CN113192032A - Prediction and evaluation method for whiskering uniformity of glass fiber reinforced cement product based on microbial whiskering resistance - Google Patents
Prediction and evaluation method for whiskering uniformity of glass fiber reinforced cement product based on microbial whiskering resistance Download PDFInfo
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Abstract
The invention discloses a whiskering uniformity prediction evaluation method based on a microbial whiskering-resistant glass fiber reinforced cement product, which comprises the steps of carrying out accelerated whiskering treatment on a test piece, then adopting an image method and matching with a Laur color card to reference the color of a whiskering substance, and obtaining the whiskering area rate and whiskering uniformity of the surface of the test piece after the accelerated whiskering treatment, thereby obtaining the quantitative evaluation index of the whiskering-resistant performance of the glass fiber reinforced cement product. The method can realize the quantitative evaluation of the glass fiber reinforced cement product added with the microbial anti-efflorescence agent, has short evaluation period and high precision, and can accurately predict the efflorescence uniformity of the cement product.
Description
Technical Field
The invention relates to the field of building materials, in particular to a prediction and evaluation method for whiskering resistance of a cement product.
Background
The glass fiber reinforced cement product is one of the most influential and widely applied products in Chinese decorative cement-based materials, has light self weight, simple installation and high strength, can be prefabricated in a factory in a large amount, shortens the construction period, is also suitable for modern buildings and indoor decoration, and is greatly different from other decorative cement-based materials in that alkali-resistant glass fiber is added into a structural layer of the glass fiber reinforced cement product to serve as a reinforcing material, so that the glass fiber reinforced cement product has better mechanical property, and the decorative aesthetic property of the glass fiber reinforced cement product is mainly provided by a surface layer.
The problem of whiskering is a key problem restricting the use of decorative cement-based materials including glass fiber reinforced cement products, and the whiskering phenomenon is caused by the formation of white deposits on the surface of the cement-based materials by soluble salts brought out by the water migration inside the cement-based materials and the evaporation of surface water, and can seriously affect the decorative effect of the facing mortar.
Disclosure of Invention
The purpose of the invention is as follows: the invention aims to provide a method for predicting and evaluating the whiskering uniformity of a glass fiber reinforced cement product based on microbial whiskering resistance, which can accurately predict the whiskering uniformity of the cement product and can realize quantitative evaluation of the glass fiber reinforced cement product added with the microbial whiskering resistance, and has short evaluation period and high precision.
The technical scheme is as follows: the invention relates to a whiskering uniformity prediction evaluation method based on a microbial whiskering-resistant glass fiber reinforced cement product, which comprises the steps of carrying out accelerated whiskering treatment on a test piece, then adopting an image method and matching with a Laur color card to reference the color of a whiskering substance, and obtaining the whiskering area rate and whiskering uniformity of the surface of the test piece after the accelerated whiskering treatment, thereby obtaining the quantitative evaluation index of the whiskering-resistant performance of the glass fiber reinforced cement product.
The method specifically comprises the following steps:
(1) carrying out accelerated efflorescence treatment on the glass fiber reinforced cement product doped with the microbial anti-efflorescence agent;
(2) acquiring an image of the test piece subjected to the accelerated whiskering treatment to obtain a surface image of the test piece, performing binarization treatment on the surface image of the test piece to obtain a black-white image, and calculating the whiskering area rate of the test piece;
(3) and dividing the black and white images according to different visual directions, and calculating and dividing to obtain the whiskering area rate of each region to obtain the whiskering uniformity of the test piece.
Further, the tendency of the anti-whiskering performance of the GRC test piece of the microbial anti-whiskering agent under different doping amounts is predicted according to the whiskering area rate and whiskering uniformity of the surface layer and the base layer.
Preferably, the area ratio of whiskering and the whiskering uniformity of the glass fiber reinforced cement article are as follows:
when the microbial anti-efflorescence agent is blended, the efflorescence area ratio and efflorescence uniformity are as follows:
in the formula, EaTo the area ratio of efflorescence, EuFor whiskering uniformity, f and m are the percentages of fiber and microorganism in the mass of the cementitious material, respectively.
In the step (1), the preparation method of the microbial saltpetering-resistant glass fiber reinforced cement product comprises the following steps: firstly, pouring a glass fiber reinforced cement product surface layer on a template, and adding a microbial anti-flooding alkali agent into the surface layer; and then before the surface layer is initially set, pouring a base layer on the surface layer foundation, and adding alkali-resistant glass fiber into the base layer.
In the step (1), the accelerated whiskering treatment is to place the molded and demoulded glass fiber reinforced cement test piece in a water tank, add water to more than half of the height of the test piece and ensure that the upper surface of the test piece to be tested is in a wet state, apply constant wind speed to the surface, place for 24-48 h, and supplement water to the water tank to ensure that the water surface is more than half of the height of the test piece. The main effective component of the microbial anti-efflorescence agent is microbial powder, and the applied constant air speed is 2m/s, so that the test period is shortened, and the anti-efflorescence performance of the glass fiber reinforced cement product is better tested.
The length of surface course and basic unit is 200 ~ 400mm, and the width is 200 ~ 400mm, and the height is 10 ~ 20 mm.
Preferably, in order to secure Ca in the test piece2+ in migration to the cement substrateThe surface layer is fixed before, CaCO is generated in the cement-based material but not on the surface3(ii) a The time interval between the surface layer and the base layer is not more than 10min, the molded test piece is placed in a standard curing room with the temperature of 20 +/-2 ℃, and the relative humidity of the curing room is more than 95 percent.
The step (2) comprises the following steps:
(1) under the condition of a constant light source, acquiring a Laur color chart with the color number of RAL9010 and a GRC test piece surface image subjected to accelerated whiskering treatment on the same screen, and converting the image into a black-and-white image with only gray level change;
(2) reading the gray value of the RAL9010 color card and recording the gray value as G, and counting the area A of the area with the gray value smaller than G in the binary image on the surface of the GRC productEAnd the total area A of the binaryzation image on the surface of the GRC product to be detected0；
(3) Calculating the efflorescence area ratio Ea
In the formula, EaIs the area ratio of saltpetering, AEFor the area of the area with the gray value less than G in the binary image of the surface to be measured, A0And (4) binarizing the total area of the image on the surface to be measured.
The method is characterized in that an image method is adopted for detecting the saltpetering area rate, a camera with four million pixels is used for image acquisition, a Lauer color chart is used as a reference for the color of a saltpetering substance, and the saltpetering resistance of the glass fiber reinforced cement product is obtained visually.
The step (3) comprises dividing the collected GRC surface image into different regions, and respectively calculating the saltpetering area ratio E of each regionaiDegree of whiskering uniformity EuThe calculation was performed using the following formula:
in the formula, EuFor whiskering uniformity, EaiThe ratio of the area of saltpetering in the i-th region,
the average of the alkali-efflorescence area ratios of the respective regions was obtained.
In the step (3), image division is carried out in five visual directions, and image division lines respectively extend along the vertical direction, the horizontal direction, the 45-degree direction, the 135-degree direction and the central divergence direction.
The invention principle is as follows: the invention uses a surface layer and a base layer to respectively prepare a microorganism anti-whiskering glass fiber reinforced cement product, wherein the surface layer is added with a microorganism anti-whiskering agent, the base layer is added with alkali-resistant glass fiber, before the anti-whiskering performance test, the test piece is firstly carried out the accelerated whiskering treatment to shorten the test period, then the image method is adopted and the Lauer color card is matched to reference the whiskering substance color, then the dispersion degree of the whiskering area rate of different unit areas on the surface of the glass fiber reinforced cement in five visual directions is carried out, after the accelerated whiskering treatment, the whiskering area rate of the test piece is obtained, the test piece is divided from different visual angles and respectively calculated, and the standard deviation is solved to obtain the whiskering uniformity.
The technical difficulties of the invention are as follows: the microbial anti-saltpetering agent and the alkali-resistant glass fiber are introduced into the microbial anti-saltpetering glass fiber reinforced cement product, and compared with the common cement-based material, the internal microstructure and the transmission mechanism are extremely complex. Due to the influence of the two on the pore structures such as the internal porosity and the pore size distribution of the product, the saltpetering resistance of the microbial saltpetering-resistant glass fiber reinforced cement product is difficult to quantitatively evaluate and predict, the saltpetering test period is long and unstable, and the difficulty in the representation test of the saltpetering resistance of the product is increased.
Has the advantages that:
the invention provides a brand-new whiskering resistance test method, quantitative evaluation index and prediction model by combining theoretical simulation and experimental verification, fills the technical blank in the field, and realizes quantitative evaluation and accurate prediction of the microbial whiskering resistance glass fiber reinforced cement product.
The whiskering uniformity of the glass fiber reinforced cement product adopts the discrete degree of whiskering area rates of different unit areas on the surface of the glass fiber reinforced cement in different visual directions to comprehensively analyze whiskering uniformity test images, thereby greatly improving the accuracy.
Drawings
FIG. 1 is a schematic flow diagram of the present invention.
FIG. 2 is a same screen image of the sample and the color chip collected in the invention.
FIG. 3 is a visual direction division diagram of a test image of the degree of uniformity of whiskering according to the present invention, wherein (a) is the vertical direction, (b) is the horizontal direction, (c) is the 45-degree direction, (d) is the 135-degree direction, and (e) is the central divergence direction;
FIG. 4 is a test chart of the saltpetering area ratio of the mortar surface layer (group M) of the glass fiber reinforced cement product of the present invention, (a) is a gray scale chart of M0, (b) is a chart after the binarization treatment of M0, (c) is a gray scale chart of M2, (d) is a chart after the binarization treatment of M2, (e) is a gray scale chart of M4, (f) is a chart after the binarization treatment of M4, (g) is a gray scale chart of M6, and (h) is a chart after the binarization treatment of M6;
FIG. 5 is a graph showing the saltpetering resistance of a mortar surface layer (group M) of a glass fiber reinforced cement product according to the present invention;
FIG. 6 is a test chart of the saltpetering area ratio of the mortar surface layer (group J) of the glass fiber reinforced cement product of the present invention, wherein (a) is a J0 gray scale image, (b) is a graph after the binarization treatment of J0, (c) is a J1 gray scale image, (d) is a graph after the binarization treatment of J1, (e) is a J3 gray scale image, (f) is a graph after the binarization treatment of J3, (g) is a J5 gray scale image, and (h) is a graph after the binarization treatment of J5;
FIG. 7 is a graph of the saltpetering resistance of a mortar finish (group J) of a glass fiber reinforced cementitious product of the present invention;
FIG. 8 shows the graphs after the binarization processing of M0J0 and M2J0 according to the present invention, (a) shows the graphs after the binarization processing of M0J0, (b) shows the graphs after the binarization processing of M0J0, (c) shows the graphs after the binarization processing of M2J0, and (d) shows the graphs after the binarization processing of M2J 0;
FIG. 9 shows the graphs after the binarization processing of M4J0 and M6J0 according to the present invention, (a) shows the graphs after the binarization processing of M4J0, (b) shows the graphs after the binarization processing of M4J0, (c) shows the graphs after the binarization processing of M6J0, and (d) shows the graphs after the binarization processing of M6J 0;
FIG. 10 shows the graphs after the binarization processing of M0J1 and M2J1 according to the present invention, (a) shows the graphs after the binarization processing of M0J1, (b) shows the graphs after the binarization processing of M0J1, (c) shows the graphs after the binarization processing of M2J1, and (d) shows the graphs after the binarization processing of M2J 1;
FIG. 11 shows the graphs after the binarization processing of M4J1 and M6J1 according to the present invention, (a) shows the graphs after the binarization processing of M4J1, (b) shows the graphs after the binarization processing of M4J1, (c) shows the graphs after the binarization processing of M6J1, and (d) shows the graphs after the binarization processing of M6J 1;
FIG. 12 shows the graphs after the binarization processing of M0J3 and M2J3 according to the present invention, (a) shows the graphs after the binarization processing of M0J3, (b) shows the graphs after the binarization processing of M0J3, (c) shows the graphs after the binarization processing of M2J3, and (d) shows the graphs after the binarization processing of M2J 3;
FIG. 13 shows the graphs after the binarization processing of M4J3 and M6J3 according to the present invention, (a) shows the graphs after the binarization processing of M4J3, (b) shows the graphs after the binarization processing of M4J3, (c) shows the graphs after the binarization processing of M6J3, and (d) shows the graphs after the binarization processing of M6J 3;
FIG. 14 shows the graphs after the binarization processing of M0J5 and M2J5 according to the present invention, (a) shows the graphs after the binarization processing of M0J5, (b) shows the graphs after the binarization processing of M0J5, (c) shows the graphs after the binarization processing of M2J5, and (d) shows the graphs after the binarization processing of M2J 5;
FIG. 15 shows the graphs after the binarization processing of M4J5 and M6J5 according to the present invention, (a) shows the graphs after the binarization processing of M4J5, (b) shows the graphs after the binarization processing of M4J5, (c) shows the graphs after the binarization processing of M6J5, and (d) shows the graphs after the binarization processing of M6J 5;
FIG. 16 is a graph showing the overall saltpetering area of a glass fiber cement article in accordance with the present invention;
FIG. 17 is a sectional view showing examples of the calculation regions for the degree of whiskering according to the present invention, (a) (b) are the 1 st and 2 nd parts divided in the vertical direction, (c) (d) are the 3 rd and 4 th parts divided in the horizontal direction, (e) (f) are the 5 th and 6 th parts divided in the 45 ° direction, (g) (h) are the 7 th and 8 th parts divided in the 135 ° direction, (i) are the 10 th parts divided in the central divergent direction;
FIG. 18 is a graph showing the calculation results of the degree of whiskering uniformity of the present invention.
Detailed Description
The present invention will be described in further detail with reference to examples.
As shown in fig. 1, which is a flow chart of the principle of the invention, a test piece is subjected to accelerated whiskering treatment, then an image method is adopted and a Laur color chart is matched to reference the color of a whiskering substance, and after the accelerated whiskering treatment, the whiskering area rate and whiskering uniformity of the surface of the test piece are obtained, so that a quantitative evaluation index of the whiskering resistance of a glass fiber reinforced cement product is obtained; and predicting the tendency of the anti-whiskering performance of the GRC test piece of the microbial anti-whiskering agent under different mixing amounts according to the whiskering area rate and whiskering uniformity of the surface layer and the base layer.
Wherein, the whiskering area ratio and whiskering uniformity of the glass fiber reinforced cement product are as follows:
when the microbial anti-efflorescence agent is blended, the efflorescence area ratio and efflorescence uniformity are as follows:
in the formula, EaTo the area ratio of efflorescence, EuFor whiskering uniformity, f and m are the percentages of fiber and microorganism in the mass of the cementitious material, respectively.
The method comprises the following specific steps:
(1) firstly, forming a glass fiber reinforced cement surface layer in a mold with a smooth surface, namely mixing P.W.42.5-grade white cement, medium sand, a coloring agent and a microorganism anti-efflorescence agent, mixing water with a water reducing agent, then mixing with powder, and pouring on the mold; then before the surface layer is initially set, forming a glass fiber reinforced cement base layer on the basis of the surface layer, namely mixing P.W.42.5-grade white cement, medium sand and a coloring agent, mixing water with a water reducing agent, then mixing with powder, adding alkali-resistant glass fiber in the mixing process, and pouring the alkali-resistant glass fiber on the surface layer;
the microbial anti-saltpetering agent added in the embodiment mainly comprises bacillus mucilaginosus, and the fiber is short alkali-resistant glass fiber yarn, the length of the fiber is about 2cm, and the diameter of the fiber is about 0.2-0.3 mm.
(2) Placing the test piece after the mold removal in a water tank, adding water until the height of the test piece is more than half of the height of the test piece and the upper surface to be tested of the test piece is in a wet state, applying constant wind speed to the surface, placing for 24h, and taking out for testing the saltpetering resistance;
(3) under the condition of a constant light source, acquiring a Lauer color chart (pure white) with the color number of RAL9010 and a GRC test piece surface Image subjected to accelerated whiskering treatment on the same screen, introducing the Image into a computer, converting the Image into a black-and-white Image only with gray scale change by using Image-J software, reading the gray scale value of the RAL9010 color chart and recording the gray scale value as G, and then counting the area A of the region with the gray scale value of the GRC product surface smaller than GEAnd the total area A of the surface of the GRC product to be measured0The saltpetering area ratio is calculated according to the following formula:
in the formula: ea-saltpetering area fraction; a. theEThe area of the region with the gray value smaller than G in the binarized image of the surface to be detected; a. the0-total area of the binarized image of the surface to be measured;
(4) dividing the collected GRC surface map into different regions, and respectively calculating the whiskering area ratio Eai of each region, wherein the whiskering uniformity is calculated by the following formula:
in the formula: eu-whiskering uniformity; eai-the saltpetering area fraction of the i region;
-each ofAverage value of regional saltpetering area ratio;
(5) designing the mix proportion of the surface layer of the glass fiber reinforced cement product to comprise M0, M2, M4 and M6, and designing the mix proportion of the base layer of the glass fiber reinforced cement product to comprise J0, J1, J3 and J5;
TABLE 1 surface layer mixing ratio of glass fiber reinforced cement products
TABLE 2 base layer mixing ratio of glass fiber reinforced cement product
| J0 | J1 | J3 | J5 | |
| Varieties of cement | White colour | White colour | White colour | White colour |
| Cement/kg | 2.4 | 2.4 | 2.4 | 2.4 |
| Rubber to sand ratio | 1:1 | 1:1 | 1:1 | 1:1 |
| Water to glue ratio | 0.35 | 0.35 | 0.35 | 0.35 |
| Fiber/%) | 0 | 1 | 3 | 5 |
| Anti-efflorescence agent/%) | 0 | 0 | 0 | 0 |
| Fe2O3Pigment/%) | 5 | 5 | 5 | 5 |
| Water reducing agent/%) | 0.3 | 0.3 | 0.3 | 0.3 |
(6) Respectively selecting a group of glass fiber reinforced cement products with a mixing ratio from the surface layer and the base layer, and when a test piece is combined during molding, firstly molding the glass fiber reinforced cement surface layer in a mold with a smooth surface, and then molding the glass fiber reinforced cement base layer on the basis of the surface layer;
(7) forming surface layer test pieces of the glass fiber reinforced cement product with different mixing amounts of the anti-whiskering agent according to the mixture ratio shown in the step (6), and obtaining whiskering area rate and whiskering uniformity of the test pieces after accelerated whiskering treatment;
(8) dividing the test piece from five different visual angles, respectively calculating the area rate of the whiskering, solving the standard deviation to obtain the whiskering uniformity, and finally analyzing to obtain the result.
As shown in figures 3-5, the main effective component of the microbial anti-flooding alkali agent is microbial powder, and the applied constant wind speed is 2m/s, in order to shorten the test period and better test the anti-whiskering performance of the glass fiber reinforced cement product, the detection of the whiskering area rate adopts an image method, a camera with four million pixels is used for image acquisition, a Lauer color card is used as the reference of the whiskering substance color, the whiskering uniformity of the glass fiber reinforced cement product is the discrete degree of the whiskering area rate of different unit areas on the surface of the glass fiber reinforced cement in five visual directions, and the whiskering uniformity test image is analyzed comprehensively, so that the conclusion is more accurate.
As shown in fig. 4-5, the molding size of the surface layer of the glass fiber reinforced cement product is 300mm × 300mm × 10mm, the molding size of the base layer of the glass fiber reinforced cement product is 300mm × 300mm × 20mm, the time interval for casting the two layers is not more than 10min, the molded test piece is placed in a standard curing room with the temperature of 20 ± 2 ℃, and the relative humidity of the curing room is more than 95%,in order to ensure Ca in the test piece2+Fixed before moving to the surface layer of the cement-based material, and CaCO is generated in the cement-based material but not on the surface3. When the thickness of the glass fiber reinforced cement product is 10cm, the mixing amount of the microbial anti-whiskering agent is 0%, 0.2%, 0.4% and 0.6%, the whiskering area rate of the glass fiber reinforced cement surface layer is 37.29%, 22.35%, 21.00% and 10.61%, respectively, and the results show that the mixing amount of the microbial anti-whiskering agent is 0%, 0.2%, 0.4% and 0.6%, respectively, and the mixing amount of the surface layer microbial anti-whiskering agent is 0.089, 0.043, 0.094 and 0.170, respectively, for whiskering uniformity.
As shown in fig. 6 to 16, glass fiber reinforced cement product base layer test pieces with different amounts of the anti-whiskering agent were molded according to the blending ratios shown in table 4, and the images after the accelerated whiskering treatment and the binarization treatment were as shown in fig. 5, and the results of the calculation of the whiskering area ratios and the whiskering uniformity were as shown in fig. 6, and only the glass fiber reinforced cement product base layer with a thickness of 20mm was present, and when the fiber contents were 0%, 1%, 3%, and 5%, the whiskering area ratios of the test pieces were 58.44%, 70.37%, 71.16%, and 80.4%, and the whiskering uniformity was 0.149, 0.129, 0.123, and 0.121, respectively. According to the mixing ratio shown in tables 1 and 2, the glass fiber reinforced cement product with the combination of the base layer and the surface layer is formed, as shown in fig. 8-15, images of part of test pieces after accelerated whiskering treatment and binarization treatment are shown, fig. 15 is a whiskering area ratio calculation result, and as can be seen from a test result, in the GRC product containing the surface layer and the base layer, the whiskering resistance performance improvement effect of the microbial whiskering resistance agent on the GRC product is still very obvious: when the mixing amount of the microbial anti-saltpetering agent of the surface layer is 0 percent and 0.2 percent, the saltpetering area rate of each group of GRC product test pieces is over 60 percent and even reaches 80 percent; when the mixing amount of the microbial anti-saltpetering agent in the surface layer reaches 0.4 percent, the saltpetering area rates of M4J0 and M4J1 are reduced to below 10 percent, namely 4.42 percent and 6.08 percent respectively, and the saltpetering area rates of M4J3 and M4J5 are also reduced to 18.00 percent and 23.17 percent from 70 percent to 80 percent; when the mixing amount of the microbial anti-saltpetering agent in the surface layer reaches 0.6 percent, the saltpetering area rate of each group of GRC product test pieces is reduced to about 3 percent. Furthermore, at a given level of top layer microbial anti-whiskering agent loading, the whiskering area ratio exhibited a tendency to increase with increasing base layer fiber loading, which is consistent with the test results described above, but since the base layer was covered by the top layer in the completed GRC article, the base layer whiskering had a limited effect on the overall whiskering, which was less pronounced than when only the base layer was present as described above.
As shown in fig. 16-18, the test piece is divided from different viewing angles, the area ratios of whiskering are calculated respectively, the standard deviation is calculated to obtain the whiskering uniformity, the calculation result is shown in fig. 18, and it can be found by combining fig. 16 and 18 that when the whiskering area ratio is large, the whiskering uniformity value is large, but the overall deviation is small, the deviation is related to the definition and calculation method of the whiskering uniformity, and other factors such as microbial anti-whiskering agent, alkali-resistant glass fiber, etc. have no direct influence on the whiskering uniformity.
In summary, according to the method for testing and characterizing the whiskering resistance of the glass fiber reinforced cement product, before the whiskering resistance is tested, the test piece is subjected to accelerated whiskering treatment, so that the test period is shortened, then an image method is adopted and a Lauer color chart is matched to reference the color of a whiskering substance, then a group of glass fiber reinforced cement products are formed according to the mixing ratio from the surface layer and the base layer according to the dispersion degree of the whiskering area rate of different unit areas on the surface of the glass fiber reinforced cement in five visual directions, after the accelerated whiskering treatment, the whiskering area rate and the whiskering uniformity of the test piece are obtained, the test piece is divided from different visual angles, the whiskering area rate is respectively calculated, and the standard deviation is obtained to obtain the whiskering uniformity.
Claims (10)
1. A prediction and evaluation method for whiskering uniformity of a glass fiber reinforced cement product based on microbial whiskering resistance is characterized by comprising the following steps:
(1) carrying out accelerated efflorescence treatment on the glass fiber reinforced cement product doped with the microbial anti-efflorescence agent;
(2) acquiring an image of the test piece subjected to the accelerated whiskering treatment to obtain a surface image of the test piece, performing binarization treatment on the surface image of the test piece to obtain a black-white image, and calculating the whiskering area rate of the test piece;
(3) and dividing the black and white images according to different visual directions, and calculating and dividing to obtain the whiskering area rate of each region to obtain the whiskering uniformity of the test piece.
2. The method for predicting and evaluating the whiskering uniformity of claim 1, wherein the tendency of the anti-whiskering performance of the GRC test piece of the microbial anti-whiskering agent at different blending amounts is predicted from the whiskering area ratio and the whiskering uniformity of the surface layer and the base layer.
3. The method for predictive evaluation of whiskering uniformity of claim 2, wherein the area ratio of whiskering and the whiskering uniformity of the glass fiber reinforced cement article are as follows:
when the microbial anti-efflorescence agent is blended, the efflorescence area ratio and efflorescence uniformity are as follows:
in the formula, EaTo the area ratio of efflorescence, EuFor whiskering uniformity, f and m are the percentages of fiber and microorganism in the mass of the cementitious material, respectively.
4. The method for prediction and evaluation of whiskering uniformity of claim 1, wherein step (2) comprises the steps of:
(1) under the condition of a constant light source, acquiring a Laur color chart with the color number of RAL9010 and a GRC test piece surface image subjected to accelerated whiskering treatment on the same screen, and converting the image into a black-and-white image with only gray level change;
(2) reading the gray value of the RAL9010 color card and recording the gray value as G, and counting that the gray value in the binary image on the surface of the GRC product is smaller than GArea A of GEAnd the total area A of the binaryzation image on the surface of the GRC product to be detected0；
(3) Calculating the efflorescence area ratio Ea
In the formula, EaIs the area ratio of saltpetering, AEFor the area of the area with the gray value less than G in the binary image of the surface to be measured, A0And (4) binarizing the total area of the image on the surface to be measured.
5. The method according to claim 1, wherein the step (3) comprises dividing the collected GRC surface image into different regions, and calculating the whiskering area ratio E of each region respectivelyaiDegree of whiskering uniformity EuThe calculation was performed using the following formula:
in the formula, EuFor whiskering uniformity, EaiThe ratio of the area of saltpetering in the i-th region,
the average of the alkali-efflorescence area ratios of the respective regions was obtained.
6. The method for prediction and evaluation of whiskering uniformity of claim 1, wherein in step (3), image division is performed using five visual directions, the image division lines being along a vertical direction, a horizontal direction, a 45 ° direction, a 135 ° direction, and a central divergent direction, respectively.
7. The method for predicting and evaluating the whiskering uniformity of the whiskering according to claim 1, wherein in the step (1), the whiskering acceleration treatment is to place the molded and demolded glass fiber reinforced cement test piece in a water tank, add water to more than half of the height of the test piece and ensure that the upper surface of the test piece to be tested is in a wet state, apply a constant wind speed to the surface, place for 24-48 h, and supplement water to the water tank during the period to ensure that the water surface is more than half of the height of the test piece.
8. The method for predicting and evaluating the whiskering uniformity of claim 1, wherein in the step (1), the method for preparing the microbial whiskering-resistant glass fiber reinforced cement product comprises: firstly, pouring a glass fiber reinforced cement product surface layer on a template, and adding a microbial anti-flooding alkali agent into the surface layer; and then before the surface layer is initially set, pouring a base layer on the surface layer foundation, and adding alkali-resistant glass fiber into the base layer.
9. The method for predicting and evaluating the evenness of whiskering of claim 8, wherein the time interval between the surface layer and the base layer is not more than 10min, the molded test piece is placed in a standard curing room with the temperature of 20 ± 2 ℃, and the relative humidity of the curing room is more than 95%.
10. The method for prediction and evaluation of whiskering uniformity of claim 1, wherein the top layer and the base layer have a length of 200 to 400mm, a width of 200 to 400mm, and a height of 10 to 20 mm.
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