CN112666200A - Concrete frost resistance evaluation method - Google Patents
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- 238000011156 evaluation Methods 0.000 title claims abstract description 21
- 230000008014 freezing Effects 0.000 claims abstract description 193
- 238000007710 freezing Methods 0.000 claims abstract description 193
- 238000010257 thawing Methods 0.000 claims abstract description 103
- 238000004088 simulation Methods 0.000 claims abstract description 5
- 238000012360 testing method Methods 0.000 claims abstract description 5
- 239000002893 slag Substances 0.000 claims description 31
- 238000000034 method Methods 0.000 claims description 25
- 238000001514 detection method Methods 0.000 claims description 15
- 230000001678 irradiating effect Effects 0.000 claims description 9
- 239000011159 matrix material Substances 0.000 claims description 8
- 238000007664 blowing Methods 0.000 claims description 6
- 238000012545 processing Methods 0.000 claims description 6
- 238000012854 evaluation process Methods 0.000 claims description 4
- 238000004422 calculation algorithm Methods 0.000 claims description 3
- 238000005259 measurement Methods 0.000 claims description 3
- 238000004364 calculation method Methods 0.000 claims description 2
- 230000002528 anti-freeze Effects 0.000 claims 3
- 239000000523 sample Substances 0.000 description 85
- 238000010276 construction Methods 0.000 description 2
- 238000010586 diagram Methods 0.000 description 2
- 239000012520 frozen sample Substances 0.000 description 2
- 239000002994 raw material Substances 0.000 description 2
- 238000006467 substitution reaction Methods 0.000 description 2
- 230000009286 beneficial effect Effects 0.000 description 1
- 238000007599 discharging Methods 0.000 description 1
- 230000000694 effects Effects 0.000 description 1
- 238000003384 imaging method Methods 0.000 description 1
- 230000007774 longterm Effects 0.000 description 1
- 239000000463 material Substances 0.000 description 1
- 238000011160 research Methods 0.000 description 1
- 238000010998 test method Methods 0.000 description 1
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Abstract
The invention relates to a concrete frost resistance evaluation method, which is characterized by comprising the following steps: putting a first part of a sample to be detected into a freeze-thaw bin for pre-freeze thawing, determining the elastic modulus of the sample, and calculating scoring parameters of crack generation and falling muck according to the elastic modulus; putting three samples into a freezing and thawing chamber, putting one sample into a freezing air chamber, putting one sample into a freezing and lighting chamber, and carrying out corresponding tests on the samples so as to grade cracks generated in different environments and dropped muck of the samples; and calculating the comprehensive grade of the sample, and evaluating the freezing resistance of the sample. The freezing and thawing chamber is arranged to simulate the use environment with large day and night temperature difference of the concrete; the freezing chamber is arranged for simulating the use environment of the concrete with severe cold and strong wind; set up and freeze and shine the room and be used for simulating concrete severe cold, the long service environment of sunshine duration, comprehensive simulation concrete service environment reduces concrete frost resistance performance evaluation result error, has increased the security performance of architectural facilities.
Description
Technical Field
The invention relates to the technical field of concrete, in particular to a method for evaluating frost resistance of concrete.
Background
At present, a large amount of infrastructure of China is continuously constructed, and concrete is widely applied to civil engineering because of the characteristics of rich raw materials, excellent construction performance, economy, practicability and the like. The concrete is one of the main raw materials of the foundation construction engineering, and the research on the influence of the natural environment and the climate characteristics on the frost resistance of the concrete is particularly important. The western regions of China, especially the Qinghai-Tibet plateau regions, have severe environment, large day and night temperature difference, high coldness, high wind and long sunshine time, and have great durability damage effect on concrete. The concrete may be damaged after being exposed to the environment for a long time, thereby bringing hidden danger to the safety performance of buildings, roads and bridge facilities. At present, methods for evaluating the frost resistance of concrete materials in the field of civil engineering are numerous, mainly a quick freezing method and a slow freezing method (GB/T50082 + 2009 Standard of test methods for Long-term Performance and durability of ordinary concrete, Chapter IV Frost test), the two methods consider the influence of the number of freeze-thaw cycles on the frost resistance of the concrete, but cannot accurately reflect the frost resistance level in the actual environment of the concrete, so that the calculation and consideration in the actual engineering environment are difficult, the evaluation result error is large, and the potential safety hazard of building facilities is increased.
Disclosure of Invention
Therefore, the invention provides a concrete frost resistance evaluation method, which is used for solving the problems that the concrete frost resistance evaluation method in the prior art is single and the potential safety hazard of building facilities is increased due to poor pertinence.
In order to achieve the aim, the invention provides a method for evaluating the frost resistance of concrete, which comprises the following steps:
s1, putting the first part of the sample to be detected into a freeze-thaw chamber for pre-freeze thawing, determining the elastic modulus of the sample, and calculating the scoring parameters of the generated cracks and the fallen muck according to the elastic modulus;
s2, putting three samples, namely one sample is put into a freezing and thawing chamber, and the other sample is put into a freezing and lighting chamber, and carrying out corresponding tests on the samples so as to grade cracks generated in different environments and dropped dregs of the samples;
s3, calculating the comprehensive score of the sample, and evaluating the freezing resistance of the sample;
a central control module is arranged in the process of implementing the concrete frost resistance evaluation method and is used for controlling the evaluation process and analyzing the evaluation result.
Further, a sample with the volume of C and the mass of E under the environment of 20 ℃ is placed into a freezing and thawing chamber for pre-freezing and thawing, a first camera device for detecting the deformation amount of the sample is arranged at the upper part of the freezing and thawing chamber, a freezing and thawing mode is started, and when the freezing and thawing chamber reaches the lowest temperature W1 for the first time and the freezing time is T1, the camera device detects the volume of the sample D1; when the freezing and thawing chamber reaches the highest temperature W2 for the first time and the thawing time length T2 elapses, the camera device detects the sample volume Y1; when the freezing-thawing chamber reaches the lowest temperature W1 for the second time and the freezing time period T1 elapses, the camera device detects the sample volume D2; when the freezing and thawing chamber reaches the highest temperature W2 for the second time and the thawing duration T2 elapses, the camera device detects the sample volume Y2; when the freezing and thawing chamber reaches the lowest temperature W1 for the third time and the freezing time period T1 elapses, the camera device detects the sample volume D3; when the freezing and thawing chamber reaches the highest temperature W2 for the third time and the thawing duration T2 elapses, the camera device detects the sample volume Y3; the central control module calculates the volume change elastic modulus X of the sample:
alpha is an elastic modulus compensation parameter.
Further, calculating a concrete crack length scoring parameter L, a concrete crack width scoring parameter S and a concrete slag falling amount scoring parameter V by the central control module according to the sample volume change elastic modulus X;
L＝X×l
S＝X×s
V＝X×v
wherein L is a compensation parameter of the elastic modulus X to the concrete crack length scoring parameter L, S is a compensation parameter of the elastic modulus X to the concrete crack width scoring parameter S, and V is a compensation parameter of the elastic modulus X to the concrete slag dropping amount scoring parameter V.
Further, three samples with the volume of C and the mass of E under the environment of 20 ℃ are put into a freezing and thawing chamber, one sample is put into a freezing and thawing chamber, and the other sample is put into a freezing and irradiating chamber; performing freeze-thaw cycle treatment on the samples in the freeze-thaw chamber, wherein in the process of the freeze-thaw cycle, the highest temperature of the freeze-thaw chamber is W2, the lowest temperature is W1, the number of the freeze-thaw cycles is N, and the time of a single freeze-thaw cycle is T3; freezing and blowing the sample in the freezing air chamber, wherein the freezing temperature in the freezing air chamber is W3, the blowing air speed is F, and the freezing air processing time is T4; and (3) freezing and ultraviolet irradiation treatment is carried out on the sample in the freezing and irradiating room, the freezing temperature in the freezing and irradiating room is W3, the ultraviolet irradiation intensity is G, and the freezing and irradiating time is T4.
Further, when the freeze-thaw cycle processing of the sample in the freeze-thaw chamber is completed, the first camera device detects the surface state of the sample, when a crack is generated on the surface of the sample, a crack is selected, the total length of the measured crack is a1, the widest position of the crack is B1, the first camera device transmits the measurement result to the central control module, and the central control module calculates the score of the crack, K1, where K1 is a1 × L + B1 × S; the central control module calculates the residual crack scores K2, K3 and … … Kn of the surface of the sample, and the central control module calculates the total crack score Kx of the surface of the sample, wherein the total crack score Kx is K1+ K2+ … + Kn.
Further, when a branch is generated on the concrete surface crack, the first camera device measures the longest path of the crack to be A1, one branch is selected and the distance from the tail end of the branch to the crack branch is A11, the first camera device transmits the detection result to the central control module, the central control module calculates the ratio a1 of the branch length to the total crack length,
scoring the branch according to a1 and A11 central control modules:
when a1 is less than or equal to 0.1, the central control module judges the branch as an invalid branch and does not score the branch;
when a1 is more than 0.1 and less than or equal to 0.3, the central control module calculates the branch length score k11, k11 is A11 × L × 0.5;
when a1 > 0.3, the central control module calculates the branch length score k11, k11 ═ a11 × L × 0.8.
Further, when a secondary branch is generated on the branch, the first camera device measures the distance from the tail end of the secondary branch to the branch division position to be A111, the first camera device transmits the detection result to the central control module, the central control module calculates the ratio a11 of the length of the secondary branch to the total length of the crack,
the secondary branch is scored according to a11 and a111 central module:
when a11 is less than or equal to 0.1, the central control module judges the secondary branch as an invalid branch and does not score the invalid branch;
when a11 is more than 0.1 and less than or equal to 0.3, the central control module calculates the secondary branch length score k111, and k11 is A111 multiplied by L multiplied by 0.3;
when a11 is greater than 0.3, the central control module calculates the branch length score k111, where k111 is a111 × L × 0.6;
the central control module branches to obtain residual secondary branch scores k112, k113, … … k11 n;
the central control module calculates a branch length score k11, k11 ═ k11 ═ a11 × L × i + k111+ k112+ … + k11n, i ═ 0.5 or 0.8;
the central control module calculates the residual branch scores k12, k13, … … k1n of the crack;
the central control module calculates the crack score K1, K1 ═ a1 × L + B1 × S + K11+ K12+ … + K1 n.
Furthermore, a first concrete slag falling collecting device is arranged below the freezing and thawing chamber and used for collecting falling slag, when the freezing and thawing cycle treatment of the samples in the freezing and thawing chamber is completed, the quality e of the slag in the collecting device is detected and the detection result is transmitted to the central control module, the central control module calculates the concrete slag falling amount score Qx,
the central control module calculates the total score Px of the samples in the freeze-thaw chamber,
wherein p1 is a weight parameter of the total crack score Kx to the total freeze-thaw chamber sample score Px, and p2 is a weight parameter of the concrete slag-shedding amount score Qx to the total freeze-thaw chamber sample score Px.
Further, the central control module calculates a total score Pz of the samples in the frozen wind chamber according to the algorithm, freezes the total score Py of the samples in the frozen wind chamber, and calculates a total score H of the frost resistance of the concrete to be detected according to Px, Pz and Py:
H＝Px×β+Pz×δ+Py×γ
wherein beta is a weight parameter of the total score Px of the freeze-thaw indoor sample to the total score H of freezing resistance, delta is a weight parameter of the total score Pz of the freeze-thaw indoor sample to the total score H of freezing resistance, and gamma is a weight parameter of the total score Py of the freeze-thaw indoor sample to the total score H of freezing resistance.
Furthermore, a freezing resistance total score matrix H0(H1, H2 and H3) is further arranged in the central control module, wherein H1 is a first preset freezing resistance total score, H2 is a second preset freezing resistance total score, H3 is a third preset freezing resistance total score, all the scores are sequentially increased, and the lower the score is, the stronger the freezing resistance is; the central control module compares the concrete frost resistance total score H with the internal parameters of a frost resistance total score matrix H0:
when H is less than or equal to H1, the central control module judges that the frost resistance of the concrete to be detected is first grade;
when H is more than H1 and less than or equal to H2, the central control module judges that the frost resistance of the concrete to be detected is of a second level;
when H is more than H1 and less than or equal to H2, the central control module judges that the frost resistance of the concrete to be detected is three-level;
and when H is more than H2, the central control module judges that the frost resistance of the concrete to be detected is four-grade.
Compared with the prior art, the concrete freezing and thawing chamber has the beneficial effects that the freezing and thawing chamber is arranged to simulate the use environment with large day and night temperature difference of the concrete; the freezing chamber is arranged for simulating the use environment of the concrete with severe cold and strong wind; set up and freeze and shine the room and be used for simulating concrete severe cold, the long service environment of sunshine duration, comprehensive simulation concrete service environment reduces concrete frost resistance performance evaluation result error, has increased the security performance of architectural facilities.
Further, before the concrete frost resistance is subjected to formal evaluation, a sample with the volume of C and the mass of E under the environment of 20 ℃ is placed into a freezing and thawing chamber for pre-freezing and thawing, a first camera device for detecting the deformation quantity of the sample is arranged at the upper part of the freezing and thawing chamber, a freezing and thawing mode is started, and when the freezing and thawing chamber reaches the lowest temperature W1 for the first time and is frozen for a time period T1, the camera device detects the volume of the sample D1; when the freezing and thawing chamber reaches the highest temperature W2 for the first time and the thawing time length T2 elapses, the camera device detects the sample volume Y1; when the freezing-thawing chamber reaches the lowest temperature W1 for the second time and the freezing time period T1 elapses, the camera device detects the sample volume D2; when the freezing and thawing chamber reaches the highest temperature W2 for the second time and the thawing duration T2 elapses, the camera device detects the sample volume Y2; when the freezing and thawing chamber reaches the lowest temperature W1 for the third time and the freezing time period T1 elapses, the camera device detects the sample volume D3; when the freezing and thawing chamber reaches the highest temperature W2 for the third time and the thawing duration T2 elapses, the camera device detects the sample volume Y3; the central control module calculates the volume change elastic modulus X of the sample; and calculating a concrete crack length scoring parameter L, a concrete crack width scoring parameter S and a concrete slag falling amount scoring parameter V by the central control module according to the sample volume change elastic modulus X. The grading parameters of the concrete are determined in a targeted manner, the evaluation result error of the frost resistance of the concrete is further reduced, and the safety performance of building facilities is improved.
Further, when a branch is generated on the concrete surface crack, the first camera device measures the longest path of the crack to be A1, one branch is selected and the distance from the tail end of the branch to the crack branch is A11, the first camera device transmits the detection result to the central control module, the central control module calculates the ratio a1 of the branch length to the total crack length,
scoring the branch according to a1 and A11 central control modules; when a secondary branch is generated on the branch, the first camera device measures the distance A111 from the tail end of the secondary branch to the branch division position, the first camera device transmits the detection result to the central control module, the central control module calculates the ratio a11 of the length of the secondary branch to the total length of the crack,
scoring the secondary branch according to a11 and A111 central control module; and a multi-level grading grade is set, so that the generated cracks are accurately graded, the error of the concrete frost resistance evaluation result is further reduced, and the safety performance of building facilities is improved.
Further, when the total score of a single sample in the freeze thawing chamber, the freezing wind chamber and the freezing photo chamber is evaluated, the evaluation weights of cracks and falling dregs are set; when the concrete frost resistance total score is evaluated, a weight parameter of the frost resistance total score of the sample in the freezing and thawing chamber, a weight parameter of the frost resistance total score of the sample in the freezing wind chamber and a weight parameter of the frost resistance total score of the sample in the freezing and photographing chamber are set; through setting up multistage weight parameter of grading, carry out accurate grade to concrete frost resistance, further reduce concrete frost resistance evaluation result error, increased the security performance of architectural facilities.
Drawings
FIG. 1 is a schematic structural diagram of equipment used in the method for evaluating the frost resistance of concrete according to the present invention;
FIG. 2 is a flow chart of the concrete frost resistance evaluation method of the invention.
Detailed Description
In order that the objects and advantages of the invention will be more clearly understood, the invention is further described below with reference to examples; it should be understood that the specific embodiments described herein are merely illustrative of the invention and are not intended to limit the invention.
Preferred embodiments of the present invention are described below with reference to the accompanying drawings. It should be understood by those skilled in the art that these embodiments are only for explaining the technical principle of the present invention, and do not limit the scope of the present invention.
It should be noted that in the description of the present invention, the terms of direction or positional relationship indicated by the terms "upper", "lower", "left", "right", "inner", "outer", etc. are based on the directions or positional relationships shown in the drawings, which are only for convenience of description, and do not indicate or imply that the device or element must have a specific orientation, be constructed in a specific orientation, and be operated, and thus, should not be construed as limiting the present invention.
Furthermore, it should be noted that, in the description of the present invention, unless otherwise explicitly specified or limited, the terms "mounted," "connected," and "connected" are to be construed broadly, and may be, for example, 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 by those skilled in the art according to specific situations.
FIG. 1 is a schematic structural diagram of equipment used in the method for evaluating frost resistance of concrete according to the present invention; when the concrete frost resistance evaluation method is used, a central control module 1, a freeze-thaw chamber 2, a freezing wind chamber 3 and a freezing and lighting chamber 4 are arranged; the freezing and thawing chamber 2 is used for simulating the use environment with large day and night temperature difference of concrete, the freezing chamber 3 is used for simulating the use environment with severe cold and high wind of the concrete, and the freezing and lighting chamber 4 is used for simulating the use environment with severe cold and long sunshine time of the concrete.
The freezing and thawing chamber 2 comprises a first camera device 21, a first refrigerator 22, a heater 23 and a first dreg falling and collecting device 24, wherein the first camera device 21 is positioned at the top of the freezing and thawing chamber 2 and connected with the central control module 1 for detecting the sample volume deformation amount during pre-freezing and thawing and the sample crack generation condition in the freezing and thawing chamber, and the first refrigerator 22 is positioned at one side of the freezing and thawing chamber 2 for freezing the sample in the freezing and thawing chamber; the heater 23 is located at the opposite side of the first freezer 22 in the freezing and thawing chamber 2 for thawing the frozen sample in the freezing and thawing chamber 2; the first slag falling collecting device 24 is located at the bottom of the freezing and thawing chamber 2 and connected with the central control module 1 and used for collecting the slag falling from the sample in the freezing and thawing chamber 2, and a quality sensor is arranged on the first slag falling collecting device 24 and can detect the quality of the falling slag and transmit the detection result to the central control module 1.
The freezing chamber 3 comprises a second camera device 31, a second refrigerator 32, a blower 33, a second slag falling collecting device 34 and an air outlet 35, wherein the second camera device 31 is positioned at the top of the freezing chamber 3 and connected with the central control module 1 for detecting the generation condition of a sample crack in the freezing chamber, and the second refrigerator 32 is positioned at one side of the freezing chamber 3 for freezing the sample in the freezing chamber; the blower 33 is positioned above the second freezer 32 in the freezing chamber 3 to blow the frozen sample in the freezing chamber 3; the second slag falling collecting device 34 is located at the bottom of the freezing air chamber 3 and connected with the central control module 1 and used for collecting slag falling from samples in the freezing air chamber 3, a quality sensor is arranged on the second slag falling collecting device 34 and can detect the quality of the falling slag and transmit a detection result to the central control module 1, and the air outlet 35 is located on the opposite side of the second refrigerator 32 in the freezing air chamber 3 and used for discharging blown cold air.
The freezing and lighting chamber 4 comprises a third camera device 41, a third refrigerator 42, a third slag-removing and collecting device 43 and an ultraviolet lamp 44, wherein the third camera device 41 is positioned at the top of the freezing and lighting chamber 4 and connected with the central control module 1 for detecting the generation condition of a sample crack in the freezing and lighting chamber; the third freezer 42 is positioned at one side of the freezing chamber 4 and is used for freezing the sample in the freezing wind chamber; the third slag falling collecting device 43 is positioned at the bottom of the freezing and photographing chamber 4 and connected with the central control module 1 and is used for collecting the slag falling from the sample in the freezing and photographing chamber 4, and a quality sensor is arranged on the third slag falling collecting device 43 and can detect the quality of the falling slag and transmit the detection result to the central control module 1; the ultraviolet lamp 44 is positioned at the top of the chamber 4 for ultraviolet irradiation of the sample in the chamber.
Referring to fig. 2, which is a flow chart of the method for evaluating frost resistance of concrete according to the present invention, the method for evaluating frost resistance of concrete according to the present invention includes:
s1, placing the first sample to be detected into the freeze-thaw chamber 2 for pre-freeze thawing, determining the elastic modulus of the sample, and calculating the scoring parameters of the generated cracks and the fallen muck according to the elastic modulus;
s2, three samples are placed into a freezing and thawing chamber 2, one sample is placed into a freezing and thawing chamber 3, the other sample is placed into a freezing and lighting chamber 4, and corresponding tests are performed on the samples so as to score cracks and dropped muck of the samples in different environments;
s3, calculating the comprehensive score of the sample, and evaluating the freezing resistance of the sample;
a central control module 1 is arranged in the process of implementing the concrete frost resistance evaluation method and is used for controlling the evaluation process and analyzing the evaluation result.
Specifically, a sample with the volume of C and the mass of E under the environment of 20 ℃ is placed into a freezing and thawing chamber 2 for pre-freezing and thawing, a first camera device 21 for detecting the deformation amount of the sample is arranged at the upper part of the freezing and thawing chamber 2, a freezing and thawing mode is started, and when the freezing and thawing chamber 2 reaches the lowest temperature W1 for the first time and the freezing time is T1, the camera device detects the volume of the sample D1; when the freezing and thawing chamber 2 reaches the highest temperature W2 for the first time and the thawing duration T2 elapses, the image pickup device detects the sample volume Y1; when the freezing and thawing chamber 2 reaches the lowest temperature W1 for the second time and the freezing time period T1 elapses, the image pickup device detects the sample volume D2; when the freezing and thawing chamber 2 reaches the highest temperature W2 for the second time and the thawing duration T2 elapses, the imaging device detects the sample volume Y2; when the freezing and thawing chamber 2 reaches the lowest temperature W1 for the third time and the freezing time period T1 elapses, the image pickup device detects the sample volume D3; when the freezing and thawing chamber 2 reaches the highest temperature W2 for the third time and the thawing duration T2 elapses, the image pickup device detects the sample volume Y3; the central control module 1 calculates the sample volume change elastic modulus X:
alpha is an elastic modulus compensation parameter.
Specifically, the central control module 1 calculates a concrete crack length scoring parameter L, a concrete crack width scoring parameter S and a concrete slag falling amount scoring parameter V according to the sample volume change elastic modulus X;
L＝X×l
S＝X×s
V＝X×v
wherein L is a compensation parameter of the elastic modulus X to the concrete crack length scoring parameter L, S is a compensation parameter of the elastic modulus X to the concrete crack width scoring parameter S, and V is a compensation parameter of the elastic modulus X to the concrete slag dropping amount scoring parameter V.
Specifically, three samples with the volume of C and the mass of E under the environment of 20 ℃ are put into a freezing and thawing chamber 2, one sample is put into a freezing and thawing chamber 3, and the other sample is put into a freezing and thawing chamber 4; performing freeze-thaw cycle processing on the samples in the freeze-thaw chamber 2, wherein in the process of the freeze-thaw cycle, the highest temperature of the freeze-thaw chamber 2 is W2, the lowest temperature is W1, the number of freeze-thaw cycles is N, and the time of a single freeze-thaw cycle is T3; freezing and blowing the sample in the freezing chamber 3, wherein the freezing temperature in the freezing chamber 3 is W3, the blowing air speed is F, and the freezing air processing time is T4; and (3) freezing and ultraviolet irradiation treatment are carried out on the sample in the freezing and irradiating room 4, the freezing temperature in the freezing and irradiating room 3 is W3, the ultraviolet irradiation intensity is G, and the freezing and air treatment time is T4.
Specifically, when the freeze-thaw cycle processing of the sample in the freeze-thaw chamber 2 is completed, the first camera device 21 detects the surface state of the sample, when a crack is generated on the surface of the sample, a crack is selected, the total length of the measured crack is a1, the widest position of the crack is B1, the first camera device 21 transmits the measurement result to the central control module 1, the central control module 1 calculates the crack score K1, and K1 is a1 × L + B1 × S; the central control module 1 calculates the residual crack scores K2, K3 and … … Kn of the sample surface, and the central control module 1 calculates the total crack score Kx of the sample surface, wherein Kx is K1+ K2+ … + Kn.
In particular, when said mixing is carried outWhen a branch is generated on the crack of the surface of the concrete, the first camera device 21 measures the longest path of the crack to be A1, one branch is selected and the distance from the tail end of the branch to the branch of the crack is measured to be A11, the first camera device 21 transmits the detection result to the central control module 1, the central control module 1 calculates the ratio a1 of the branch length to the total crack length,
the branch was scored according to a1 and a11 central module 1:
when a1 is less than or equal to 0.1, the central control module 1 judges the branch as an invalid branch and does not score the branch;
when a1 is more than 0.1 and less than or equal to 0.3, the central control module 1 calculates the branch length score k11, and k11 is A11 × L × 0.5;
when a1 > 0.3, the central module 1 calculates the branch length score k11, k11 ═ a11 × L × 0.8.
Specifically, when a secondary branch is generated on the branch, the first camera device 21 measures the distance from the tail end of the secondary branch to the branch division position as A111, the first camera device 21 transmits the detection result to the central control module 1, the central control module 1 calculates the ratio a11 of the length of the secondary branch to the total length of the crack,
the secondary branch is scored according to a11 and a111 central control module 1:
when a11 is less than or equal to 0.1, the central control module 1 judges the secondary branch as an invalid branch and does not score the invalid branch;
when a11 is more than 0.1 and less than or equal to 0.3, the central control module 1 calculates the secondary branch length score k111, and k11 is A111 × L × 0.3;
when a11 is greater than 0.3, the central control module 1 calculates the branch length score k111, where k111 is a111 × L × 0.6;
the central control module 1 has the branch residual secondary branch scores k112, k113, … … k11 n;
the central control module 1 calculates a branch length score k11, k11 ═ k11 ═ a11 × L × i + k111+ k112+ … + k11n, and i ═ 0.5 or 0.8;
the central control module 1 calculates the residual branch scores k12, k13, … … k1n of the crack;
the central module 1 calculates the crack score K1, K1 ═ a1 × L + B1 × S + K11+ K12+ … + K1 n.
Specifically, a first concrete slag falling collecting device 24 is arranged below the freezing and thawing chamber 2 and used for collecting falling slag, when the freezing and thawing cycle treatment of the samples in the freezing and thawing chamber 2 is completed, the quality e of the slag in the collecting device 24 is detected and the detection result is transmitted to the central control module 1, the central control module 1 calculates the concrete slag falling amount score Qx,
the central control module 1 calculates the total score Px of the sample in the freezing and thawing chamber 2,
wherein p1 is a weight parameter of the total crack score Kx to the total freeze-thaw chamber 2 sample score Px, and p2 is a weight parameter of the concrete slag-shedding amount score Qx to the total freeze-thaw chamber 2 sample score Px.
Specifically, according to the algorithm, the central control module 1 calculates the total score Pz of the samples in the freezing chamber 3 and the total score Py of the samples in the freezing chamber 4, and the central control module 1 calculates the total score H of the frost resistance of the concrete to be detected according to Px, Pz and Py:
H＝Px×β+Pz×δ+Py×γ
wherein beta is a weight parameter of the total score Px of the sample in the freezing and thawing chamber 2 to the total score H of freezing resistance, delta is a weight parameter of the total score Pz of the sample in the freezing and thawing chamber 3 to the total score H of freezing resistance, and gamma is a weight parameter of the total score Py of the sample in the freezing and thawing chamber 4 to the total score H of freezing resistance.
Specifically, a freezing resistance total score matrix H0(H1, H2 and H3) is further arranged in the central control module 1, wherein H1 is a first preset freezing resistance total score, H2 is a second preset freezing resistance total score, H3 is a third preset freezing resistance total score, all the scores are sequentially increased, and the lower the score is, the stronger the freezing resistance is; the central control module 1 compares the concrete frost resistance total score H with the internal parameters of a frost resistance total score matrix H0:
when H is less than or equal to H1, the central control module 1 judges that the frost resistance of the concrete to be detected is first grade;
when H is more than H1 and less than or equal to H2, the central control module 1 judges that the frost resistance of the concrete to be detected is of a second level;
when H is more than H1 and less than or equal to H2, the central control module 1 judges that the frost resistance of the concrete to be detected is three-level;
and when H is more than H2, the central control module 1 judges that the frost resistance of the concrete to be detected is four levels.
So far, the technical solutions of the present invention have been described in connection with the preferred embodiments shown in the drawings, but it is easily understood by those skilled in the art that the scope of the present invention is obviously not limited to these specific embodiments. Equivalent changes or substitutions of related technical features can be made by those skilled in the art without departing from the principle of the invention, and the technical scheme after the changes or substitutions can fall into the protection scope of the invention.
Claims (9)
1. A method for evaluating the frost resistance of concrete is characterized by comprising the following steps:
s1, putting the first part of the sample to be detected into a freeze-thaw bin for pre-freeze thawing, determining the elastic modulus of the sample, and calculating the scoring parameters of the generated cracks and the fallen muck according to the elastic modulus;
s2, putting three samples, namely one sample is put into a freezing and thawing chamber, and the other sample is put into a freezing and lighting chamber, and carrying out corresponding tests on the samples so as to grade cracks generated in different environments and dropped dregs of the samples;
s3, calculating the comprehensive score of the sample, and evaluating the freezing resistance of the sample;
a central control module is arranged in the process of implementing the concrete frost resistance evaluation method and is used for controlling the evaluation process and analyzing the evaluation result;
in the step S1, performing freeze thawing on a sample to be detected for multiple times, and taking an average value to calculate the elastic modulus of the sample so as to ensure the accuracy of a calculation result; calculating a concrete crack length scoring parameter, a concrete crack width scoring parameter and a concrete slag falling amount scoring parameter in the evaluation process according to the elastic modulus;
in the S2, the freezing and thawing chamber is used for simulating a use environment with a large concrete day-night temperature difference; the freezing chamber is used for simulating the use environment of the concrete with severe cold and gusty wind; the freezing and lighting room is used for simulating the use environment of high cold and long sunshine time of concrete; when the samples to be detected finish corresponding environment simulation, detecting the surface state of the samples in each simulation environment, when cracks are generated on the surfaces of the samples, scoring the generated cracks, when the samples drop dregs, scoring the concrete dregs dropping amount, and calculating the total score of the detection samples in the corresponding simulation environment according to the total score of the surface cracks and the concrete dregs dropping amount score;
in the S3, a weight parameter of the total score of the samples in the freezing and thawing chamber to the total score of the freezing resistance are arranged in the central control module, and the freezing resistance of the concrete is accurately scored by setting the weight scoring parameters; the central control module is also provided with an antifreeze total score matrix H0, and the central control module compares the antifreeze total score with internal parameters of the matrix H0 to determine the grade of the antifreeze performance of the sample to be detected.
2. The method for evaluating the frost resistance of the concrete according to claim 1, wherein a sample with the volume of C and the mass of E under the environment of 20 ℃ is placed into a freezing and thawing chamber for pre-freezing and thawing, a first camera device for detecting the deformation quantity of the sample is arranged at the upper part of the freezing and thawing chamber, a freezing and thawing mode is started, and when the freezing and thawing chamber reaches the lowest temperature W1 for the first time and is frozen for a time period T1, the camera device detects the volume of the sample D1; when the freezing and thawing chamber reaches the highest temperature W2 for the first time and the thawing time length T2 elapses, the camera device detects the sample volume Y1; when the freezing-thawing chamber reaches the lowest temperature W1 for the second time and the freezing time period T1 elapses, the camera device detects the sample volume D2; when the freezing and thawing chamber reaches the highest temperature W2 for the second time and the thawing duration T2 elapses, the camera device detects the sample volume Y2; when the freezing and thawing chamber reaches the lowest temperature W1 for the third time and the freezing time period T1 elapses, the camera device detects the sample volume D3; when the freezing and thawing chamber reaches the highest temperature W2 for the third time and the thawing duration T2 elapses, the camera device detects the sample volume Y3; the central control module calculates the volume change elastic modulus X of the sample:
alpha is an elastic modulus compensation parameter.
3. The method for evaluating the frost resistance of concrete according to claim 2, wherein a concrete crack length scoring parameter L, a concrete crack width scoring parameter S and a concrete slag falling amount scoring parameter V are calculated according to a sample volume change elastic modulus X by the central control module;
L＝X×l
S＝X×s
V＝X×v
wherein L is a compensation parameter of the elastic modulus X to the concrete crack length scoring parameter L, S is a compensation parameter of the elastic modulus X to the concrete crack width scoring parameter S, and V is a compensation parameter of the elastic modulus X to the concrete slag dropping amount scoring parameter V.
4. The method for evaluating the frost resistance of concrete according to claim 3, wherein three samples with the volume of C and the mass of E under the environment of 20 ℃ are put into a freezing and thawing chamber, one sample is put into a freezing and thawing chamber, and the other sample is put into a freezing and lighting chamber; performing freeze-thaw cycle treatment on the samples in the freeze-thaw chamber, wherein in the process of the freeze-thaw cycle, the highest temperature of the freeze-thaw chamber is W2, the lowest temperature is W1, the number of the freeze-thaw cycles is N, and the time of a single freeze-thaw cycle is T3; freezing and blowing the sample in the freezing air chamber, wherein the freezing temperature in the freezing air chamber is W3, the blowing air speed is F, and the freezing air processing time is T4; and (3) freezing and ultraviolet irradiation treatment is carried out on the sample in the freezing and irradiating room, the freezing temperature in the freezing and irradiating room is W3, the ultraviolet irradiation intensity is G, and the freezing and irradiating time is T4.
5. The method for evaluating the frost resistance of the concrete according to claim 4, wherein when the sample in the freezing and thawing chamber is subjected to freezing and thawing cycle treatment, the first camera device detects the surface state of the sample, when cracks occur on the surface of the sample, one crack is selected, the total length of the measured crack is A1, the widest part of the crack is B1, the first camera device transmits the measurement result to the central control module, and the central control module calculates the crack score K1, wherein the K1 is A1 xL + B1 xS; the central control module calculates the residual crack scores K2, K3 and … … Kn of the surface of the sample, and the central control module calculates the total crack score Kx of the surface of the sample, wherein the total crack score Kx is K1+ K2+ … + Kn.
6. The method for evaluating the frost resistance of concrete according to claim 5, wherein a concrete slag-falling collecting device is arranged below the freezing and thawing chamber for collecting falling slag, when the freezing and thawing cycle treatment of the sample in the freezing and thawing chamber is completed, the quality e of the slag in the collecting device is detected and the detection result is transmitted to the central control module, the central control module calculates the concrete slag-falling score Qx,
the central control module calculates the total score Px of the samples in the freeze-thaw chamber:
wherein p1 is a weight parameter of the total crack score Kx to the total freeze-thaw chamber sample score Px, and p2 is a weight parameter of the concrete slag-shedding amount score Qx to the total freeze-thaw chamber sample score Px.
7. The method of claim 5, wherein when a crack occurs on the concrete surface and branches are formed, the first camera device measures the longest path of the crack as A1, one of the branches is selected and the end of the branch is measured to the crackThe distance of the split is A11, the first camera device transmits the detection result to the central control module, the central control module calculates the ratio a1 of the branch length to the total crack length,
scoring the branch according to a1 and A11 central control modules:
when a1 is less than or equal to 0.1, the central control module judges the branch as an invalid branch and does not score the branch;
when a1 is more than 0.1 and less than or equal to 0.3, the central control module calculates the branch length score k11, k11 is A11 × L × 0.5;
when a1 is greater than 0.3, the central control module calculates the branch length score k11, k11 ═ a11 × L × 0.8;
when a secondary branch is generated on the branch, the first camera device measures the distance A111 from the tail end of the secondary branch to the branch division position, the first camera device transmits the detection result to the central control module, the central control module calculates the ratio a11 of the length of the secondary branch to the total length of the crack,
the secondary branch is scored according to a11 and a111 central module:
when a11 is less than or equal to 0.1, the central control module judges the secondary branch as an invalid branch and does not score the invalid branch;
when a11 is more than 0.1 and less than or equal to 0.3, the central control module calculates the secondary branch length score k111, and k11 is A111 multiplied by L multiplied by 0.3;
when a11 is greater than 0.3, the central control module calculates the branch length score k111, where k111 is a111 × L × 0.6;
the central control module branches to obtain residual secondary branch scores k112, k113, … … k11 n;
the central control module calculates a branch length score k11, k11 ═ k11 ═ a11 × L × i + k111+ k112+ … + k11n, i ═ 0.5 or 0.8;
the central control module calculates the residual branch scores k12, k13, … … k1n of the crack;
the central control module calculates the crack score K1, K1 ═ a1 × L + B1 × S + K11+ K12+ … + K1 n.
8. The method for evaluating the frost resistance of the concrete according to claim 6, wherein the central control module calculates the total score Pz of the samples in the frozen wind chamber and the total score Py of the samples in the frozen wind chamber according to the algorithm, and the central control module calculates the total score H of the frost resistance of the concrete to be detected according to Px, Pz and Py:
H＝Px×β+Pz×δ+Py×γ
wherein beta is a weight parameter of the total score Px of the freeze-thaw indoor sample to the total score H of freezing resistance, delta is a weight parameter of the total score Pz of the freeze-thaw indoor sample to the total score H of freezing resistance, and gamma is a weight parameter of the total score Py of the freeze-thaw indoor sample to the total score H of freezing resistance.
9. The method for evaluating the frost resistance of concrete according to claim 8, wherein a total freezing resistance score matrix H0(H1, H2, H3) is further provided in the central control module, wherein H1 is a first preset total freezing resistance score, H2 is a second preset total freezing resistance score, and H3 is a third preset total freezing resistance score, and the scores are sequentially increased, and the lower the score is, the stronger the frost resistance is; the central control module compares the concrete frost resistance total score H with the internal parameters of a frost resistance total score matrix H0:
when H is less than or equal to H1, the central control module judges that the frost resistance of the concrete to be detected is first grade;
when H is more than H1 and less than or equal to H2, the central control module judges that the frost resistance of the concrete to be detected is of a second level;
when H is more than H1 and less than or equal to H2, the central control module judges that the frost resistance of the concrete to be detected is three-level;
and when H is more than H2, the central control module judges that the frost resistance of the concrete to be detected is four-grade.
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