CN102095755B - Nondestructive testing method of concrete structure - Google Patents
Nondestructive testing method of concrete structure Download PDFInfo
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- CN102095755B CN102095755B CN201010582090A CN201010582090A CN102095755B CN 102095755 B CN102095755 B CN 102095755B CN 201010582090 A CN201010582090 A CN 201010582090A CN 201010582090 A CN201010582090 A CN 201010582090A CN 102095755 B CN102095755 B CN 102095755B
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- 238000000034 method Methods 0.000 title claims abstract description 44
- 238000009659 non-destructive testing Methods 0.000 title abstract description 4
- 238000001514 detection method Methods 0.000 claims abstract description 25
- 238000003331 infrared imaging Methods 0.000 claims abstract description 17
- 230000006378 damage Effects 0.000 claims abstract description 15
- 238000012545 processing Methods 0.000 claims abstract description 12
- 238000001931 thermography Methods 0.000 claims abstract description 11
- 230000005284 excitation Effects 0.000 claims abstract description 10
- 230000007547 defect Effects 0.000 claims description 35
- 230000002950 deficient Effects 0.000 claims description 18
- 238000004364 calculation method Methods 0.000 claims description 15
- 238000010438 heat treatment Methods 0.000 claims description 14
- 230000005855 radiation Effects 0.000 claims description 6
- 238000007789 sealing Methods 0.000 claims description 6
- 238000003384 imaging method Methods 0.000 claims description 4
- 238000002604 ultrasonography Methods 0.000 abstract description 4
- 238000004458 analytical method Methods 0.000 abstract description 3
- 230000009286 beneficial effect Effects 0.000 abstract 1
- 238000005516 engineering process Methods 0.000 description 4
- 238000005259 measurement Methods 0.000 description 4
- 230000000694 effects Effects 0.000 description 3
- 238000012360 testing method Methods 0.000 description 3
- 239000000463 material Substances 0.000 description 2
- 239000000523 sample Substances 0.000 description 2
- 208000027418 Wounds and injury Diseases 0.000 description 1
- 238000013528 artificial neural network Methods 0.000 description 1
- 238000012937 correction Methods 0.000 description 1
- 238000013461 design Methods 0.000 description 1
- 238000003745 diagnosis Methods 0.000 description 1
- 238000002474 experimental method Methods 0.000 description 1
- 230000010365 information processing Effects 0.000 description 1
- 208000014674 injury Diseases 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 238000012113 quantitative test Methods 0.000 description 1
- 230000035945 sensitivity Effects 0.000 description 1
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Abstract
The invention relates to a nondestructive testing method of a concrete structure, which comprises the steps: based on the original infrared imaging system, an ultrasonic excitation source is additionally arranged on a tested object; after the ultrasonic excitation source is used, infrared pulse excitation continues to be adopted for combining ultrasound damage location with infrared depth analysis, which protects the tested object, avoids detection of the whole thermography area, aims at detection of the determined image processing area, and is beneficial to improving the detection efficiency; and then, a standard part is adopted for sample detection, and the depth information of the tested object is reversely deduced. The nondestructive testing method is feasible, and has low requirement on precision of detection apparatuses.
Description
Technical field
The present invention relates to nondestructive examination detection technique field, particularly relate to a kind of infrared imaging lossless detection method of xoncrete structure.
Background technology
The infrared thermal wave Dynamic Non-Destruction Measurement is a kind of Dynamic Non-Destruction Measurement that grows up after nineteen nineties.The method is a theoretical foundation with the heat wave theory; Through initiatively object to be detected being applied the controlled thermal excitation of special pattern and adopting the continuous temperature variation of observing and writing down body surface of thermal infrared imager; And carry out detection, collection, data processing and the analysis of sequential heat wave signal through The present computer technology and Image Information Processing technology, to realize quantitative Diagnosis to interior of articles defective or damage.
One of gordian technique of infrared thermal wave Dynamic Non-Destruction Measurement is to various materials, the checking matter of structure and the type of defective and damage, selects the thermal source of different qualities object to be carried out the heating of functional forms such as cycle, pulse, direct current.Wherein ultrasonic Infrared Non-destructive Testing method is to adopt ultrasound wave that seized object is heated, and writes down the variation of body surface temperature field with thermal infrared imager.Compare with flashlamp pulse excitation infrared thermal imagery lossless detection method; Ultrasound wave only heats rejected region; And do not have the part of defective to heat hardly to other, therefore ultrasonic heating become the flaw indication of thermal imaging strong, have very high sensitivity; Can detect littler crack, perhaps closed, vertical fully crack.For confirming of defect damage, the ultrasonic heating mode very effectively.
Therefore, Chinese patent CN 101713756 proposes a kind of ultrasonic thermal-excitation infrared imaging nondestructive detection method, as heating driving source, and carries out infrared imaging with ultrasonic.This patent combines ultrasonic " selectivity " heating and the infrared imaging of thermal infrared imager, realizes the accurate detection to defect area.But this patent only realizes defect area and defect area edge have been realized good detection, but depth of defect is detected poor effect.
Summary of the invention
The technical matters that the present invention will solve provides and a kind of ultrasonic, infrared two kinds of driving sources is combined, the lossless detection method that can detect depth of defect, defect damage area.
In order to solve the problems of the technologies described above; The present invention provides a kind of lossless detection method of xoncrete structure; This method is based on original infrared imaging system; And set up the ultrasonic action source for checking matter, wherein original infrared imaging system comprises flashing lamp, thermal imaging system and makees the computing machine that corresponding data is handled that this method realizes as follows:
Step 1, the depth value of each defective is known tender confirms as checking matter, checking matter is continuously applied 20KHz ultrasonic action 10ms～5s, and in heating and heat radiation process, carry out infrared imaging, generate corresponding ultrasonic thermal map sequence;
Step 2, to carrying out edge identification by the thermal map sequence that step 1 generated, and discern determined maximum closed region as the Flame Image Process zone according to the edge;
Step 3, employing flashlamp are continuously applied infrared pulse excitation 20～30min to said checking matter; And in heating and heat radiation process, carry out infrared imaging; Generate corresponding thermal map sequence, and identical with in the step 1 of the relative position between this step thermal imaging system and the checking matter;
On step 4, the thermal map sequence that in step 3, generated; Confirm the Flame Image Process zone identical with step 2; And in this Flame Image Process zone, carry out gray-scale value and calculate; The maximal value of result of calculation and the imaging of maximal value appearance are preserved as judgment value constantly, and said result of calculation comprises the mean value of average gray value, center gray-scale value, its edge each point pixel of image processing zone;
Step 5, thing to be checked that depth of defect and area is unknown are as the checking matter of this step, and repeating step 1～4 then, obtains this step checking matter corresponding judgment value; To carry out numerical value by size with each corresponding judgment value in Flame Image Process zone arranges; The correlativity of using judgment value and depth of defect is the depth coefficient assignment of corresponding closed region; And the correspondence image processing region is defined as the defect damage zone of measured object relevant position, can draw the area in this defect damage zone through COMPUTER CALCULATION;
In the above-mentioned steps, the generation and the processing of thermal map are accomplished by thermal imaging system and the cooperation of said computing machine, and the interior typing of computing machine has the depth value of said each defective of tender; Said closed region and Flame Image Process zone are the coordinates regionals corresponding with each thermal map.
Coordinates regional; Promptly be that thermal map is carried out the planimetric position mark with the mode of coordinate; If the pixel coordinate among the present invention in certain two thermal maps closed edge boundary line separately is all identical, can assert that then the zone in these two closed edge boundary lines belongs to same coordinates regional, closed region or Flame Image Process zone.
Further; Different boundary line, edge differences of sealing same position constantly in the step 2; When its region area that is surrounded of boundary line, edge of sealing same position is maximal value, confirm that the formed closed region, boundary line, edge that this moment is directed against this position is and corresponding maximum closed region, this position.
Those skilled in the art can recognize that maximum closed region or Flame Image Process zone are corresponding with the defective locations that is sealed, so if two defectives are arranged, two maximum closed region or Flame Image Process zones that the position is different will occur; And to the defective locations of different depth, its moment that maximum closed region occurs also has can be different, so pairing maximum closed region of different depth defective locations or Flame Image Process zone can not appear on the thermal map of a certain sequence; And ultrasonic general heating rejected region in order to detect comprehensively, avoided " omission " of subregion, selects the notion of maximum closed region can realize the accurate detection of defect damage region area.
Further, said tender is provided with five defectives that the degree of depth is known, and the degree of depth is respectively 15mm, 20mm, 30mm, 50mm, 80mm.
Further, the correlativity of said judgment value and depth of defect, promptly to go out now its numerical value big more for the result of calculation maximal value, and then depth of defect is dark more; Result of calculation maximal value numerical value is big more, and then depth of defect is shallow more.
Because depth of defect is dark more, it is few more absorb heat, and heat release is slow more, and the mean value that correspondingly then shows as average gray value, center gray-scale value, regional its edge each point pixel of image processing is less, the peaked moment occurs to relatively lag behind.
Use lossless detection method of the present invention following technique effect arranged:
(1) simplicity of design, computing are simple and easy relatively, and the requirement of data processing hardware is significantly reduced.
(2) only use the ultrasonic action source in step 1; Continue to use red pulse excitation afterwards, realization ultrasound injury location combines with infrared depth analysis, in the time of the protection checking matter; Avoid whole thermal map zone to detect but, help to improve detection efficiency to the Flame Image Process zone of confirming.
(3) be similar to the way of contrast of PH test paper, through gray-scale value and the detection constantly of confirming the degree of depth, the depth information of negative testing detected material.Compare with the neural network of complicacy, this method for the detection of the surface imperfection degree of depth more economically, be prone to row.
Embodiment
Lossless detection method of the present invention power ultrasonic and infrared excitation in measurement should be predetermined fixed, is 20KHZ as the optimized choice ultrasonic frequency, and adopting the infrared pulse heating source in the experiment is two-way pulse Yin lamp, the about 10W of peak power.
Lossless detection method of the present invention; This method is based on original infrared imaging system; And set up the ultrasonic action source for checking matter, wherein original infrared imaging system comprises flashing lamp, thermal imaging system and makees the computing machine that corresponding data is handled that this method realizes as follows:
Step 1, the depth value of each defective is known tender confirms as checking matter; Use ultrasonic probe that checking matter is continuously applied 20KHz ultrasonic action 10ms～5s; Can coat couplant between ultrasonic probe and the checking matter and closely transmit acoustic energy with also can being close to formula; And in heating and heat radiation process, carry out infrared imaging, generate corresponding ultrasonic thermal map sequence; Said tender is provided with five defectives that the degree of depth is known, and the degree of depth is respectively 15mm, 20mm, 30mm, 50mm, 80mm;
Step 2, to carrying out edge identification by the thermal map sequence that step 1 generated, and discern determined maximum closed region as the Flame Image Process zone according to the edge; Different boundary line, the edge differences of sealing same position constantly of this step; When its region area that is surrounded of boundary line, edge of sealing same position is maximal value, confirm that the formed closed region, boundary line, edge that this moment is directed against this position is and corresponding maximum closed region, this position.
Step 3, employing flashlamp are continuously applied infrared pulse excitation 20～30min to said checking matter; And in heating and heat radiation process, carry out infrared imaging; Generate corresponding thermal map sequence, and identical with in the step 1 of the relative position between this step thermal imaging system and the checking matter;
On step 4, the thermal map sequence that in step 3, generated; Confirm the Flame Image Process zone identical with step 2; And in this Flame Image Process zone, carry out gray-scale value and calculate; The maximal value of result of calculation and the imaging of maximal value appearance are preserved as judgment value constantly, and said result of calculation comprises the mean value of average gray value, center gray-scale value, its edge each point pixel of image processing zone;
Step 5, thing to be checked that depth of defect and area is unknown are as the checking matter of this step, and repeating step 1～4 then, obtains this step checking matter corresponding judgment value; To carry out numerical value by size with each corresponding judgment value in Flame Image Process zone arranges; The correlativity of using judgment value and depth of defect is the depth coefficient assignment of corresponding closed region; And the correspondence image processing region is defined as the defect damage zone of measured object relevant position, can draw the area in this defect damage zone through COMPUTER CALCULATION;
The correlativity of said judgment value and depth of defect, promptly to go out now its numerical value big more for the result of calculation maximal value, and then depth of defect is dark more; Result of calculation maximal value numerical value is big more, and then depth of defect is shallow more.
Suppose that this instance tender (be provided with five defectives that the degree of depth is known, and the degree of depth is respectively 15mm, 20mm, 30mm, 50mm, 80mm; ) average gray value of defective is respectively 3,4,6,10,16; And detect three the average gray value results that have of unknown checking matter, and be respectively A:7, B:9; C:11; Then its depth rangees of three defect damages zone are arranged is respectively A:20mm～30mm to checking matter, B:20mm～30mm, C:15mm～20mm; And A is darker than B.If will obtain the actuarial result, need carry out the great amount of samples test, and the correction of computing machine specific algorithm.Use this method can comparatively accurately detect the defect damage area, can carry out certain quantitative test to depth of defect simultaneously, cost is low, and method is simple and easy, is easy to realize.
In the above-mentioned steps, the generation and the processing of thermal map are accomplished by thermal imaging system and the cooperation of said computing machine, and the interior typing of computing machine has the depth value of said each defective of tender; Said closed region and Flame Image Process zone are the coordinates regionals corresponding with each thermal map.
Because in the thermal map, depth of defect is directly related with contrast peak delay time and maximum gradation value, so adopt above-mentioned steps to measure.For a person skilled in the art, under the prerequisite that does not break away from structure of the present invention, can also make some distortion and improvement, as can in heating process, not carrying out chart imaging, only in exothermic process, being carried out to picture is enough to realize goal of the invention of the present invention; The depth of defect that tender is preset can carry out moderate modification, but should not the degree of depth be provided with dark; Should be regarded as protection scope of the present invention like these, these can not influence effect and practical applicability that the present invention implements yet.
Claims (3)
1. the lossless detection method of an xoncrete structure; This method is based on original infrared imaging system; And set up the ultrasonic action source for checking matter; Wherein original infrared imaging system comprises flashing lamp, thermal imaging system and makees the computing machine that corresponding data is handled, it is characterized in that this method comprises the steps:
Step 1, the depth value of each defective is known tender confirms as checking matter, checking matter is continuously applied 20KHz ultrasonic action 10ms～5s, and in heating and heat radiation process, carry out infrared imaging, generate corresponding ultrasonic thermal map sequence;
Step 2, to carrying out edge identification by the thermal map sequence that step 1 generated, and discern determined maximum closed region as the Flame Image Process zone according to the edge;
Step 3, employing flashlamp are continuously applied infrared pulse excitation 20～30min to said checking matter; And in heating and heat radiation process, carry out infrared imaging; Generate corresponding thermal map sequence, and identical with in the step 1 of the relative position between this step thermal imaging system and the checking matter;
On step 4, the thermal map sequence that in step 3, generated; Confirm the Flame Image Process zone identical with step 2; And in this Flame Image Process zone, carry out gray-scale value and calculate; The maximal value of result of calculation and the imaging of maximal value appearance are preserved as judgment value constantly, and said result of calculation comprises the mean value of average gray value, center gray-scale value, its edge each point pixel of Flame Image Process zone;
Step 5, thing to be checked that depth of defect and area is unknown are as the checking matter of this step, and repeating step 1～4 then, obtains this step checking matter corresponding judgment value; To carry out numerical value by size with each corresponding judgment value in Flame Image Process zone arranges; The correlativity of using judgment value and depth of defect is the depth coefficient assignment of corresponding closed region; And the correspondence image processing region is defined as the defect damage zone of measured object relevant position, can draw the area in this defect damage zone through COMPUTER CALCULATION;
In the above-mentioned steps, the generation and the processing of thermal map are accomplished by thermal imaging system and the cooperation of said computing machine, and the interior typing of computing machine has the depth value of said each defective of tender; Said closed region and Flame Image Process zone are the coordinates regionals corresponding with each thermal map; The correlativity of said judgment value and depth of defect, promptly to go out now its numerical value big more for the result of calculation maximal value, and then depth of defect is dark more; Result of calculation maximal value numerical value is big more, and then depth of defect is shallow more.
2. the lossless detection method of xoncrete structure according to claim 1; It is characterized in that; Different boundary line, edge differences of sealing same position constantly in the said step 2; When its region area that is surrounded of boundary line, edge of sealing same position is maximal value, confirm that the formed closed region, boundary line, edge that this moment is directed against this position is and corresponding maximum closed region, this position.
3. the lossless detection method of xoncrete structure according to claim 1, it is characterized in that: said tender is provided with five defectives that the degree of depth is known, and the degree of depth is respectively 15mm, 20mm, 30mm, 50mm, 80mm.
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| CN103592333A (en) * | 2013-11-13 | 2014-02-19 | 电子科技大学 | Automatic defect detection and identification method for ECPT (eddy current pulsed thermography) |
| CN105548258B (en) * | 2015-11-26 | 2018-06-19 | 天津津航技术物理研究所 | Composite impact damage rapid detection method based on infrared imaging |
| CN105510385A (en) * | 2015-11-29 | 2016-04-20 | 四川大学 | Nondestructive testing apparatus and method for impact damage of component of conductive material |
| CN106645288A (en) * | 2016-09-30 | 2017-05-10 | 交通运输部公路科学研究所 | Nondestructive test system for defects of bridge concrete structure and test method thereof |
| CN106568801B (en) * | 2016-10-25 | 2019-03-12 | 沈阳建筑大学 | The lossless detection method of external heat insulating wall heat preservation board defect |
| US20190064119A1 (en) * | 2017-08-28 | 2019-02-28 | Siemens Energy, Inc. | Laser ultrasonic thermography inspection |
| CN108333219A (en) * | 2018-03-19 | 2018-07-27 | 长沙理工大学 | A kind of online lossless detection method for band large-scale metal component laser gain material manufacturing process |
| CN108444936B (en) * | 2018-03-27 | 2020-05-22 | 重庆交通大学 | Nondestructive testing system and method for concrete filled steel tube void |
| CN109100391B (en) * | 2018-08-08 | 2021-06-15 | 广东永和建设集团有限公司 | Concrete infrared detection method |
| CN109443543B (en) * | 2018-11-23 | 2021-05-04 | 中国矿业大学 | Infrared radiation quantitative characterization method for bearing coal rock damage evolution |
| CN110322429B (en) * | 2019-05-09 | 2022-04-05 | 中南大学 | Honeycomb composite material defect classification method based on deep learning |
| CN110320236B (en) * | 2019-07-19 | 2021-09-14 | 沈阳工业大学 | Infrared measurement method for internal defect depth of large wind turbine blade |
| CN111044569B (en) * | 2019-12-27 | 2023-01-24 | 中铁建大桥工程局集团第二工程有限公司 | Tunnel concrete structure defect detection method |
| WO2021241536A1 (en) * | 2020-05-29 | 2021-12-02 | 富士フイルム株式会社 | Inspection method and inspection system for structure |
| CN114882016B (en) * | 2022-06-30 | 2022-12-13 | 中国矿业大学(北京) | Method and system for identifying concrete defect area based on infrared temperature field time sequence information |
| CN118150692B (en) * | 2024-05-10 | 2024-07-23 | 广东惠和工程检测有限公司 | Concrete defect detection method and system |
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| CN1696674A (en) * | 2005-06-24 | 2005-11-16 | 首都师范大学 | Method for reconstructing chromatography image of image of infrared heat wave detection |
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| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN1696674A (en) * | 2005-06-24 | 2005-11-16 | 首都师范大学 | Method for reconstructing chromatography image of image of infrared heat wave detection |
| CN101713756A (en) * | 2009-12-24 | 2010-05-26 | 首都师范大学 | Non-contact ultrasonic thermal-excitation infrared imaging nondestructive detection method and system |
Non-Patent Citations (1)
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