CN205844262U - A kind of steel pipe large scale renewable concrete porosity detection device - Google Patents
A kind of steel pipe large scale renewable concrete porosity detection device Download PDFInfo
- Publication number
- CN205844262U CN205844262U CN201620244419.6U CN201620244419U CN205844262U CN 205844262 U CN205844262 U CN 205844262U CN 201620244419 U CN201620244419 U CN 201620244419U CN 205844262 U CN205844262 U CN 205844262U
- Authority
- CN
- China
- Prior art keywords
- large scale
- steel pipe
- sensor
- pipe large
- renewable
- 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.)
- Expired - Fee Related
Links
Abstract
The utility model discloses a kind of steel pipe large scale renewable concrete porosity detection device, including: it is arranged on the sensor array within the renewable concrete component of steel pipe large scale, random waveform functional generator, power amplifier, data collecting instrument, data analysis system, sensor array includes driving sensor, receive sensor, random waveform functional generator launches the wave function set, after power amplifier will launch signal amplification, reach driving sensor, signal is received by reception sensor after the renewable concrete medium of steel pipe large scale, signal response after reception is gathered by data collecting instrument, finally it is sent to data analysis system and analyzes signal characteristic.This utility model is time saving and energy saving, and can accurately measure large scale concrete component interior void size and location, contributes to application and the popularization of steel pipe large scale renewable xoncrete structure form.
Description
Technical field
This utility model relates to a kind of cavity detection device based on INVERSION OF STRESS FIELD, it is particularly possible to be used for detecting steel pipe big
The device of yardstick renewable inside concrete cavity situation.
Background technology
Along with the continuous dismounting of a large amount of existent building, increasing building waste is in need of immediate treatment, and building waste total amount
Half be discarded concrete, steel pipe large scale regeneration concrete be then discarded concrete recycling important channel.
In engineer applied, the renewable concrete of steel pipe large scale there may be cavity in casting process, and cavity can shadow
Ring the stress performance of its structure.Hole detection method currently for large scale concrete component is mainly supersonic testing method.Its
In ultrasonic survey method is generally used for the detection that concrete filled steel tube tube wall comes to nothing, cannot owing to being affected by tube wall refraction and reflection
Carry out the detection of interior void.According to ultrasonic acoustic test tube detection method, sound detecting pipe generally need to be arranged inside concrete filled steel tube,
Affect structural behaviour, and detection is wasted time and energy.
This utility model is the demand for the renewable concrete NDT of steel pipe large scale, uses piezoelectric intelligent aggregate conduct
Detection means.Before this, patent ZL201210443143.0 describes a kind of health monitoring systems for xoncrete structure,
This system have employed piezoelectric intelligent aggregate equally, its piezoelectric intelligent aggregate launch the frequency sweep ripple that signal is 100Hz-10kHz with
Sinusoidal wave two kinds, compare is the signal of structural health and unhealthy status, is the sensor difference time-ofday signals with a pair
Relatively, structural damage evolutionary process is characterized.This utility model is then by piezoelectric intelligent aggregate low-frequency excitation generation office in the structure
Portion's vibration (effective excitation area about 1m), by coming inverting concrete hollow hole by finite element analysis with the contrast of monitor stress field
Size and location.Before casting concrete, in template, arrange piezoelectric intelligent aggregate sensor array, to form the space of network type
Detection region.After having poured, piezoelectric intelligent aggregate low frequency one by one (less than 2kHz) is driven, then will generate class in concrete
The stress field of apparent movement power, and the cavity in concrete will affect the uniformity of this stress field, simulate pressure by finite element software
Stress Field Distribution when electricity intelligent aggregate encourages in without cavity concrete, then two stress fields are contrasted and correction models, with
This is finally inversed by concrete hollow hole size and location.
Utility model content
The purpose of this utility model is to provide a kind of time saving and energy saving, and can more accurately measure large scale steel tube concrete
The device of soil component inside cavity size and location.
For achieving the above object, the technical solution of the utility model is as follows:
A kind of steel pipe large scale renewable concrete porosity detection device, including:
It is arranged on the renewable concrete component of steel pipe large scale and is internally formed the sensor array in detection region, network type space
Row, random waveform functional generator, power amplifier, data collecting instrument, data analysis system, described sensor array includes driving
Dynamic sensor, reception sensor, the wave function that described random waveform functional generator transmitting sets, will through power amplifier
Launch signal amplify after, reach driving sensor, signal after the renewable concrete medium of steel pipe large scale by receive sensor
Receiving, the signal response after reception is gathered by data collecting instrument, is finally sent to data analysis system and analyzes signal characteristic.
Further, described driving sensor, reception sensor all use piezoelectric intelligent aggregate.
Further, the spacing of described sensor array is 200-400mm.
Further, it is renewable that each sensor of described sensor array is bonded in steel pipe large scale by rubber blanket
On reinforcing bar in concrete component, the effect of rubber blanket is to reduce the reinforcing bar impact on each sensor vibration.
Compared to existing technology, this utility model detection concrete porosity is time saving and energy saving, and can more accurately measure big chi
Degree concrete component interior void size and location, contributes to the application of steel pipe large scale renewable xoncrete structure form and pushes away
Extensively.
Accompanying drawing explanation
Fig. 1 is the structure of the detecting device schematic diagram of the embodiment of the present invention.
Fig. 2 is transducer arrangements array and INVERSION OF STRESS FIELD schematic diagram, wherein,
Fig. 2 (a) is the nothing cavity force distribution schematic diagram of finite element software simulation；
Fig. 2 (b) is the Stress Field Distribution schematic diagram of actual measurement；
Fig. 2 (c) be finite element software simulation have empty Stress Field Distribution schematic diagram；
Fig. 2 (d) is for determining cavity size and location schematic diagram.
Fig. 3 receives the signal waveforms that sensor receives.
Fig. 4 is the flow chart of the embodiment of the present invention.
In figure: the 1 renewable concrete column of steel pipe large scale；2 drive sensor；3 cavities；4 receive sensor；
5 random waveform functional generators；6 power amplifiers；7 data collecting instruments；8 data analysis systems；9 reinforcing bars；
11 stress field isopotential lines.
Detailed description of the invention
With specific embodiment, utility model purpose of the present utility model is described in further detail below in conjunction with the accompanying drawings,
Embodiment can not repeat one by one at this, but the most therefore embodiment of the present utility model is defined in following example.
Embodiment
As it is shown in figure 1, a kind of steel pipe large scale renewable concrete porosity detection device, including:
It is arranged on the renewable concrete component of steel pipe large scale internal (being positioned at two dimensional surface) and forms the detection of network type space
The sensor array in region, random waveform functional generator 5, power amplifier 6, data collecting instrument 7, data analysis system 8, institute
The spacing stating sensor array is 200-400mm, including driving sensor 2, receiving sensor 4, described driving sensor 2,
Receiving sensor 4 all uses piezoelectric intelligent aggregate, described random waveform functional generator 5 to launch the wave function set, warp
After power amplifier 6 will launch signal amplification, reaching driving sensor 2, signal is through the renewable concrete medium of steel pipe large scale
After receive by receiving sensor 4, the response of signal after reception is gathered by data collecting instrument 7, is finally sent to data analysis system 8
Analyze signal characteristic.
Before pouring, in conjunction with steel pipe large scale renewable concrete component size and cavity position easily occurs, described biography
Each sensor of sensor array is bonded on the reinforcing bar 9 in the renewable concrete component of steel pipe large scale by rubber blanket.
As shown in Figure 4, the steel pipe large scale renewable concrete porosity detection method of described device is used, including step:
1) before pouring, in conjunction with steel pipe large scale renewable concrete component size and cavity position easily occurs, within it
Portion's placement sensor array in advance, forms detection region, network type space；
2) any sensor in sensor array is selected to press preset as driving sensor 2, random waveform functional generator 5
The waveshape signal that produces of excitation parameters (including driving frequency, amplitude etc.) after power amplifier 6 amplifies, this driving is sensed
Device 2 carries out single-frequency driving, will generate the stress field being stably similar to static(al) in concrete, and each sensor 4 that receives is in difference
After position receives vibration signal, vibration signal gathered through data collecting instrument 7 and is sent to data analysis system 8, receiving
Vibration signal waveforms is as shown in Figure 3；
3) according to the amplitude size of the signal receiving sensor 4 detection, Stress Field Distribution during actual measurement is drawn out；
4) by stress field (see Fig. 2 a) contrast of the stress field of actual measurement with simulation, find measured stress field isopotential line the closeest
The region (see Fig. 2 b) of collection, finds cavity approximate location；
5) by revising FEM (finite element) model, cavity is set in a model, and adjusts cavity size and location, when model adjusts
After Stress Field Distribution roughly the same with the Stress Field Distribution of actual measurement time (see Fig. 2 c), be i.e. finally inversed by cavity specific size and position
Put (see Fig. 2 d)；
6) changing driving source, select other sensor in sensor array as driving sensor 2 successively, remaining senses
Device, as receiving sensor 4, repeats step 2) ~ step 5), improve the reliability of detection method.
Specifically, the driving frequency that described single-frequency drives is less than 2kHz, and amplitude is 3mV-5mV.
The principle of this detection method is as follows:
Swashed under the renewable concrete of steel pipe large scale is without cavity state by finite element software simulation piezoelectric intelligent aggregate
Stress Field Distribution when encouraging；The signal amplitude detected by sensor array again, draws out Stress Field Distribution during actual measurement；Work as coagulation
When soil structure has cavity, owing to signal is accelerated through amplitude attenuation during cavity, stress field isopotential line 11 meeting near cavity
Become intensive.Utilize described principle, by the Stress Field Distribution of actual measurement with finite element software simulation concrete without stress under the state of cavity
Field distribution relative analysis, finds a certain position, and measured stress field isopotential line 11 is substantially close than simulation stress field isopotential line 11 herein
Collection, then there is cavity this position of deducibility；Again by revising FEM (finite element) model, cavity is set in a model, and adjusts cavity size
And position, when the Stress Field Distribution after model adjusts is roughly the same with the Stress Field Distribution of actual measurement, the tool in cavity can be finally inversed by
Body size and location.
Above-described embodiment of the present utility model is only for clearly demonstrating this utility model example, and is not
Restriction to embodiment of the present utility model.For those of ordinary skill in the field, on the basis of described above
On can also make other changes in different forms.Here without also cannot all of embodiment be given exhaustive.
All any amendment, equivalent and improvement etc. made within spirit of the present utility model and principle, should be included in this reality
Within novel scope of the claims.
Claims (4)
1. a steel pipe large scale renewable concrete porosity detection device, it is characterised in that including:
It is arranged on the renewable concrete component of steel pipe large scale to be internally formed the sensor array in detection region, network type space, appoint
Meaning wave function generator (5), power amplifier (6), data collecting instrument (7), data analysis system (8), described sensor array
Row include driving sensor (2), receiving sensor (4), and described random waveform functional generator (5) launches the waveform letter set
Number, after power amplifier (6) will launch signal amplification, reaches driving sensor (2), and signal is renewable mixed through steel pipe large scale
By receiving sensor (4) reception after solidifying soil-structure interactions, the signal response after reception is gathered by data collecting instrument (7), is finally sent to
Data analysis system (8) analyzes signal characteristic.
The renewable concrete porosity of steel pipe large scale the most according to claim 1 detection device, it is characterised in that: described
Sensor (2), reception sensor (4) is driven all to use piezoelectric intelligent aggregate.
The renewable concrete porosity of steel pipe large scale the most according to claim 1 detection device, it is characterised in that: described biography
The spacing of sensor array is 200-400mm.
The renewable concrete porosity of steel pipe large scale the most according to claim 1 detection device, it is characterised in that: described
The reinforcing bar (9) that each sensor of sensor array is bonded in the renewable concrete component of steel pipe large scale by rubber blanket
On.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201620244419.6U CN205844262U (en) | 2016-03-25 | 2016-03-25 | A kind of steel pipe large scale renewable concrete porosity detection device |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201620244419.6U CN205844262U (en) | 2016-03-25 | 2016-03-25 | A kind of steel pipe large scale renewable concrete porosity detection device |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN205844262U true CN205844262U (en) | 2016-12-28 |
Family
ID=57628099
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201620244419.6U Expired - Fee Related CN205844262U (en) | 2016-03-25 | 2016-03-25 | A kind of steel pipe large scale renewable concrete porosity detection device |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN205844262U (en) |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN105699490A (en) * | 2016-03-25 | 2016-06-22 | 华南理工大学 | Device and method for detecting large-scale reproducible concrete cavity of steel pipe |
-
2016
- 2016-03-25 CN CN201620244419.6U patent/CN205844262U/en not_active Expired - Fee Related
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN105699490A (en) * | 2016-03-25 | 2016-06-22 | 华南理工大学 | Device and method for detecting large-scale reproducible concrete cavity of steel pipe |
| CN105699490B (en) * | 2016-03-25 | 2018-06-19 | 华南理工大学 | A kind of renewable concrete porosity detection method of steel pipe large scale |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN101806778B (en) | Method for non-linear ultrasonic online detection of early fatigue damage of metal material | |
| CN102507655A (en) | Method for monitoring compaction of concrete-filled steel tube structure based on piezoelectric intelligent aggregate | |
| CN102944608B (en) | Device and method for ultrasonic testing of corrugated pipe duck grouting compactness | |
| CN112098512B (en) | Grouting sleeve grouting defect detection method based on acoustic wave local resonance scattering characteristics | |
| CN105395218A (en) | Ultrasonic elastic imaging system and method | |
| CN104458906A (en) | Ultrasonic pipe measurement apparatus | |
| CN104251883A (en) | Non-contact rock sound wave speed detection method | |
| CN201637722U (en) | Metallic material early-period fatigue damage nonlinear ultrasonic on-line detection device | |
| Cui et al. | Assessing the effects of insufficient rebar and missing grout in grouted rock bolts using guided ultrasonic waves | |
| CN102393445A (en) | Pipeline structure damage monitoring method based on piezoelectric ceramic sensor and guide wave analysis | |
| CN110118829A (en) | A kind of test macro and method of the amplitude-frequency characteristic of acoustic emission sensor | |
| CN101393172A (en) | Non-damage detection for cracks in solid by non-linear resonating sound spectrum method | |
| CN110243521A (en) | A kind of sheet stress measurement method and sheet stress measuring system | |
| CN105699490B (en) | A kind of renewable concrete porosity detection method of steel pipe large scale | |
| US11604127B2 (en) | Methods for detecting pipeline weakening | |
| CN205844262U (en) | A kind of steel pipe large scale renewable concrete porosity detection device | |
| JP5163857B2 (en) | Concrete structure quality inspection method and concrete structure quality inspection apparatus | |
| CN102680214B (en) | Vibration isolation performance test device and method for corrugated pipe | |
| JP2015038462A (en) | Interface inspection method and apparatus of composite structure | |
| CN1333265C (en) | Back-cupping method and device for sound emission source signal in sound emission detection technology | |
| CN210427470U (en) | Test system for amplitude-frequency characteristic of acoustic emission sensor | |
| Zhu et al. | Detection of nonlinear Lamb wave using a PVDF comb transducer | |
| CN202547906U (en) | Vibration isolation performance testing device for corrugated pipe | |
| CN106556858B (en) | A kind of ultrasonic signal excitation reception test macro | |
| CN116026921A (en) | Intelligent grouting sleeve system with built-in annular ultrasonic sensor array |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| C14 | Grant of patent or utility model | ||
| GR01 | Patent grant | ||
| CF01 | Termination of patent right due to non-payment of annual fee | ||
| CF01 | Termination of patent right due to non-payment of annual fee |
Granted publication date: 20161228 Termination date: 20200325 |