1. Introduction
Engineering fiber-reinforced cement-based composites (ECC) are used to improve the initial mechanical performance of traditional cement-based materials by doping fibers to overcome the inadequacies of traditional cement-based materials. The impact of various types of fibers (carbon fiber, polypropylene fiber, polyvinyl alcohol fiber, steel fiber, and natural fiber) on the performance of cement-based composites are now the focus of the main study under various doses, lengths, and modification treatments. Furthermore, a few types of research focus on the ideal mix ratio by examining various fiber kinds and sizes. Other studies are focused on using fiber to improve the durability of cement-based products, such as fire resistance, high-temperature resistance, and frost resistance.
To investigate various fibers on the performance of cement-based materials, some scholars primarily conduct mechanical experiments to study the performance improvement of various fiber types, dosages, length dimensions, and modification treatments [
1,
2,
3]. Niu et al. [
4] conducted mechanical tests on PVA-ECC specimens with varying fiber concentrations. The test result demonstrates that increased PVA content does not improve the compressive strength but dramatically improves bending strength. Carbon fiber cement-based composites perform better in all aspects of engineering [
5,
6,
7]. Sadrolodabaee et al. [
8,
9] added a textile waste fiber to prepare fiber-reinforced mortar, and higher compressive strength and stiffness are obtained. Han et al. [
10,
11,
12] filled cement mortar with modified carbon fibers, and the addition of carbon fiber improves the compressive strength, tensile strength, and strain capacity and significantly reduces the volume shrinkage during the hardening process. Mathavan et al. [
13,
14] evaluated fiber cement-based materials’ mechanical properties and durability, including six natural fibers of cotton, wool, silk, linen, nylon, and polyester as additives. After proper solution treatment, it can be used as a strengthening mechanism for mortar. Feng et al. [
15] used nanometer calcium carbonate to modify the surface of polypropylene fibers. The fiber’s surface roughness is increased after modification, and dense hydration products are produced around the fiber’s surface so that the chemical bonding and strength of the fiber and the cement-based interface are improved. Curosu et al. [
16,
17] treated GFRP and PVA fibers with sulfuric acid and hydrochloric acid, respectively. Compared with sulfuric acid, the hydrochloric acid modification balances the fiber and the matrix’s adhesion, making the fiber cement-based material possess prominent superior mechanical properties. A finite element simulation study is carried out on fiber cement-based composites. The finite element software of ABAQUS is used to simulate fiber concrete numerically. Different types of fiber doping have different effects on the failure mode of concrete. The simulated load-displacement relationship is in good agreement with the test results [
18,
19]. Hussler-Combe et al. [
20] considered the nonlinear behavior of cement matrix, fiber material, and binding law. The theoretical basis, particular implementation problems, verification of simple configuration, and finite element simulation of steel fiber cement-based composite experiments are described.
Other scholars’ research discussed the hybrid fiber mix ratio and size in cementitious composites. Zhang et al. [
21] studied the influence of the mixing of basalt fiber and carbon fiber on the mechanical properties of cement. The mixing basalt fiber and carbon fiber can significantly improve the compressive strength and splitting tensile strength of cement. Zhang et al. [
22] comprehensively investigated the mechanical properties of ECC made of different microfibers (artificial and natural). The effect of fiber hybridization is discussed, including combining different fibers to form synergistic reinforcement materials. Özkan et al. [
23] analyzed the doped mortar’s compressive strength, bending strength, tensile strength, and microstructure. Moreover, the best hybrid combination is obtained with 75% PVA + 25% basalt fiber. Halvaei et al. [
24] found that carbon fiber is co-doped with chopped carbon fiber. The crack load and bending toughness increase significantly with increased fiber volume content. Song et al. [
25] evaluated steel fiber (SF) and carbon fiber (CF) using the hybrid effect index, compressive toughness, and impact toughness of steel fiber reinforced concrete (SFRC).
In addition, some studies found that fibers have a specific effect on the durability of cement-based composites at a certain amount of fiber [
26,
27,
28]. Nam et al. [
29,
30] tested the PVA fiber within a specific dosage range to improve cement-based composites’ frost resistance. However, excessive amounts of PVA fibers would adversely affect the frost resistance of cement-based composites. Nuaklong et al. [
31] experimentally studied the effect of the hybridization of multi-walled carbon nanotubes (MWCNTS) and polypropylene (PP) fibers on the mechanical properties and fire resistance of cement-based materials. The mortar’s strength is evaluated at temperatures below 1000 °C, and the fire resistance is improved by the MWCNTS bridging effect and the melting of PP fibers. Li et al. [
32] examined the steel-polyvinyl alcohol (PVA) fiber-calcium carbonate whisker (CW) multi-scale fiber-reinforced cement-based composite material at a high temperature of 900 °C. Steel-polyvinyl alcohol fiber and CW fiber are two types of fiber. The integration of mortar may significantly strengthen the bending and compressive strength of the mortar after high temperatures. The bending and compressive strength initially increase and then decrease with the temperature increase, and the critical temperatures are 200 °C and 400 °C, respectively. Iurie et al. [
33] investigated polyethylene with ultra-high molecular weight, aramid, and high modulus polymers. There is no discernible influence of high temperature on the tensile characteristics of aramid and PBO composites. Fiber cement-based materials comprised of ultra-high molecular weight polyethylene fibers, on the other hand, exhibit considerably better multiple fractures and peak ductility at temperatures up to 150 °C. Liu et al. [
34] found that fiber reinforcement reduces the softening degree of frozen-thawed soil in an unconstrained state, thereby improving the soil’s strength properties. Li et al. [
35] observed that the mechanical properties and freeze-thaw resistance were improved by increasing cement composites’ basalt fiber content. Li et al. [
36] presented a reliability calculation model for freeze-thaw damage based on the Miner theory of cumulative fatigue damage. Tao et al. [
37] studied that fiber cement composites’ elastic modulus and unconfined compressive strength decreased as the number of freeze-thaw cycles increased. Chai et al. [
38] determined that freeze-thaw actions decrease the interfacial adhesion between fibers and matrix, resulting in more fibers being pulled out during bending loads.
Fibers have greatly improved the different properties of cementitious products. However, few studies have compared the properties and finite element simulations of various fiber-cement matrix composites. Therefore, this paper uses several fiber-cement matrix composites to investigate cementitious composites’ mechanical properties and frost resistance. This study aims to investigate the extent of the effect of different fibers on the properties of cementitious materials under the effect of both doping and freeze-thaw factors. The strength under these factors is well predicted by finite element modeling and software fitting of mechanical data equations. Microscopic techniques are used to observe damaged surfaces under freeze-thaw action. The study combines mechanical testing machine tests and computerized ABAQUS finite elements for mechanical tests, a relatively new approach. Strength predictions are made using Origin and Curve 3D software, and the data were fitted to obtain surface equations. As a result, it can effectively predict the flexural strength of the material, which helps to establish theoretical conditions for engineering practice with other fiber cement-based materials and provides a basis for determining the mix ratio of fiber cement-based composites.
4. Numerical Simulation Analysis
The bending strength of fiber cement-based composites exhibits the same equation under the action of different fiber volume fractions and freeze-thaw cycles. On this foundation, a formula model for the bending strength of cement-based composites with different fiber doping under the action of volume fraction and freeze-thaw is proposed.
After determining the type of fiber, we request to optimize a performance parameter or multiple performance parameters. We present a mathematical method for this type of binary parameter optimization. For practical problems, a particular performance parameter usually first increases and then decreases with the increase of the independent variable (or first decreases and then increases). Therefore, we assume that this is a binary function describing the problem.
Figure 11 is mathematically modeled using Origin software, which automatically selects the fitted surface to obtain Equation (1). It shows the generic form, which has six unknowns. Solving these six unknowns requires six independent conditions of x, y, and z. These six parameters are replaced into the equation once solved (1). When x = 1 and y = 0, there is a maximum value in the function range. If x = 0 and y = 100, the function range has a minimum value.
where z is bending strength; z
0 is 0% volume fraction and 0 freeze-thaw bending strength; B, C, D, E and F are constant parameters; x is fiber volume fraction; y is freeze-thaw times. The main function of the POWER function is to return the power of a given number. Parameter a represents the base, and parameter b represents the exponent.
The six parameters of various fibers are shown in
Table 8. The fixed constant z
0, for example, indicates the bending strength under zero content and zero freeze-thaw cycles. The parameter values B, C, D, E, and F impact the bending strength of various fibers under varied content x and freeze-thaw periods y. The greater the value of B, C, F, F parameters, the greater the strength, indicating the better the material properties. There is no apparent link between the size of C and D and the strength.
Figure 12 shows the simulated formula model presents a curved “waterfall” state, a paraboloid with a downward opening. The maximal point of the paraboloid is y = 0, and it is at x = 1. X is in the range of 0–0.5, the intensity increases rapidly, and there is a clear change trend. The intensity drops dramatically in the 0.5–1 interval. After prediction, the quantity of fiber will no longer increase the bending strength of cement-based composites. Y is in the range of 0–50. The larger of y, the smaller the intensity. It is predicted that as the number of freeze-thaw cycles y increases, the final strength will drop to zero. The coordinate points x, y, z denote the following: dosage, freeze-thaw times, bending strength.
Figure 12a is the bending strength model of glass fiber cement-based composite material under the action of the dosage and the number of freeze-thaw cycles. We choose the three most unique places, a1, b1, and c1, which indicate the maximum bending strength, the turning point of strength shift, and the lowest bending strength, respectively. The positions of the three points are a1 (1, 0, 7.7), b1 (0.5, 0, 6.9), and c1 (0, 100, 4.1).
Figure 12b shows the bending strength model of the carbon fiber cement-based composite material under the action of the dosage and the number of freeze-thaw cycles. We choose three of the most characteristic points, a2, b2, and c2, representing the highest point of bending strength, the turning point of strength change, and the lowest point of bending strength. The positions of the three points are a2 (1, 0, 6.75), b2 (0.5, 0, 6.47), and c2 (0, 100, 4.14).
Figure 12c is the bending strength model of PVA fiber cement-based composite material under the action of the dosage and the number of freeze-thaw cycles. We choose three of the most characteristic points, a3, b3, and c3, representing the highest point of bending strength, the turning point of strength change, and the lowest point of bending strength. The positions of the three points are a3 (1, 0, 6.5), b3 (0.5, 0, 6.37), and c3 (0, 100, 4.0).
The optimal volume fraction may be estimated using this experimental approach under the known freeze-thaw periods of a specific fiber composite material. This method verifies that the fiber improves cement-based materials’ mechanical properties and frost resistance. It can reveal the law of bending strength of different kinds of fiber cement-based materials with the number of freeze-thaw cycles and volume fraction. This approach is appropriate since the strength of cement-based materials is discrete. The equation’s freeze-thaw times and mixing amount should be selected according to particular engineering experience, and the corresponding parameters have the correct range of variation.
5. Finite Element Modelling
Firstly, the simulation utilizes Python to generate fiber code. The principle of the Python code is first to determine the three-dimensional parameters of the specimen, such as 4*4*16 cm, and then import the fiber diameter, length, and volume content. The coordinates of the fibers appeared randomly within the three-dimensional parameters of the specimen. It was imported into ABAQUS to build uniformly distributed and discrete fiber parts. Then, concrete parts were built, and the C40 concrete damage plasticity parameters were given to the cement-based composites under 0, 50, and 100 freeze-thaw cycles. Moreover, the performance indicators such as elasticity, plasticity, and density of the glass fiber were given to the fiber. Finally, the contact between the fibers and the cement-based material was done in a “built-in” fashion. The mesh accuracy of the fiber part is four times that of the concrete mesh. The composite model was subjected to multiple compression and bending simulation tests, and the following results were finally obtained.
5.1. Stress Simulation Analysis
A 4 cm cube fiber cement-based composite was obtained by ABAQUS modeling to simulate the compression test. Compared with
Figure 13a, the ABAQUS simulated stress cloud diagram in
Figure 13b shows that the stresses on the upper and lower sides are relatively concentrated, and the surrounding stresses are relatively small, which is in line with the experimental results.
Figure 13c shows the ABAQUS simulated stress perspective cloud diagram, showing the stress relationship between internal fibers and external cement-based materials. The fiber is less stressed, and some are not stressed, as seen in the partially enlarged picture. Comparative analysis shows that the compression of fiber cement-based composites mainly occurs when the internal cement matrix is damaged. The maximum failure stress is 36 MPa when the downward displacement of the top model reaches the maximum displacement of the measured test.
A 4 × 4 × 16 cm fiber–cement composite was created using ABAQUS modeling to simulate a bending test, where two arcuate rigid bodies support the bottom and the upper half is the test piece. The ABAQUS simulated stress cloud diagram shows that stress concentration occurs at the two points at the bottom and the contact point where the force is applied at the top, as shown in
Figure 14a,b. Tensile stress appears at the bottom of the fiber cement base, reaching about 2 MPa.
Figure 14c shows the ABAQUS simulated stress perspective cloud diagram, showing the comparison of stress cloud diagrams between internal fibers and external cement-based materials. The stress of the fiber at the section increases from top to bottom. The non-section fibers do not participate in the work. Through comparative analysis, it is found that the fiber cement-based composite material is fractured mainly at the bottom of the cement matrix. The fibers at the section play a role in hindering the development of cracks. The farther to the bottom, the greater the stress and the more severe the damage. The maximum stress at failure is 7.0 MPa when the downward displacement of the top model reaches the maximum displacement of the measured test.
5.2. Comparison between Simulated and Experimental Test Results
Figure 15 shows the maximum load of the three fibers. The test and simulation comparison chart can clearly and intuitively express the changing law of the ultimate load of the specimen under different conditions. The comparative finite element simulation and bending test results of three fiber cement-based materials are shown in
Figure 15a,c,e, respectively. With increasing volume percent, both measured and simulated bending strength increased. The bending strength decreased with the increase of freeze-thaw times. The measured bending strength is less than the simulated bending strength. The ultimate measured load of the unfreeze-thaw cement-based composite material under 1% carbon fiber volume fraction reached a maximum of 3.236 KN, and the ultimate simulated load can reach 3.317 KN. Under 0.5% fiber volume fraction and 100 times freeze-thaw cement-based composites, the ultimate measured load reached as low as 2.635 KN, and the ultimate simulated load can reach 2.719 KN. For fiber cement-based composites under the action of 100 freeze-thaw cycles, the reduction rate of bending strength of 1% volume fraction carbon fiber cement-based materials is significantly higher than that of 0.5% volume fraction carbon fiber cement-based materials. The other two kinds of fibers also exhibit this law. The ultimate measured load of the unfreeze-thaw cement-based composite material under 1% volume fraction of glass fiber reached 2.847 KN, and the ultimate simulated load can reach 2.911 KN. The ultimate measured load of 100 freeze-thaw cement-based composites under 0.5% glass fiber volume fraction reached as low as 2.55 KN, and the ultimate simulated load can reach 2.636 KN. The ultimate measured load of the unfreeze-thaw cement-based composite material of PVA fiber under 1% volume fraction reached 2.762 KN, and the ultimate simulated load can reach 2.844 KN. The ultimate measured load of 100 freeze-thaw cement-based composites under 0.5% PVA fiber volume fraction reached as low as 2.507 KN, and the ultimate simulated load can reach 2.585 KN. The law of the limit load of the simulation test results with the volume percent and the number of freeze-thaw cycles is determined to be compatible with the actual test results after comparing the actual test and simulation results. After comparing the actual test and simulation results, the simulation results of the three fiber cement-based materials all show that as the volume fraction increases, the ultimate load first increases rapidly and then tends to relax. The ultimate bending load decreases as the number of freeze-thaw cycles increases. Frost resistance can be improved by increasing the fiber volume percentage. The law of the ultimate load of the bending simulation test results with the volume fraction, and the number of freeze-thaw cycles is consistent with the actual test results.
Figure 15b,d,f are the comparative finite element simulation and compression test results of three fiber cement-based materials, respectively. The measured compressive strength and simulated compressive strength decrease with the dosage increase, and the compressive strength decreases with the increase of freeze-thaw times. As a result, the measured compressive strength is lower than that predicted by the simulation. Among them, the ultimate measured load of the unfreeze-thaw cement-based composite material with 0.5% carbon fiber content reached as high as 74.8 KN, and the ultimate simulated load can reach 77.1 KN. The ultimate measured load of 100 freeze-thaw cement-based composites with 0.5% carbon fiber content reached as low as 59.5 KN, and the ultimate simulated load can reach 62.2 KN. For fiber composite materials under 100 freeze-thaw cycles, the ultimate load of 1% carbon fiber cement-based materials is significantly higher than that of 0.5% carbon fiber cement-based materials. Glass fiber also exhibits this law. The ultimate measured load of the unfreeze-thaw cement-based composite material at 0.5% of the glass fiber content reached 72.8 KN, and the ultimate simulated load can reach 74.1 KN. The ultimate measured load of 100 freeze-thaw cement-based composites with 0.5% fiber content reached as low as 53.9 KN, and the ultimate simulated load can reach 55.2 KN. The ultimate measured load of the unfreeze-thaw cement-based composite material with PVA fiber at 1% content reached 70.4 KN, and the ultimate simulated load can reach 72 KN. The ultimate measured load of 100 freeze-thaw cement-based composites with 1% PVA fiber content reached as low as 52.3 KN, and the ultimate simulated load can reach 54.1 KN. After comparing the actual test and simulation results, all three fiber cement-based materials’ simulation results show that as the volume fraction increases, the ultimate load first increases and then decreases. The ultimate compressive load gradually decreases as the number of freeze-thaw cycles increases. Therefore, frost resistance can be improved by increasing the fiber volume percentage. The law of the ultimate load of the compression simulation test results with the volume fraction and freeze-thaw times is consistent with the actual test results.
It can be concluded that the fibers present a uniform and non-cross distribution under the simulation inside the cement base. However, the measured strength is somewhat lower than the predicted value due to irregular local fiber dispersion during the actual test. The findings of the finite element modeling and the actual test results show that the fiber may improve the mechanical characteristics of cement-based composites after freeze-thaw, regardless of whether the test is bending or compressive. Through the established finite element model, the compressive and bending strengths of carbon fiber cement-based materials, glass fiber cement-based composite materials, and PVA fiber cement-based composite materials can be predicted within the range of 1% volume fraction and 100 freeze-thaw cycles. For example, the bending strength of carbon fiber cement-based materials can be predicted at a volume fraction of 0.6% after 30 freeze-thaw cycles. The strength of fiber cement-based materials is successfully estimated with a volume percentage of more than 1% and 100 freeze-thaw cycles.
5.3. Correlation Analysis
This paper uses the well-known ‘Pearson’s correlation coefficient’ to study the relationship between strength, freeze-thaw cycles, and volume percent obtained under simulated experiments. The Pearson correlation coefficient is often used in the natural sciences to evaluate the degree of connection between two variables, and its value ranges from −1 to 1. The calculation Formula (5) is as follows:
where X
i is sample mean (i = 1, 2, 3…);
is number of samples; Y
i is sample mean (i = 1, 2, 3…);
is number of samples.
Four columns of data include fiber content, number of freeze-thaw cycles, and simulated flexural and compressive strengths for each set of samples. The determined fiber content and the number of freeze-thaw cycles determine the flexural and compressive strengths. In addition, Pearson’s correlation analysis was performed on the four columns of data. Finally, all data in
Table 9,
Table 10 and
Table 11 are obtained. The purpose is to study the correlation between different fibers’ flexural and compressive strengths. This is consistent with the research direction of dosage and freeze-thaw times on the strength of different fiber cement-based materials.
This paper studies the strength under the two factors of dosage and freeze-thaw times. The columns and rows represent the correlation between the fiber content and the number of freeze-thaw factors and the strength. The Pearson correlation coefficient of carbon fiber cement-based composite materials is shown in
Table 8, consisting primarily of compressive strength, bending strength, volume percentage, and freeze-thaw durations. It can be seen from
Table 9 that the compressive strength of carbon fiber cement-based composites is positively correlated with the bending strength and volume parameters, but the correlation is not high. Its compressive strength is negatively correlated with the number of freeze-thaw cycles, and the correlation is 0.05, which is significant. The bending strength of carbon fiber cement-based composites is negatively correlated with the number of freeze-thaw cycles, but the correlation is not high. Its bending strength is positively correlated with volume fraction, the correlation is 0.01, and the correlation is significant. The number of freeze-thaw cycles affects the compressive strength of carbon fiber cement-based materials the most, whereas the integral number of receptors affects the bending strength the most.
Table 10 displays the Pearson’s prior relation coefficients of glass fiber cement-based composite materials, mainly composed of the compressive strength, bending strength, volume fraction, and freeze-thaw times of glass fiber cement-based materials. It can be seen from
Table 9 that the compressive strength of glass fiber cement-based composites is positively correlated with the bending strength and volume parameters, but the correlation is not high. The number of freeze-thaw cycles is inversely connected with compressive strength, and the association is significant at the 0.01 level. Its compressive strength is negatively correlated with volume fraction, and the correlation is not high. The bending strength of glass fiber cement-based composites is negatively correlated with the number of freeze-thaw cycles, but the correlation is not high. Its bending strength is positively correlated with volume fraction, the correlation is 0.01 level, and the correlation is significant.
Table 11 shows the Pearson correlation coefficient of PVA fiber cement-based composite materials. The four metrics of compressive strength, bending strength, volume fraction, and freeze-thaw periods are all in good agreement with glass fiber cement-based composites.
It is concluded that the compressive strength of the three fiber cement-based materials have a significant correlation with the number of freeze-thaw cycles, and the bending strength has a significant correlation with the volume fraction. However, the Pearson coefficients of the three fibers are different. Therefore, the fiber has different effects in the compression and bending tests and can play a better role in the bending test. Therefore, the dosage correlates with the flexural strength and a low correlation with the compressive strength. The freeze-thaw effect is mainly on the cement base, so the freeze-thaw has a high correlation with the compressive strength and a low correlation with the flexural strength.
5.4. Strength Prediction Model under Different Fiber Dosage
The two factors are stacked to provide a comprehensive strength prediction method that predicts the 0 percent to 1 percent volume fraction and strength under 0 to 100 freeze-thaw cycles. Each model is calculated once for the fiber content of 0%, 0.5%, and 1% and freeze-thaw cycles of 0, 50, and 100 times, yielding nine strength values that linearly regress to a surface. The fitting was performed with the formula of Curve 3D software itself, and the formula of the fitting surface with the minimum error was obtained, as shown in Equation (6):
where z is strength; a, b, c, d, e, and f are constant parameters; x is fiber volume fraction; y is freeze-thaw times.
Figure 16 shows the strength prediction model of carbon fiber cement-based composites.
Figure 16a shows the compressive strength prediction model of carbon fiber cement-based materials, which presents a “sandpile”-like curved surface. In order to find the extreme value of Formula (5), firstly substitute the parameters in
Figure 16a into Formula (5) to obtain the corresponding formula, and then calculate the partial derivative of x and y corresponding to formula z. Solving the equations yields x = 0, y = 0.5, and z = 46.28. At this time, the carbon fiber cement-based polymer has reached its maximum compressive strength of 46.28MPa. The equation is solved to obtain x = 0, y = 1, and z = 7.62, as illustrated in
Figure 16b. The carbon fiber cement-based composite reaches its maximum bending strength of 7.62 MPa at this point. Similarly,
Figure 17a parameters are replaced into Formula (5) to generate the equivalent formula, and the partial derivative of x and y corresponding to formula z is determined. Solving the equations yields x = 0, y = 0.5, and z = 43.1. The glass fiber cement-based material reaches the maximum compressive strength of 43.1 MPa at this point.
Figure 17b shows that the equation is solved to obtain x = 0, y = 1, and z = 6.7. The glass fiber cement-based material reaches the maximum bending strength of 6.7 MPa at this point. The parameters in
Figure 18a are substituted into Formula (5) to obtain the corresponding formula, and then the partial derivative of x and y is calculated corresponding to the formula z. Solving the equations yields x = 0, y = 0.5, and z = 45.5. At this time, the PVA fiber cement-based material reaches the maximum compressive strength of 45.5 MPa. Similarly, as shown in
Figure 18b, the equations are solved to obtain x = 0, y = 1, and z = 6.5. At this time, the PVA fiber cement-based material reaches the maximum bending strength of 7.62 MPa. The strength surface changes simulated by the finite element analysis results are consistent with the strength change surfaces simulated by the test results, proving that the finite element model can predict the mechanical properties well.
6. Conclusions
In this paper, the compressive, bending, and microscope observation tests of three fiber cement-based composite materials were mainly carried out by fiber volume fraction and freeze-thaw times. Its mechanical properties were analyzed under different volume fractions and freeze-thaw cycles, and its bivariate numerical model was established. The findings of finite element modeling were compared with actual testing using ABAQUS, and the failure mechanism was investigated.
1. Based on microscopic observation, the interface between carbon fiber and cement base is good, but the dispersion effect is not ideal. Glass fiber and PVA fiber are evenly dispersed and have better adaptability to the cement base, but the interface effect is relatively weak.
2. The compressive strength of the three fiber cement-based composites showed the law of first increasing and then decreasing with the volume fraction. For example, the highest compressive strength was 46.8 MPa for a 0.5% volume fraction of carbon fiber composite material. The bending strength follows a pattern of a quick rise initially, then gradually increasing as the volume fraction increases. The maximum bending strength was 7.6 MPa for a 1% carbon fiber composite. The compression test observed the frost resistance performance of carbon fiber > PVA fiber > glass fiber, and the bending test found the frost resistance performance of carbon fiber > glass fiber > PVA fiber.
3. The fiber’s frost resistance to the cement-based composite material has been much increased. As a result, the strength is much higher than the control group in both bending and compressive tests. Carbon fiber is better than PVA fiber, and PVA fiber is better than glass fiber. After 50 freeze-thaw cycles, the compressive strength of carbon fiber decreased by 3.8%, and the bending strength decreased by 3.9%. The compressive strength after 100 freeze-thaw cycles decreased by 9.6%, and the bending strength decreased by 7.9%.
4. The test findings demonstrate that the bending-compressive strength ratio increases as the fiber volume increases. As a result, fiber can significantly increase the sample’s toughness and ductility. However, the bending-compressive strength ratio has a different effect depending on the fiber. This discrepancy becomes more pronounced as the number of freeze-thaw cycles increases. Glass fiber is more significant than carbon fiber and PVA fiber.
5. According to the test results, a mathematical method for studying the bending strength of the three fibers under the combined action of different volume fractions and freeze-thaw cycles is proposed. This mathematical approach can accurately forecast all bending strengths in the range of 0–1% volume fraction and 0–100 freeze-thaw cycles, and it is also commonly used in engineering to obtain binary issue calculation answers.
6. Cloud images were simulated by analyzing ABAQUS. The fiber received very little force during compression, and the maximum stress at failure was 39 MPa. The fiber cement-based composite material was mostly shattered near the cement matrix’s bottom, with a maximum stress of 7.0 MPa. The limit load variation law of simulation and actual measurement results are relatively consistent, and the simulation results are slightly larger than the actual test values. The finite element model can accurately forecast bending and compressive strengths with a volume fraction greater than 1% and 100 freeze-thaw cycles.