CN114608492A - Evaluation method for roughness evaluation index of joint surface of precast concrete member - Google Patents
Evaluation method for roughness evaluation index of joint surface of precast concrete member Download PDFInfo
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- CN114608492A CN114608492A CN202210388921.4A CN202210388921A CN114608492A CN 114608492 A CN114608492 A CN 114608492A CN 202210388921 A CN202210388921 A CN 202210388921A CN 114608492 A CN114608492 A CN 114608492A
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- G01—MEASURING; TESTING
- G01B—MEASURING LENGTH, THICKNESS OR SIMILAR LINEAR DIMENSIONS; MEASURING ANGLES; MEASURING AREAS; MEASURING IRREGULARITIES OF SURFACES OR CONTOURS
- G01B11/00—Measuring arrangements characterised by the use of optical techniques
- G01B11/30—Measuring arrangements characterised by the use of optical techniques for measuring roughness or irregularity of surfaces
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Abstract
The invention provides a method for evaluating roughness evaluation indexes of a joint surface of a precast concrete member, which comprises the following steps of: s1, dividing a plurality of measuring areas on the measured joint surface; s2, scanning each measuring area on the measured combination surface and acquiring three-dimensional point cloud data; s3, performing coordinate conversion on the point cloud data of the measured junction surface to enable the measured junction surface to be located on a vertical plane; s4, dividing each measuring area on the measured combination surface into sub-evaluation areas; s5, respectively calculating the average value, the standard deviation and the maximum height difference of the projection heights of all points in each sub-evaluation area, and evaluating whether the area is a rough area; s6, calculating the roughness evaluation index on the joint surface: rough surface area ratio and concave-convex depth. The method can quickly and quantitatively judge the rough area on the joint surface of the precast concrete member, calculate the roughness evaluation indexes such as the area ratio of the rough surface, the concave-convex depth and the like, and provide an effective technical means for detecting and evaluating the roughness of the joint surface of the precast concrete.
Description
Technical Field
The invention relates to a detection technology, in particular to a method for evaluating roughness evaluation indexes of a joint surface of a precast concrete member, which is used in the field of building construction.
Background
Rough surfaces must be manufactured on the joint surfaces of prefabricated parts such as a composite floor slab, a composite beam, a composite wall plate and the like in the assembled integral concrete structure so as to enhance the bonding force of new and old concrete and ensure common stress. The roughness of the rough surface is characterized by the rough surface area ratio and the depth of the unevenness of the surface. The area ratio of the rough surface (namely the ratio of the area of the rough surface to the combined surface) is required to exceed 80 percent in the national industry standard 'technical code of prefabricated concrete structures' (JGJ 1-2014); the rough surface concave-convex depth of the prefabricated composite floor slab, the prefabricated beam and the prefabricated wall slab is not less than 4mm, and the rough surface concave-convex depth of the prefabricated beam end, the prefabricated column end and the prefabricated wall end is not less than 6 mm. In order to ensure the manufacturing quality of the joint surfaces of the precast concrete members, the detection of the rough surface area ratio and the concave-convex depth is crucial, but no corresponding measuring and calculating method is provided in national industry standards and other local and group standards.
At present, the methods for detecting the concave-convex depth of the rough surface at home and abroad mainly comprise a sand filling method, a silicon powder stacking method, a touch needle method, a fractal dimension method and the like. The sand filling method can only measure the average concave-convex depth of the rough surface, only adapts to the surface facing upwards horizontally, and does not adapt to the vertical surface, the inclined surface and the surface facing downwards horizontally. The silicon powder stacking method has very strict requirements on materials and also only adapts to a horizontal upward surface. In addition, the stylus method needs to measure a plurality of convex-concave curves along a certain direction and a reference line, is complex to operate, has slow speed and is not suitable for field measurement of actual engineering. In addition, although the fractal dimension method can ensure the accuracy of the measurement result, the fractal dimension method is not suitable for being applied to actual engineering due to the fact that the data acquisition process is slow and the operation is complex.
In recent years, the three-dimensional laser scanning technology is widely applied, the technology can quickly and accurately obtain the surface geometry condition of the prefabricated part joint surface, and by combining the measuring and calculating method provided by the invention, the rough area on the prefabricated concrete part joint surface can be quickly and quantitatively judged, and roughness evaluation indexes such as rough surface area ratio, concave-convex depth and the like can be calculated.
Disclosure of Invention
The technical problem to be solved by the invention is to overcome the defects of the prior art and provide a method for accurately and quickly evaluating the rough condition of a concrete joint surface and calculating roughness evaluation indexes such as rough surface area ratio, concave-convex depth and the like.
The specific scheme is as follows:
a precast concrete member joint surface roughness evaluation index evaluation method based on three-dimensional scanning comprises the following steps:
s1, dividing a plurality of measuring areas on the measured joint surface;
s2, scanning each measuring area on the measured junction surface and acquiring three-dimensional point cloud data;
s3, performing coordinate transformation on the point cloud data of the measured junction surface to enable the measured junction surface to be located on an x-y plane;
s4, dividing each measuring area on the measured combination surface into sub-evaluation areas;
s5, respectively calculating the average value, the standard deviation and the maximum height difference of the projection heights of all points in each sub-evaluation area, and evaluating whether the area is a rough area;
s6, calculating the roughness evaluation index on the joint surface: rough surface area ratio and concave-convex depth.
Further, in step S1, the joint surface to be measured is divided into a plurality of rectangular measurement areas, each measurement area has a side length not less than 100mm, and the sum of the areas of all the measurement areas is not less than 1/4 of the area of the joint surface.
Furthermore, in step S4, each measuring area of the measured junction surface is divided into a plurality of rectangular sub-evaluation area areas distributed in a grid shape, and each sub-evaluation area has a side length of 5mm to 20 mm.
Further, in step S5,
if the standard deviation of the projection heights of all points in a single sub-evaluation area on the surface of the prefabricated plate is greater than 3mm, the sub-evaluation area is a rough area;
and if the standard deviation of the projection heights of all points in a single sub-evaluation area of the precast beam end, the precast column end and the precast wall end is more than 5mm, the sub-evaluation area is a rough area.
Further, in step S6, the rough surface area ratio is the ratio of the sum of the rough area areas in all the measurement areas to the total measurement area.
Further, in step S6, the maximum height difference distribution of all sub-evaluation regions in each measurement region is counted, the maximum height differences of the front 20% and the rear 20% of each measurement region are removed, and the average value and the variation coefficient of the remaining maximum height differences of all measurement regions are calculated, where the average value of the maximum height differences is the concave-convex depth of the joint surface.
The method has the advantages that the rough area on the joint surface of the precast concrete member can be rapidly and quantitatively judged, the roughness evaluation indexes such as the area ratio of the rough surface and the concave-convex depth are calculated, and an effective technical means is provided for detecting and evaluating the roughness degree of the joint surface of the precast concrete.
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In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the drawings needed to be used in the embodiments or the prior art descriptions will be briefly described below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and it is obvious for those skilled in the art to obtain other drawings based on these drawings without inventive exercise.
FIG. 1 is a schematic diagram illustrating selection and dimensional requirements of a measurement area on a joint surface of a prefabricated part;
FIG. 2 is a schematic diagram of any one of the regions in FIG. 1 being partitioned into sub-evaluation regions and requiring side length of the sub-evaluation regions;
FIG. 3 is the maximum high differential power of any of the sub-assessment areas of FIG. 2.
Detailed Description
In the following description, numerous specific details are set forth in order to provide a more thorough understanding of the present invention. It will be apparent, however, to one skilled in the art, that the present invention may be practiced without one or more of these specific details. In other instances, well-known features have not been described in order to avoid obscuring the invention.
In the following description, for the purposes of explanation, numerous specific details are set forth in order to provide a thorough understanding of the present invention. The following detailed description of the preferred embodiments of the invention, however, the invention can be practiced otherwise than as specifically described.
Referring to FIG. 1, the present invention provides
The invention provides a method for measuring and calculating roughness evaluation indexes on a prefabricated concrete member joint surface based on three-dimensional scanning point cloud data, which comprises the following steps of:
s1, dividing a plurality of rectangular measuring areas on the measured junction surface, wherein the side length of each measuring area is not less than 100mm, and the sum of the areas of all the measuring areas is not less than the junction surface area 1/4.
And S2, scanning each measuring area by adopting a three-dimensional laser scanner to obtain three-dimensional point cloud data.
And S3, performing coordinate conversion on the point cloud data of the joint surface to be measured to enable the joint surface to be measured to be located on an x-y plane (namely a vertical plane perpendicular to a horizontal plane).
And S4, dividing each measuring area on the measured combination surface into a plurality of rectangular areas, wherein the side length of each area is 5-20 mm, and each rectangular area is a sub-evaluation area.
S5, respectively calculating the average value, the standard deviation and the maximum height difference of the projection heights (z coordinates) of all points in each sub-evaluation area; if the standard deviation of the projection heights (z-coordinate) of all points in a single sub-evaluation zone is greater than 3mm (precast slab)/5 mm (precast beam end, precast column end, precast wall end), the sub-evaluation zone is a rough area.
S6, calculating the area ratio of the rough surface: the ratio of the sum of the areas of the measured rough areas to the total area of the measured area; calculating the concave-convex depth: and counting the maximum height difference distribution condition of all the sub-evaluation areas in each measurement area, eliminating the maximum height difference of the front 20% and the rear 20% of each measurement area, and calculating the average value and the variation coefficient of the residual maximum height difference of all the measurement areas, wherein the average value of the maximum height difference is the concave-convex depth of the joint surface.
A specific test example is shown below:
dividing a test area on a prefabricated reinforced concrete composite slab to be tested, wherein the slab is a test piece manufactured in a laboratory, the surface of the slab is subjected to galling treatment, the plane size of the slab is 2000mm/400mm, and the thickness of the slab is about 70 mm; selecting 3 non-overlapping rectangular areas at any position on the plate combination surface to be used as a measurement area, wherein the sizes are respectively as follows: 300mm/400mm, 200mm/300mm, 350mm/350 mm; and obtaining three-dimensional point cloud data of the three measuring areas by adopting a three-dimensional laser scanner.
And step two, processing the obtained three-dimensional point cloud data coordinates to enable the joint surface to be measured to be located on an x-y plane, and setting one surface of the plate opposite to the joint surface as a plane with the z-axis coordinate of 0.
Step three, dividing the three measuring areas into a plurality of rectangular sub-evaluation areas, wherein the side length of each sub-evaluation area is 5-20 mm; respectively calculating the average value, the standard deviation and the maximum height difference of all points z coordinate in each sub-evaluation area; if the labeling difference of the z coordinate of any sub-evaluation area is larger than 3mm, the sub-evaluation area is regarded as a rough area; calculating the ratio of the sum of the areas of the rough areas in all the measurement areas to the total area of the measurement areas to obtain the area ratio of the rough surface; and counting the maximum height difference distribution condition of all the sub-evaluation areas in each measurement area, eliminating the maximum height difference of the front 20% and the rear 20% of each measurement area, and calculating the average value and the variation coefficient of the residual maximum height difference of all the measurement areas, wherein the average value of the maximum height difference is the concave-convex depth of the joint surface.
The above description is of the preferred embodiment of the invention. It is to be understood that the invention is not limited to the particular embodiments described above, in that devices and structures not described in detail are understood to be implemented in a manner common in the art; those skilled in the art can make many possible variations and modifications to the disclosed embodiments, or modify equivalent embodiments to equivalent variations, without departing from the spirit of the invention, using the methods and techniques disclosed above. Therefore, any simple modification, equivalent change and modification made to the above embodiments according to the technical essence of the present invention are still within the scope of the protection of the technical solution of the present invention, unless the contents of the technical solution of the present invention are departed.
Claims (6)
1. A precast concrete member joint surface roughness evaluation index evaluation method based on three-dimensional scanning is characterized by comprising the following steps:
s1, dividing a plurality of measuring areas on the measured joint surface;
s2, scanning each measuring area on the measured combination surface and acquiring three-dimensional point cloud data;
s3, performing coordinate conversion on the point cloud data of the measured junction surface to enable the measured junction surface to be located on a vertical plane;
s4, dividing each measuring area on the measured combination surface into sub-evaluation areas;
s5, respectively calculating the average value, the standard deviation and the maximum height difference of the projection heights of all points in each sub-evaluation area, and evaluating whether the area is a rough area;
s6, calculating the roughness evaluation index on the joint surface: rough surface area ratio and concave-convex depth.
2. The method for evaluating the roughness evaluation index of the joint surface of the precast concrete unit based on three-dimensional scanning as claimed in claim 1, wherein: in step S1, the joint surface to be measured is divided into a plurality of rectangular measurement areas, the side length of each measurement area is not less than 100mm, and the sum of the areas of all the measurement areas is not less than 1/4 of the area of the joint surface.
3. The method for evaluating the roughness evaluation index of the joint surface of the precast concrete unit based on three-dimensional scanning as claimed in claim 1, wherein: in step S4, each measuring area of the measured junction surface is divided into a plurality of rectangular sub-evaluation area areas distributed in a grid shape, and each sub-evaluation area has a side length of 5mm to 20 mm.
4. The method for evaluating the roughness evaluation index of the joint surface of the precast concrete unit based on three-dimensional scanning as claimed in claim 1, wherein: in the step S5, in the step S,
if the standard deviation of the projection heights of all points in a single sub-evaluation area on the surface of the prefabricated plate is greater than 3mm, the sub-evaluation area is a rough area;
and if the standard deviation of the projection heights of all points in a single sub-evaluation area of the precast beam end, the precast column end and the precast wall end is more than 5mm, the sub-evaluation area is a rough area.
5. The method for evaluating the roughness evaluation index of the joint surface of the precast concrete unit based on three-dimensional scanning as claimed in claim 1, wherein: in step S6, the rough surface area ratio is the ratio of the sum of the rough area areas in all the measurement areas to the total measurement area.
6. The method for evaluating the roughness evaluation index of the joint surface of the precast concrete unit based on three-dimensional scanning as claimed in claim 1, wherein: in step S6, the maximum height difference distribution of all sub-evaluation areas in each measurement area is counted, the maximum height differences of the front 20% and the rear 20% of each measurement area are removed, and the average value and the variation coefficient of the remaining maximum height differences of all measurement areas are calculated, where the average value of the maximum height differences is the concave-convex depth of the joint surface.
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