A method and system for predicting dynamic growth factor of hybrid fiber reinforced geopolymer concrete

Abstract

The application discloses a kind of hybrid fiber reinforced geopolymer concrete dynamic growth factor prediction method and system, it is related to composite material technical field, including: based on the ratio of dynamic peak stress and quasi-static peak stress under given strain rate, obtain initial peak stress growth factor;Based on the ratio of dynamic elastic modulus and static elastic modulus, obtain the dynamic increase coefficient of concrete elastic modulus;In the case where static compression test piece size and dynamic compression test piece size are consistent, analyze the influence of fiber combination mode, fiber type and content and strain rate on the dynamic performance of test piece;Introduce the secondary fitting of fiber characteristic parameter to initial peak stress growth factor, obtain the modified peak stress growth factor;The dynamic increase coefficient of concrete elastic modulus is fitted by linear function, and the modified elastic modulus growth factor and critical strain rate are obtained.The application can accurately predict the dynamic growth factor of hybrid fiber reinforced geopolymer concrete, and then obtain the impact resistance of material.

Description

Technical Field

[0001] This invention relates to the field of composite materials technology, and more specifically to a method and system for predicting the dynamic growth factor of hybrid fiber-reinforced polymer concrete. Background Technology

[0002] GPC materials contain pores and cracks, and the incorporation of fibers increases defects in the matrix. During impact failure, strain hardening and damage softening behaviors occur successively. Specifically, the dynamic stress-strain curve includes a linear elastic rising stage, a nonlinear elastoplastic yielding stage, and a nonlinear descending segment after the peak. The characteristics of each stage are as follows:

[0003] (1) In the linear elastic rise stage, the stress increases linearly with the increase of strain. The initial slope of the dynamic stress-strain curve is the dynamic elastic modulus. Under high strain rate, the slope of the elastic segment is larger than that of the quasi-static segment, that is, the dynamic elastic modulus is larger. This is mainly because rapid impact will cause the rapid accumulation of energy inside the specimen. At the same time, the microcracks fail to propagate in time, and the accumulated energy cannot be consumed in time.

[0004] (2) In the elastoplastic yield stage, the rate of stress increase decreases with increasing strain, which is reflected in the decreasing slope of the curve. In this stage, cracks inside the concrete develop slowly with increasing strain, the material exhibits obvious strain hardening behavior, and the material strength continues to increase until it reaches the peak value of the stress-strain curve;

[0005] (3) The post-peak stress decreases nonlinearly with increasing strain. Unlike the quasi-static stress-strain curve, the dynamic stress-strain curve is fuller after the peak. During this stage, the rapid development of cracks inside the specimen leads to a sharp increase in strain, exhibiting obvious damage softening behavior, ultimately causing matrix failure. Crack propagation and fiber pull-out or breakage consume impact energy, therefore, the area under the stress-strain curve is larger when the fiber content is high.

[0006] For the same set of specimens, at lower strain rates, the dynamic peak stress is initially lower than the static peak stress. However, as the strain rate increases, the dynamic peak stress becomes significantly higher than the static peak stress. This means that during dynamic compression, there exists a critical strain rate. When the impact strain rate exceeds this critical strain rate, GPC exhibits a significant strain rate effect. Because the bond between the geopolymer matrix and the fibers is superior to that of ordinary concrete, the fibers can better bridge the gap when the matrix cracks. With increasing compressive strain, the matrix rapidly fails, leading to more fibers being pulled out or broken, thus losing some of its load-bearing capacity.

[0007] Due to the effect of fibers on the propagation of cracks in concrete, the addition of fibers can enable materials to bear more energy, thereby improving their strength. Peak strain and ultimate strain are important parameters characterizing the deformation capacity of materials under dynamic loading, and are of great significance for evaluating the impact resistance of materials.

[0008] Therefore, how to accurately predict the dynamic growth factor of hybrid fiber-reinforced polymer concrete and thus obtain the impact resistance of the material is a technical problem that urgently needs to be solved by those skilled in the art. Summary of the Invention

[0009] In view of this, the present invention provides a method and system for predicting the dynamic growth factor of hybrid fiber-reinforced polymer concrete, which solves the problems existing in the prior art.

[0010] To achieve the above objectives, the present invention provides the following technical solution:

[0011] A method for predicting the dynamic growth factor of hybrid fiber-reinforced geopolymer concrete includes the following steps:

[0012] The initial peak stress growth factor is obtained based on the ratio of dynamic peak stress to quasi-static peak stress at a given strain rate.

[0013] The dynamic increase factor of the elastic modulus of concrete is obtained based on the ratio of dynamic elastic modulus to static elastic modulus.

[0014] Under the condition that the static and dynamic compression specimens have the same size, the effects of fiber combination, fiber type and dosage, and strain rate on the dynamic performance of the specimens are analyzed.

[0015] By introducing fiber characteristic parameters, the initial peak stress growth factor is fitted twice to obtain the corrected peak stress growth factor.

[0016] By fitting the dynamic increase factor of the elastic modulus of concrete with a linear function, the corrected elastic modulus growth factor and critical strain rate are obtained.

[0017] Optionally, the prediction formula for the initial peak stress growth factor is as follows:

[0018]

[0019] In the formula, DIF f It is the initial peak stress growth factor; It is the dynamic strain rate, f d This is the corresponding dynamic compressive strength; It is 30×10 -6 s -1 f s It is the quasi-static compressive strength.

[0020] Optionally, the formula for predicting the initial peak stress growth factor is applicable to a strain rate range of 30 × 10⁻⁶. -6 ~3×10 2 s -1 .

[0021] Optionally, the formula for predicting the dynamic increase factor of the elastic modulus of concrete is:

[0022]

[0023] Where: DIF E It is the dynamic increase factor of the elastic modulus, E d It is the dynamic elastic modulus, E s It is the static elastic modulus; It is dynamic strain rate. It is 30×10 -6 s -1 .

[0024] Optionally, if the dynamic performance of the specimen is the peak stress growth factor, then the specific analysis results regarding the influence of fiber combination method, fiber type and dosage, and strain rate on the peak stress growth factor are as follows:

[0025] Calculate the peak stress growth factor for different fiber combinations at different strain rates, ranging from 45 to 220 s. -1 When the strain rate varies, the peak stress growth factor of different fiber combinations increases with the increase of strain rate and exhibits a nonlinear relationship; the hydrophilicity of PVA fibers limits crack propagation by forming curved surfaces at the crack tip, and the matrix containing PVA fibers is most sensitive to changes in strain rate; excessive fiber content introduces voids or forms agglomeration effects, reduces material homogeneity, and increases strain sensitivity.

[0026] Optionally, if the dynamic performance of the specimen is the elastic modulus growth factor, then the specific analysis results regarding the influence of fiber combination, fiber type and dosage, and strain rate on the elastic modulus growth factor are as follows:

[0027] The elastic modulus growth factor increases linearly with increasing strain rate; when the strain rate is less than 85 s2... -1 At that time, the value of the elastic modulus growth factor is less than 1, and the strain rate exceeds 85s. -1 When the elastic modulus growth factor is greater than 1; when the strain rate is greater than 145s... -1 When the value of the elastic modulus growth factor exceeds that under seismic strain rate, the critical strain rate of the elastic modulus of geopolymer concrete is 145 s2. -1 .

[0028] Optionally, obtain the corrected peak stress growth factor, specifically:

[0029] Introducing fiber characteristic parameters A second-order fitting is performed to obtain the peak stress growth factor prediction formula that takes into account strain rate and hybrid fiber characteristic values:

[0030]

[0031] in:

[0032] i = -0.028Λ H -0.0099Λ P -0.3114

[0033] j = -0.01Λ H -0.0312Λ P +1.3104

[0034] m = -0.025Λ H -0.0054Λ P -0.3114

[0035] n = 0.0759Λ H +0.0309Λ P +1.3104

[0036] Where: DIF f ' is the corrected peak stress growth factor. It is the quasi-static strain rate; L is the fiber length, d is the fiber diameter, and V is the quasi-static strain rate. f It is the volumetric content of the fiber; Λ H These are the fiber characteristic parameters of HS fibers, Λ P These are the fiber characteristic parameters of PVA fibers.

[0037] A prediction system for the dynamic growth factor of hybrid fiber-reinforced polymer concrete, employing any one of the above-described methods for predicting the dynamic growth factor of hybrid fiber-reinforced polymer concrete, includes:

[0038] The first initial value calculation module is used to obtain the initial peak stress growth factor based on the ratio of dynamic peak stress to quasi-static peak stress at a given strain rate.

[0039] The second initial value calculation module is used to obtain the dynamic increase factor of the elastic modulus of concrete based on the ratio of the dynamic elastic modulus to the static elastic modulus.

[0040] The analysis module is used to analyze the effects of fiber combination, fiber type and dosage, and strain rate on the dynamic performance of the specimen when the static and dynamic compression specimens have the same size.

[0041] The first optimization module is used to perform a second fitting of the initial peak stress growth factor by introducing fiber characteristic parameters to obtain the corrected peak stress growth factor.

[0042] The second optimization module is used to fit the dynamic increase coefficient of the elastic modulus of concrete using a linear function, and to obtain the corrected elastic modulus growth factor and critical strain rate.

[0043] As can be seen from the above technical solution, compared with the prior art, the present invention discloses a method and system for predicting the dynamic growth factor of hybrid fiber reinforced polymer concrete, which can accurately predict the dynamic growth factor of hybrid fiber reinforced polymer concrete and thus evaluate the impact resistance of the material. Attached Figure Description

[0044] To more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are only embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on the provided drawings without creative effort.

[0045] Figure 1 A schematic flowchart illustrating the method for predicting the dynamic growth factor of hybrid fiber-reinforced geopolymer concrete provided by the present invention.

[0046] Figure 2 A schematic diagram of the dynamic peak stress of each group of specimens under different strain rates provided by the present invention;

[0047] Figure 3 Provided by the present invention linear functions and A comparison chart of the fitting effects of the power function;

[0048] Figure 4 The DIF provided by the present invention E A schematic diagram showing the change with strain rate. Detailed Implementation

[0049] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0050] This invention discloses a method for predicting the dynamic growth factor of hybrid fiber-reinforced geopolymer concrete, such as... Figure 1 As shown, it includes the following steps:

[0051] The initial peak stress growth factor is obtained based on the ratio of dynamic peak stress to quasi-static peak stress at a given strain rate.

[0052] The dynamic increase factor of the elastic modulus of concrete is obtained based on the ratio of dynamic elastic modulus to static elastic modulus.

[0053] Under the condition that the static and dynamic compression specimens have the same size, the effects of fiber combination, fiber type and dosage, and strain rate on the dynamic performance of the specimens are analyzed.

[0054] By introducing fiber characteristic parameters, the initial peak stress growth factor is fitted twice to obtain the corrected peak stress growth factor.

[0055] By fitting the dynamic increase factor of the elastic modulus of concrete with a linear function, the corrected elastic modulus growth factor and critical strain rate are obtained.

[0056] In this embodiment, the peak stress can be directly obtained as the dynamic peak stress through the dynamic stress-strain curve, such as... Figure 2 As shown, at lower strain rates, most specimens did not fail, and the strength at this point only reflects the specimen's response to dynamic compressive energy, and cannot be used to judge the fiber's reinforcing effect. At higher strain rates, all specimens failed, and the dynamic strength at this point reflects the differences in reinforcing effects between different fiber types and fiber content. Specifically, the following conclusions are drawn:

[0057] (1) Overall, regardless of whether fibers are added, the strength of geopolymer concrete increases with increasing strain rate, showing sensitivity to strain rate. However, the strength of geopolymer concrete at 220s... -1 The intensity may decrease at times;

[0058] (2) Geopolymer concrete with steel fiber admixture is better able to withstand high strain rate impact than geopolymer concrete with PVA fiber admixture; geopolymer concrete with MS fiber admixture has higher dynamic strength than geopolymer concrete with HS fiber admixture.

[0059] (3) At lower strain rates, geopolymer concrete with PVA fiber alone is more sensitive to strain rate than geopolymer concrete with steel fiber alone; at higher strain rates, geopolymer concrete with PVA and steel fiber mixed together exhibits higher dynamic peak stress than geopolymer concrete with single fiber, indicating that the combination of PVA fiber and steel fiber can significantly improve the dynamic compressive strength of geopolymer concrete, and the combination of PVA+MS has a better effect.

[0060] (4) When blending PVA fiber and MS fiber, there is an optimal combination of fiber content. Excessive content of either fiber may reduce the dynamic strength of the matrix. The recommended combination is 0.55% PVA fiber and 1.0% MS fiber.

[0061] Peak strain and ultimate strain are important parameters characterizing the deformation capacity of materials under dynamic loading, and are of great significance for evaluating the impact resistance of materials.

[0062] Peak stress growth factor (DIF) f The initial peak stress (OPS) is a dimensionless quantity defined as the ratio of the dynamic peak stress to the quasi-static peak stress at a given strain rate, often used to assess the strain rate sensitivity of materials. Based on the CEB-FIP Model Code for Concrete Structures, the prediction formula for the initial peak stress growth factor is given as follows:

[0063]

[0064] In the formula, DIF f It is the initial peak stress growth factor; It is the dynamic strain rate, f d This is the corresponding dynamic compressive strength; It is 30×10 -6 s -1 f s This is the quasi-static compressive strength. The formula for predicting the initial peak stress growth factor is applicable to a strain rate range of 30 × 10⁻⁶. -6 ~3×10 2 s -1 .

[0065] CEB-FIP specification for DIF f The calculation instructions only state that the average compressive strength is used, but do not specify the dimensions of the static and dynamic compression specimens. In existing technology, the static strength used to calculate DIF is usually derived from conventional quasi-static compression tests; therefore, the specimen morphology used to obtain the static strength often differs from that used in dynamic tests. The static compressive strength of concrete exhibits a significant size effect; that is, the larger the specimen size, the lower the measured compressive strength. Therefore, using a larger static compression specimen size may lead to an inaccurate calculation of DIF. f The values ​​are relatively high, and the differences are more pronounced under high strain rate conditions. This embodiment aims to analyze the effects of fiber combination, fiber type and dosage, and strain rate on the dynamic performance of GPC and to conduct cross-group comparisons. Therefore, under the condition that the static and dynamic specimens are consistent between groups, the DIF values ​​are... f Comparisons are reasonable.

[0066] In this embodiment, the dynamic performance of the specimen is the peak stress growth factor. The specific analysis results regarding the influence of fiber combination, fiber type and dosage, and strain rate on the peak stress growth factor are as follows:

[0067] Calculate the peak stress growth factor for different fiber combinations at different strain rates, ranging from 45 to 220 s. -1 When the strain rate varies, the peak stress growth factor of different fiber combinations increases with the increase of strain rate and exhibits a nonlinear relationship; the hydrophilicity of PVA fibers limits crack propagation by forming curved surfaces at the crack tip, and the matrix containing PVA fibers is most sensitive to changes in strain rate; excessive fiber content introduces voids or forms agglomeration effects, reduces material homogeneity, and increases strain sensitivity.

[0068] In the prior art, DIF f The formula is usually adopted The linear function form, and a few of them are used The power function form. However, the DIF of the present invention... f and The relationship is not clearly linear; fitting with a power function would yield higher accuracy. Assume... in Nonlinear fitting is performed because the data trends are very similar, therefore... The power is set to a constant, and the global optimal solution with the same p-value for each group is found to be 0.399325, which is approximated as 0.4. The fitting was performed, and the fitting parameters are shown in Table 1.

[0069] Table 1 Fitting parameters

[0070]

[0071]

[0072] strain rate at 10 -5 s -1 Up to 10 -3 s -1 When DIF changes between these values, f and The linear correlation is good. Taking the typical group as an example, linear functions and The fitting effect of the power function is as follows: Figure 3 As shown, the strain rate is at 10 -5 s -1 Up to 10 - 3 s -1When the values ​​are in between, the predictive trends of the two functions are very similar. Therefore, in this embodiment, the DIF values ​​under quasi-static and seismic strain rates are... f Can be used uniformly The power function prediction; similarly, 10 -5 s -1 Up to 10 -3 s -1 At the strain rate, the global optimal solution for p is -0.126874, which is approximated as -0.127. The fitting was performed, and the fitting parameters are shown in Table 2.

[0073] Table 2 Fitting parameters

[0074] Group i j <![CDATA[R 2 ]]> Group i j <![CDATA[R 2 ]]> C -0.311489 1.310430 0.999033 P -0.567303 1.562494 0.994011 H -0.494597 1.491795 0.997316 M -0.511417 1.521973 0.965510 H10P4 -0.688532 1.705611 0.950945 M10P4 -0.469897 1.460975 0.970661 H10P55 -0.421979 1.421519 0.999901 M10P55 -0.385921 1.377124 0.958252 H10P7 -0.700333 1.704562 0.996952 M10P7 -0.574425 1.560660 0.954066 H5P55 -0.806335 1.828146 0.942197 M5P55 -0.619877 1.627547 0.987327 H15P55 -0.978633 1.966749 0.987786 M15P55 -0.488732 1.466853 0.856137

[0075] The differences in parameters m, n, i, and j are caused by the fiber, therefore the fiber characteristic parameters A second-order fitting is performed to obtain the peak stress growth factor prediction formula that takes into account strain rate and hybrid fiber characteristic values:

[0076]

[0077] in:

[0078] i = -0.028Λ H -0.0099Λ P -0.3114

[0079] j = -0.01Λ H -0.0312Λ P +1.3104

[0080] m = -0.025Λ H -0.0054Λ P -0.3114

[0081] n = 0.0759Λ H +0.0309Λ P +1.3104

[0082] Where: DIF f ' is the corrected peak stress growth factor. It is the quasi-static strain rate; L is the fiber length, d is the fiber diameter, and V is the quasi-static strain rate. f It is the volumetric content of the fiber; Λ H These are the fiber characteristic parameters of HS fibers, Λ P These are the fiber characteristic parameters of PVA fibers.

[0083] Due to the complexity of the dynamic elastic modulus's variation with strain rate, it is usually difficult to directly give an exact formula for the elastic modulus with respect to strain rate. However, the secant elastic modulus growth factor can be predicted using a formula. According to the CEB-FIP standard, the formula for predicting the dynamic increase factor of the concrete elastic modulus is:

[0084]

[0085] Where: DIF E It is the dynamic increase factor of the elastic modulus, E d It is the dynamic elastic modulus, E s It is the static elastic modulus; It is dynamic strain rate. It is 30×10 -6 s -1 .

[0086] like Figure 4 As shown, draw DIF E The relationship between strain rate and strain rate shows that the formula based on the CEB-FIP standard cannot accurately estimate the DIF of GPC. E Furthermore, it cannot reflect the effect of fiber addition on DIF. E The impact. From Figure 4 As can be seen from this, DIF E The DIF increases with increasing strain rate and exhibits a linear relationship; the fitting coefficients of the formula are shown in Table 3. Adding steel fibers can increase DIF. E The strain rate sensitivity of DIF increases with increasing fiber content. E The strain rate sensitivity also increases significantly, as can be seen from the values ​​of parameter k in Table 3. In the two mixed series, the DIF of the H15P55 group and the M15P55 group is significantly increased. E The strain rate sensitivity is the highest, and the combination of PVA and HS exhibits even higher strain rate sensitivity. The strain rate is less than 85 s⁻¹. -1 At that time, DIF E The value is less than 1, and the strain rate exceeds 85s. -1 At that time, DIF E The value is greater than 1; at a strain rate greater than 145 s⁻¹ -1 At that time, DIF E The value exceeds the elastic modulus growth factor under seismic strain rate. This indicates that the elastic modulus of geopolymer concrete increases more significantly at high strain rates, with a critical strain rate of 145 s⁻¹. -1 .

[0087] Table 3 Fit coefficients

[0088] Group k a <![CDATA[R 2 ]]> Group k a <![CDATA[R 2 ]]> C 0.0065 0.4797 0.9118 P 0.0054 0.5677 0.8853 H 0.0045 0.5811 0.9573 M 0.0046 0.5971 0.9291 H10P4 0.0046 0.6117 0.9907 M10P4 0.0053 0.6262 0.9834 H10P55 0.0057 0.5266 0.9952 M10P55 0.0046 0.6411 0.9988 H10P7 0.0065 0.4432 0.9909 M10P7 0.0067 0.4523 0.9759 H5P55 0.0063 0.5219 0.9861 M5P55 0.0053 0.038 0.9913 H15P55 0.0103 0.2503 0.9949 M15P55 0.0088 0.4168 0.978

[0089] and Figure 1 Corresponding to the method described above, embodiments of the present invention also provide a prediction system for the dynamic growth factor of hybrid fiber-reinforced polymer concrete, used for... Figure 1 The specific implementation of the method, the prediction system for the dynamic growth factor of hybrid fiber-reinforced polymer concrete provided in this embodiment of the invention, can be applied to computer terminals or various mobile devices, specifically including:

[0090] The first initial value calculation module is used to obtain the initial peak stress growth factor based on the ratio of dynamic peak stress to quasi-static peak stress at a given strain rate.

[0091] The second initial value calculation module is used to obtain the dynamic increase factor of the elastic modulus of concrete based on the ratio of the dynamic elastic modulus to the static elastic modulus.

[0092] The analysis module is used to analyze the effects of fiber combination, fiber type and dosage, and strain rate on the dynamic performance of the specimen when the static and dynamic compression specimens have the same size.

[0093] The first optimization module is used to perform a second fitting of the initial peak stress growth factor by introducing fiber characteristic parameters to obtain the corrected peak stress growth factor.

[0094] The second optimization module is used to fit the dynamic increase coefficient of the elastic modulus of concrete using a linear function, and to obtain the corrected elastic modulus growth factor and critical strain rate.

[0095] The various embodiments in this specification are described in a progressive manner, with each embodiment focusing on its differences from other embodiments. Similar or identical parts between embodiments can be referred to interchangeably. For the systems disclosed in the embodiments, since they correspond to the methods disclosed in the embodiments, the descriptions are relatively simple; relevant parts can be referred to the method section.

[0096] The above description of the disclosed embodiments enables those skilled in the art to make or use the invention. Various modifications to these embodiments will be readily apparent to those skilled in the art, and the general principles defined herein may be implemented in other embodiments without departing from the spirit or scope of the invention. Therefore, the invention is not to be limited to the embodiments shown herein, but is to be accorded the widest scope consistent with the principles and novel features disclosed herein.

Claims

1. A method of predicting a dynamic growth factor of a hybrid fiber reinforced geopolymer concrete, characterized by, The method comprises the following steps: An initial peak stress growth factor is obtained based on a ratio of dynamic peak stress to quasi-static peak stress under a given strain rate; A dynamic increase coefficient of concrete elastic modulus is obtained based on a ratio of dynamic elastic modulus to static elastic modulus; In the case of consistent sizes of static compression test pieces and dynamic compression test pieces, the influence of fiber combination mode, fiber type and dosage, and strain rate on dynamic performance of the test pieces is analyzed; A modified peak stress growth factor is obtained by introducing a fiber characteristic parameter to perform quadratic fitting on the initial peak stress growth factor; A modified elastic modulus growth factor and a critical strain rate are obtained by performing linear function fitting on the dynamic increase coefficient of concrete elastic modulus; A prediction formula of the initial peak stress growth factor is: wherein is the initial peak stress growth factor; is the dynamic strain rate, is the corresponding dynamic compressive strength; is , is the quasi-static compressive strength; A prediction formula of the dynamic increase coefficient of concrete elastic modulus is: wherein: is the dynamic increase factor of the modulus of elasticity, is the dynamic modulus of elasticity, is the static modulus of elasticity; is the dynamic strain rate, is .

2. The method for predicting the dynamic growth factor of hybrid fiber-reinforced geopolymer concrete according to claim 1, characterized in that, The prediction formula for the initial peak stress growth factor is applicable for strain rates in the range of .

3. The method of claim 1, wherein the dynamic growth factor of the hybrid fiber reinforced geopolymer concrete is predicted by the following equation: ###0001### wherein, G is the dynamic growth factor of the hybrid fiber reinforced geopolymer concrete, f is the fiber volume fraction, f is the fiber aspect ratio, and d is the fiber diameter. The dynamic performance of the test pieces is the peak stress growth factor, and the analysis result about the influence of fiber combination mode, fiber type and dosage, and strain rate on the peak stress growth factor is as follows: The peak stress growth factor of different fiber combinations increases with the increase of strain rate and presents a nonlinear relationship when the strain rate changes between 45 and 220 s -1 The peak stress growth factor of different fiber combinations increases with the increase of strain rate and presents a nonlinear relationship when the strain rate changes between 45 and 220 s The hydrophilicity of PVA fiber limits the crack propagation by forming a curved surface at the crack tip, and the matrix containing PVA fiber is most sensitive to strain rate change; Excessive fiber content introduces voids or forms agglomeration effect, reduces material uniformity, and increases strain sensitivity.

4. The method of claim 1, wherein the dynamic growth factor of the hybrid fiber reinforced geopolymer concrete is predicted by the following equation: ###0001### wherein, G is the dynamic growth factor of the hybrid fiber reinforced geopolymer concrete, f is the fiber volume fraction, and f is the fiber aspect ratio. The dynamic performance of the test pieces is the elastic modulus growth factor, and the analysis result about the influence of fiber combination mode, fiber type and dosage, and strain rate on the elastic modulus growth factor is as follows: The elastic modulus growth factor increases with the increase of strain rate and presents a linear relationship; when the strain rate is less than 85 s -1 , the value of the elastic modulus growth factor is less than 1; when the strain rate exceeds 85 s -1 , the value of the elastic modulus growth factor is greater than 1; when the strain rate is greater than 145 s -1 , the value of the elastic modulus growth factor exceeds the elastic modulus growth factor under the seismic strain rate, and the critical strain rate of the elastic modulus of the geopolymer concrete is 145 s -1 .

5. The method of claim 1, wherein the dynamic growth factor of the hybrid fiber reinforced geopolymer concrete is predicted by the following equation: ###0001### wherein, Gf is the dynamic growth factor of the hybrid fiber reinforced geopolymer concrete, f is the fiber volume fraction, and f is the fiber aspect ratio. The modified peak stress growth factor is obtained, and specifically: Introduction of fiber characteristic parameters The quadratic fitting was performed to obtain the peak stress growth factor prediction formula considering the strain rate and the characteristic value of hybrid fiber: Wherein: In the formula: is the modified peak stress growth factor, is the quasi-static strain rate, L is the fiber length, d is the fiber diameter, is the volume fraction of the fiber; is the fiber characteristic parameter of the HS fiber, is the fiber characteristic parameter of the PVA fiber.

6. A system for predicting the dynamic growth factor of a hybrid fiber reinforced geopolymer concrete, applying a method for predicting the dynamic growth factor of a hybrid fiber reinforced geopolymer concrete according to any one of claims 1 to 5, characterized in that, The method comprises the following steps: The first initial value calculation module is configured to obtain an initial peak stress growth factor based on a ratio of dynamic peak stress to quasi-static peak stress under a given strain rate; The second initial value calculation module is configured to obtain a dynamic increase coefficient of concrete elastic modulus based on a ratio of dynamic elastic modulus to static elastic modulus; The analysis module is configured to analyze the influence of fiber combination mode, fiber type and dosage, and strain rate on dynamic performance of the test pieces in the case of consistent sizes of static compression test pieces and dynamic compression test pieces; The first optimization module is configured to obtain a modified peak stress growth factor by introducing a fiber characteristic parameter to perform quadratic fitting on the initial peak stress growth factor; The second optimization module is configured to obtain a modified elastic modulus growth factor and a critical strain rate by performing linear function fitting on the dynamic increase coefficient of concrete elastic modulus.

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