination, is covered with AB rubber cements piezoelectric ceramic piece after pasting
Protect, in order to avoid influenceed by external environment.The piezoelectric ceramic piece carries out signal excitation as driver.
Step 4, after the component reaches design strength, pre-buried piezoelectric intelligent aggregate and presstressed reinforcing steel end will be pasted on
The piezoelectric ceramic piece of head is connected by BNC connector with the multifunctional data acquiring equipment of NI 6363, while computer is led to by USB
Letter line is connected with the multifunctional data acquiring equipment of NI 6363.
Step 5, by by multi-functional collecting device software kit LabVIEW, make NI6363 drive piezoelectric ceramic piece send out
Go out the sine sweep signal of 100Hz-150kHz, the amplitude of its signal is 10V.
Step 6, while as NI6363 collections as sensor intelligent aggregate received by signal, and will collect
Data preserve to computer.
Step 7, the signal data of collection is carried out into wavelet-packet energy analysis with Matlab wavelet analysises program, as first
The energy value E of beginningh,j。
Step 8, when the component needs detection by the method collection signal of step 4 to step 6, and by Matlab
Calculate energy ENERGY E nowi,j, and the damage criterion I for calculating,
Wherein, Ei,jIt is the energy of decomposed signal under faulted condition, Eh,jIt is the energy indexes under health status.When I convergences
In 0, illustrate that presstressed reinforcing steel does not occur corrosion, conversely, leveling off to 1 when I gets over, corrosion degree is more serious.
The damage criterion I of step 9, each piezoelectric intelligent aggregate being longitudinally arranged along beam length by analytical calculation, just can be true
The corrosion situation of presstressed reinforcing steel between piezoelectric ceramic piece and piezoelectric intelligent aggregate is scheduled on, so that it is determined that the corrosion depth of presstressed reinforcing steel
Degree.
Claims (5)
1. a kind of presstressed reinforcing steel corrosion penetration monitoring method based on piezoelectric intelligent aggregate, it is characterised in that comprise the following steps：
1) to the relevant position of presstressed reinforcing steel and draw data line by intelligent aggregate is pre-buried, from apart from presstressed reinforcing steel anchor end most
Near intelligent aggregate starts, to intelligent aggregate number consecutively；
2) it is d in internal diameter, external diameter is D, wall thickness nominal value is the circular prestressing force bellows inner stretch-draw prestressing force muscle of H, mud jacking, from
So maintenance, sealing off and covering anchorage after-pouring concrete makes concrete and is used as beam body component；
3) sealing off and covering anchorage is carried out to beam body member anchoring end, piezoelectric ceramic piece is pasted on presstressed reinforcing steel termination, the piezoelectric ceramic piece is made
For driver carries out signal excitation；
4) in step 3) after the beam body component that makes reaches design strength, pre-buried intelligent aggregate and presstressed reinforcing steel end will be pasted on
The piezoelectric ceramic piece of head is connected by BNC connector with multifunctional data acquiring equipment, while computer is adopted with multi-functional data
Collection equipment is connected；
5) multifunctional data acquiring device drives piezoelectric ceramic piece sends sine sweep signal, while multifunctional data acquiring equipment
The signal that the piezoelectric ceramic piece that collection intelligent aggregate is received sends；
6) signal received to intelligent aggregate carries out wavelet-packet energy analysis, and the result for obtaining is used as initial energy value Eh,j；
7) beam body component need detection when, according to step 4)~step 6) method collection signal, and utilize the signal of change
Go out ENERGY E when needing detectioni,j, then calculate damage criterion I：
When I levels off to 0, illustrate that presstressed reinforcing steel does not occur corrosion, conversely, when I levels off to 1, corrosion degree is more serious；N is small echo
Wrap the series for decomposing；
8) the damage criterion I of each intelligent aggregate that analytical calculation is longitudinally arranged along beam body component, it is determined that piezoelectric ceramic piece with
The corrosion situation of presstressed reinforcing steel between intelligent aggregate, so that it is determined that the corrosion penetration of presstressed reinforcing steel.
2. the presstressed reinforcing steel corrosion penetration monitoring method based on piezoelectric intelligent aggregate according to claim 1, its feature exists
In step 2) in, internal diameter d is 60mm, and outer diameter D is 73mm, and wall thickness nominal value H is 2.5mm.
3. the presstressed reinforcing steel corrosion penetration monitoring method based on piezoelectric intelligent aggregate according to claim 1, its feature exists
In step 2) in, a diameter of 15.2mm of presstressed reinforcing steel.
4. the presstressed reinforcing steel corrosion penetration monitoring method based on piezoelectric intelligent aggregate according to claim 1, its feature exists
In step 3) in, after piezoelectric ceramic piece is pasted on into presstressed reinforcing steel termination, covered with AB rubber cements piezoelectric ceramic piece.
5. the presstressed reinforcing steel corrosion penetration monitoring method based on piezoelectric intelligent aggregate according to claim 1, its feature exists
In step 5) in, sine sweep signal frequency is 100Hz-150kHz, and amplitude is 10V.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201710099780.3A CN106932485A (en) | 2017-02-23 | 2017-02-23 | Prestressed tendon corrosion depth monitoring method based on piezoelectric intelligent aggregate |
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| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201710099780.3A CN106932485A (en) | 2017-02-23 | 2017-02-23 | Prestressed tendon corrosion depth monitoring method based on piezoelectric intelligent aggregate |
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Cited By (5)
| Publication number | Priority date | Publication date | Assignee | Title |
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| CN108872319A (en) * | 2018-03-27 | 2018-11-23 | 哈尔滨工业大学深圳研究生院 | A kind of corrosion sensor |
| CN111520617A (en) * | 2020-02-24 | 2020-08-11 | 重庆大学 | Device and method for monitoring cracking of mortar protective layer of Prestressed Concrete Cylinder Pipe (PCCP) based on piezoelectric sensing technology |
| CN111751392A (en) * | 2020-07-30 | 2020-10-09 | 广州大学 | Steel bar corrosion detection method based on dual-polarization ground penetrating radar |
| CN112362756A (en) * | 2020-11-24 | 2021-02-12 | 长沙理工大学 | Concrete structure damage monitoring method and system based on deep learning |
| CN115389405A (en) * | 2022-07-12 | 2022-11-25 | 苏州经贸职业技术学院 | Viaduct externally-hung flower bed health state monitoring method and device |
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Cited By (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN108872319A (en) * | 2018-03-27 | 2018-11-23 | 哈尔滨工业大学深圳研究生院 | A kind of corrosion sensor |
| CN111520617A (en) * | 2020-02-24 | 2020-08-11 | 重庆大学 | Device and method for monitoring cracking of mortar protective layer of Prestressed Concrete Cylinder Pipe (PCCP) based on piezoelectric sensing technology |
| CN111520617B (en) * | 2020-02-24 | 2022-12-09 | 重庆大学 | Device and method for monitoring cracking of mortar protective layer of prestressed concrete cylinder pipe based on piezoelectric sensing technology |
| CN111751392A (en) * | 2020-07-30 | 2020-10-09 | 广州大学 | Steel bar corrosion detection method based on dual-polarization ground penetrating radar |
| CN111751392B (en) * | 2020-07-30 | 2022-11-29 | 广州大学 | Steel bar corrosion detection method based on dual-polarization ground penetrating radar |
| CN112362756A (en) * | 2020-11-24 | 2021-02-12 | 长沙理工大学 | Concrete structure damage monitoring method and system based on deep learning |
| CN112362756B (en) * | 2020-11-24 | 2024-02-20 | 长沙理工大学 | Concrete structure damage monitoring method and system based on deep learning |
| CN115389405A (en) * | 2022-07-12 | 2022-11-25 | 苏州经贸职业技术学院 | Viaduct externally-hung flower bed health state monitoring method and device |
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