CN113702223A - Method and system for detecting compressive strength of concrete member based on rebound method - Google Patents
Method and system for detecting compressive strength of concrete member based on rebound method Download PDFInfo
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Abstract
The invention relates to a method and a system for detecting the compressive strength of a concrete member based on a rebound method, wherein the method comprises the steps of measuring high-strength rebound values and medium-strength rebound values of rebound measuring points in a plurality of rebound detecting subareas on the concrete member; respectively calculating a high-strength average resilience value and a medium-strength average resilience value, a high-strength resilience distribution polymerization index and a medium-strength resilience distribution polymerization index according to the high-strength resilience value and the medium-strength resilience value of all resilience measurement points in the target detection area; and optimizing the high-strength average rebound value and the medium-strength average rebound value and calculating the compressive strength value of the concrete member. The high-strength resilience distribution polymerization index and the medium-strength resilience distribution polymerization index corresponding to the high-strength resilience value and the medium-strength resilience value are calculated, so that the high-strength average resilience value and the medium-strength average resilience value are optimized, the finally obtained high-strength average resilience value and the medium-strength average resilience value can represent the compressive strength of the concrete member, and a more accurate detection result is obtained.
Description
Technical Field
The invention relates to the technical field of road administration detection, in particular to a method and a system for detecting the compressive strength of a concrete member based on a rebound method.
Background
In the field of road detection, the detection of the compressive strength of a road is one of very important indexes, particularly a concrete pavement, which is related to the overall quality safety of a concrete member and even engineering construction. For this reason, in a laboratory, it is generally necessary to perform a compression strength test on the concrete member. In the prior art, the detection of the compressive strength of concrete mainly comprises the following steps:
(1) a shearing and pressing method: applying pressure perpendicular to the pressure bearing surface to the right-angle side of the concrete member according to a shear-compression instrument to enable the right-angle side of the concrete member to generate local shear-compression damage, and estimating the compressive strength of the concrete member according to the shear pressure at the moment;
(2) a rebound method: presume the compressive strength of the concrete member according to the relation between hardness and intensity of the concrete member surface;
(3) ultrasonic rebound synthesis method: the method estimates the compressive strength of the concrete according to the hardness of the surface of the concrete member and the ultrasonic wave velocity in the concrete member.
For the rebound method, a rebound instrument is usually adopted for detection, the rebound value of the concrete member can be measured, and then the conversion is carried out according to the existing method to obtain the compressive strength of the concrete member. However, in the prior art, a plurality of measuring points are usually selected on a concrete member, then measurement is performed, and finally the compressive strength of the concrete member is obtained through conversion according to the average value of all the measuring points, which is not accurate enough, especially when the road safety is involved, the detection results of a small number of measuring points cannot be reflected through the average value, and the overall compressive strength of the concrete member is seriously affected by the detection results of the small number of measuring points, so that the compressive strength of the concrete member cannot be represented in a very accurate manner by the existing general average value calculation method.
Disclosure of Invention
The technical problem to be solved by the present invention is to provide a method and a system for detecting the compressive strength of a concrete member based on a rebound method, which are directed to the above-mentioned deficiencies of the prior art.
The technical scheme for solving the technical problems is as follows: a compression strength detection method of a concrete member based on a rebound method comprises the following steps:
setting a target detection area on a concrete member, determining a plurality of rebound detection subareas and rebound measuring points in each rebound detection subarea according to the target detection area, and respectively measuring a high-strength rebound value and a medium-strength rebound value of each rebound measuring point;
respectively calculating a high-strength average resilience value and a medium-strength average resilience value according to the high-strength resilience values and the medium-strength resilience values corresponding to all the resilience measuring points in the target detection area, and respectively calculating a high-strength resilience distribution polymerization index and a medium-strength resilience distribution polymerization index corresponding to the concrete member;
and respectively optimizing the high-strength average resilience value and the medium-strength average resilience value according to the high-strength resilience distribution polymerization index and the medium-strength resilience distribution polymerization index, and calculating the compressive strength value of the concrete member according to the optimized high-strength average resilience value and the medium-strength average resilience value.
The invention has the beneficial effects that: according to the method for detecting the compressive strength of the concrete member based on the rebound method, the high-strength rebound distribution polymerization index and the medium-strength rebound distribution polymerization index corresponding to the high-strength rebound value and the medium-strength rebound value are calculated, so that the high-strength average rebound value and the medium-strength average rebound value are optimized, the finally obtained high-strength average rebound value and medium-strength average rebound value are more accurate, the compressive strength of the concrete member can be represented, a more accurate detection result is obtained, and more scientific basis is provided for the manufacturing and construction of concrete.
On the basis of the technical scheme, the invention can be further improved as follows:
further: the step of respectively optimizing the high-strength average springback value and the medium-strength average springback value according to the high-strength springback distribution polymerization index and the medium-strength springback distribution polymerization index specifically comprises the following steps:
respectively comparing the high-strength rebound distribution polymerization index and the medium-strength rebound distribution polymerization index with corresponding preset high-strength rebound distribution polymerization index threshold and medium-strength rebound distribution polymerization index threshold;
when the high-strength rebound distribution polymerization index and the medium-strength rebound distribution polymerization index are respectively greater than the corresponding preset high-strength rebound distribution polymerization index threshold and medium-strength rebound distribution polymerization index threshold, calculating the compressive strength value of the concrete member according to the high-strength average rebound value and the medium-strength average rebound value;
otherwise, optimizing the high-strength average resilience value and the medium-strength average resilience value according to the high-strength resilience distribution polymerization index and/or the medium-strength resilience distribution polymerization index; and calculating the compressive strength value of the concrete member according to the optimized high-strength average rebound value and the optimized medium-strength average rebound value.
The beneficial effects of the further scheme are as follows: the high-strength springback distribution polymerization index and the high-strength springback distribution polymerization index can be used for representing the distribution concentration degree of the springback value of the measuring point corresponding to each springback detection partition on the concrete member, so that the springback value of the measuring point corresponding to each springback detection partition can be restrained by presetting the high-strength springback distribution polymerization index threshold and the high-strength springback distribution polymerization index threshold, when the high-strength springback distribution polymerization index and the high-strength springback distribution polymerization index are respectively smaller than the corresponding preset high-strength springback distribution polymerization index threshold and the corresponding high-strength springback distribution polymerization index threshold, the distribution of the springback value of the measuring point corresponding to each springback detection partition on the concrete member is more concentrated, at the moment, the compression strength value of the concrete member can be directly calculated according to the high-strength average springback value and the high-strength average springback value, otherwise, the high-strength average springback value and the high-strength springback value need to be optimized, so as to ensure the accuracy of the calculation result.
Further: the optimization of the high-strength average rebound value and the medium-strength average rebound value according to the high-strength rebound distribution polymerization index and/or the medium-strength rebound distribution polymerization index specifically comprises the following steps:
determining the high-strength resilience value discrete grade and the medium-strength resilience value discrete grade of the concrete member according to the high-strength resilience distribution polymerization index and/or the medium-strength resilience distribution polymerization index;
respectively screening the high-strength resilience value and the medium-strength resilience value in the resilience detection subarea according to the high-strength resilience value discrete grade and the medium-strength resilience value discrete grade;
and respectively calculating the high-strength rebound value and the medium-strength rebound value in the rebound detection subarea according to the high-strength rebound value and the medium-strength rebound value after screening in the rebound detection subarea.
The beneficial effects of the further scheme are as follows: when the high-strength springback distribution polymerization index and/or the medium-strength springback distribution polymerization index are/is smaller than the corresponding preset high-strength springback distribution polymerization index threshold and medium-strength springback distribution polymerization index threshold respectively, the distribution of the springback values of the measuring points corresponding to each springback detection partition on the concrete member is relatively discrete, and at the moment, the proper number of high-strength springback values and medium-strength springback values are screened by determining the discrete levels of the high-strength springback values and the medium-strength springback values, so that more accurate high-strength average springback values and medium-strength average springback values are obtained.
Further: the step of respectively screening the high-strength springback value and the medium-strength springback value in the springback detection subarea according to the high-strength springback value discrete grade and the medium-strength springback value discrete grade specifically comprises the following steps:
determining the number a of samples of the high-strength rebound value and the medium-strength rebound value in the rebound detection subarea according to a preset discrete level comparison table and an extraction ratio;
firstly, a/2 samples with larger differences with the average value of all high-strength rebound values and the average value of all medium-strength rebound values are respectively selected from the high-strength rebound values and the medium-strength rebound values in the rebound detection subarea, then a/2 samples are randomly selected from the remaining high-strength rebound values and medium-strength rebound values in the rebound detection subarea, and the samples selected twice in sequence are combined to be used as the high-strength rebound values and medium-strength rebound values after screening.
The beneficial effects of the further scheme are as follows: the sample quantity a of the high-strength rebound value and the medium-strength rebound value of the corresponding quantity is respectively selected through the high-strength rebound value discrete grade and the medium-strength rebound value discrete grade, the sample is a/2 with a larger difference from the average value of all the high-strength rebound values and the average value of all the medium-strength rebound values, and the residual high-strength rebound value and the medium-strength rebound value are composed of a/2 selected randomly, so that the overall compressive strength of the concrete member can be represented more accurately, and a more accurate detection result is obtained.
Further: the concrete member compressive strength calculation according to the optimized high-strength average rebound value and the optimized medium-strength average rebound value specifically comprises the following steps:
calculating a combined compressive strength value constructed by the concrete according to the optimized high-strength average resilience value and the optimized medium-strength average resilience value;
and performing curve fitting on the combined compressive strength value constructed by the concrete by adopting a least square method to obtain a compressive strength curve constructed by the concrete, and determining the compressive strength value of the concrete member according to the compressive strength curve.
The beneficial effects of the further scheme are as follows: the combined compressive strength value constructed by the concrete can be calculated according to the optimized high-strength average rebound value and the optimized medium-strength average rebound value, so that a more accurate rebound detection result can be further obtained according to rebound detection of different impact energies, and then curve fitting is performed on the combined compressive strength value constructed by the concrete according to a least square method to obtain a compressive strength curve constructed by the concrete, so that a more accurate compressive strength value is finally obtained.
Further: the method for detecting the compressive strength of the concrete member based on the rebound method further comprises the following steps:
and repeatedly detecting the compressive strength value of the concrete member at set intervals, calculating the change rate of the compressive strength value, and generating a compressive strength detection report according to the change rate of the compressive strength value.
The beneficial effects of the further scheme are as follows: through repeated detection of the compressive strength value of the concrete member at set time intervals, the change rate of the compressive strength value can be obtained through comparison, the compressive strength performance change of the concrete member can be obtained, and scientific basis is provided for the compressive strength life prediction and the safety early warning of the concrete member.
The invention also provides a compression strength detection system of the concrete member based on the rebound method, which comprises a rebound detection module, a first calculation module and a second calculation module;
the rebound detection module is used for measuring the rebound measuring points on the concrete member to obtain a high-strength rebound value and a medium-strength rebound value of each rebound measuring point; the concrete member is provided with a target detection area in advance, a plurality of rebound detection subareas are arranged in the target detection area, and the rebound measuring points in each rebound detection subarea;
the first calculation module is used for respectively calculating a high-strength average resilience value and a medium-strength average resilience value according to the high-strength resilience values and the medium-strength resilience values corresponding to all the resilience measuring points in the target detection area, and respectively calculating a high-strength resilience distribution polymerization index and a medium-strength resilience distribution polymerization index corresponding to the concrete member;
and the second calculation module is used for optimizing the high-strength average resilience value and the medium-strength average resilience value according to the high-strength resilience distribution polymerization index and the medium-strength resilience distribution polymerization index respectively, and calculating the compressive strength value of the concrete member according to the optimized high-strength average resilience value and the optimized medium-strength average resilience value.
According to the resilience method-based concrete member compression strength detection system, the high-strength resilience distribution polymerization index and the medium-strength resilience distribution polymerization index corresponding to the high-strength resilience value and the medium-strength resilience value are calculated, so that the high-strength average resilience value and the medium-strength average resilience value are optimized, the finally obtained high-strength average resilience value and medium-strength average resilience value are more accurate, the compression strength of the concrete member can be represented, more accurate detection results are obtained, and more scientific basis is provided for the manufacturing and construction of concrete.
On the basis of the technical scheme, the invention can be further improved as follows:
further: the specific implementation that the first calculation module optimizes the high-strength average rebound value and the medium-strength average rebound value according to the high-strength rebound distribution polymerization index and the medium-strength rebound distribution polymerization index is as follows:
respectively comparing the high-strength rebound distribution polymerization index and the medium-strength rebound distribution polymerization index with corresponding preset high-strength rebound distribution polymerization index threshold and medium-strength rebound distribution polymerization index threshold;
when the high-strength rebound distribution polymerization index and the medium-strength rebound distribution polymerization index are respectively greater than the corresponding preset high-strength rebound distribution polymerization index threshold and medium-strength rebound distribution polymerization index threshold, calculating the compressive strength value of the concrete member according to the high-strength average rebound value and the medium-strength average rebound value;
otherwise, optimizing the high-strength average resilience value and the medium-strength average resilience value according to the high-strength resilience distribution polymerization index and/or the medium-strength resilience distribution polymerization index; and calculating the compressive strength value of the concrete member according to the optimized high-strength average rebound value and the optimized medium-strength average rebound value.
The beneficial effects of the further scheme are as follows: the high-strength springback distribution polymerization index and the high-strength springback distribution polymerization index can be used for representing the distribution concentration degree of the springback value of the measuring point corresponding to each springback detection partition on the concrete member, so that the springback value of the measuring point corresponding to each springback detection partition can be restrained by presetting the high-strength springback distribution polymerization index threshold and the high-strength springback distribution polymerization index threshold, when the high-strength springback distribution polymerization index and the high-strength springback distribution polymerization index are respectively smaller than the corresponding preset high-strength springback distribution polymerization index threshold and the corresponding high-strength springback distribution polymerization index threshold, the distribution of the springback value of the measuring point corresponding to each springback detection partition on the concrete member is more concentrated, at the moment, the compression strength value of the concrete member can be directly calculated according to the high-strength average springback value and the high-strength average springback value, otherwise, the high-strength average springback value and the high-strength springback value need to be optimized, so as to ensure the accuracy of the calculation result.
Further: the specific implementation of the first calculation module for optimizing the high-strength average springback value and the medium-strength average springback value according to the high-strength springback distribution polymerization index and/or the medium-strength springback distribution polymerization index is as follows:
determining the high-strength resilience value discrete grade and the medium-strength resilience value discrete grade of the concrete member according to the high-strength resilience distribution polymerization index and/or the medium-strength resilience distribution polymerization index;
respectively screening the high-strength resilience value and the medium-strength resilience value in the resilience detection subarea according to the high-strength resilience value discrete grade and the medium-strength resilience value discrete grade;
and respectively calculating the high-strength rebound value and the medium-strength rebound value in the rebound detection subarea according to the high-strength rebound value and the medium-strength rebound value after screening in the rebound detection subarea.
The beneficial effects of the further scheme are as follows: when the high-strength springback distribution polymerization index and/or the medium-strength springback distribution polymerization index are/is smaller than the corresponding preset high-strength springback distribution polymerization index threshold and medium-strength springback distribution polymerization index threshold respectively, the distribution of the springback values of the measuring points corresponding to each springback detection partition on the concrete member is relatively discrete, and at the moment, the proper number of high-strength springback values and medium-strength springback values are screened by determining the discrete levels of the high-strength springback values and the medium-strength springback values, so that more accurate high-strength average springback values and medium-strength average springback values are obtained.
Further: the specific implementation that the first calculation module respectively screens the high-strength springback value and the medium-strength springback value in the springback detection partition according to the high-strength springback value discrete grade and the medium-strength springback value discrete grade is as follows:
determining the number a of samples of the high-strength rebound value and the medium-strength rebound value in the rebound detection subarea according to a preset discrete level comparison table and an extraction ratio;
firstly, a/2 samples with larger differences with the average value of all high-strength rebound values and the average value of all medium-strength rebound values are respectively selected from the high-strength rebound values and the medium-strength rebound values in the rebound detection subarea, then a/2 samples are randomly selected from the remaining high-strength rebound values and medium-strength rebound values in the rebound detection subarea, and the samples selected twice in sequence are combined to be used as the high-strength rebound values and medium-strength rebound values after screening.
The beneficial effects of the further scheme are as follows: the sample quantity of the high-strength rebound value and the medium-strength rebound value of the corresponding quantity is respectively selected through the high-strength rebound value discrete grade and the medium-strength rebound value discrete grade, the sample is a/2 with a larger difference from the average value of all the high-strength rebound values and the average value of all the medium-strength rebound values, and the residual high-strength rebound value and the medium-strength rebound value are composed of a/2 selected randomly, so that the overall compressive strength of the concrete member can be represented more accurately, and a more accurate detection result is obtained.
Drawings
FIG. 1 is a schematic flow chart of a method for detecting compressive strength of a concrete member based on a rebound method according to an embodiment of the present invention;
fig. 2 is a schematic structural diagram of a system for detecting compressive strength of a concrete member based on a rebound method according to an embodiment of the present invention.
Detailed Description
The principles and features of this invention are described below in conjunction with the following drawings, which are set forth by way of illustration only and are not intended to limit the scope of the invention.
As shown in fig. 1, a method for detecting the compressive strength of a concrete member based on a rebound method includes the following steps:
s1, setting a target detection area on the concrete member, determining a plurality of rebound detection subareas and rebound measuring points in each rebound detection subarea according to the target detection area, and respectively measuring a high-strength rebound value and a medium-strength rebound value of each rebound measuring point;
here, a target detection area is previously defined on the concrete member, and the target detection area is generally a square, and the square is divided, for example, the square can be divided into 4 × 4, 5 × 5 or 6 × 6 grids, each grid reaches one springback detection partition, and the central point of each grid is determined as a springback measurement point, so that the high-strength rebound meter and the medium-strength rebound meter are used for detection, and corresponding high-strength rebound value and medium-strength rebound value are obtained respectively. In the embodiment of the invention, the impact energy of the high-strength rebound instrument and the medium-strength rebound instrument is 4.5J and 2.5J respectively.
S2: respectively calculating a high-strength average resilience value and a medium-strength average resilience value according to the high-strength resilience values and the medium-strength resilience values corresponding to all the resilience measuring points in the target detection area, and respectively calculating a high-strength resilience distribution polymerization index and a medium-strength resilience distribution polymerization index corresponding to the concrete member;
it should be noted that, here, the high-strength springback values and the medium-strength springback values of the springback measurement points in all the springback detection partitions are respectively subjected to arithmetic mean solving to obtain corresponding high-strength average springback values and medium-strength average springback values. In order to respectively represent the distribution concentration degree (relative concentration index) of the high-strength rebound value and the medium-strength rebound value of the rebound measurement points in all the rebound detection subareas, after the high-strength average rebound value and the medium-strength average rebound value are obtained, the high-strength rebound distribution polymerization index corresponding to the high-strength rebound value in all the rebound detection subareas and the medium-strength rebound distribution polymerization index corresponding to the medium-strength rebound value are respectively calculated. How to calculate specifically is the prior art, and is not described in detail here.
S3: and respectively optimizing the high-strength average resilience value and the medium-strength average resilience value according to the high-strength resilience distribution polymerization index and the medium-strength resilience distribution polymerization index, and calculating the compressive strength value of the concrete member according to the optimized high-strength average resilience value and the medium-strength average resilience value.
According to the method for detecting the compressive strength of the concrete member based on the rebound method, the high-strength rebound distribution polymerization index and the medium-strength rebound distribution polymerization index corresponding to the high-strength rebound value and the medium-strength rebound value are calculated, so that the high-strength average rebound value and the medium-strength average rebound value are optimized, the finally obtained high-strength average rebound value and medium-strength average rebound value are more accurate, the compressive strength of the concrete member can be represented, a more accurate detection result is obtained, and more scientific basis is provided for the manufacturing and construction of concrete.
In one or more embodiments of the present invention, in S3, the respectively optimizing the high strength average springback value and the medium strength average springback value according to the high strength springback distribution polymerization index and the medium strength springback distribution polymerization index specifically includes the following steps:
s31: respectively comparing the high-strength rebound distribution polymerization index and the medium-strength rebound distribution polymerization index with corresponding preset high-strength rebound distribution polymerization index threshold and medium-strength rebound distribution polymerization index threshold;
s32 a: when the high-strength rebound distribution polymerization index and the medium-strength rebound distribution polymerization index are respectively greater than the corresponding preset high-strength rebound distribution polymerization index threshold and medium-strength rebound distribution polymerization index threshold, calculating the compressive strength value of the concrete member according to the high-strength average rebound value and the medium-strength average rebound value;
if not, then,
s32 b: optimizing the high-strength average resilience value and the medium-strength average resilience value according to the high-strength resilience distribution polymerization index and/or the medium-strength resilience distribution polymerization index; and calculating the compressive strength value of the concrete member according to the optimized high-strength average rebound value and the optimized medium-strength average rebound value.
The high-strength springback distribution polymerization index and the high-strength springback distribution polymerization index can be used for representing the distribution concentration degree of the springback value of the measuring point corresponding to each springback detection partition on the concrete member, so that the springback value of the measuring point corresponding to each springback detection partition can be restrained by presetting the high-strength springback distribution polymerization index threshold and the high-strength springback distribution polymerization index threshold, when the high-strength springback distribution polymerization index and the high-strength springback distribution polymerization index are respectively smaller than the corresponding preset high-strength springback distribution polymerization index threshold and the corresponding high-strength springback distribution polymerization index threshold, the distribution of the springback value of the measuring point corresponding to each springback detection partition on the concrete member is more concentrated, at the moment, the compression strength value of the concrete member can be directly calculated according to the high-strength average springback value and the high-strength average springback value, otherwise, the high-strength average springback value and the high-strength springback value need to be optimized, so as to ensure the accuracy of the calculation result.
It should be noted that, as long as any one of the high-strength rebound distribution polymerizability index and the medium-strength rebound distribution polymerizability index is less than or equal to the corresponding preset high-strength rebound distribution polymerizability index threshold and medium-strength rebound distribution polymerizability index threshold, it is considered that the distributions corresponding to the high-strength rebound value and/or the medium-strength rebound value are not sufficiently concentrated, which indicates that the compressive strength of the concrete member cannot be completely represented by the compressive strength obtained by converting the average value.
Here, the high-strength rebound distribution aggregability index threshold is 0.7, and the medium-strength rebound distribution aggregability index threshold is 0.75. And if the high-strength rebound distribution polymerization index is close to 1, the more concentrated the high-strength rebound is and the more concentrated the high-strength rebound is near the arithmetic mean value, otherwise, the less concentrated the high-strength rebound is, the higher the deviation of the high-strength rebound values of more rebound measuring points from the arithmetic mean value or the larger deviation of the high-strength rebound values of the rebound measuring points from the arithmetic mean value. Similarly, the larger the high-strength rebound distribution aggregation index threshold value is, the stricter the constraint on the concentration degree of the high-strength rebound value is, and otherwise, the looser the constraint on the concentration degree of the high-strength rebound value is.
In one or more embodiments of the present invention, in S32b, when the high strength rebound distribution polymerizability index and/or the medium strength rebound distribution polymerizability index are respectively smaller than the high strength rebound distribution polymerizability index and/or the medium strength rebound distribution polymerizability index, the optimizing the high strength average rebound value and the medium strength average rebound value specifically includes the following steps:
s321 b: determining the high-strength resilience value discrete grade and the medium-strength resilience value discrete grade of the concrete member according to the high-strength resilience distribution polymerization index and/or the medium-strength resilience distribution polymerization index;
s322 b: respectively screening the high-strength resilience value and the medium-strength resilience value in the resilience detection subarea according to the high-strength resilience value discrete grade and the medium-strength resilience value discrete grade;
s323 b: and respectively calculating the high-strength rebound value and the medium-strength rebound value in the rebound detection subarea according to the high-strength rebound value and the medium-strength rebound value after screening in the rebound detection subarea.
When the high-strength springback distribution polymerization index and/or the medium-strength springback distribution polymerization index are/is smaller than the corresponding preset high-strength springback distribution polymerization index threshold and medium-strength springback distribution polymerization index threshold respectively, the distribution of the springback values of the measuring points corresponding to each springback detection partition on the concrete member is relatively discrete, and at the moment, the proper number of high-strength springback values and medium-strength springback values are screened by determining the discrete levels of the high-strength springback values and the medium-strength springback values, so that more accurate high-strength average springback values and medium-strength average springback values are obtained.
In the embodiment of the invention, the high-strength springback value discrete grade and the medium-strength springback value discrete grade are respectively provided with four grades, and a specific discrete grade comparison table is shown in the following table 1.
TABLE 1
Optionally, in one or more embodiments of the present invention, in S322, the respectively screening the high-strength springback value and the medium-strength springback value in the springback detection partition according to the discrete level of the high-strength springback value and the discrete level of the medium-strength springback value specifically includes the following steps:
s3221 b: determining the number a of samples of the high-strength rebound value and the medium-strength rebound value in the rebound detection subarea according to a preset discrete level comparison table and an extraction ratio;
s3222 b: firstly, a/2 samples with larger differences with the average value of all high-strength rebound values and the average value of all medium-strength rebound values are respectively selected from the high-strength rebound values and the medium-strength rebound values in the rebound detection subarea, then a/2 samples are randomly selected from the remaining high-strength rebound values and medium-strength rebound values in the rebound detection subarea, and the samples selected twice in sequence are combined to be used as the high-strength rebound values and medium-strength rebound values after screening.
The sample quantity of the high-strength rebound value and the medium-strength rebound value of the corresponding quantity is respectively selected through the high-strength rebound value discrete grade and the medium-strength rebound value discrete grade, the sample is a/2 with a larger difference from the average value of all the high-strength rebound values and the average value of all the medium-strength rebound values, and the residual high-strength rebound value and the medium-strength rebound value are composed of a/2 selected randomly, so that the overall compressive strength of the concrete member can be represented more accurately, and a more accurate detection result is obtained.
In one or more embodiments of the present invention, the calculating the compressive strength of the concrete member according to the optimized high-strength average resilience value and the optimized medium-strength average resilience value specifically includes the following steps:
s33 b: calculating a combined compressive strength value constructed by the concrete according to the optimized high-strength average resilience value and the optimized medium-strength average resilience value;
here, the combined compressive strength value of the concrete structure calculated according to the high-strength average rebound value and the medium-strength average rebound value can be obtained by conversion according to the existing formula, and the detailed description is omitted in the present invention.
S34 b: and performing curve fitting on the combined compressive strength value constructed by the concrete by adopting a least square method to obtain a compressive strength curve constructed by the concrete, and determining the compressive strength value of the concrete member according to the compressive strength curve.
The combined compressive strength value constructed by the concrete can be calculated according to the optimized high-strength average rebound value and the optimized medium-strength average rebound value, so that a more accurate rebound detection result can be further obtained according to rebound detection of different impact energies, and then curve fitting is performed on the combined compressive strength value constructed by the concrete according to a least square method to obtain a compressive strength curve constructed by the concrete, so that a more accurate compressive strength value is finally obtained.
Optionally, in one or more embodiments of the present invention, the method for detecting the compressive strength of a concrete member based on a rebound method further includes the following steps:
s4: and repeatedly detecting the compressive strength value of the concrete member at set intervals, calculating the change rate of the compressive strength value, and generating a compressive strength detection report according to the change rate of the compressive strength value.
Through repeated detection of the compressive strength value of the concrete member at set time intervals, the change rate of the compressive strength value can be obtained through comparison, the compressive strength performance change of the concrete member can be obtained, and scientific basis is provided for the compressive strength life prediction and the safety early warning of the concrete member.
Specifically, for example, the compression strength value of the concrete member is repeatedly detected every 3 months, the specific detection method is performed according to S1-S3, then the change rate of the compression strength value is calculated according to the compression strength values measured before and after, and is compared with the set threshold value of the compression strength change rate, if the change rate of the compression strength value exceeds the threshold value of the compression strength change rate, it indicates that the compression performance of the concrete member has a defect, of course, the safe service life of the concrete member can be predicted according to the compression strength change rate, the time required for the compression strength value of the concrete material with the same proportion to be reduced to the preset compression strength value is predicted according to the compression strength change rate, that is, the safe service life of the concrete member is determined, or early warning is performed according to the safe service life of the concrete member.
As shown in fig. 2, the invention also provides a system for detecting the compressive strength of a concrete member based on a rebound method, which comprises a rebound detection module, a first calculation module and a second calculation module;
the rebound detection module is used for measuring the rebound measuring points on the concrete member to obtain a high-strength rebound value and a medium-strength rebound value of each rebound measuring point; the concrete member is provided with a target detection area in advance, a plurality of rebound detection subareas are arranged in the target detection area, and the rebound measuring points in each rebound detection subarea;
the first calculation module is used for respectively calculating a high-strength average resilience value and a medium-strength average resilience value according to the high-strength resilience values and the medium-strength resilience values corresponding to all the resilience measuring points in the target detection area, and respectively calculating a high-strength resilience distribution polymerization index and a medium-strength resilience distribution polymerization index corresponding to the concrete member;
and the second calculation module is used for optimizing the high-strength average resilience value and the medium-strength average resilience value according to the high-strength resilience distribution polymerization index and the medium-strength resilience distribution polymerization index respectively, and calculating the compressive strength value of the concrete member according to the optimized high-strength average resilience value and the optimized medium-strength average resilience value.
According to the resilience method-based concrete member compression strength detection system, the high-strength resilience distribution polymerization index and the medium-strength resilience distribution polymerization index corresponding to the high-strength resilience value and the medium-strength resilience value are calculated, so that the high-strength average resilience value and the medium-strength average resilience value are optimized, the finally obtained high-strength average resilience value and medium-strength average resilience value are more accurate, the compression strength of the concrete member can be represented, more accurate detection results are obtained, and more scientific basis is provided for the manufacturing and construction of concrete.
In one or more embodiments of the present invention, the specific implementation that the first calculation module optimizes the high-strength average rebound value and the medium-strength average rebound value according to the high-strength rebound distribution aggregation index and the medium-strength rebound distribution aggregation index is as follows:
respectively comparing the high-strength rebound distribution polymerization index and the medium-strength rebound distribution polymerization index with corresponding preset high-strength rebound distribution polymerization index threshold and medium-strength rebound distribution polymerization index threshold;
when the high-strength rebound distribution polymerization index and the medium-strength rebound distribution polymerization index are respectively greater than the corresponding preset high-strength rebound distribution polymerization index threshold and medium-strength rebound distribution polymerization index threshold, calculating the compressive strength value of the concrete member according to the high-strength average rebound value and the medium-strength average rebound value;
otherwise, optimizing the high-strength average resilience value and the medium-strength average resilience value according to the high-strength resilience distribution polymerization index and/or the medium-strength resilience distribution polymerization index; and calculating the compressive strength value of the concrete member according to the optimized high-strength average rebound value and the optimized medium-strength average rebound value.
The high-strength springback distribution polymerization index and the high-strength springback distribution polymerization index can be used for representing the distribution concentration degree of the springback value of the measuring point corresponding to each springback detection partition on the concrete member, so that the springback value of the measuring point corresponding to each springback detection partition can be restrained by presetting the high-strength springback distribution polymerization index threshold and the high-strength springback distribution polymerization index threshold, when the high-strength springback distribution polymerization index and the high-strength springback distribution polymerization index are respectively smaller than the corresponding preset high-strength springback distribution polymerization index threshold and the corresponding high-strength springback distribution polymerization index threshold, the distribution of the springback value of the measuring point corresponding to each springback detection partition on the concrete member is more concentrated, at the moment, the compression strength value of the concrete member can be directly calculated according to the high-strength average springback value and the high-strength average springback value, otherwise, the high-strength average springback value and the high-strength springback value need to be optimized, so as to ensure the accuracy of the calculation result.
In one or more embodiments of the present invention, the optimization of the high-strength average springback value and the medium-strength average springback value by the first calculation module according to the high-strength springback distribution aggregability index and/or the medium-strength springback distribution aggregability index is specifically realized by:
determining the high-strength resilience value discrete grade and the medium-strength resilience value discrete grade of the concrete member according to the high-strength resilience distribution polymerization index and/or the medium-strength resilience distribution polymerization index;
respectively screening the high-strength resilience value and the medium-strength resilience value in the resilience detection subarea according to the high-strength resilience value discrete grade and the medium-strength resilience value discrete grade;
and respectively calculating the high-strength rebound value and the medium-strength rebound value in the rebound detection subarea according to the high-strength rebound value and the medium-strength rebound value after screening in the rebound detection subarea.
When the high-strength springback distribution polymerization index and/or the medium-strength springback distribution polymerization index are/is smaller than the corresponding preset high-strength springback distribution polymerization index threshold and medium-strength springback distribution polymerization index threshold respectively, the distribution of the springback values of the measuring points corresponding to each springback detection partition on the concrete member is relatively discrete, and at the moment, the proper number of high-strength springback values and medium-strength springback values are screened by determining the discrete levels of the high-strength springback values and the medium-strength springback values, so that more accurate high-strength average springback values and medium-strength average springback values are obtained.
Optionally, in one or more embodiments of the present invention, the specific implementation that the first calculation module respectively screens the high-strength springback value and the medium-strength springback value in the springback detection partition according to the high-strength springback value discrete level and the medium-strength springback value discrete level is that:
determining the number a of samples of the high-strength rebound value and the medium-strength rebound value in the rebound detection subarea according to a preset discrete level comparison table and an extraction ratio;
firstly, a/2 samples with larger differences with the average value of all high-strength rebound values and the average value of all medium-strength rebound values are respectively selected from the high-strength rebound values and the medium-strength rebound values in the rebound detection subarea, then a/2 samples are randomly selected from the remaining high-strength rebound values and medium-strength rebound values in the rebound detection subarea, and the samples selected twice in sequence are combined to be used as the high-strength rebound values and medium-strength rebound values after screening.
The sample quantity of the high-strength rebound value and the medium-strength rebound value of the corresponding quantity is respectively selected through the high-strength rebound value discrete grade and the medium-strength rebound value discrete grade, the sample is a/2 with a larger difference from the average value of all the high-strength rebound values and the average value of all the medium-strength rebound values, and the residual high-strength rebound value and the medium-strength rebound value are composed of a/2 selected randomly, so that the overall compressive strength of the concrete member can be represented more accurately, and a more accurate detection result is obtained.
The above description is only for the purpose of illustrating the preferred embodiments of the present invention and is not to be construed as limiting the invention, and any modifications, equivalents, improvements and the like that fall within the spirit and principle of the present invention are intended to be included therein.
Claims (10)
1. A method for detecting the compressive strength of a concrete member based on a rebound method is characterized by comprising the following steps:
setting a target detection area on a concrete member, determining a plurality of rebound detection subareas and rebound measuring points in each rebound detection subarea according to the target detection area, and respectively measuring a high-strength rebound value and a medium-strength rebound value of each rebound measuring point;
respectively calculating a high-strength average resilience value and a medium-strength average resilience value according to the high-strength resilience values and the medium-strength resilience values corresponding to all the resilience measuring points in the target detection area, and respectively calculating a high-strength resilience distribution polymerization index and a medium-strength resilience distribution polymerization index corresponding to the concrete member;
and respectively optimizing the high-strength average resilience value and the medium-strength average resilience value according to the high-strength resilience distribution polymerization index and the medium-strength resilience distribution polymerization index, and calculating the compressive strength value of the concrete member according to the optimized high-strength average resilience value and the medium-strength average resilience value.
2. The method for detecting the compressive strength of the concrete member based on the rebound method according to claim 1, wherein the step of respectively optimizing the high-strength average rebound value and the medium-strength average rebound value according to the high-strength rebound distribution polymerizability index and the medium-strength rebound distribution polymerizability index specifically comprises the following steps:
respectively comparing the high-strength rebound distribution polymerization index and the medium-strength rebound distribution polymerization index with corresponding preset high-strength rebound distribution polymerization index threshold and medium-strength rebound distribution polymerization index threshold;
when the high-strength rebound distribution polymerization index and the medium-strength rebound distribution polymerization index are respectively greater than the corresponding preset high-strength rebound distribution polymerization index threshold and medium-strength rebound distribution polymerization index threshold, calculating the compressive strength value of the concrete member according to the high-strength average rebound value and the medium-strength average rebound value;
otherwise, optimizing the high-strength average resilience value and the medium-strength average resilience value according to the high-strength resilience distribution polymerization index and/or the medium-strength resilience distribution polymerization index; and calculating the compressive strength value of the concrete member according to the optimized high-strength average rebound value and the optimized medium-strength average rebound value.
3. The method for detecting the compressive strength of a concrete member based on a rebound method according to claim 2, wherein the step of optimizing the high-strength average rebound value and the medium-strength average rebound value according to the high-strength rebound distribution polymerizability index and/or the medium-strength rebound distribution polymerizability index specifically comprises the following steps:
determining the high-strength resilience value discrete grade and the medium-strength resilience value discrete grade of the concrete member according to the high-strength resilience distribution polymerization index and/or the medium-strength resilience distribution polymerization index;
respectively screening the high-strength resilience value and the medium-strength resilience value in the resilience detection subarea according to the high-strength resilience value discrete grade and the medium-strength resilience value discrete grade;
and respectively calculating the high-strength rebound value and the medium-strength rebound value in the rebound detection subarea according to the high-strength rebound value and the medium-strength rebound value after screening in the rebound detection subarea.
4. The method for detecting the compressive strength of the concrete member based on the rebound method according to claim 3, wherein the step of screening the high-strength rebound value and the medium-strength rebound value in the rebound detection partition according to the discrete level of the high-strength rebound value and the discrete level of the medium-strength rebound value comprises the following steps:
determining the number a of samples of the high-strength rebound value and the medium-strength rebound value in the rebound detection subarea according to a preset discrete level comparison table and an extraction ratio;
firstly, a/2 samples with larger differences with the average value of all high-strength rebound values and the average value of all medium-strength rebound values are respectively selected from the high-strength rebound values and the medium-strength rebound values in the rebound detection subarea, then a/2 samples are randomly selected from the remaining high-strength rebound values and medium-strength rebound values in the rebound detection subarea, and the samples selected twice in sequence are combined to be used as the high-strength rebound values and medium-strength rebound values after screening.
5. The method for detecting the compressive strength of a concrete member based on a rebound method according to any one of claims 1 to 4, wherein the step of calculating the compressive strength of the concrete member according to the optimized high-strength average rebound value and the optimized medium-strength average rebound value specifically comprises the following steps:
calculating a combined compressive strength value constructed by the concrete according to the optimized high-strength average resilience value and the optimized medium-strength average resilience value;
and performing curve fitting on the combined compressive strength value constructed by the concrete by adopting a least square method to obtain a compressive strength curve constructed by the concrete, and determining the compressive strength value of the concrete member according to the compressive strength curve.
6. The method for detecting the compressive strength of a concrete member based on a rebound method as set forth in any one of claims 1 to 4, further comprising the steps of:
and repeatedly detecting the compressive strength value of the concrete member at set intervals, calculating the change rate of the compressive strength value, and generating a compressive strength detection report according to the change rate of the compressive strength value.
7. The utility model provides a compressive strength detecting system of concrete member based on resilience method which characterized in that: the device comprises a springback detection module, a first calculation module and a second calculation module;
the rebound detection module is used for measuring the rebound measuring points on the concrete member to obtain a high-strength rebound value and a medium-strength rebound value of each rebound measuring point; the concrete member is provided with a target detection area in advance, a plurality of rebound detection subareas are arranged in the target detection area, and the rebound measuring points in each rebound detection subarea;
the first calculation module is used for respectively calculating a high-strength average resilience value and a medium-strength average resilience value according to the high-strength resilience values and the medium-strength resilience values corresponding to all the resilience measuring points in the target detection area, and respectively calculating a high-strength resilience distribution polymerization index and a medium-strength resilience distribution polymerization index corresponding to the concrete member;
and the second calculation module is used for optimizing the high-strength average resilience value and the medium-strength average resilience value according to the high-strength resilience distribution polymerization index and the medium-strength resilience distribution polymerization index respectively, and calculating the compressive strength value of the concrete member according to the optimized high-strength average resilience value and the optimized medium-strength average resilience value.
8. The method for detecting the compressive strength of the concrete member based on the rebound method as claimed in claim 7, wherein the first calculation module optimizes the high-strength average rebound value and the medium-strength average rebound value according to the high-strength rebound distribution polymerization index and the medium-strength rebound distribution polymerization index by:
respectively comparing the high-strength rebound distribution polymerization index and the medium-strength rebound distribution polymerization index with corresponding preset high-strength rebound distribution polymerization index threshold and medium-strength rebound distribution polymerization index threshold;
when the high-strength rebound distribution polymerization index and the medium-strength rebound distribution polymerization index are respectively greater than the corresponding preset high-strength rebound distribution polymerization index threshold and medium-strength rebound distribution polymerization index threshold, calculating the compressive strength value of the concrete member according to the high-strength average rebound value and the medium-strength average rebound value;
otherwise, optimizing the high-strength average resilience value and the medium-strength average resilience value according to the high-strength resilience distribution polymerization index and/or the medium-strength resilience distribution polymerization index; and calculating the compressive strength value of the concrete member according to the optimized high-strength average rebound value and the optimized medium-strength average rebound value.
9. The method for detecting the compressive strength of a concrete member based on a rebound method according to claim 8, wherein the first calculation module optimizes the high-strength average rebound value and the medium-strength average rebound value according to the high-strength rebound distribution polymerization index and/or the medium-strength rebound distribution polymerization index by:
determining the high-strength resilience value discrete grade and the medium-strength resilience value discrete grade of the concrete member according to the high-strength resilience distribution polymerization index and/or the medium-strength resilience distribution polymerization index;
respectively screening the high-strength resilience value and the medium-strength resilience value in the resilience detection subarea according to the high-strength resilience value discrete grade and the medium-strength resilience value discrete grade;
and respectively calculating the high-strength rebound value and the medium-strength rebound value in the rebound detection subarea according to the high-strength rebound value and the medium-strength rebound value after screening in the rebound detection subarea.
10. The method for detecting the compressive strength of the concrete member based on the rebound method according to claim 9, wherein the specific implementation of the first calculation module respectively screening the high-strength rebound value and the medium-strength rebound value in the rebound detection partition according to the discrete level of the high-strength rebound value and the discrete level of the medium-strength rebound value is as follows:
determining the number a of samples of the high-strength rebound value and the medium-strength rebound value in the rebound detection subarea according to a preset discrete level comparison table and an extraction ratio;
firstly, a/2 samples with larger differences with the average value of all high-strength rebound values and the average value of all medium-strength rebound values are respectively selected from the high-strength rebound values and the medium-strength rebound values in the rebound detection subarea, then a/2 samples are randomly selected from the remaining high-strength rebound values and medium-strength rebound values in the rebound detection subarea, and the samples selected twice in sequence are combined to be used as the high-strength rebound values and medium-strength rebound values after screening.
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