CN111561885B - Prefabricated part strip-shaped groove joint surface roughness evaluation method based on white light scanning - Google Patents
Prefabricated part strip-shaped groove joint surface roughness evaluation method based on white light scanning Download PDFInfo
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Abstract
The invention discloses a prefabricated part strip-shaped groove joint surface roughness evaluation method based on white light scanning, which comprises the steps of firstly arranging a plurality of measuring area prepared areas on a prefabricated part strip-shaped groove joint surface, scanning one by utilizing a handheld three-dimensional white light scanner to obtain original three-dimensional point cloud data, carrying out coordinate conversion on the data, then intercepting a square measuring area by utilizing a plane intercepting function, carrying out plane fitting on the three-dimensional point cloud data in the measuring area to obtain an average height reference surface, and carrying out partitioning and different color display according to roughness design index values to obtain a measuring area chromatogram; according to the measuring region chromatogram, sequentially selecting 5 groups of measuring point pairs corresponding to concave-convex positions according to the priority, and calculating to obtain a roughness representative value of the measuring region; and integrating the roughness test result of each test area, and comparing the roughness test result with the roughness design index value to obtain the evaluation result of the roughness of the joint surface of the prefabricated part. The method is simple to operate, the visual chromatogram is used for assisting in selecting the measuring point, and the measuring precision is high.
Description
Technical Field
The invention relates to the technical field of assembly type buildings, in particular to a prefabricated part strip-shaped groove joint surface roughness evaluation method based on white light scanning.
Background
The assembly type building has the advantages of high industrialization level, quick installation and construction, labor cost reduction, energy conservation, environmental protection and the like, and becomes the mainstream direction for the development of the domestic and foreign building industry. In the fabricated concrete structure, a large number of joints exist, and the joints are often located at the positions with large stress or complex structure, so that the performance of the joints has great influence on the bearing capacity and the rigidity of the structure.
Research results on the shear performance of joint surfaces show that the roughness of the joint surfaces of the prefabricated parts is an important factor influencing the shear performance of the joint surfaces, and the joint surfaces with different roughness have obvious influence on the shear performance of the joint surfaces. Therefore, the rough surface treatment is required according to the design requirement when the prefabricated part joint surface is manufactured according to the JGJ 1-2014 regulation of the industry standard 'assembly type concrete structure technical regulation', when the design has no specific requirement, the rough surface can be manufactured by chemical treatment, roughening or chiseling and the like, and the regulation is that the area of the rough surface is not less than 80 percent of the joint surface, the concave-convex depth of the rough surface of the prefabricated plate is not less than 4mm, and the concave-convex depth of the rough surface of the prefabricated concrete beam end, the column end and the wall end is not less than 6 mm. Meanwhile, the national standard GB50204-2015 of acceptance of construction quality of concrete structure engineering takes the quality of rough surfaces and the number of key grooves of the prefabricated parts as acceptance content of the prefabricated parts entering the field. However, how roughness is determined and evaluated is a key issue.
There are two definitions of roughness, one being the mean roughness Rm and the other being the peak-to-valley roughness Rz, according to the model code (MC 2010) issued by the international structural concrete association (FIB). The average roughness Rm represents the average deviation of the edge profile of the concrete surface from the center line, the peak-valley roughness Rz represents the difference in the peak-valley height of the surface profile, and it is obvious that the peak-valley roughness Rz is used as the rough surface concave-convex depth index defined in JGJ 1 to 2014. At present, according to two definitions of roughness, the detection methods for the surface roughness of the prefabricated part are divided into two main categories, namely a perfusion volume method and a depth measurement method.
The pouring volume method mainly comprises a sand paving method, a silicon powder stacking method and a fine iron bead measuring method, the test result is the average roughness Rm, and the judgment cannot be directly carried out according to the rough surface concave-convex depth index given in JGJ 1-2014. Although researchers have proposed that the results of the sand-laying method be converted into the peak-to-valley roughness Rz by an estimation coefficient, since the shape of the irregularities of the bonding surface is irregular, the determination of the estimation coefficient becomes a great problem. Furthermore, the perfusion volume method itself has certain limitations and disadvantages: (1) the method can only be applied to the condition that the measured joint surface is a horizontal surface; (2) the laying height of the pouring substance in the measuring area is flush with the highest point of the joint surface, and the pouring volume exceeds the filling volume actually required by most pits or grooves in the measuring area, so that certain errors are brought; (3) the operation process is relatively complicated.
The depth measurement method mainly comprises a concave-convex instrument test method and a reference surface depth measurement ruler method, wherein the concave-convex instrument test method can only be carried out in a laboratory at present, the reference surface depth measurement ruler method can be operated on site, the method comprises the steps of tightly attaching a transparent porous reference plate to a rough surface of a prefabricated part, measuring the concave-convex depth by a probe of the depth measurement ruler penetrating through a hole of the transparent porous reference plate, and judging according to the rough surface concave-convex depth index given in JGJ 1-2014 in principle, wherein the test result is the peak valley roughness Rz. However, some researchers have noticed that, in JGJ 1-2014, only the requirement of the "rough surface concave-convex depth" is provided, and the requirement of the distribution density of the "pits or grooves" on the plane is neglected, so that the installation effect of the rough surface cannot be guaranteed, and the potential hazard is easily brought. The method is also a disadvantage of the reference surface depth measuring ruler method relative to the pouring volume method, and the pouring volume method considers the height difference of the pits or the grooves and the distribution density of the pits or the grooves.
In order to solve the above problems, researchers have proposed, based on the existing reference surface depth measurement ruler method, that the depth value of the rough surface 'concave-convex on the unit area' is to be tested as an evaluation index, the distribution density of the 'pits or grooves' is reflected by reducing the given area of the measurement area, at least one position of the 'concave-convex depth' of the rough surface in the specified measurement area is required to reach the specified depth, and a large number of experimental studies are carried out to obtain that the measurement area of the point-shaped pit rough surface can be a circle with the diameter of 60mm, and the measurement area of the strip-shaped groove rough surface can be a circle with the diameter of 100 mm. The method has certain rationality for the following reasons: the rough surface is made of concrete as a base material, and when the rough surface is formed, the concrete is generally in an initial setting state or early strength due to generally higher compressive strength of aggregate in the concrete, so that the rough aggregate is not easily damaged, namely, pits or grooves of the rough surface mainly exist among the rough aggregates; the diameters of the measuring areas of the rough surfaces of the point-shaped pits and the strip-shaped grooves are respectively set to be 60mm and 100mm, are approximately 2-3 times of the maximum aggregate particle size (the maximum aggregate particle size of concrete is about 30mm generally), not only is a space reserved for the existence of the pits or the grooves in the measuring areas, but also the distribution density of the pits or the grooves can be inspected.
However, it is also noted that the peak-valley roughness Rz refers to the height difference between adjacent peaks and valleys, and the above method still does not solve the problem that in the reference surface depth measurement method, the reference surface only represents the reference heights of several higher bumps due to the difference in the heights of the bumps on the rough surface, and the depth measurement values at multiple positions are "amplified". In addition, in order to ensure that the depth measuring ruler can measure the lowest point depth of the pit or the groove in the measuring area, the method adopts the original visual observation and the mode of increasing the measuring times at different positions, so that the possibility of missing measurement exists. Furthermore, the rough surface of the strip-shaped groove formed by the roughening method has great morphological characteristics difference with the rough surface of the dot-shaped pit formed by the chemical treatment aggregate exposure method, a plurality of continuous grooves and convex strips usually appear in a single measuring area (a circle with the diameter of 100 mm) of the rough surface of the strip-shaped groove, and the judgment of the rough surface is qualified only by that the depth of at least one concave-convex part in the measuring area reaches the specified depth, and the rationality of the rough surface needs to be questioned.
In summary, it is necessary to provide a method for evaluating roughness of a strip-shaped groove junction surface of a prefabricated part, which has a test result directly indicating the depth of the concave-convex part, and is advanced in technology, fast, efficient, accurate and comprehensive.
Disclosure of Invention
The invention aims to provide a prefabricated part strip groove junction surface roughness evaluation method based on white light scanning, which is simple and reliable to operate, reasonable in measuring point selection, high in measuring precision and capable of accurately evaluating.
In order to solve the technical problem, the invention provides a prefabricated part strip groove joint surface roughness evaluation method based on white light scanning, which comprises the following steps of:
s1, arranging a plurality of measuring area preparation areas on the strip-shaped groove joint surface of the prefabricated part, and marking, wherein the area of each measuring area preparation area at least contains a square with the side length of 150 mm;
s2: scanning the measuring area preparation areas arranged in the step S1 one by using a handheld three-dimensional white light scanner to obtain original three-dimensional point cloud data;
s3: performing coordinate conversion on the original three-dimensional point cloud data of the preparation area of one of the measurement areas, wherein the plane of the strip-shaped groove joint surface of the prefabricated part of the three-dimensional point cloud data subjected to the coordinate conversion is an x-y plane, and the plane vertical to the x-y plane is a z-axial direction;
s4: intercepting a square measuring area in a measuring area preparation area by utilizing a plane intercepting function of point cloud data processing software, wherein when the groove distance has no design requirement, the side length of the measuring area is 2-3 times of the maximum aggregate particle size of the concrete, and when the groove distance has a clear design requirement, the side length of the measuring area is 2 times of the design distance;
s5: performing plane fitting on the three-dimensional point cloud data in the measuring area to obtain an average height reference surface which is used as a z-axis zero point;
s6: according to the roughness design index value R, dividing an interval (0, R/2) above an average height datum plane into an upward convex base area, dividing an interval (minus R/2,0) below the average height datum plane into a downward concave base area, sequentially dividing an upward convex strengthening area and an upward convex overrun area above the upward convex base area, sequentially dividing a downward concave strengthening area and a downward concave overrun area below the downward concave base area, and then differentially displaying the divided areas through different colors by utilizing the chromatographic analysis function of point cloud data processing software to form color segments to obtain a chromatogram of a detection area;
s7: according to a chromatogram of a measuring area and by combining morphological characteristics of strip-shaped grooves, an upper convex overrun area is matched with a lower concave overrun area as a first priority, an upper convex strengthening area is matched with a lower concave overrun area as a second priority, an upper convex strengthening area is matched with a lower concave overrun area as a third priority, an upper convex base area is matched with a lower concave overrun area as a fourth priority, an upper convex base area is matched with a lower convex base area as a fifth priority, a lower convex base area is matched with a upper convex base area as a fifth priority, a upper convex base area is matched with a lower concave base area as a sixth priority, 5 groups of measuring point pairs corresponding to concave-convex positions are sequentially selected on adjacent grooves and convex lines in the measuring area according to a specified priority, and deviation heights of the measuring point pairs relative to an average height reference plane are obtained by using point cloud data processing software;
s8: calculating the depth values of the concave-convex portions of the 5 sets of measurement points in step S7, respectively, removing the maximum value and the minimum value, and taking the average value of the remaining three values as the roughness representative value mu of the measurement area1；
S9: repeating the steps S3-S8 for the rest of each test area preparation area to obtain the roughness representative value mu of each test areaj；
S10: and synthesizing the roughness test results of the test areas to obtain an estimated value of the roughness of the joint surface of the tested prefabricated part, and comparing the estimated value with a roughness design index value R to obtain an evaluation result of the roughness of the joint surface of the prefabricated part.
Further, in step S1, the number of the preparation areas in the measurement area is not less than 4, and the preparation areas are uniformly distributed on the bonding surface of the strip-shaped groove of the prefabricated part, and the frame line of the preparation areas in the measurement area can be manually drawn by using a marker pen.
Further, in step S4, the measurement area is distributed in the central position of the measurement area preparation area, and when the groove pitch has no design requirement, the side length of the measurement area is 90 mm.
Further, in step S6, with the average height reference plane as the z-axis zero point, the section above the upper convex base region (R/2, 5R/8) is divided into upper convex reinforced regions, the section below the lower convex base region [ -5R/8, R/2) is divided into upper convex regions, and the section below the lower concave base region [ -5R/8, R/8) is divided into lower concave regions, and the section (-infinity, 5R/8) is divided into lower concave regions.
Further, in step S6, when each partition is chromatographed, the color segments are set to 6 segments, and there should be a clear difference between the color segments.
Further, in step S7, each set of measurement point pairs includes two measurement points, one measurement point is selected at the middle of the groove in the width direction, the other measurement point is selected at the middle of the adjacent convex strip in the width direction, and the connection line of the two measurement points is substantially perpendicular to the length direction of the groove, and the deviation height H of the measurement point in the groove relative to the reference plane of the average height is obtained by using the point cloud data processing softwareaAnd the deviation height H of the measuring point on the convex strip relative to the average height reference surfacet(ii) a The distance between the measuring points in the same groove is not less than 15 mm, and rechecking can be carried out by using the distance measuring function of the point cloud data processing software.
Further, in step S7, all the pairs meeting the current priority requirement should be included in the priority order before the full 5 sets of pairs are not selected.
Further, in step S7, if 5 sets of measurement point pairs are not selected from the first three priorities and the grooves in the chromatogram of the measurement area are not displayed in a stripe shape, when the next three priorities are entered, the concave base area may be further divided into a concave base I area in the range of [ -R/4, 0) and a concave base II area in the range of [ -R/2, -R/4), the convex base area may be further divided into a convex base I area in the range of (0, R/4) and a convex base II area in the range of (R/4, R/2), and when the chromatographic analysis is performed on each divided area again, the color segments are set to 8 segments to facilitate the selection of the measurement point pairs according to the principle that the concave-convex depth is from large to small.
Further, in step S8, the depth value of the concave-convex of the single group of the measurement point pair is equal to the deviation height H of the measurement point on the convex strip relative to the average height reference planetSubtracting the deviation height H of the measuring point in the groove relative to the average height reference surfacea。
Further, in step S10, the average value μ of the roughness representative values of the respective regions, the standard deviation S of the roughness representative values of the respective regions, and the variation coefficient η of the roughness representative values of the respective regions are calculated as follows:
in the formula: n is the number of test areas;
μj-a roughness representative value for the jth measurement area;
after obtaining mu and eta, the estimated value mu of the roughness of the joint surface of the prefabricated part is determined according to the following specificatione：
When η is not more than 0.3, μe＝μ
When the eta is greater than 0.3,
in the formula: mu.sj,min-the minimum of the roughness representative values of all measurement areas;
finally, estimating the roughness of the joint surface of the prefabricated part and roughnessComparing the design index value R, if mueAnd if not, judging that the roughness meets the requirement, otherwise, judging that the roughness does not meet the requirement.
The invention has the beneficial effects that:
1. according to the method, the point cloud data of the rough surface of the strip-shaped groove of the prefabricated part can be rapidly acquired by adopting a three-dimensional white light scanning mode, the roughness detection result is obtained through image processing and computational analysis, the complicated and time-consuming detection process of the existing method is avoided, convenience and rapidness are realized, and the detection efficiency is high.
2. The distance measurement function of the point cloud data processing software is adopted to automatically calculate the deviation heights of the grooves, the convex strips and the average height reference surface, the data are accurate, and the accuracy of the detection result is greatly improved.
3. The division and pairing of the intervals with different heights can provide a standardized reference for measuring point selection, so that the measuring point selection efficiency and accuracy are effectively improved.
4. The chromatographic analysis function is adopted to display the divided regions in different colors, so that the measuring point pairs can be accurately and reasonably selected, the pertinence is strong, and the data uncertainty caused by blind selection is avoided.
Drawings
FIG. 1 is a flow chart of the present invention;
FIG. 2 is a schematic view of a first measurement area of the present invention when two measurement points are selected in the same groove;
FIG. 3 is a schematic diagram of the selection of five measurement points of measurement area one according to the present invention;
FIG. 4 is a schematic diagram of five measurement point selections in measurement area two according to the present invention;
FIG. 5 is a schematic diagram of five test point selections in test area three of the present invention;
FIG. 6 is a schematic illustration of the invention for selecting points within a six segment partition for zone four;
FIG. 7 is a schematic illustration of the point selection within an eight segment partition for zone four of the present invention;
FIG. 8 is a schematic representation of the selection of five stations in zone five of the present invention.
Detailed Description
The present invention is further described below in conjunction with the following figures and specific examples so that those skilled in the art may better understand the present invention and practice it, but the examples are not intended to limit the present invention.
Referring to fig. 1, an embodiment of the method for evaluating roughness of a strip-shaped groove joint surface of a prefabricated part based on white light scanning according to the present invention takes a prefabricated concrete composite slab with a strip-shaped groove joint surface as an example for evaluation, and includes the following steps:
firstly, 5 measuring area preparation areas are arranged on the joint surface of the strip-shaped groove of the precast concrete laminated slab and are uniformly distributed on the joint surface of the strip-shaped groove of the precast concrete laminated slab, and the frame line of the measuring area preparation areas can be manually drawn by a marking pen and marked, wherein the area of the measuring area preparation areas can accommodate a square with the side length of 150 mm;
then, scanning 5 measuring area preparation areas one by using a handheld three-dimensional white light scanner to obtain original three-dimensional point cloud data;
then, carrying out coordinate conversion on the original three-dimensional point cloud data of the preparation area of the first measurement area, wherein the plane of the three-dimensional point cloud data subjected to coordinate conversion and the prefabricated concrete laminated slab strip-shaped groove joint surface is an x-y plane, and the plane vertical to the x-y plane is a z-axis; cutting a square measuring area, namely a first measuring area, from a first measuring area preparation area by using a plane cutting function of point cloud data processing software, wherein the side length of the measuring area is 2-3 times of the maximum aggregate grain diameter of the concrete because the groove spacing on the precast concrete composite slab has no design requirement, and the distance is 90 mm, and performing plane fitting on three-dimensional point cloud data in the measuring area to obtain an average height datum plane which is used as a z-axis zero point;
according to the roughness design index value R (R is 4mm) of the precast concrete composite slab, dividing the interval above (0, R/2) the average height reference plane into an upper convex foundation area, dividing the interval below (R/2, 0) the average height reference plane into a lower concave foundation area, and the section above the upper convex base region (R/2, 5R/8) is divided into a convex upper limit region, the section below the concave base region (5R/8, + ∞) is divided into a convex upper limit region, the section below the concave base region (5R/8, R/2) is divided into a concave lower limit region, the section below the concave base region (infinity, 5R/8) is divided into a concave limit region, then, by utilizing the chromatographic analysis function of point cloud data processing software, the divided regions are displayed in a different color difference mode to form color segments, and a chromatogram map of the measuring region is obtained;
according to the chromatogram of the measuring area and by combining the morphological characteristics of the strip-shaped grooves, the color segments for carrying out chromatographic analysis on each divided area are carried out on the basis of 6 segments, the colors of the 6 color segments are sequentially set to be red, yellow, green, purple, light blue and dark blue from the upper convex overrun area to the lower concave overrun area, obvious differences are formed among the color segments (the schematic diagram is shown after the gray scale in the attached drawing, the color effect is more visual and obvious), and the priority pairing sequence is specified:
1) the lower concave overrun area and the upper convex overrun area are in first priority;
2) the lower concave overrun area is matched with the upper convex reinforced area, and the upper convex overrun area is matched with the lower concave reinforced area as a second priority;
3) the lower concave strengthening area and the upper convex strengthening area have the third priority;
4) the lower concave overrun area is matched with the upper convex basic area, and the upper convex overrun area is matched with the lower concave basic area to have a fourth priority;
5) the lower concave strengthening area is matched with the upper convex base area, the upper convex strengthening area is matched with the lower concave base area, and the fifth priority is set;
6) the concave base area and the convex base area are matched with a sixth priority;
sequentially selecting 5 groups of measuring point pairs corresponding to concave-convex positions on adjacent grooves and convex strips in a measuring area according to a specified priority, wherein each group of measuring point pairs comprises two measuring points, one measuring point is selected in the middle of the width direction in each groove, the other measuring point is selected in the middle of the width direction in each adjacent convex strip, the connecting line of the two measuring points is basically vertical to the length direction of each groove, all measuring point pairs meeting the current priority requirement are all included in the priority sequence before the 5 groups of measuring point pairs are not selected in the selecting process, and the deviation height H of the measuring points in the grooves relative to the average height reference surface is obtained by point cloud data processing softwareaAnd the deviation height H of the measuring point on the convex strip relative to the average height reference surfacetThen a single set of depth values of the bumpsRd＝Ht-Ha(ii) a Measuring points in the same groove are not required to be less than 15 mm in distance, rechecking can be carried out by using a distance measurement function of point cloud data processing software, as shown in figure 2, after 5 groups of measuring point pairs corresponding to concave-convex positions are selected, as shown in figure 3, concave-convex depth values of the 5 groups of measuring point pairs are calculated, and after the maximum value and the minimum value are removed, the average value of the remaining three values is used as a roughness representative value mu of the measuring area1；
Then, repeatedly measuring and calculating the remaining four measuring area preparation areas to obtain the roughness representative value mu of each measuring areaj；
Sequentially selecting 5 groups of measuring point pairs corresponding to the concave-convex positions on the adjacent grooves and convex strips in the second measuring area according to the specified priority, and referring to fig. 4;
sequentially selecting 5 groups of measuring point pairs corresponding to the concave-convex positions on the adjacent grooves and convex strips in the measuring area III according to the specified priority, and referring to the figure 5;
when four measuring point pairs in the measuring area are selected, only two groups of measuring point pairs can be selected in the first three priorities, grooves in a chromatogram of the measuring area are not obviously displayed in a strip shape, as shown in figure 6, after the selection of the two measuring point pairs is finished, a concave basic area I in an interval of [ -R/4, 0) and a concave basic area II in an interval of [ -R/2, -R/4) are needed to be further divided into a convex basic area I in an interval of (0, R/4) and a convex basic area II in an interval of (R/4, R/2) to form 8 sections of colors, the colors of 8 color sections are sequentially set to be red, orange, yellow, green, purple, brownish red, light blue and dark blue from the convex overrun area to the concave overrun area, the distinguishing is more obvious, and the condition that the 6 sections of colors cannot be separately selected can be refined, the selection requirement is met, then the selection of the measuring point pair is continued according to the selection principle that the concave-convex depth is from large to small, and the method is shown in the figure 7;
sequentially selecting 5 groups of measuring point pairs corresponding to the concave-convex positions on the adjacent grooves and convex strips in the measuring area five according to the specified priority, and referring to fig. 8;
finally, the values of all pairs of the test points in the five test areas are obtained, as shown in the following table:
| measuring area | Rd,1 | Rd,2 | Rd,3 | Rd,4 | Rd,5 | μj |
| Measuring area 1 | 5.7012 | 5.3117 | 5.3790 | 5.0705 | 5.0614 | 5.2 |
| Measuring area 2 | 5.6958 | 5.6238 | 5.6600 | 5.3441 | 5.4517 | 5.6 |
| Measuring area 3 | 9.9311 | 6.0607 | 5.2604 | 5.7262 | 5.2847 | 5.7 |
| Measuring area 4 | 7.3785 | 4.0024 | 3.8966 | 3.3025 | 3.2467 | 3.7 |
| Measuring area 5 | 6.0121 | 5.8423 | 5.8497 | 5.6342 | 4.9187 | 5.8 |
The roughness representative values of the five measurement areas are respectively as follows:
μ1＝5.2mm，μ2＝5.6mm，μ3＝5.7mm，μ4＝3.7mm，μ5＝5.8mm，
according to the formula
Calculating to obtain:
μ＝5.2mm
according to the formula
And
calculating to obtain:
s＝0.86mm，η＝0.16<0.3
since eta is less than or equal to 0.3, the estimated value mueMu, i.e. mue＝5.2mm
And (4) final judgment: mu.se＝5.2mm>4.0mm, and judging that the surface roughness of the precast concrete composite slab meets the requirement.
In one embodiment, when a square measuring area is cut by using a plane cutting function of point cloud data processing software, when the groove space on the precast concrete laminated slab has a clear design requirement, the side length of the measuring area is 2 times of the design space.
The above-mentioned embodiments are merely preferred embodiments for fully illustrating the present invention, and the scope of the present invention is not limited thereto. The equivalent substitution or change made by the technical personnel in the technical field on the basis of the invention is all within the protection scope of the invention. The protection scope of the invention is subject to the claims.
Claims (10)
1. A prefabricated part strip-shaped groove joint surface roughness evaluation method based on white light scanning is characterized by comprising the following steps:
s1, arranging a plurality of measuring area preparation areas on the strip-shaped groove joint surface of the prefabricated part, and marking, wherein the area of each measuring area preparation area at least contains a square with the side length of 150 mm;
s2: scanning the measuring area preparation areas arranged in the step S1 one by using a handheld three-dimensional white light scanner to obtain original three-dimensional point cloud data;
s3: performing coordinate conversion on the original three-dimensional point cloud data of the preparation area of one of the measurement areas, wherein the plane of the strip-shaped groove joint surface of the prefabricated part of the three-dimensional point cloud data subjected to the coordinate conversion is an x-y plane, and the plane vertical to the x-y plane is a z-axial direction;
s4: intercepting a square measuring area in a measuring area preparation area by utilizing a plane intercepting function of point cloud data processing software, wherein when the groove distance has no design requirement, the side length of the measuring area is 2-3 times of the maximum aggregate particle size of the concrete, and when the groove distance has a clear design requirement, the side length of the measuring area is 2 times of the design distance;
s5: performing plane fitting on the three-dimensional point cloud data in the measuring area to obtain an average height reference surface which is used as a z-axis zero point;
s6: according to the roughness design index value R, dividing an interval (0, R/2) above an average height datum plane into an upward convex base area, dividing an interval (minus R/2,0) below the average height datum plane into a downward concave base area, sequentially dividing an upward convex strengthening area and an upward convex overrun area above the upward convex base area, sequentially dividing a downward concave strengthening area and a downward concave overrun area below the downward concave base area, and then differentially displaying the divided areas through different colors by utilizing the chromatographic analysis function of point cloud data processing software to form color segments to obtain a chromatogram of a detection area;
s7: according to a chromatogram of a measuring area and by combining morphological characteristics of strip-shaped grooves, an upper convex overrun area is matched with a lower concave overrun area as a first priority, an upper convex strengthening area is matched with a lower concave overrun area as a second priority, an upper convex strengthening area is matched with a lower concave overrun area as a third priority, an upper convex base area is matched with a lower concave overrun area as a fourth priority, an upper convex base area is matched with a lower convex base area as a fifth priority, a lower convex base area is matched with a upper convex base area as a fifth priority, a upper convex base area is matched with a lower concave base area as a sixth priority, 5 groups of measuring point pairs corresponding to concave-convex positions are sequentially selected on adjacent grooves and convex lines in the measuring area according to a specified priority, and deviation heights of the measuring point pairs relative to an average height reference plane are obtained by using point cloud data processing software;
s8: calculating the depth values of the concave-convex portions of the 5 sets of measurement points in step S7, respectively, removing the maximum value and the minimum value, and taking the average value of the remaining three values as the roughness representative value mu of the measurement area1；
S9: repeating the steps S3-S8 for the rest of each test area preparation area to obtain the roughness representative value mu of each test areaj；
S10: and synthesizing the roughness test results of the test areas to obtain an estimated value of the roughness of the joint surface of the tested prefabricated part, and comparing the estimated value with a roughness design index value R to obtain an evaluation result of the roughness of the joint surface of the prefabricated part.
2. The method for evaluating the roughness of the bonding surface of the strip-shaped groove of the prefabricated part based on the white light scanning as claimed in claim 1, wherein in the step S1, the number of the prepared areas of the measuring area is not less than 4, the prepared areas of the measuring area are uniformly distributed on the bonding surface of the strip-shaped groove of the prefabricated part, and the frame line of the prepared areas of the measuring area can be drawn by hand with a marker pen.
3. The method for evaluating the roughness of the bonding surface of the strip-shaped groove of the prefabricated part based on white light scanning as claimed in claim 1, wherein in the step S4, the measuring area is distributed at the central position of the preparation area of the measuring area, and when the groove pitch has no design requirement, the side length of the measuring area is 90 mm.
4. The method for evaluating the roughness of a bonding surface of a strip-shaped groove of a prefabricated member based on white light scanning as claimed in claim 1, wherein in step S6, the interval above (R/2, 5R/8) the upper convex base region is divided into upper convex strengthening regions, the interval below (5R/8, + ∞) the lower concave base region is divided into upper convex limit-exceeding regions, the interval below (5R/8, R/2) the lower concave base region is divided into lower concave strengthening regions, and the interval (-infinity 5R/8) is divided into lower concave limit-exceeding regions.
5. The method for evaluating the roughness of a bonding surface of a strip groove of a prefabricated part based on a white light scanning as claimed in claim 1 or 4, wherein in the step S6, when each division area is subjected to a chromatographic analysis, the color segments are set to 6 segments, and a difference between the color segments should be obvious.
6. The method for evaluating the roughness of the bonding surface of the strip-shaped groove of the prefabricated part based on the white light scanning as claimed in claim 1, wherein in the step S7, each group of measuring points comprises two measuring points, one measuring point is selected from the middle part of the groove in the width direction, the other measuring point is selected from the middle part of the adjacent convex strip in the width direction, the connecting line of the two measuring points is basically vertical to the length direction of the groove, and the point cloud data processing software is used for obtaining the roughness of the bonding surface of the strip-shaped groove of the prefabricatedThe deviation height H of the measuring point in the groove relative to the average height datum planeaAnd the deviation height H of the measuring point on the convex strip relative to the average height reference surfacet(ii) a The distance between the measuring points in the same groove is not less than 15 mm, and rechecking can be carried out by using the distance measuring function of the point cloud data processing software.
7. The method for evaluating the roughness of the bonding surface of the strip-shaped groove of the prefabricated part based on the white light scanning as claimed in claim 1 or 6, wherein in step S7, all the pairs of the test points meeting the current priority requirement are included in the priority order before the 5 sets of the pairs of the test points are not selected.
8. The method for evaluating the roughness of the bonding surface of the strip-shaped groove of the prefabricated part based on white light scanning as claimed in claim 1 or 4, it is characterized in that in step S7, if 5 sets of measuring point pairs are not selected from the first three priority levels and the grooves in the measuring chromatogram are not obviously displayed in a strip shape, when entering the last three priorities, the concave basic area can be further divided into a concave basic I area in an interval of [ -R/4, 0 ] and a concave basic II area in an interval of [ -R/2, -R/4), the convex basic area is divided into a convex basic I area in an interval of (0, R/4) and a convex basic II area in an interval of (R/4, R/2), and when chromatographic analysis is carried out on each divided area again, the color sections are set to be 8 sections, so that the selection of the measuring point pairs is conveniently carried out according to the selection principle that the concave-convex depth is from large to small.
9. The method for evaluating the roughness of the bonding surface of the strip-shaped groove of the prefabricated part based on the white light scanning as claimed in claim 1, wherein in the step S8, the depth value of the concave-convex points of the single group of the measuring points is equal to the deviation height H of the measuring points on the convex strips relative to the average height reference surfacetSubtracting the deviation height H of the measuring point in the groove relative to the average height reference surfacea。
10. The method for evaluating the roughness of the bonding surface of the strip groove of the prefabricated part based on the white light scanning as claimed in claim 1, wherein in the step S10, the average value μ of the roughness representative values of the respective measurement regions, the standard deviation S of the roughness representative values of the respective measurement regions and the variation coefficient η of the roughness representative values of the respective measurement regions are calculated as follows:
in the formula: n is the number of test areas;
μj-a roughness representative value for the jth measurement area;
after obtaining mu and eta, the estimated value mu of the roughness of the joint surface of the prefabricated part is determined according to the following specificatione：
When η is not more than 0.3, μe＝μ
When the eta is greater than 0.3,
in the formula: mu.sj,min-the minimum of the roughness representative values of all measurement areas;
finally, comparing the roughness estimated value of the joint surface of the prefabricated part with the roughness design index value R, and if the roughness estimated value is mueAnd if not, judging that the roughness meets the requirement, otherwise, judging that the roughness does not meet the requirement.
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| CN114046749B (en) * | 2021-10-26 | 2022-07-08 | 刘红霞 | Method and system for detecting roughness of point-shaped pit joint surface of precast concrete member |
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| CN116929257B (en) * | 2023-07-25 | 2024-01-26 | 昆山市建设工程质量检测中心 | Prefabricated superimposed shear wall surface roughness acquisition method based on measurement type endoscope |
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