CN114782382A - Wharf crack detection and prediction method - Google Patents

Wharf crack detection and prediction method Download PDF

Info

Publication number
CN114782382A
CN114782382A CN202210458719.4A CN202210458719A CN114782382A CN 114782382 A CN114782382 A CN 114782382A CN 202210458719 A CN202210458719 A CN 202210458719A CN 114782382 A CN114782382 A CN 114782382A
Authority
CN
China
Prior art keywords
crack
dock
wharf
model
prediction method
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.)
Pending
Application number
CN202210458719.4A
Other languages
Chinese (zh)
Inventor
叶品
陈世俊
朱伟
汪承志
王逸飞
陈东红
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Chongqing Jiaotong University
Zhejiang Scientific Research Institute of Transport
Original Assignee
Chongqing Jiaotong University
Zhejiang Scientific Research Institute of Transport
Priority date (The priority date 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 date listed.)
Filing date
Publication date
Application filed by Chongqing Jiaotong University, Zhejiang Scientific Research Institute of Transport filed Critical Chongqing Jiaotong University
Priority to CN202210458719.4A priority Critical patent/CN114782382A/en
Publication of CN114782382A publication Critical patent/CN114782382A/en
Pending legal-status Critical Current

Links

Images

Classifications

    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00—Image analysis
    • G06T7/0002—Inspection of images, e.g. flaw detection
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q10/00—Administration; Management
    • G06Q10/04—Forecasting or optimisation specially adapted for administrative or management purposes, e.g. linear programming or "cutting stock problem"
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00—Indexing scheme for image analysis or image enhancement
    • G06T2207/10—Image acquisition modality
    • G06T2207/10004—Still image; Photographic image
    • G06T2207/10012—Stereo images

Landscapes

  • Engineering & Computer Science (AREA)
  • Business, Economics & Management (AREA)
  • Economics (AREA)
  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Theoretical Computer Science (AREA)
  • Strategic Management (AREA)
  • Human Resources & Organizations (AREA)
  • Quality & Reliability (AREA)
  • Game Theory and Decision Science (AREA)
  • Development Economics (AREA)
  • Computer Vision & Pattern Recognition (AREA)
  • Entrepreneurship & Innovation (AREA)
  • Marketing (AREA)
  • Operations Research (AREA)
  • Tourism & Hospitality (AREA)
  • General Business, Economics & Management (AREA)
  • Investigating Materials By The Use Of Optical Means Adapted For Particular Applications (AREA)

Abstract

The invention relates to the technical field of structural safety assessment, in particular to a dock crack detection and prediction method, which comprises the following steps: constructing a structural model of a measured object, and preprocessing the structural model; pressurizing the measurement object structure model, and acquiring image information of the measurement object structure model; the method has the advantages that the collected image information is analyzed based on the 3D-DIC technology to obtain structural crack information, the opening degree and the direction of the crack can be rapidly and nondestructively measured based on the 3D-DIC technology, the type of the crack and the influence of the crack on the structure of the structure can be visually obtained, so that the future condition of the wharf crack can be effectively predicted, the service life of the wharf is prolonged, the possible harm of the wharf structure is prevented and built in advance, and the adverse effect of the crack on the normal use of the wharf is effectively avoided.

Description

Wharf crack detection and prediction method
Technical Field
The invention relates to the technical field of structural safety assessment, in particular to a wharf crack detection and prediction method.
Background
Along with the scale of port infrastructure, port throughput capacity, port service level, port structure overall arrangement are constantly upgraded, the security requirement to the port is also increasing gradually, but because reasons such as port pier design, construction, the environment of being in service and self, under the effect of long-term dynamic load, can lead to the stress field and the displacement field of pier structure crack tip near to appear complicated change, thereby arouse stress concentration and strain energy release, when crack tip stress intensity factor is greater than material fracture toughness, the pier structure crack of concrete building can appear the evolution in length, width and depth direction, and will accelerate the extension of crack under dynamic load and environment combined action, lead to port pier life to reduce, the durability reduces, and the safety receives the threat.
Currently, there are a plurality of detection methods for detecting a codeword structure, including:
1. direct observation and measurement method: the structural damage is judged by knocking and the like through a simple measuring tool and then repaired, so that the defects of blindness and incompleteness exist;
2. rotary hole coring method: the method has the advantages that the method is respectively evaluated by a sound wave resilience shock-exciting receiving device or by applying fuzzy mathematic theory classification, and has the defects of damage to a code structure, complex operation steps, high possibility of error, only analysis of a local structure and time and labor waste in overall analysis;
3. destructive detection method: under the condition of not influencing the bearing capacity of the wharf structure, a local damage test is directly carried out on the structural component, a test value obtained by detection is compared with a standard value to obtain a detection result, and the defects that the operation is complex, the damaged component needs to be filled, and the method cannot be applied to a steel strip pile casing or other components containing steel materials exist;
4. nondestructive testing: the method comprises the steps of analyzing the actual strength and the damaged specific position of a component by directly testing related data of a wharf structural component (without damaging the structure), and analyzing by a 2D-DIC program, wherein the defect that actual information of cracks cannot be obtained exists;
in view of this, the present application is specifically made.
Disclosure of Invention
Aiming at the problem that the actual information of the wharf structure crack cannot be effectively obtained in the wharf structure detection method in the prior art, the invention provides the wharf crack detection and prediction method, which can rapidly and nondestructively measure the opening degree and direction of the crack based on the 3D-DIC technology, and intuitively obtain the type of the crack and the possible influence of the crack on the structure.
The invention is realized by the following technical scheme:
a dock crack detection and prediction method comprises the following steps:
constructing a structural model of a measured object, and preprocessing the structural model;
pressurizing the measurement object structure model, and acquiring image information of the measurement object structure model;
and analyzing the acquired image information based on a 3D-DIC technology to obtain structural crack information.
In the scheme, firstly, a measuring object structure model is constructed, pretreatment is carried out based on the structure model so as to better develop 3D-DIC technical analysis, and the measuring object structure model is pressurized through a pressurizing device, and on the premise that the load can be measured, a measurable crack evolution process under the load can be effectively obtained, so that the future condition of a wharf crack is effectively predicted, the service life of the wharf is prolonged, possible harm to the wharf structure is prevented and built in advance, and the adverse effect of crack generation on normal use of the wharf is effectively avoided.
Further, the measured object structure model is an isometric scale-down model of the wharf to be detected, and specifically comprises the following steps: carrying out equal-scale reduction reinforcement arrangement according to a construction drawing of the wharf to be detected; adopt equal consumptive material, carry out the steel member setting according to the same proportion, adopt the geometric proportion to reduce the model, measure wharf overall structure crack evolution, and can implement the evolution function to the crack, under the loading effect, observe the open size of crack and direction through digital image, measure wharf structure cracked resistance performance.
Further, the preprocessing comprises the steps of polishing the acquisition surface of the structural model of the measuring object, spraying the matte white primer firstly after polishing is finished, and spraying the matte black paint in a mist manner to finish the speckle manufacturing.
Further, the preprocessing step further comprises two cameras, wherein the included angle of the two cameras is within 15 degrees, the measurement precision can be improved by controlling the angles of the cameras, and the possibility that the two videos cannot be stitched to cause program operation failure during 3D reconstruction is avoided.
Further, the preprocessing further comprises calibrating the structural model of the measured object, and through the calibration, the related parameters of the camera can be obtained and the errors of a plurality of camera belts can be eliminated.
Further, the measured object structure model is pressurized, specifically comprises preloading, standard load grading loading and grading unloading, the force applying device is preheated by adopting various pressurization modes, then cracks under different loads are obtained, the loading data are convenient to be accurate, and the measured data device can be more accurate and stable.
Furthermore, the image information of the structural model of the measured object is acquired and pressurized synchronously, and the simultaneity is ensured through the synchronous design, so that the effectiveness of analysis is ensured.
Furthermore, the image information of the structural model of the measured object is clipped into the same time axis through video acquisition, and a photo is captured at the same time interval.
Furthermore, the image information interception frequency is the same as or in equal proportional multiple with the pressurization frequency.
Further, the size and the cracking direction of the wharf structure crack are obtained through the photo information, and the video is a digital video of the crack evolution process.
Compared with the prior art, the invention has the following advantages and beneficial effects:
the embodiment of the invention also provides a wharf crack detection and prediction method, based on the 3D-DIC technology for detecting and predicting the cracks of the wharf, the opening degree and the direction of the cracks can be rapidly and nondestructively measured, the types of the cracks and the possible influence of the types of the cracks on the structure can be intuitively obtained, the load and the measurable crack evolution process under the load can be measured, the future condition of the wharf cracks can be effectively predicted, the service life of the wharf is prolonged, the possible harm of the wharf can be prevented and built in advance, and the adverse effect of the cracks on the normal use of the wharf can be effectively avoided. Meanwhile, the defects that the existing measuring technology is complex in operation, cannot obtain actual information of cracks, is low in 2D analysis precision and the like are overcome.
Drawings
The accompanying drawings, which are included to provide a further understanding of the embodiments of the invention and are incorporated in and constitute a part of this application, illustrate embodiment(s) of the invention and together with the description serve to explain the principles of the invention. In the drawings:
FIG. 1 is a schematic flow chart of a detection and prediction method according to an embodiment of the present invention;
fig. 2 is a schematic illumination diagram of two cameras according to an embodiment of the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the present invention more apparent, the present invention is further described in detail below with reference to examples and accompanying drawings, and the exemplary embodiments and descriptions thereof are only used for explaining the present invention and are not meant to limit the present invention.
In the following description, numerous specific details are set forth in order to provide a thorough understanding of the present invention. However, it will be apparent to one of ordinary skill in the art that: it is not necessary to employ these specific details to practice the present invention. In other instances, well-known structures, circuits, materials, or methods have not been described in detail in order to avoid obscuring the present invention.
Throughout the specification, reference to "one embodiment," "an embodiment," "one example," or "an example" means: the particular features, structures, or characteristics described in connection with the embodiment or example are included in at least one embodiment of the invention. Thus, the appearances of the phrase "one embodiment," "an embodiment," "one example" or "an example" in various places throughout this specification are not necessarily all referring to the same embodiment or example. Furthermore, the particular features, structures, or characteristics may be combined in any suitable combination and/or sub-combination in one or more embodiments or examples. Further, those of ordinary skill in the art will appreciate that the illustrations provided herein are for illustrative purposes and are not necessarily drawn to scale. As used herein, the term "and/or" includes any and all combinations of one or more of the associated listed items.
In the description of the present invention, the terms "front", "rear", "left", "right", "upper", "lower", "vertical", "horizontal", "upper", "lower", "inner", "outer", etc. indicate orientations or positional relationships based on those shown in the drawings, and are only for convenience of description and simplicity of description, but do not indicate or imply that the device or element being referred to must have a particular orientation, be constructed in a particular orientation, and be operated, and therefore, should not be construed as limiting the scope of the present invention.
Examples
In some embodiments, a dock breach detection and prediction method comprises the steps of:
constructing a structural model of a measured object, and preprocessing the structural model;
pressurizing the measurement object structure model, and collecting image information of the measurement object structure model;
and analyzing the acquired image information based on a 3D-DIC technology to obtain structural crack information.
In the scheme, firstly, a measuring object structure model is constructed, preprocessing is carried out based on the structure model, so that 3D-DIC technical analysis can be better developed, and the measuring object structure model is pressurized through a pressurizing device, and on the premise that the load can be measured, a measurable crack evolution process under the load can be effectively obtained, so that the future condition of a wharf crack is effectively predicted, the service life of the wharf is prolonged, possible harm to the wharf structure is prevented and built in advance, and the adverse effect of the crack generation on the normal use of the wharf is effectively avoided.
In some embodiments, the measurement object structure model is an isometric reduced model of the wharf to be detected, and specifically includes the following steps: carrying out equal-scale reduction reinforcement arrangement according to a construction drawing of the wharf to be detected; the steel member setting is carried out according to the same proportion to the adoption equal consumptive material, adopts the scaling-down model of equal proportion, measures wharf overall structure crack evolution, and can implement the evolution function to the crack, under the load effect, observes the open size and the direction of crack through the digital image, weighs wharf structure crack resistance.
Specifically, as a person skilled in the art will know, the wharf structure is usually a reinforced concrete structure, the material selection for the structural model of the measurement object is the same as the material of the specific structure to be detected, the corresponding geometric proportion conversion is performed according to the construction drawing of the structure to be detected for the specific size, the reinforcement value is converted according to the hydraulic reinforced concrete structure calculation formula for the specific reinforcement, the specific reinforcement conversion is performed in the prior art, and details are not repeated herein.
In some embodiments, the preprocessing includes polishing the acquisition surface of the measurement object structure model, and after polishing, spraying a matte white primer, and then spraying a matte black paint in a mist form to complete the speckle manufacturing.
Specifically, as a person skilled in the art should know, when performing speckle, it should be ensured that the speckle is a small speckle, so as to reduce the occurrence probability of a large speckle, and facilitate image matching and post-selection analysis.
In some embodiments, the preprocessing step further includes setting two cameras, an included angle between the two cameras is within 15 °, and the measurement accuracy can be improved by controlling the angles of the cameras, and meanwhile, the possibility of program operation failure caused by the fact that two videos cannot be stitched during 3D reconstruction is avoided.
Specifically, the camera is a high-speed camera.
Wherein the included angle of the two cameras is within 15 degrees, in order to ensure that the two cameras have enough overlapping area and acceptable distortion level; specifically, as shown in fig. 2, the area a is an irradiation area of one of the cameras, the area B is an irradiation area of the other camera, and the corresponding shaded portion is an overlapping area.
In some embodiments, the preprocessing further includes calibrating the structural model of the measurement object, and by calibrating, it is possible to obtain relevant parameters of the camera and eliminate errors of multiple camera bands.
It should be noted that, the specific calibration is performed by using a calibration plate with checkerboard and a calibration column, and it should be ensured that the marking points on the calibration plate are identifiable and cover the whole view field range for the calibration of the specific calibration plate.
Specifically, in order to ensure the shooting quality, all key nodes of the measurement object structure model, hollow areas between pile foundations, piles and main acquisition areas should be calibrated.
In some embodiments, the structural model of the measurement object is pressurized, specifically including preloading, graded loading and graded unloading of standard loads, the force applying device is preheated by adopting a plurality of pressurization modes, and then cracks under different loads are obtained, so that loading data are accurate, and a measurement data device can be more accurate and stable.
In some embodiments, the image information of the structural model of the measurement object is acquired and pressurized synchronously, and the simultaneity is ensured through synchronous design, so that the effectiveness of analysis is ensured.
Furthermore, the image information of the structural model of the measured object is clipped into the same time axis through video acquisition, and a photo is captured at the same time interval.
In particular, the time interval is not limited, as one skilled in the art will appreciate, in order to ensure that more cracks under load can be captured, a shorter time interval is preferred.
Further, the image information interception frequency is the same as the pressurization frequency or is an equal proportional multiple.
In some embodiments, the size and the fracture direction of the wharf structure fracture are obtained through the photo information, and the video is a digital video of the fracture evolution process.
Specifically, through the photo analysis, the size and the cracking direction of the wharf structure crack under the corresponding load can be effectively obtained, the crack measurement is completed, the complete loading image is obtained through the digital video, and the crack evolution process can be visually displayed.
The above-mentioned embodiments are intended to illustrate the objects, technical solutions and advantages of the present invention in further detail, and it should be understood that the above-mentioned embodiments are merely exemplary embodiments of the present invention, and are not intended to limit the scope of the present invention, and any modifications, equivalent substitutions, improvements and the like made within the spirit and principle of the present invention should be included in the scope of the present invention.

Claims (10)

1. A dock crack detection and prediction method is characterized by comprising the following steps:
constructing a structural model of the measured object, and preprocessing the structural model;
pressurizing the measurement object structure model, and acquiring image information of the measurement object structure model;
and analyzing the acquired image information based on a 3D-DIC technology to obtain structural crack information.
2. The dock crack detection and prediction method of claim 1, wherein the measurement object structure model is an isometric shrinkage model of the dock to be detected, and specifically comprises the following steps: carrying out isometric reduced reinforcement distribution according to the construction drawing of the wharf to be detected; and the steel members are arranged according to the same proportion by adopting the same consumable materials.
3. The dock crack detection and prediction method of claim 1, wherein the preprocessing comprises polishing the acquisition surface of the measurement object structure model, spraying a matte white primer, and spraying a matte black paint in a mist form to produce speckles.
4. The dock crack detection and prediction method of claim 3, wherein the preprocessing step further comprises two cameras, and an included angle between the two cameras is within 15 °.
5. The dock crack detection and prediction method of claim 4, wherein the preprocessing further comprises calibrating the measurement object structural model.
6. The dock crack detection and prediction method of claim 1, wherein the measurement object structural model is pressurized, and specifically comprises preloading, graded loading of standard loads, and graded unloading.
7. The dock crack detection and prediction method of claim 1, wherein the image information of the structural model of the measurement object is collected and pressurized synchronously.
8. The method of claim 7, wherein the image information of the structural model of the object is captured by video, edited into the same time axis, and a picture is taken at the same time interval.
9. The method of claim 8, wherein image capture frequency is the same as the compression frequency or is an equal proportional multiple.
10. The dock crack detection and prediction method of claim 8, wherein the picture information is used to obtain the size and the crack direction of the dock structure crack, and the video is a digital video of a crack evolution process.
CN202210458719.4A 2022-04-28 2022-04-28 Wharf crack detection and prediction method Pending CN114782382A (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN202210458719.4A CN114782382A (en) 2022-04-28 2022-04-28 Wharf crack detection and prediction method

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN202210458719.4A CN114782382A (en) 2022-04-28 2022-04-28 Wharf crack detection and prediction method

Publications (1)

Publication Number Publication Date
CN114782382A true CN114782382A (en) 2022-07-22

Family

ID=82432600

Family Applications (1)

Application Number Title Priority Date Filing Date
CN202210458719.4A Pending CN114782382A (en) 2022-04-28 2022-04-28 Wharf crack detection and prediction method

Country Status (1)

Country Link
CN (1) CN114782382A (en)

Similar Documents

Publication Publication Date Title
EP3315961B1 (en) Wrinkle characterization and performance prediction for composite structures using ultrasonic and optical inspection
CN108844978B (en) Novel method for detecting internal defects of honeycomb
CN104483330A (en) Concrete surface crack real-time monitoring system and cracking risk dynamic assessment method
Lovas et al. Terrestrial laser scanning in deformation measurements of structures
CN115564337A (en) Quality evaluation method and system for concrete pipe pile
CN108469436A (en) A kind of crack of metal surface detection method and detecting system
CN115371651A (en) House building quality evaluation method and system
CN113222937A (en) Detection method and detection device for appearance peripheral surface defects of nuclear fuel pellet
CN116519477B (en) Rock instability judging method, device and storage medium
CN108020197B (en) Wall deformation detection method
Sharma et al. Structural health monitoring using image processing techniques-a review
Lorenzi et al. Application of ultrasonic pulse velocity to detect concrete flaws
CN114782382A (en) Wharf crack detection and prediction method
KR20190130257A (en) Prediction method for compression strength of concrete structure based on deep convolutional neural network algorithm and prediction system using the method
CN111999195A (en) Nondestructive testing system for structural defects of concrete
CN111879918A (en) Nondestructive testing system and method for building concrete quality
CZARNECKI et al. A nondestructive method of investigating the morphology of concrete sur-faces by means of newly designed 3D scanner
Boylan et al. Development of a direct simple shear apparatus for peat soils
CN107515247B (en) A kind of composite panel part splitting method for detecting position
Tannert et al. RILEM TC 215 In-situ assessment of structural timber: Report on activities and application of assessment methods
Nagrodzka-Godycka et al. State-of-the-art framework for high-speed camera and photogrammetric use in geometry evaluation of prestressed concrete failure process
Meng et al. Applications of 3D scanning and digital image correlation in structural experiments
Dipova Automated strain measurements in uniaxial testing via computer vision
Aksamitauskas et al. Investigation of error sources measuring deformations of engineering structures by geodetic methods
Deresse et al. Fracture mode analysis of cementitious mortars by simultaneous application of 4D-XCT and acoustic emission technique

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