CN112906234A - Method for measuring strength curve data regression by concrete strength rebound method - Google Patents
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Abstract
The invention relates to the technical field of measuring concrete strength by a rebound method, in particular to a method for measuring strength curve data regression by a rebound method of concrete strength. The method comprises the steps of carrying out regression fitting on all test data to obtain a measured intensity curve; and calculating the data in the range of the concrete strength interval with the unsatisfied error statistical index according to a strength measuring curve to obtain the corresponding concrete conversion strength of the measuring area, taking the concrete conversion strength of the measuring area as an independent variable and the concrete compressive strength of the corresponding measuring area as a dependent variable, and carrying out regression fitting on the partial data according to the principle of a least square method to obtain a corresponding regression equation, wherein the regression equation is the corrected strength measuring curve. According to the least square method principle, secondary regression fitting is carried out on data in a certain concrete strength interval range to obtain a correction curve, the resilience method strength measuring curves are unified to one strength measuring curve, errors of corresponding concrete strength sections are reduced, and the detection precision of the resilience method strength measuring curves in the whole concrete strength interval is improved.
Description
Technical Field
The invention relates to the technical field of measuring concrete strength by a rebound method, in particular to a method for measuring strength curve data regression by a rebound method of concrete strength.
Background
The rebound method test data usually adopt a test area rebound value and a carbonization depth as regression independent variables, corresponding concrete compressive strength as a dependent variable, effective data obtained by the test is subjected to regression fitting by adopting a least square method to obtain a regression equation (or a strength measurement curve), and when the error technical indexes meet the average relative error and relative standard difference specified values specified in JGJ/T23-2011 technical specification for detecting the concrete compressive strength by the rebound method, JGJ/T294-2013 technical specification for detecting the high-strength concrete strength, the regression equation (or the strength measurement curve) can be used as the strength measurement curve for detecting the rebound method.
In the actual data regression processing process, after a regression equation (or a strength measurement curve) is found to be obtained sometimes, the average relative error value and the relative standard difference value obtained through statistics do not meet the allowable range of the average relative error and the relative standard difference specified in JGJ/T23-2011 technical specification for detecting the compressive strength of concrete through a rebound method and JGJ/T294-2013 technical specification for detecting the strength of high-strength concrete, but within a certain range of concrete strength intervals, the error statistic value obtained through calculation meets the error technical index requirements of the JGJ/T23-2011 and the JGJ/T294-2013 specifications, the error statistic value obtained through calculation within other strength intervals does not meet the error technical index requirements of the JGJ/T23-2011 and the JGJ/T294-2013 specifications, and the regression equation (or the strength measurement curve) obtained at this time can not be applied to concrete of an actual engineering structural member And (4) estimating the compressive strength.
After a scatter diagram of independent variables and dependent variables is made, the obtained regression equation is found to be suitable for a certain concrete compressive strength interval range but not suitable for another concrete compressive strength interval range, and the data scatter diagram has good regularity in an inapplicable concrete compressive strength interval. At this time, the test data can be segmented according to the concrete strength interval according to specific conditions, and the least square method is adopted to perform regression fitting on each segment of test data respectively so as to obtain two or more regression equations (or strength measurement curves) of each segment meeting specified error technical indexes, but the method cannot unify the regression equations (or strength measurement curves) to a unified regression equation to be applied to the detection of the compressive strength of the concrete with the engineering structure.
Disclosure of Invention
The invention aims to provide a method for measuring the regression of strength curve data by a concrete strength rebound method, which can solve the problems in the prior art;
the invention provides a method for measuring strength curve data regression by a concrete strength rebound method, which comprises the following steps:
performing regression fitting on all test data to obtain a strength measurement curve;
and calculating the data in the range of the concrete strength interval with the unsatisfied error statistical index according to a strength measuring curve to obtain the corresponding concrete conversion strength of the measuring area, taking the concrete conversion strength of the measuring area as an independent variable and the concrete compressive strength of the corresponding measuring area as a dependent variable, and carrying out regression fitting on the partial data according to the principle of a least square method to obtain a corresponding regression equation, wherein the regression equation is the corrected strength measuring curve.
Preferably, the method for determining the unsatisfactory concrete strength interval range comprises the following steps:
and calculating the average relative error and the relative standard deviation of the strength measurement curve, determining whether the specified requirements of corresponding error technical indexes are met, and simultaneously determining the range of the concrete strength interval which is not met by the statistical indexes of the strength measurement curve errors.
Preferably, the measured intensity curve obtained by regression fitting of all the test data is:
In the formula (I), the compound is shown in the specification,
the conversion strength value of the concrete in the measuring area is accurate to 0.1MPa, Rm,iThe rebound value of the ith measurement area is accurate to 0.1, dm,iAnd the average carbonized depth value of the ith measuring area is obtained.
Preferably, the calculation formulas of the average relative error and the relative standard deviation of the intensity measurement curve are respectively as follows:
in the formula: delta is the intensity average relative error of the regression equation, and is accurate to 0.01 percent; e.g. of the typerThe intensity of the regression equation is accurate to 0.01% relative to the standard error; n is the number of test pieces for making a regression equation; f. ofcu,cor,iThe concrete compressive strength of a core sample test piece corresponding to the ith test area is accurate to 0.1 MPa.
Preferably, the corrected intensity measurement curve is:
in the formula, a and b are correction factors of the corrected intensity measurement curve,
the concrete conversion strength value of the test area is accurate to 0.1 MPa;
when the error technical index value meets the detection of the concrete compressive strength interval of the requirement, the values of the correction factors a and b are 1 and 0;
when the concrete compressive strength interval with the error technical index value not meeting the requirement is detected, the values of the correction factors a and b are a0、b0，a0、b0The coefficients of the corrected measured intensity curve are obtained.
Has the advantages that:
according to the least square method principle, secondary regression fitting is carried out on data in a certain concrete strength interval range to obtain a correction curve, the resilience method strength measuring curves are unified to one strength measuring curve, errors of corresponding concrete strength sections are reduced, and the detection precision of the resilience method strength measuring curves in the whole concrete strength interval is improved.
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In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, and it is obvious that the drawings in the following description are some embodiments of the present invention, and other drawings can be obtained by those skilled in the art without creative efforts.
FIG. 1 is a flowchart of a method for measuring regression of strength curve data by a concrete strength rebound method according to an embodiment of the present invention;
fig. 2 is a relationship between a representative value of the rebound of the measurement area and the compressive strength of the concrete provided by the embodiment of the invention.
Detailed Description
The technical solutions of the present invention will be described clearly and completely with reference to the following embodiments, and it should be understood that the described embodiments are some, but not all, embodiments of the present invention. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
In the description of the present invention, it is to be understood that the terms "center", "longitudinal", "lateral", "length", "width", "thickness", "upper", "lower", "front", "rear", "left", "right", "vertical", "horizontal", "top", "bottom", "inner", "outer", "clockwise", "counterclockwise", and the like, indicate orientations and positional relationships based on those shown in the drawings, and are used only for convenience of description and simplicity of description, and do not indicate or imply that the device or element being referred to must have a particular orientation, be constructed and operated in a particular orientation, and thus, should not be considered as limiting the present invention.
Furthermore, the terms "first", "second" and "first" are used for descriptive purposes only and are not to be construed as indicating or implying relative importance or implicitly indicating the number of technical features indicated. Thus, features defined as "first", "second", may explicitly or implicitly include one or more of the described features. In the description of the present invention, "a plurality" means two or more unless specifically defined otherwise. Furthermore, the terms "mounted," "connected," and "connected" are to be construed broadly and may, for example, be fixedly connected, detachably connected, or integrally connected; can be mechanically or electrically connected; they may be connected directly or indirectly through intervening media, or they may be interconnected between two elements. The specific meanings of the above terms in the present invention can be understood in specific cases to those skilled in the art.
As shown in fig. 1, the present embodiment provides a method for measuring regression of strength curve data by a concrete strength rebound method, which includes the following steps:
performing regression fitting on all test data to obtain a strength measurement curve;
and calculating the data in the range of the concrete strength interval with the unsatisfied error statistical index according to a strength measuring curve to obtain the corresponding concrete conversion strength of the measuring area, taking the concrete conversion strength of the measuring area as an independent variable and the concrete compressive strength of the corresponding measuring area as a dependent variable, and carrying out regression fitting on the partial data according to the principle of a least square method to obtain a corresponding regression equation, wherein the regression equation is the corrected strength measuring curve.
Preferably, the method for determining the unsatisfactory concrete strength interval range comprises the following steps:
and calculating the average relative error and the relative standard deviation of the strength measurement curve, determining whether the specified requirements of corresponding error technical indexes are met, and simultaneously determining the range of the concrete strength interval which is not met by the statistical indexes of the strength measurement curve errors.
The calculation formulas of the average relative error and the relative standard deviation of the intensity measurement curve are respectively as follows:
in the formula: delta is the intensity average relative error of the regression equation, and is accurate to 0.01 percent; e.g. of the typerThe intensity of the regression equation is accurate to 0.01% relative to the standard error; n is the number of test pieces for making a regression equation; f. ofcu,cor,iThe concrete compressive strength of a core sample test piece corresponding to the ith test area is accurate to 0.1 MPa.
Specifically, the average relative error and the relative standard deviation of the regression equation (or the strength measurement curve) are calculated according to the technical rules for detecting the compressive strength of the concrete by the rebound method of JGJ/T23-2011 and the technical rules for detecting the strength of the high-strength concrete of JGJ/T294-2013, whether the requirements of the corresponding technical error indexes are met is determined, and meanwhile, the range of the concrete strength interval which is not met by the error statistical indexes of the regression equation (or the strength measurement curve) is determined.
And (3) performing regression fitting on all effective test data of the rebound method according to the principle of a least square method to obtain a strength measurement curve:
In the formula (I), the compound is shown in the specification,
the conversion strength value of the concrete in the measuring area is accurate to 0.1MPa, Rm,iThe rebound value of the ith measurement area is accurate to 0.1, dm,iAnd the average carbonized depth value of the ith measuring area is obtained.
After the corrected strength measurement curve is obtained, the average relative error and the relative standard deviation of the corrected regression equation (or the strength measurement curve) in the concrete strength interval are calculated according to the regulations of JGJ/T23-2011 technical specification for detecting the compressive strength of the concrete by the rebound method, and whether the requirements of the corresponding error technical indexes are met is determined.
The corrected strength measurement curve is as follows:
in the formula, a and b are correction factors of the corrected intensity measurement curve,
the concrete conversion strength value of the test area is accurate to 0.1 MPa;
when the error technical index value meets the detection of the concrete compressive strength interval of the requirement, the values of the correction factors a and b are 1 and 0;
when the concrete compressive strength interval with the error technical index value not meeting the requirement is detected, the values of the correction factors a and b are a0、b0，a0、b0The coefficients of the corrected measured intensity curve are obtained.
In summary, in the embodiment, the corrected strength measurement curve obtained by adding the quadratic regression to the original regression equation (or the strength measurement curve) in the unsuitable range of the concrete strength interval is adopted, so that the error statistical result of the corresponding concrete strength interval is reduced, the detection accuracy of the strength measurement curve by the rebound method is improved, and meanwhile, the concrete strength of the measurement area is calculated by adopting the unified regression equation.
In order to further illustrate the method for measuring the regression of the strength curve data by the concrete strength rebound method, the embodiment provides two specific examples, which are specifically shown as follows:
EXAMPLE 1 nominal energy 2.207J Medium-sized resiliometer test Long-age Ready-mix (Pump) concrete Strength measurement Curve
1 concrete raw material, matching ratio and solid test model
The local commercial concrete Limited company with large entrusted concrete production and stable quality adopts common raw materials and concrete mixing ratio to configure 1 solid test model of full-scale structure with pumping, pouring and molding strength grades of C20, C30, C50 and C60, wherein the wall panel member is configured with reinforcements, naturally maintained after being maintained to a specified age according to construction specifications and is left bare for standby.
2 measurement of test data
A200 mm multiplied by 200mm measuring area is arranged on the side face of a wall body for testing of a full-scale structure entity test model along the height direction, when the age is 28d, 60d, 90d, 120d, 150d, 360d, 2y and 3y, the rebound test and the concrete carbonization depth measurement are carried out when the test site temperature is in the range of (-4-40) DEG C of the working temperature of a medium-sized rebound tester with nominal energy 2.207J, and a core sample with the diameter of 100mm is drilled in the concrete of the corresponding rebound measuring area. After the core sample is processed into a standard test piece, a press machine is used for carrying out a concrete mechanical property test. The test data test accords with the existing JGJ/T23-2011 technical specification for detecting the compressive strength of the concrete by a rebound method and the CECS 02: 2007 technical specification for detecting the strength of the concrete by a core drilling method.
3 gross error data analysis
And removing gross error test data according to Grubbs test method in GB/T4883-2008 'statistical processing of data and judgment and processing of explaining normal sample outlier'.
4-measurement-area carbonization depth value taking method
The rebound method strength measurement curve mathematical model selects two forms of a power function only containing a measurement area rebound value parameter and a composite power exponential function simultaneously containing a measurement area rebound value and a corresponding carbonization depth parameter. Before the regression fitting of the composite power exponential function form is adopted, a rule is formulated for the measured area carbonization depth value, wherein the measured area carbonization depth value of the rule II is consistent with the current JGJ/T23-2011 procedure.
The method comprises the following steps: taking a measured value of the carbonization depth of the measurement area;
rule 2: when the carbonization depth of the measuring area is more than or equal to 6.0mm, taking 6.0 mm;
rule (c): when the carbonization depth of the measuring area is more than or equal to 8.0mm, taking 8.0 mm;
rule iv: when the carbonization depth of the measuring area is more than or equal to 10.0mm, 10.0mm is taken.
5 rebound method strength measuring curve
5.1 modeling of Strength measurement Curve
And (3) performing regression on the effective test data according to the principle of least square method, and fitting to obtain a rebound method strength measurement curve, which is shown in formula (1):
the correlation coefficient r of the formula (1) is 0.90, the average relative error delta is +/-13.5 percent, and the relative standard deviation erThe error value is 16.9 percent, and the error value meets the requirement of the error index of the area strength measurement curve in the JGJ/T23-2011 procedure.
5.2 regression to measure the error statistics of the strong curve
The existing JGJ/T23-2011 is suitable for detecting the compressive strength of common concrete, and the established national unified strength measurement curve of the pumped concrete has the application range of (10-60) MPa. In order to ensure the detection precision of the established springback method strength measurement curve formula (1), the applicability of the springback method strength measurement curve formula in a concrete compressive strength (60-90) MPa section needs to be verified, and the error statistical result before the concrete high-strength section is corrected is shown in Table 1. As shown in Table 1, the established springback method strength measurement curve formula (1) has a large error in the concrete strength (60-70) MPa and (80-90) MPa sections.
TABLE 1 high Strength section error statistics of concrete
5.3 correction of concrete high-strength section springback strength measurement curve
Bringing the rebound value of the measuring area corresponding to the compressive strength of the core sample specimen not less than 60.0MPa in the test data and the corresponding carbonization depth value of the measuring area into formula (1), calculating to obtain the concrete strength conversion value of each measuring area, establishing the correlation between the concrete strength conversion value of the measuring area and the corresponding compressive strength of the core sample specimen by adopting a linear mathematical model according to the least square method principle, and obtaining the optimal linear correction formula (2) by regression fitting.
The error of the (60-90) MPa high-strength section test data corrected by the formula (2) is shown in table 1, and the table 1 shows that the error statistic value of the corrected strength measurement curve is obviously lower than the error value before correction, and the corrected error meets the technical index regulation of the special strength measurement curve in JGJ/T23-2011.
6. Long-age premixed (pumped) concrete unified strength measurement curve detected by medium-sized resiliometer with nominal energy of 2.207J
The established unified strength measurement curve of the long-age premixed (pumped) concrete by the medium-sized resiliometer with the nominal energy 2.207J is shown in a formula (3), and the formula is suitable for the compressive strength of structural solid concrete poured and formed by the long-age premixed (pumped) concrete with the detection age of 28 d-3 y of the medium-sized resiliometer with the nominal energy 2.207J, the concrete configuration strength grade of C20-C60 and the conversion strength of the concrete in a measuring area of (20-90) MPa.
In the formula
The concrete conversion strength value of the test area is accurate to 0.1 MPa;
calculating the converted strength value of the concrete in the measuring area before correction by the formula (1) to be accurate to 0.1 MPa; a. b is a correction factor (or coefficient to be regressed).
The correction factor value rule is as follows:
when calculated from the formula (1)
When the pressure is less than 60.0MPa, the correction factors a and b are 1 and 0 in sequence;
when calculated from the formula (1)
When the pressure is not less than 60.0MPa, 0.4793 and 38.8 are sequentially taken as the correction factors a and b, and the converted strength value of the concrete in the measurement area after correction is not more than 90 MPa.
EXAMPLE 2 nominal energy 4.5J heavy-duty Resilience Meter for Ready-mix (Pump) concrete Resilience method Strength Curve
1 concrete raw material, matching ratio and solid test model
The method comprises the steps of adopting 1 solid test model of full-scale structures with strength grades of C20, C30, C40, C50, C60 and C700 which are prepared and cast by pumping according to local common raw materials and the mix proportion of concrete, manufacturing and molding cubic test blocks with the strength grades of C80 and C100 by a laboratory according to a standard method, removing a mold for 24 hours, wherein a column wall plate member is provided with reinforcing bars, and after concrete is cured to a specified age according to corresponding construction specifications, naturally curing and placing in an exposed mode for later use.
Physical parameter testing for 2 regression
A200 mm multiplied by 200mm measuring area is arranged on the concrete side surface of a column member for test of a full-scale structural entity test model along the height direction, when the age is 28d, 60d, 90d, 120d, 150d and 180d, a heavy-duty rebound tester with nominal energy of 4.5J horizontally pours the side surface of the impact concrete, 16 rebound values are removed from 3 maximum values and 3 minimum values in each measuring area, and the average value of the remaining 10 effective rebound values is taken as the representative value of the rebound in the measuring area. After the resilience value is tested, drilling a cylindrical concrete core sample with the diameter of 100mm by a core drilling machine corresponding to the testing area, processing the core sample into a standard test piece, and then carrying out a concrete mechanical property test by a microcomputer-controlled press machine to obtain the compressive strength of the core sample test piece. And (3) placing the side surface of the standard cubic test block between pressure bearing plates of a microcomputer-controlled press, and testing the rebound value of the side surface of the concrete and the compressive strength of the cubic test block according to the method after applying a constant load (60-100) kN. The data test conforms to the existing JGJ/T294-2013 technical specification for high-strength concrete strength detection and CECS 02: 2007 technical regulation for detecting concrete strength by core drilling method.
3 rebound method strength measuring curve
3.1 modeling of Strength measurement Curve
And (3) performing regression on effective test data according to the principle of a least square method, fitting to obtain an optimal rebound method strength measurement curve shown in the formula (1), wherein the relation between the rebound representative value of the measurement area and the compressive strength of the concrete is shown in figure 2.
The correlation coefficient r of the formula (1) is 0.92, the average relative error delta is +/-8.92 percent, and the relative standard deviation er11.4 percent, and meets the technical index specification of the special strength measurement curve in JGJ/T23-2011.
3.2 regression to measure the error analysis of the strong curve
Considering that a JGJ/T294-2013 'high-strength concrete strength detection technical regulation' stipulates that a heavy resiliometer with nominal energy of 4.5J is suitable for detecting the compressive strength of concrete with a strength grade of C50-C80, error checking must be carried out in different regions according to the strength grade of the test concrete, and the statistical result of the errors of the concrete strength grade regions is shown in Table 1. As can be seen from Table 1, in the high-strength section of concrete C50-C100, the error of the regression intensity measurement curve formula (1) meets the specification of the technical index of the special intensity measurement curve; in the low-strength section of the concrete C20-C40, the error of the regression strength measurement curve formula (1) does not meet the technical index specification of the special strength measurement curve, and measures are required to be taken to correct the regression strength measurement curve formula (1).
TABLE 1 statistical results of errors between concrete strength classes
| Interval of intensity class | Mean relative error delta | Relative standard deviation er |
| C20～C40 | ±9.5％ | 12.5％ |
| C50～C100 | ±8.2％ | 9.9％ |
3.3 correction of the Resilience Strength measurement Curve in the Low Strength section of concrete
And (3) calculating the test data of the low-strength sections of the concrete C20-C40 according to a regression strength measurement curve formula (1) to obtain the concrete strength conversion value of each measurement area, and establishing the correlation between the concrete strength conversion value of the measurement area and the corresponding concrete compressive strength according to the least square method principle by adopting a linear mathematical model. Obtaining the optimal linear formula (2) through regression fitting, wherein the correlation coefficient of the formula is 0.79, and the optimal linear formula is obtained
And converting the corrected concrete strength of the measuring area into a value.
The error after correcting the test data of the low intensity grades of C20-C40 by the formula (2) is: the mean relative error delta is + -5.9%, relative standard deviation erThe error value is 8.1 percent and is obviously lower than the error value before correction, and the corrected error meets the technical index regulation of the special strength measurement curve in JGJ/T23-2011.
4 nominal energy 4.5J heavy resiliometer for detecting premixed (pumped) concrete unified strength measuring curve
The established standard energy 4.5J heavy-duty resiliometer detection premixed (pumping) concrete unified strength measurement curve is shown in a formula (3), and the formula is suitable for detecting the compressive strength of premixed (pumping) concrete with the standard energy 4.5J heavy-duty resiliometer detection age of 14 d-180 d and the concrete configuration strength grade of C20-C100.
In the formula
The concrete conversion strength value of the test area is accurate to 0.1 MPa;
calculating the converted strength value of the concrete in the measuring area before correction by the formula (1) to be accurate to 0.1 MPa; a. b is a correction factor (or coefficient to be regressed).
The correction factor value rule is as follows:
when the concrete compressive strength of the strength grade C20-C40 is detected, the correction factors a and b are 1 and 0 in sequence;
when the concrete compressive strength of the strength grades C50-C100 is detected, the correction factors a and b are 0.5153 and 22.8 in sequence.
Finally, it should be noted that: the above embodiments are only used to illustrate the technical solution of the present invention, and not to limit the same; while the invention has been described in detail and with reference to the foregoing embodiments, it will be understood by those skilled in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some or all of the technical features may be equivalently replaced; and the modifications or the substitutions do not make the essence of the corresponding technical solutions depart from the scope of the technical solutions of the embodiments of the present invention.
Claims (5)
1. A method for measuring strength curve data regression by a concrete strength rebound method is characterized by comprising the following steps:
performing regression fitting on all test data to obtain a strength measurement curve;
and calculating the data in the range of the concrete strength interval with the unsatisfied error statistical index according to the strength measurement curve to obtain the corresponding concrete conversion strength of the measurement area, taking the concrete conversion strength of the measurement area as an independent variable and the concrete compressive strength of the corresponding measurement area as a dependent variable, and carrying out regression fitting on the partial data according to the principle of a least square method to obtain a corresponding regression equation, wherein the regression equation is the corrected strength measurement curve.
2. A method of concrete strength rebound testing of the regression of the strength curve data set forth in claim 1: the method for determining the unsatisfied concrete strength interval range comprises the following steps:
and calculating the average relative error and the relative standard deviation of the strength measurement curve, determining whether the specified requirements of corresponding error technical indexes are met, and simultaneously determining the range of the concrete strength interval which is not met by the statistical indexes of the strength measurement curve errors.
3. The method for regression of concrete strength rebound resilience test strength curve data according to claim 1, wherein the regression fitting of all test data yields a strength curve:
In the formula (I), the compound is shown in the specification,
the conversion strength value of the concrete in the measuring area is accurate to 0.1MPa, Rm,iThe rebound value of the ith measurement area is accurate to 0.1, dm,iAnd the average carbonized depth value of the ith measuring area is obtained.
4. The method for regression of concrete strength rebound resilience measured curve data according to claim 2, wherein the calculation formulas of the average relative error and the relative standard deviation of the strength measurement curve are respectively as follows:
in the formula: delta is the intensity average relative error of the regression equation, and is accurate to 0.01 percent; e.g. of the typerThe intensity of the regression equation is accurate to 0.01% relative to the standard error; n is the number of test pieces for making a regression equation; f. ofcu,cor,iThe concrete compressive strength of a core sample test piece corresponding to the ith test area is accurate to 0.1 MPa.
5. The method for regression of concrete strength rebound resilience measured curve data according to claim 1, wherein the corrected strength measurement curve is:
in the formula, a and b are correction factors of the corrected intensity measurement curve,
the concrete conversion strength value of the test area is accurate to 0.1 MPa;
when the error technical index value meets the detection of the concrete compressive strength interval of the requirement, the values of the correction factors a and b are 1 and 0;
when the concrete compressive strength interval with the error technical index value not meeting the requirement is detected, the values of the correction factors a and b are a0、b0，a0、b0The coefficients of the corrected measured intensity curve are obtained.
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| CN113551995A (en) * | 2021-06-29 | 2021-10-26 | 无锡市欧凯电子有限公司 | Hydraulic measurement and control method |
| CN113916177A (en) * | 2021-09-29 | 2022-01-11 | 西安理工大学 | Full-life-cycle nondestructive testing method for concrete dam carbonization depth |
| CN114136820A (en) * | 2021-11-29 | 2022-03-04 | 东南大学 | Testing method for in-situ characterization of 3D printing concrete anisotropy |
| TWI808455B (en) * | 2021-07-26 | 2023-07-11 | 賴瑞星 | Establishment method of quantitative model of water consumption and admixture consumption in concrete proportioning |
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