CN113702223B - 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 compressive strength detection method and a compressive strength detection system 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 measurement points in a plurality of rebound detection zones on the concrete member; respectively calculating a high-strength average rebound value and a medium-strength average rebound value, and a high-strength rebound distribution polymerization index and a medium-strength rebound distribution polymerization index according to the high-strength rebound values and the medium-strength rebound values of all rebound measuring points in a 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 average rebound value and the medium-strength average rebound value are optimized by calculating 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, so that the finally obtained high-strength average rebound value and medium-strength average rebound value can be used for representing the compressive strength of the concrete member, and further a more accurate detection result is obtained.
Description
Technical Field
The invention relates to the technical field of road detection, in particular to a method and a system for detecting compressive strength of a concrete member based on a rebound method.
Background
In the field of road detection, compressive strength detection of roads is one of the very important indicators, especially concrete pavements, which is related to the overall quality safety of concrete members and even engineering construction. For this reason, in the laboratory, it is often necessary to perform compressive strength testing on concrete members. In the prior art, the detection of the compressive strength of concrete mainly comprises the following steps:
(1) Shearing and pressing method: applying pressure perpendicular to the bearing surface to the right-angle side of the concrete member according to the shearing and pressing instrument, so that the right-angle side of the concrete member generates local shearing and pressing damage, and estimating the compressive strength of the concrete member according to the shearing and pressing force at the moment;
(2) Rebound method: estimating the compressive strength of the concrete member according to the relation between the hardness and the strength of the surface of the concrete member;
(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 value of the concrete member can be measured by detecting with a rebound instrument, and then converted 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 generally selected on a concrete member, then measurement is performed, and finally the compressive strength of the concrete member is converted according to the average value of all the measuring points, so that the method is not accurate enough, especially when the road safety is involved, the detection results of a few measuring points cannot be represented by the average value, and the detection results of the few measuring points seriously affect the overall compressive strength of the concrete member, so that the existing average value calculation mode cannot accurately represent the compressive strength of the concrete member.
Disclosure of Invention
The invention aims to solve the technical problem of providing a method and a system for detecting the compressive strength of a concrete member based on a rebound method aiming at the defects of the prior art.
The technical scheme for solving the technical problems is as follows: a compressive 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 partitions and rebound measuring points in each rebound detection partition 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 rebound value and a medium-strength average rebound value according to the high-strength rebound values and the medium-strength rebound values corresponding to all rebound measuring points in the target detection area, and respectively calculating a high-strength rebound distribution polymerizability index and a medium-strength rebound distribution polymerizability index corresponding to the concrete member;
and respectively optimizing 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, and calculating the compressive strength value of the concrete member according to the optimized high-strength average rebound value and medium-strength average rebound value.
The beneficial effects of the invention are as follows: according to the compressive strength detection method of the concrete member based on the rebound method, the high-strength average rebound value and the medium-strength average rebound value are optimized by calculating 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, so that 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 more represented, a more accurate detection result is obtained, and more scientific basis is provided for concrete manufacture and construction.
Based on the technical scheme, the invention can also be improved as follows:
further: the optimizing of 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 comprises the following steps:
comparing the high-intensity rebound distribution polymerizability index and the medium-intensity rebound distribution polymerizability index with corresponding preset high-intensity rebound distribution polymerizability index threshold and medium-intensity rebound distribution polymerizability index threshold respectively;
when the high-strength rebound distribution polymerizability index and the medium-strength rebound distribution polymerizability index are respectively larger than the corresponding preset high-strength rebound distribution polymerizability index threshold and medium-strength rebound distribution polymerizability 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 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; and calculating the compressive strength value of the concrete member according to the optimized high-strength average rebound value and the medium-strength average rebound value.
The beneficial effects of the above-mentioned further scheme are: the high-intensity rebound distribution polymerization index and the medium-intensity rebound distribution polymerization index can be used for representing the distribution concentration degree of the rebound values of the measuring points corresponding to each rebound detection partition on the concrete member, so that the rebound values of the measuring points corresponding to each rebound detection partition can be restrained through a preset high-intensity rebound distribution polymerization index threshold and a medium-intensity rebound distribution polymerization index threshold, when the high-intensity rebound distribution polymerization index and the medium-intensity rebound distribution polymerization index are respectively smaller than the corresponding preset high-intensity rebound distribution polymerization index threshold and medium-intensity rebound distribution polymerization index threshold, the distribution comparison concentration of the rebound values of the measuring points corresponding to each rebound detection partition on the concrete member is indicated, and at the moment, the compressive strength value of the concrete member can be calculated directly according to the high-intensity average rebound values and the medium-intensity average rebound values, otherwise, the high-intensity average rebound values and the medium-intensity average rebound values need to be optimized, so that the accuracy of calculation results is ensured.
Further: the 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 rebound value discrete level and the medium-strength rebound value discrete level of the concrete member according to the high-strength rebound distribution polymerizability index and/or the medium-strength rebound distribution polymerizability index;
respectively screening the high-strength rebound value and the medium-strength rebound value in the rebound detection zone according to the high-strength rebound value discrete level and the medium-strength rebound value discrete level;
and respectively calculating the high-strength rebound value and the medium-strength rebound value in the rebound detection partition according to the high-strength rebound value and the medium-strength rebound value after screening in the rebound detection partition.
The beneficial effects of the above-mentioned further scheme are: when the high-intensity rebound distribution polymerization index and/or the medium-intensity rebound distribution polymerization index are/is smaller than the corresponding preset high-intensity rebound distribution polymerization index threshold and medium-intensity rebound distribution polymerization index threshold respectively, the distribution of the rebound values of the measuring points corresponding to each rebound detection partition on the concrete member is relatively discrete, and at the moment, proper numbers of high-intensity rebound values and medium-intensity rebound values are screened by determining the high-intensity rebound value discrete level and the medium-intensity rebound value discrete level so as to obtain more accurate high-intensity average rebound values and medium-intensity average rebound values.
Further: the step of screening the high-intensity resilience value and the medium-intensity resilience value in the resilience detection zone according to the high-intensity resilience value discrete level and the medium-intensity resilience value discrete level respectively specifically comprises the following steps:
determining the sample quantity a of the high-strength rebound value and the medium-strength rebound value in the rebound detection partition according to a preset discrete level comparison table and the extraction proportion;
firstly, respectively selecting a/2 samples which are larger in difference with the average value of all the high-strength rebound values and the average value of all the medium-strength rebound values from the high-strength rebound values and the medium-strength rebound values in the rebound detection partition, randomly selecting a/2 samples from the rest high-strength rebound values and the medium-strength rebound values in the rebound detection partition, and combining the samples selected twice successively to be used as the high-strength rebound values and the medium-strength rebound values after screening.
The beneficial effects of the above-mentioned further scheme are: the sample number a of the high-strength rebound value and the medium-strength rebound value is selected according to the high-strength rebound value discrete level and the medium-strength rebound value discrete level, the sample is a/2 number which is larger than the average value of all the high-strength rebound values and the average value of all the medium-strength rebound values, and the rest of the sample number a/2 number is randomly selected from the high-strength rebound value and the medium-strength rebound value, so that the whole compressive strength of the concrete member can be more accurately represented, and a more accurate detection result can be obtained.
Further: the method for calculating the compressive strength of the concrete member according to the optimized high-strength average rebound value and the medium-strength average rebound value specifically comprises the following steps:
calculating a combined compressive strength value of the concrete construction according to the optimized high-strength average rebound value and the medium-strength average rebound value;
and performing curve fitting on the combined compressive strength values of the concrete construction by adopting a least square method to obtain a compressive strength curve of the concrete construction, and determining the compressive strength value of the concrete member according to the compressive strength curve.
The beneficial effects of the above-mentioned further scheme are: the combined compressive strength value of the concrete construction can be calculated according to the optimized high-strength average rebound value and medium-strength average rebound value, so that more accurate rebound detection results can be further obtained according to rebound detection of different impact energies, and then curve fitting is performed on the combined compressive strength value of the concrete construction according to a least square method to obtain a compressive strength curve of the concrete construction, thereby finally obtaining more accurate compressive strength values.
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 each set time interval, 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 above-mentioned further scheme are: the compression strength value of the concrete member is repeatedly detected at each set time interval, so that the change rate of the compression strength value can be obtained by comparison, and further the compression strength performance change of the concrete member can be obtained, thereby providing scientific basis for the prediction of the compression strength life of the concrete member and the safety precaution.
The invention also provides a compressive 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 at 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; a target detection area is preset on the concrete member, a plurality of rebound detection partitions are arranged in the target detection area, and rebound measuring points in each rebound detection partition are arranged;
the first calculation module is used for calculating a high-strength average rebound value and a medium-strength average rebound value according to the high-strength rebound values and the medium-strength rebound values corresponding to all rebound measuring points in the target detection area, and calculating a high-strength rebound distribution polymerization index and a medium-strength rebound distribution polymerization index corresponding to the concrete member respectively;
The second calculation module is used for optimizing 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 respectively, and calculating the compressive strength value of the concrete member according to the optimized high-strength average rebound value and medium-strength average rebound value.
According to the compressive strength detection system of the concrete member based on the rebound method, the high-strength average rebound value and the medium-strength average rebound value are optimized by calculating 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, so that 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 more represented, a more accurate detection result is obtained, and more scientific basis is provided for concrete manufacture and construction.
Based on the technical scheme, the invention can also be improved as follows:
further: the specific implementation of the first calculation module to optimize 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:
Comparing the high-intensity rebound distribution polymerizability index and the medium-intensity rebound distribution polymerizability index with corresponding preset high-intensity rebound distribution polymerizability index threshold and medium-intensity rebound distribution polymerizability index threshold respectively;
when the high-strength rebound distribution polymerizability index and the medium-strength rebound distribution polymerizability index are respectively larger than the corresponding preset high-strength rebound distribution polymerizability index threshold and medium-strength rebound distribution polymerizability 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 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; and calculating the compressive strength value of the concrete member according to the optimized high-strength average rebound value and the medium-strength average rebound value.
The beneficial effects of the above-mentioned further scheme are: the high-intensity rebound distribution polymerization index and the medium-intensity rebound distribution polymerization index can be used for representing the distribution concentration degree of the rebound values of the measuring points corresponding to each rebound detection partition on the concrete member, so that the rebound values of the measuring points corresponding to each rebound detection partition can be restrained through a preset high-intensity rebound distribution polymerization index threshold and a medium-intensity rebound distribution polymerization index threshold, when the high-intensity rebound distribution polymerization index and the medium-intensity rebound distribution polymerization index are respectively smaller than the corresponding preset high-intensity rebound distribution polymerization index threshold and medium-intensity rebound distribution polymerization index threshold, the distribution comparison concentration of the rebound values of the measuring points corresponding to each rebound detection partition on the concrete member is indicated, and at the moment, the compressive strength value of the concrete member can be calculated directly according to the high-intensity average rebound values and the medium-intensity average rebound values, otherwise, the high-intensity average rebound values and the medium-intensity average rebound values need to be optimized, so that the accuracy of calculation results is ensured.
Further: 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, and specifically realizes that:
determining the high-strength rebound value discrete level and the medium-strength rebound value discrete level of the concrete member according to the high-strength rebound distribution polymerizability index and/or the medium-strength rebound distribution polymerizability index;
respectively screening the high-strength rebound value and the medium-strength rebound value in the rebound detection zone according to the high-strength rebound value discrete level and the medium-strength rebound value discrete level;
and respectively calculating the high-strength rebound value and the medium-strength rebound value in the rebound detection partition according to the high-strength rebound value and the medium-strength rebound value after screening in the rebound detection partition.
The beneficial effects of the above-mentioned further scheme are: when the high-intensity rebound distribution polymerization index and/or the medium-intensity rebound distribution polymerization index are/is smaller than the corresponding preset high-intensity rebound distribution polymerization index threshold and medium-intensity rebound distribution polymerization index threshold respectively, the distribution of the rebound values of the measuring points corresponding to each rebound detection partition on the concrete member is relatively discrete, and at the moment, proper numbers of high-intensity rebound values and medium-intensity rebound values are screened by determining the high-intensity rebound value discrete level and the medium-intensity rebound value discrete level so as to obtain more accurate high-intensity average rebound values and medium-intensity average rebound values.
Further: 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 high-strength rebound value discrete level and the medium-strength rebound value discrete level is as follows:
determining the sample quantity a of the high-strength rebound value and the medium-strength rebound value in the rebound detection partition according to a preset discrete level comparison table and the extraction proportion;
firstly, respectively selecting a/2 samples which are larger in difference with the average value of all the high-strength rebound values and the average value of all the medium-strength rebound values from the high-strength rebound values and the medium-strength rebound values in the rebound detection partition, randomly selecting a/2 samples from the rest high-strength rebound values and the medium-strength rebound values in the rebound detection partition, and combining the samples selected twice successively to be used as the high-strength rebound values and the medium-strength rebound values after screening.
The beneficial effects of the above-mentioned further scheme are: the sample numbers of the high-strength rebound value and the medium-strength rebound value are respectively selected according to the high-strength rebound value discrete level and the medium-strength rebound value discrete level, the sample numbers are a/2 numbers which are larger than the average value of all the high-strength rebound values and the average value of all the medium-strength rebound values, and the remaining a/2 numbers which are randomly selected from the high-strength rebound value and the medium-strength rebound value are formed, so that the whole compressive strength of the concrete member can be more accurately represented, and a more accurate detection result is obtained.
Drawings
FIG. 1 is a flow chart of a method for detecting compressive strength of a concrete member based on a rebound method according to an embodiment of the invention;
fig. 2 is a schematic structural diagram of a compressive strength detection system for a concrete member based on a rebound method according to an embodiment of the present invention.
Detailed Description
The principles and features of the present invention are described below with reference to the drawings, the examples are illustrated for the purpose of illustrating the invention and are not to be construed as limiting the scope of the invention.
As shown in fig. 1, a method for detecting compressive strength of a concrete member based on a rebound method includes the steps of:
s1, setting a target detection area on a concrete member, determining a plurality of rebound detection partitions and rebound measuring points in each rebound detection partition 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, the target detection area is defined on the concrete member in advance, and is generally square, and the square is divided, for example, into grids 4*4, 5*5 or 6*6, each of which meets a rebound detection partition, and the center point of each of which is determined as a rebound measurement point, so that the corresponding high-strength rebound value and the corresponding medium-strength rebound value are obtained by detecting with the high-strength rebound instrument and the medium-strength rebound instrument. In the embodiment of the invention, the impact energy of the high-strength resiliometer and the medium-strength resiliometer is respectively 4.5J and 2.5J.
S2: respectively calculating a high-strength average rebound value and a medium-strength average rebound value according to the high-strength rebound values and the medium-strength rebound values corresponding to all rebound measuring points in the target detection area, and respectively calculating a high-strength rebound distribution polymerizability index and a medium-strength rebound distribution polymerizability index corresponding to the concrete member;
it should be noted that, here, the high-intensity resilience values and the medium-intensity resilience values of the resilience measurement points in all the resilience detection zones are respectively calculated by arithmetic means to obtain corresponding high-intensity average resilience values and medium-intensity average resilience values. In order to characterize the distribution concentration degree (relative concentration index) of the high-intensity rebound values and the medium-intensity rebound values of the rebound test points in all rebound test zones respectively, therefore, after the high-intensity average rebound values and the medium-intensity average rebound values are obtained, the high-intensity rebound distribution polymerization indexes and the medium-intensity rebound distribution polymerization indexes corresponding to the high-intensity rebound values in all rebound test zones respectively need to be calculated. How this is calculated as prior art is not described in detail here.
S3: and respectively optimizing 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, and calculating the compressive strength value of the concrete member according to the optimized high-strength average rebound value and medium-strength average rebound value.
According to the compressive strength detection method of the concrete member based on the rebound method, the high-strength average rebound value and the medium-strength average rebound value are optimized by calculating 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, so that 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 more represented, a more accurate detection result is obtained, and more scientific basis is provided for concrete manufacture and construction.
In one or more embodiments of the present invention, in the step S3, the 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 respectively specifically includes the following steps:
s31: comparing the high-intensity rebound distribution polymerizability index and the medium-intensity rebound distribution polymerizability index with corresponding preset high-intensity rebound distribution polymerizability index threshold and medium-intensity rebound distribution polymerizability index threshold respectively;
s32a: when the high-strength rebound distribution polymerizability index and the medium-strength rebound distribution polymerizability index are respectively larger than the corresponding preset high-strength rebound distribution polymerizability index threshold and medium-strength rebound distribution polymerizability 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 the first set of parameters is selected,
s32b: 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; and calculating the compressive strength value of the concrete member according to the optimized high-strength average rebound value and the medium-strength average rebound value.
The high-intensity rebound distribution polymerization index and the medium-intensity rebound distribution polymerization index can be used for representing the distribution concentration degree of the rebound values of the measuring points corresponding to each rebound detection partition on the concrete member, so that the rebound values of the measuring points corresponding to each rebound detection partition can be restrained through a preset high-intensity rebound distribution polymerization index threshold and a medium-intensity rebound distribution polymerization index threshold, when the high-intensity rebound distribution polymerization index and the medium-intensity rebound distribution polymerization index are respectively smaller than the corresponding preset high-intensity rebound distribution polymerization index threshold and medium-intensity rebound distribution polymerization index threshold, the distribution comparison concentration of the rebound values of the measuring points corresponding to each rebound detection partition on the concrete member is indicated, and at the moment, the compressive strength value of the concrete member can be calculated directly according to the high-intensity average rebound values and the medium-intensity average rebound values, otherwise, the high-intensity average rebound values and the medium-intensity average rebound values need to be optimized, so that the accuracy of calculation results is ensured.
When any one of the high-intensity rebound distribution polymerizability index and the medium-intensity rebound distribution polymerizability index is equal to or smaller than the corresponding preset high-intensity rebound distribution polymerizability index threshold value and medium-intensity rebound distribution polymerizability index threshold value, the distribution of the corresponding high-intensity rebound value and/or medium-intensity rebound value is considered to be not concentrated enough, and the compressive strength of the concrete member cannot be completely characterized by the compressive strength obtained by mean value conversion.
Here, the high-intensity rebound distribution polymerizability index threshold is taken to be 0.7, and the medium-intensity rebound distribution polymerizability index threshold is taken to be 0.75. The high-intensity rebound distribution polymerization index is approximately close to 1, which indicates that the high-intensity rebound is concentrated near the arithmetic average value, whereas the high-intensity rebound is not concentrated, and the high-intensity rebound value of more rebound measuring points deviates from the arithmetic average value or the high-intensity rebound value of the rebound measuring points deviates more from the arithmetic average value. Similarly, the larger the high-intensity rebound distribution polymerization index threshold value is, the more strict the concentration degree constraint on the high-intensity rebound value is indicated, and on the contrary, the more loose the concentration degree constraint on the high-intensity rebound value is indicated.
In one or more embodiments of the present invention, in S32b, when the high-intensity rebound distribution polymerizability index and/or the medium-intensity rebound distribution polymerizability index are smaller than the high-intensity rebound distribution polymerizability index and/or the medium-intensity rebound distribution polymerizability index, respectively, optimizing the high-intensity average rebound value and the medium-intensity average rebound value specifically includes the following steps:
s321 b: determining the high-strength rebound value discrete level and the medium-strength rebound value discrete level of the concrete member according to the high-strength rebound distribution polymerizability index and/or the medium-strength rebound distribution polymerizability index;
s322b: respectively screening the high-strength rebound value and the medium-strength rebound value in the rebound detection zone according to the high-strength rebound value discrete level and the medium-strength rebound value discrete level;
s323b: and respectively calculating the high-strength rebound value and the medium-strength rebound value in the rebound detection partition according to the high-strength rebound value and the medium-strength rebound value after screening in the rebound detection partition.
When the high-intensity rebound distribution polymerization index and/or the medium-intensity rebound distribution polymerization index are/is smaller than the corresponding preset high-intensity rebound distribution polymerization index threshold and medium-intensity rebound distribution polymerization index threshold respectively, the distribution of the rebound values of the measuring points corresponding to each rebound detection partition on the concrete member is relatively discrete, and at the moment, proper numbers of high-intensity rebound values and medium-intensity rebound values are screened by determining the high-intensity rebound value discrete level and the medium-intensity rebound value discrete level so as to obtain more accurate high-intensity average rebound values and medium-intensity average rebound values.
In the embodiment of the invention, the discrete level of the high-strength rebound value and the discrete level of the medium-strength rebound value are respectively provided with four levels, and a specific discrete level comparison table is shown in the following table 1.
TABLE 1
Optionally, in one or more embodiments of the present invention, in S322, the screening the high-intensity resilience value and the medium-intensity resilience value in the resilience detection zone according to the high-intensity resilience value discrete level and the medium-intensity resilience value discrete level respectively specifically includes the following steps:
s3221 b: determining the sample quantity a of the high-strength rebound value and the medium-strength rebound value in the rebound detection partition according to a preset discrete level comparison table and the extraction proportion;
s3222b: firstly, respectively selecting a/2 samples which are larger in difference with the average value of all the high-strength rebound values and the average value of all the medium-strength rebound values from the high-strength rebound values and the medium-strength rebound values in the rebound detection partition, randomly selecting a/2 samples from the rest high-strength rebound values and the medium-strength rebound values in the rebound detection partition, and combining the samples selected twice successively to be used as the high-strength rebound values and the medium-strength rebound values after screening.
The sample numbers of the high-strength rebound value and the medium-strength rebound value are respectively selected according to the high-strength rebound value discrete level and the medium-strength rebound value discrete level, the sample numbers are a/2 numbers which are larger than the average value of all the high-strength rebound values and the average value of all the medium-strength rebound values, and the remaining a/2 numbers which are randomly selected from the high-strength rebound value and the medium-strength rebound value are formed, so that the whole compressive strength of the concrete member can be more accurately represented, 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 rebound value and the medium-strength average rebound value specifically includes the following steps:
s33b: calculating a combined compressive strength value of the concrete construction according to the optimized high-strength average rebound value and the medium-strength average rebound value;
the combined compressive strength value of the concrete construction 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 invention is not described in detail.
S34b: and performing curve fitting on the combined compressive strength values of the concrete construction by adopting a least square method to obtain a compressive strength curve of the concrete construction, and determining the compressive strength value of the concrete member according to the compressive strength curve.
The combined compressive strength value of the concrete construction can be calculated according to the optimized high-strength average rebound value and medium-strength average rebound value, so that more accurate rebound detection results can be further obtained according to rebound detection of different impact energies, and then curve fitting is performed on the combined compressive strength value of the concrete construction according to a least square method to obtain a compressive strength curve of the concrete construction, thereby finally obtaining more accurate compressive strength values.
Optionally, in one or more embodiments of the present invention, the method for detecting compressive strength of a concrete member based on a rebound method further includes the steps of:
s4: and repeatedly detecting the compressive strength value of the concrete member at each set time interval, 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 compression strength value of the concrete member is repeatedly detected at each set time interval, so that the change rate of the compression strength value can be obtained by comparison, and further the compression strength performance change of the concrete member can be obtained, thereby providing scientific basis for the prediction of the compression strength life of the concrete member and the safety precaution.
Specifically, for example, the compressive 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 compressive strength value is calculated according to the compressive strength values measured before and after, and compared with the set compressive strength change rate threshold, if the change rate of the compressive strength value exceeds the compressive strength change rate threshold, the defect of the compressive property of the concrete member is indicated, the safe service life of the concrete member can be predicted according to the compressive strength change rate, and the time required for the compressive strength value of the concrete material with the same proportion to be reduced to the preset compressive strength value is predicted according to the compressive strength change rate, namely the safe service life of the concrete member, or early warning and the like according to the safe service life of the concrete member.
As shown in fig. 2, the invention further provides a compressive 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 at 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; a target detection area is preset on the concrete member, a plurality of rebound detection partitions are arranged in the target detection area, and rebound measuring points in each rebound detection partition are arranged;
the first calculation module is used for calculating a high-strength average rebound value and a medium-strength average rebound value according to the high-strength rebound values and the medium-strength rebound values corresponding to all rebound measuring points in the target detection area, and calculating a high-strength rebound distribution polymerization index and a medium-strength rebound distribution polymerization index corresponding to the concrete member respectively;
the second calculation module is used for optimizing 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 respectively, and calculating the compressive strength value of the concrete member according to the optimized high-strength average rebound value and medium-strength average rebound value.
According to the compressive strength detection system of the concrete member based on the rebound method, the high-strength average rebound value and the medium-strength average rebound value are optimized by calculating 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, so that 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 more represented, a more accurate detection result is obtained, and more scientific basis is provided for concrete manufacture and construction.
In one or more embodiments of the present invention, the specific implementation of the first calculation module to optimize the high-strength average resilience value and the medium-strength average resilience value according to the high-strength resilience distribution polymerizability index and the medium-strength resilience distribution polymerizability index respectively is:
comparing the high-intensity rebound distribution polymerizability index and the medium-intensity rebound distribution polymerizability index with corresponding preset high-intensity rebound distribution polymerizability index threshold and medium-intensity rebound distribution polymerizability index threshold respectively;
when the high-strength rebound distribution polymerizability index and the medium-strength rebound distribution polymerizability index are respectively larger than the corresponding preset high-strength rebound distribution polymerizability index threshold and medium-strength rebound distribution polymerizability 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 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; and calculating the compressive strength value of the concrete member according to the optimized high-strength average rebound value and the medium-strength average rebound value.
The high-intensity rebound distribution polymerization index and the medium-intensity rebound distribution polymerization index can be used for representing the distribution concentration degree of the rebound values of the measuring points corresponding to each rebound detection partition on the concrete member, so that the rebound values of the measuring points corresponding to each rebound detection partition can be restrained through a preset high-intensity rebound distribution polymerization index threshold and a medium-intensity rebound distribution polymerization index threshold, when the high-intensity rebound distribution polymerization index and the medium-intensity rebound distribution polymerization index are respectively smaller than the corresponding preset high-intensity rebound distribution polymerization index threshold and medium-intensity rebound distribution polymerization index threshold, the distribution comparison concentration of the rebound values of the measuring points corresponding to each rebound detection partition on the concrete member is indicated, and at the moment, the compressive strength value of the concrete member can be calculated directly according to the high-intensity average rebound values and the medium-intensity average rebound values, otherwise, the high-intensity average rebound values and the medium-intensity average rebound values need to be optimized, so that the accuracy of calculation results is ensured.
In one or more embodiments of the present invention, the specific implementation of the first calculation module to optimize the high-strength average resilience value and the medium-strength average resilience value according to the high-strength resilience distribution polymerizability index and/or the medium-strength resilience distribution polymerizability index is:
determining the high-strength rebound value discrete level and the medium-strength rebound value discrete level of the concrete member according to the high-strength rebound distribution polymerizability index and/or the medium-strength rebound distribution polymerizability index;
respectively screening the high-strength rebound value and the medium-strength rebound value in the rebound detection zone according to the high-strength rebound value discrete level and the medium-strength rebound value discrete level;
and respectively calculating the high-strength rebound value and the medium-strength rebound value in the rebound detection partition according to the high-strength rebound value and the medium-strength rebound value after screening in the rebound detection partition.
When the high-intensity rebound distribution polymerization index and/or the medium-intensity rebound distribution polymerization index are/is smaller than the corresponding preset high-intensity rebound distribution polymerization index threshold and medium-intensity rebound distribution polymerization index threshold respectively, the distribution of the rebound values of the measuring points corresponding to each rebound detection partition on the concrete member is relatively discrete, and at the moment, proper numbers of high-intensity rebound values and medium-intensity rebound values are screened by determining the high-intensity rebound value discrete level and the medium-intensity rebound value discrete level so as to obtain more accurate high-intensity average rebound values and medium-intensity average rebound values.
Optionally, in one or more embodiments of the present invention, the specific implementation of the first calculation module to screen the high-intensity resilience value and the medium-intensity resilience value in the resilience detection zone according to the high-intensity resilience value discrete level and the medium-intensity resilience value discrete level respectively is:
determining the sample quantity a of the high-strength rebound value and the medium-strength rebound value in the rebound detection partition according to a preset discrete level comparison table and the extraction proportion;
firstly, respectively selecting a/2 samples which are larger in difference with the average value of all the high-strength rebound values and the average value of all the medium-strength rebound values from the high-strength rebound values and the medium-strength rebound values in the rebound detection partition, randomly selecting a/2 samples from the rest high-strength rebound values and the medium-strength rebound values in the rebound detection partition, and combining the samples selected twice successively to be used as the high-strength rebound values and the medium-strength rebound values after screening.
The sample numbers of the high-strength rebound value and the medium-strength rebound value are respectively selected according to the high-strength rebound value discrete level and the medium-strength rebound value discrete level, the sample numbers are a/2 numbers which are larger than the average value of all the high-strength rebound values and the average value of all the medium-strength rebound values, and the remaining a/2 numbers which are randomly selected from the high-strength rebound value and the medium-strength rebound value are formed, so that the whole compressive strength of the concrete member can be more accurately represented, and a more accurate detection result is obtained.
The foregoing description of the preferred embodiments of the invention is not intended to limit the invention to the precise form disclosed, and any such modifications, equivalents, and alternatives falling within the spirit and scope of the invention are intended to be included within the scope of the invention.
Claims (4)
1. The method for detecting the compressive strength of the concrete member based on the rebound method is characterized by comprising the following steps of:
setting a target detection area on a concrete member, determining a plurality of rebound detection partitions and rebound measuring points in each rebound detection partition 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 rebound value and a medium-strength average rebound value according to the high-strength rebound values and the medium-strength rebound values corresponding to all rebound measuring points in the target detection area, and respectively calculating a high-strength rebound distribution polymerizability index and a medium-strength rebound distribution polymerizability index corresponding to the concrete member;
optimizing 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, and calculating the compressive strength value of the concrete member according to the optimized high-strength average rebound value and medium-strength average rebound value;
The optimizing of 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 comprises the following steps:
comparing the high-intensity rebound distribution polymerizability index and the medium-intensity rebound distribution polymerizability index with corresponding preset high-intensity rebound distribution polymerizability index threshold and medium-intensity rebound distribution polymerizability index threshold respectively;
when the high-strength rebound distribution polymerizability index and the medium-strength rebound distribution polymerizability index are respectively larger than the corresponding preset high-strength rebound distribution polymerizability index threshold and medium-strength rebound distribution polymerizability 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 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; calculating the compressive strength value of the concrete member according to the optimized high-strength average rebound value and the medium-strength average rebound value;
the 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 rebound value discrete level and the medium-strength rebound value discrete level of the concrete member according to the high-strength rebound distribution polymerizability index and/or the medium-strength rebound distribution polymerizability index;
respectively screening the high-strength rebound value and the medium-strength rebound value in the rebound detection zone according to the high-strength rebound value discrete level and the medium-strength rebound value discrete level;
respectively calculating the high-strength rebound value and the medium-strength rebound value in the rebound detection partition according to the high-strength rebound value and the medium-strength rebound value screened in the rebound detection partition;
the step of screening the high-intensity resilience value and the medium-intensity resilience value in the resilience detection zone according to the high-intensity resilience value discrete level and the medium-intensity resilience value discrete level respectively specifically comprises the following steps:
determining the sample quantity a of the high-strength rebound value and the medium-strength rebound value in the rebound detection partition according to a preset discrete level comparison table and the extraction proportion;
firstly, respectively selecting a/2 samples which are larger in difference with the average value of all the high-strength rebound values and the average value of all the medium-strength rebound values from the high-strength rebound values and the medium-strength rebound values in the rebound detection partition, randomly selecting a/2 samples from the rest high-strength rebound values and the medium-strength rebound values in the rebound detection partition, and combining the samples selected twice successively to be used as the high-strength rebound values and the medium-strength rebound values after screening.
2. The method for detecting the compressive strength of the concrete member based on the rebound method as claimed in claim 1, wherein said calculating the compressive strength of the concrete member based on the optimized high-strength average rebound value and the medium-strength average rebound value specifically comprises the steps of:
calculating a combined compressive strength value of the concrete construction according to the optimized high-strength average rebound value and the medium-strength average rebound value;
and performing curve fitting on the combined compressive strength values of the concrete construction by adopting a least square method to obtain a compressive strength curve of the concrete construction, and determining the compressive strength value of the concrete member according to the compressive strength curve.
3. The method for detecting the compressive strength of a concrete member based on the rebound method according to claim 1, further comprising the steps of:
and repeatedly detecting the compressive strength value of the concrete member at each set time interval, 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.
4. A concrete member compressive strength detecting system based on rebound method, its characterized in that: the device comprises a rebound detection module, a first calculation module and a second calculation module;
The rebound detection module is used for measuring at 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; a target detection area is preset on the concrete member, a plurality of rebound detection partitions are arranged in the target detection area, and rebound measuring points in each rebound detection partition are arranged;
the first calculation module is used for calculating a high-strength average rebound value and a medium-strength average rebound value according to the high-strength rebound values and the medium-strength rebound values corresponding to all rebound measuring points in the target detection area, and calculating a high-strength rebound distribution polymerization index and a medium-strength rebound distribution polymerization index corresponding to the concrete member respectively;
the second calculation module is used for respectively optimizing 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, and calculating the compressive strength value of the concrete member according to the optimized high-strength average rebound value and medium-strength average rebound value;
the specific implementation of the first calculation module to optimize 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:
Comparing the high-intensity rebound distribution polymerizability index and the medium-intensity rebound distribution polymerizability index with corresponding preset high-intensity rebound distribution polymerizability index threshold and medium-intensity rebound distribution polymerizability index threshold respectively;
when the high-strength rebound distribution polymerizability index and the medium-strength rebound distribution polymerizability index are respectively larger than the corresponding preset high-strength rebound distribution polymerizability index threshold and medium-strength rebound distribution polymerizability 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 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; calculating the compressive strength value of the concrete member according to the optimized high-strength average rebound value and the medium-strength average rebound value;
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, and specifically realizes that:
determining the high-strength rebound value discrete level and the medium-strength rebound value discrete level of the concrete member according to the high-strength rebound distribution polymerizability index and/or the medium-strength rebound distribution polymerizability index;
Respectively screening the high-strength rebound value and the medium-strength rebound value in the rebound detection zone according to the high-strength rebound value discrete level and the medium-strength rebound value discrete level;
respectively calculating the high-strength rebound value and the medium-strength rebound value in the rebound detection partition according to the high-strength rebound value and the medium-strength rebound value screened in the rebound detection partition;
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 high-strength rebound value discrete level and the medium-strength rebound value discrete level is as follows:
determining the sample quantity a of the high-strength rebound value and the medium-strength rebound value in the rebound detection partition according to a preset discrete level comparison table and the extraction proportion;
firstly, respectively selecting a/2 samples which are larger in difference with the average value of all the high-strength rebound values and the average value of all the medium-strength rebound values from the high-strength rebound values and the medium-strength rebound values in the rebound detection partition, randomly selecting a/2 samples from the rest high-strength rebound values and the medium-strength rebound values in the rebound detection partition, and combining the samples selected twice successively to be used as the high-strength rebound values and the medium-strength rebound values after screening.
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