Investigation of Impact Resistance of High-Performance Polypropylene Fiber-Reinforced Recycled Aggregate Concrete

Abstract

In order to investigate the effect of high-performance polypropylene (HPP) fiber on the impact resistance of recycled aggregate concrete (RAC), the impact resistance of HPP fiber-reinforced RAC (HFRAC) was investigated using drop-weight impact equipment and compared with steel fiber-reinforced recycled aggregate concrete (SFRAC). The effects of recycled aggregate replacement rates, fiber content, and fiber type were analyzed. Furthermore, the log-normal distribution and two-parameter Weibull distribution statistical methods were used to fit the probability distribution and predict the failure probability of the initial and final crack impact resistance of HFRAC and SFRAC specimens. The experimental results showed that the impact resistance of RAC decreased with the increase in recycled aggregate replacement rates. HPP fiber had little effect on the impact resistance of initial cracking in RAC, but significantly improved the impact resistance of final cracking in RAC, while steel fiber significantly improved the impact resistance of initial cracking in RAC, but had little effect on the impact resistance of final cracking in RAC. The anti-impact energy consumption and ductility of RAC increased with the increase in HPP content. When the HPP fiber content was 1.25% and the recycled aggregate replacement rate was 50%, the maximum impact energy consumption of RAC was 114.5 times higher than that of the plain RAC concrete specimen, and the maximum ductility ratio of the RAC matrix was 118.3. The addition of HPP fibers significantly improved the impact resistance of RAC. The fitting results showed that the distribution characteristics of HFRAC and SFRAC impact resistance were represented by a log-normal distribution and two-parameter Weibull distribution, with the former presenting a better fit to predict the impact resistance of HFRAC and SFRAC.

1. Introduction

According to incomplete statistics, China produced more than two billion tons of construction waste in 2020. The recycling rate of construction waste was less than 10% [1]. Waste concrete can be processed into recycled aggregate and applied to practical projects. It is beneficial and necessary for the environmental protection and rational and effective utilization of building resources. There is more residual mortar on the surface of reclaimed aggregate. The porosity and water absorption indices of reclaimed aggregate are higher than those of natural aggregate, and the elastic modulus is lower than that of natural aggregate [2]. Direct configuration of recycled aggregate into recycled aggregate concrete (RAC) results in lower compressive strength and elastic modulus. The bending resistance and durability of RAC also deteriorate [3,4,5,6]. These limitations limit the use of RAC.

In recent years, it has been reported in domestic and international studies that adding fiber can improve the physical, mechanical, and durability of concrete matrix [7,8,9,10]. Among them, steel fiber and polypropylene fiber have been widely used. Steel fiber (SF) is heavy, easy to rust, and causes concrete spalling, affecting the durability of the structure. Due to its light weight, corrosion resistance, high tensile strength, and excellent strengthening and toughening characteristics, high-performance polypropylene fiber (HPP) has been increasingly applied in concrete [11,12,13,14,15]. Ding et al. [13] found that HPP fiber significantly improved the flexural strength and flexural toughness of HPC with different aspect ratios. HPP fiber with a larger aspect ratio and more roots per unit mass had a better toughening effect. Kiachehr et al. [16] compared the application of HPP fiber and steel fiber in the concrete lining of a tunnel with water; the results showed that the influence of HPP fiber on the flexural toughness and chloride ion penetration resistance of concrete was higher than that of steel fiber. The influence of HPP fiber on the bending toughness of concrete was investigated by Zhu et al. [17]. It was found that HPP fiber had little effect on the initial fracture strength of concrete, but could obviously improve the fracture energy of concrete. Its effect was better than that of steel fiber with the same volume dosage. The effect of HPP fiber on the mechanical properties of concrete after freezing–thawing cycles was studied by Rikabi et al. [18]. The results showed that the thermal expansion coefficient and dynamic elastic modulus of HPP fiber concrete increased and decreased, respectively. The resistance to freezing–thawing cycles was significantly improved.

It can be seen from the above analysis that the bending strength and toughness of concrete can be significantly improved by adding HPP fiber. The current research on HPP fiber is mainly focused on the improvement of mechanical properties of ordinary concrete. The improvement of mechanical properties of RAC by HPP is less studied [19]. In particular, the impact resistance is rarely reported. In order to investigate the effect of HPP fiber on the impact resistance of RAC, 19 groups of RAC specimens with different aggregate replacement rates, fiber types, and dosage were designed and manufactured in this paper. Cube compressive strength and drop-hammer impact tests were carried out to analyze the effects of HPP fiber on the mechanical properties and impact resistance of RAC. The log-normal distribution and Weibull distribution functions were used to fit the impact test results and predict the failure probability, in order to provide a reference for later studies on the engineering design of RAC.

2. Experimental Procedure

2.1. Materials and Mixture Ratio of Concrete

In this study, 42.5R ordinary Portland cement (Bohai brand) was used. The fine aggregate was natural river sand, with a fineness modulus of 2.46. Natural coarse aggregate was used in the test with a particle size of 5–20 mm, apparent density of 2560 kg·m⁻³, and the bulk density of 1461 kg·m⁻³. The reclaimed coarse aggregate was crushed by a jaw crusher with a strength grade of C30–C60 waste concrete, and then screened and cleaned. The recycled aggregate was obtained with a particle size of 5–20 mm, apparent density of 2500 kg·m⁻³, bulk density of 1290 kg·m⁻³, crushing index of 14.1%, and mud content of 0.85%. The water-reducing rate of PC polyhydroxy acid high-efficiency water-reducing agent was more than 20%. Ordinary tap water was used as mixing water. The physical properties of HPP fiber and steel fiber are shown in Table 1. Their appearance is shown in Figure 1.

In order to study the influence of different replacement rates of recycled aggregate, fiber type, and dosage on the impact resistance of RAC, a total of 19 groups of specimens were designed. Four different types of RAC were considered, including three regenerated aggregate replacement rates (I = 0%, I = 50%, I = 100%), two types of fibers (HPP, SF), and four fiber volume fractions (0.5%, 0.75%, 1.0%, 1.25%). Concrete mix ratios are shown in Table 2.

2.2. Sample Preparation and Maintenance

All specimens were made using the forced mixer pre-dry mixing method. The coarse aggregate, sand, and cement were weighed and placed into the mixer for 2 h of dry mixing. Then, the fiber was added. In order for the fibers to be evenly dispersed, they were added into the blender slowly, using a manual process. Finally, the water-reducing agent and water were added. When the mixture was fully and evenly stirred, the samples were discharged and molded, and then placed on the vibration table for compaction and leveling. After standing at room temperature for 24 h, the specimens were molded. The specimens were placed in a curing room with a temperature of 20 ± 3 °C and relative humidity of more than 90% for 28 days of curing.

2.3. Experimental Methods

2.3.1. Compressive Strength Test

According to the “Standard for mechanical properties test of ordinary concrete” (GB/T50081-2002) [20], standard cube specimens were molded with dimensions of 150 mm × 150 mm × 150 mm, with three pieces in each group. The compressive strength test was carried out using a YAW-5000J computer-controlled electrohydraulic servo compression and shear testing machine.

2.3.2. Impact Resistance Test

According to the “Measurement of properties of fiber reinforced concrete” (suggested by ACI544.2 R-89) [21] and “Standard test methods for fiber reinforced concrete” (CECS 13-2009) [22], the drop-hammer impact device (as shown in Figure 2) designed by our research group was used for the impact resistance test. The sizes of the specimens were 300 mm × 300 mm × 50 mm square plates, with six pieces in each group. The four sides of the specimens were simply supported and installed on the test device. During the test, a steel hammer with a mass of 3 kg and an impact height of 457 mm was used to repeatedly impact the specimen. The bottom surface of the specimen was carefully observed after each impact. When the first visible crack appeared on the bottom surface of the specimen, the impact time was recorded as the initial crack anti-impact time N₁. When the crack of the specimen developed upward from the bottom and penetrated the upper surface of the specimen, it was regarded as the final crack failure. This time was recorded as the final crack resistance impact time N₂.

3. Results and Discussion

3.1. Compressive Strength

The compressive strength test results of cubes are shown in Table 3. It can be seen that the compressive strength of RAC decreased with the increase in the replacement rate of reclaimed aggregate. For RAC (RAC-i-0), the compressive strength of the specimen decreased by 12.6% when the replacement rate of reclaimed aggregate increased from 0% to 100%. However, with the increase in HPP fiber content, the compressive strength of HPP fiber-reinforced RAC (HFRAC) specimens did not increase or decrease significantly. This is similar to the conclusion of compressive tests using HPP fiber ordinary concrete [13,23]. The reason is that the elastic modulus of the polypropylene fiber is lower than that of the concrete matrix. The deformation of the fiber is greater than that of the concrete matrix when subjected to external force. Before the concrete matrix cracks, the fiber can hardly limit the deformation of the base material [24]. In addition, it was found that the compressive strength of SF fiber RAC (SFRAC) specimens increased with the increase in steel fiber content. When the steel fiber content was 1.25%, the compressive strength of SFRAC-100-1.25 was increased by 19.6% and 13.2% compared with RAC-100 and HFRAC-100-1.25, respectively. This indicates that the effect of steel fiber on RAC compressive strength was better than that of HPP fiber.

3.2. Impact Resistance

The results of the free-fall impact resistance tests of the 19 groups of specimens are shown in Table 3. Impact energy dissipation W_i is the impact resistance performance index. β is the ductility coefficient of the specimens [25,26]. W_i and β are calculated using Equations (1) and (2), respectively. The comparisons of the impact resistance and ductility of each specimen are shown in Figure 3 and Figure 4, respectively.

(1)$W_i=mgh\cdot N_i,$

(2)$\beta =\frac{N_2-N_1}{N_1},$

where N_i is the number of impacts. As can be seen from Table 3, the impact resistance times of RAC-0, RAC-50, and RAC-100 specimens in initial and final cracking were very close, showing obvious brittleness characteristics. The impact resistance of RAC decreased with the increase in the replacement rate of recycled aggregate. The anti-impact energy dissipation of RAC-0 was 1.3 times and 1.4 times that of RAC-50 and RAC-100. The addition of HPP fiber did not significantly improve the initial crack impact resistance of HFRAC specimen, as shown in Figure 3a. The final crack impact resistance of HFRAC specimen was improved significantly upon adding HPP fiber. The final crack impact resistance of HFRAC specimen increased with the increase in HPP fiber content, as shown in Figure 3b. When the amount of HPP fiber was 1.25%, the final crack anti-impact energy consumption of HFRAC-0-1.25, HFRAC-50-1.25, and HFRAC-100-1.25 was 87.5, 114.5 and 111.4 times that of HPP-free concrete RAC-0, HFRAC-50, and HFRAC-100, respectively. This indicates that HPP fiber played a more significant role in improving the impact resistance of concrete after cracking. This manifestation can be explained as follows: after the cracking of concrete matrix, the stress is transferred to the HPP fiber across the crack. Because of the high tensile strength of HPP fiber, the expansion of crack is inhibited by HPP fiber. Concrete impact failure is delayed. When HPP fibers slip, break, or pull out in matrix, substantial impact energy is absorbed. In addition, the fibers can produce a spring-like cushioning effect during impact loading. Part of the impact energy is converted into elastic potential energy of the fiber [25,27]. The impact kinetic energy is dissipated, and fracture propagation is delayed, improving the impact resistance of RAC.

From Figure 3a and Figure 4, we can see that, compared with HPP fiber, SF had a more significant effect on improving the initial crack anti impact energy consumption of RAC. It can be seen from Figure 3b and Figure 4 that HPP fiber had a more significant effect on improving the final crack anti-impact energy consumption of RAC and toughening RAC than steel fiber. When the HPP fiber content and the replacement rate of regenerated aggregate were 1.25% and 50%, respectively, the maximum impact energy consumption of RAC was 114.5 times that of the pure RAC concrete specimen. The maximum ductility ratio of the RAC matrix was 118.3.

Figure 5 shows the comparison of final failure modes of HFRAC and SFRAC specimens against impact under the same fiber content. Under impact load, both HFRAC and SFRAC specimens showed “cross” cracks. The cracks on the surface of HFRAC specimens were more numerous and thinner than those on the surface of SFRAC specimens. Compared with SFRAC specimens, HFRAC specimens had a larger area and deeper pit impacted by the drop hammer. HFRAC specimens bore more impact times. It is clear that most HPP fibers with bridge cracks were pulled out. The steel fibers were mostly pulled out as a whole. The HPP fibers had better bonding performance with the concrete matrix. This provides further evidence that HPP fiber had a better impact energy dissipation effect.

4. Probability Distribution Fitting Test

As a kind of heterogeneous mixture, concrete has more instability in physical and mechanical properties. In order to explore the probability distribution characteristics of HFRAC impact resistance more scientifically and accurately, HFRAC and SFRAC specimens with 100% replacement rate of recycled aggregate were selected as the research objects in this paper, and log-normal distribution and two-parameter Weibull distribution functions were used to fit the probability distribution of their impact resistance test results.

4.1. Log-Normal Distribution

Log-normal distribution applies to the situation that the natural logarithm transformation follows a normal distribution. Its application range is wide, including for product life and fatigue strength. Normally, the normality of a log-normal distribution is tested by the normal probability paper test [28,29]. Taking the impact times N (N > 0) of the impact resistance test as a random variable, and the transformation G = ln(N) of N was performed. If G was subject to a normal distribution, the probability density function would be expressed by Equation (3):

(3)$f(\ln N)=\frac{1}{\sigma \sqrt{2\pi }}\exp \left[-\frac{{\left(\ln N-\mu \right)}^2}{2{\sigma }^2}\right].$

In this paper, N_i represents the number of impact (the number of blows for initial crack impact N₁ and the number of blows for final crack impact N₂), which is the observed value of the lognormal distribution random variable. The cumulative distribution function (or failure probability) of the log-normal distribution is

(4)$F(\ln N_i)=P(\ln N_i)=\Phi (\frac{\ln N_i-\mu \ln N}{\sigma \ln N}),$

where $Z=\frac{\ln N_i-\mu }{\sigma }$. Then,

(5)$\Phi (z)={\displaystyle {\int }_{-\infty }^z\frac{1}{\sqrt{2\pi }}}\exp (\frac{N_i{}^2}{-2})d{N}_i$

is the standard normal distribution.

Taking the inverse function of both sides of Equation (4), we get

(6)${\phi }^{-1}[P(\ln N_{\mathrm{i}})]=\frac{1}{\sigma \ln N}\ln N_i-\frac{\mu \ln N}{\sigma \ln N}.$

Let $\mathrm{Y}={\phi }^{-1}[P(\ln N_{\mathrm{i}})]$, $\mathrm{X}=\ln N_{\mathrm{i}}$,${\alpha }_1=\frac{1}{\sigma \ln N}$, ${\beta }_1=\frac{\mu \ln N}{\sigma \ln N}$; then, we get

(7)$Y={\alpha }_{1}X-{\beta }_1.$

If the observed values of specimen impact times are arranged in order from small to large, the corresponding failure probability P = (lnN_i) can be expressed as follows [29]:

(8)$F(\ln N_i)=P(\ln N_i)=\frac{k}{m+1},$

where k represents the order number of observed values after arranging the observations in order (k = 1, 2, 3...), and m is the number of specimens in each group (m = 6 in this test).

The logarithmic normal distribution linear fitting analysis results of impact times N₁ and N₂ of HFRAC and SFRAC specimens are shown in Figure 6 and Table 4. It can be seen from Table 4 that the minimum value and the maximum value of the fitting correlation coefficient R² were 0.853 and 0.998, respectively. A linear correlation is considered when the fitting correlation coefficient R^{2 is} greater than 0.7 [30]. As shown in Figure 6, it can be seen that the fitting curve of the test results was approximately a straight line. It can be seen that lnN_i and ϕ⁻¹ [P(lnN_i)] had a good linear relationship. The distribution characteristics of shock resistance times of HFRAC and SFRAC followed a log-normal distribution.

4.2. Two-Parameter Weibull Distribution

Weibull probability distribution has the advantages of wide adaptability and undemanding sample size. It is widely used in fatigue damage, impact performance, and other research fields [31,32]. Taking the shock resistance number N (N > 0) as the random variable, the two-parameter Weibull distribution test was carried out. The probability density function of the two-parameter Weibull distribution can be expressed as follows:

(9)$f(N)=\frac{b}{N_a}{\left(\frac{N}{N_a}\right)}^{b-1}\exp \left[-{\left(\frac{N}{N_a}\right)}^b\right],$

where N_a is the characteristic life parameter (or scale parameter), and b is the shape parameter of the Weibull distribution.

N_i was the observed value of the random variable in the two-parameter Weibull distribution. The cumulative distribution function (or failure probability) of the two-parameter Weibull distribution is expressed by Equation (10). The reliability probability of impact times is expressed by Equation (11) for impact times greater than N_i.

(10)$F(N_{\mathrm{i}})=P(N_{\mathrm{i}})=1-\exp \left[-{\left(\frac{N_i}{N_a}\right)}^b\right].$

(11)$P_c(N_{\mathrm{i}})=1-P(N_{\mathrm{i}})=\exp \left[-{\left(\frac{N_i}{N_a}\right)}^b\right].$

Taking the equivalent transformation of Equation (11) and the two logarithms, we get

(12)$\ln \ln (1/P_c(N_i))=b\ln N_i-b\ln N_a.$

With $Y=\ln \ln (1/P_c)$, $X=\ln N_i$, ${\alpha }_2=b$, ${\beta }_2=b\ln N_a$, we get

(13)$Y={\alpha }_{2}X-{\beta }_2$

If the observed values of specimen impact times are arranged in the order of sequential statistics from small to large, the corresponding survival probability P_c(N_i) can be expressed as follows [32]:

(14)$P_c(N_{\mathrm{i}})=1-\frac{k}{m+1},$

where k is the order number of observed values after they are arranged in sequence (k = 1, 2, 3...), and m is the number of specimens in each group (m = 6 in this test).

The two-parameter Weibull distribution linear fitting results of impact times of HFRAC and SFRAC are shown in Table 5 and Figure 7. From Table 5, it can be seen that the minimum value and the maximum value of the fitting correlation coefficient R² were 0.757 and 0.998, respectively. It can be seen that the data points of each specimen were basically distributed on the fitted straight lines (Figure 7), suggesting that lnN_i and lnln(1/P_c) have a good linear relationship. The distribution characteristics of shock resistance times of HFRAC and SFRAC followed a two-parameter Weibull distribution.

In addition, the correlation coefficient R² values in Table 4 and Table 5 ere compared. The degree of distribution characteristics for impact resistance times N₁ and N₂ of different RAC specimens with respect to the log-normal distribution and Weibull distribution was different. In most specimens, the log-normal distribution R² value of the distribution characteristics of N₁ and N₂ was greater than that of the Weibull distribution. When HPP fiber dosage was 0.5 and 1.0, respectively, the N₁ and N₂ distribution characteristics of HFRAC-100-0.5 and HFRAC-100-1.0 were better described by a log-normal distribution. When 0.5–1.25% steel fiber was added, most log-normal distribution R² values of SFRAC specimens were greater than those of the Weibull distribution. Therefore, the impact resistance times N₁ and N₂ of RAC specimens better obeyed the log-normal distribution characteristics in this study.

4.3. P–lnN_i–V_f Curve of Impact Resistance

The log-normal distribution could better test the distribution law of impact resistance times of fiber RAC specimens. The anti-impact times (N_i) of fiber RAC specimens with different failure probabilities were obtained using Equations (6) and (7).

(15)$N_i=\exp (\frac{{\phi }^{-1}(P)+{\beta }_1}{{\alpha }_1}).$

According to Equation (15) and the fitting results of Table 4, the anti-impact times of fiber RAC specimens with given failure probabilities were calculated. The results can be seen in Table 6. On the basis of the results, the relationship curve between final crack resistance time N₂ and fiber volume content V_f of RAC specimens in each group were plotted under the given failure probability P, i.e., the P–lnN₂–V_f curve (Figure 8). Under different failure probabilities, there was a roughly quadratic linear correlation between the impact resistance time (N₂) and fiber volume content (V_f) of fiber RAC specimens.

5. Conclusions

The effect of HPP fiber on the impact resistance of RAC was investigated in this research. The impact resistances of HFRAC were determined using drop-weight impact equipment, with SFRAC as the reference specimen. The effects of different regenerated aggregate substitution rates, fiber contents, and fiber types on RAC impact resistance were analyzed. The log-normal distribution and the two-parameter Weibull distribution were used to perform fitting analysis and failure probability prediction on the impact test results of fiber RAC specimens using mathematical statistical functions. The results of the study were as follows:

• (1). The compressive strength of RAC decreased with the increase in replacement rate of recycled aggregate. The compressive strength of RAC increased with the increase in steel fiber content. The compressive strength of RAC was not significantly affected by HPP fiber content. When the steel fiber content was 1.25%, the compressive strength of SFRAC-100-1.25 was increased by 19.6% and 13.2% compared with RAC-100 and HFRAC-100-1.25, respectively.

• (2). The impact resistance of RAC decreased with the increase in the replacement rate of recycled aggregate. The initial crack anti-impact energy consumption of RAC was significantly improved by adding steel fiber. The final crack anti-impact energy consumption of RAC was not significantly affected by steel fibers. The exact opposite result was obtained upon adding HPP fiber, whereby the final crack anti-impact energy consumption of RAC was significantly improved. When the HPP fiber content and the replacement rate of recycled aggregate were 1.25% and 50%, respectively, the maximum impact energy consumption of RAC was 114.5 times that of the plain RAC concrete specimen, and the maximum ductility ratio of the RAC matrix was 118.3.

• (3). The log-normal distribution and two-parameter Weibull distribution function were used to fit the impact test results of HFRAC and SFRAC. The test results were in good compliance with the log-normal distribution and two-parameter Weibull distribution. The log-normal distribution function was more suitable for fitting the shock resistance times of HFRAC and SFRAC distribution characteristics. Under different failure probabilities, the final crack resistance times of HFRAC and SFRAC specimens exhibited a quadratic linear relationship to their fiber volume content.

Author Contributions

Conceptualization, X.K.; methodology, X.K.; software, T.Z. and B.W.; validation, T.Z.; formal analysis, Y.F.; investigation, T.Z.; resources, Y.F.; data curation, T.Z.; writing—original draft preparation, T.Z.; writing—review and editing, T.Z. and X.K.; visualization, Y.F.; supervision, X.K.; project administration, X.K.; funding acquisition, Y.F. All authors have read and agreed to the published version of the manuscript.

Institutional Review Board Statement

Not applicable.

Informed Consent Statement

Not applicable.

Data Availability Statement

Not applicable.

Conflicts of Interest

The authors declare no conflict of interest.

Publisher’s Note: MDPI stays neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Figures and Tables

Figure 1. Experimental fibers: (a) HPP fiber; (b) steel fiber.

Figure 2. Test device of drop-weight impact resistance: (a) design diagram; (b) physical diagram.

Figure 3. Test results of impact resistance: (a) number of blows for first crack N1; (b) number of blows for ultimate crack N2.

Figure 4. Ductility ratio of HFRAC/SFRAC.

Figure 5. The comparison of impact failure modes: (a) HFRAC specimen (front/back); (b) SFRAC specimen (front/back).

Figure 5. The comparison of impact failure modes: (a) HFRAC specimen (front/back); (b) SFRAC specimen (front/back).

Figure 6. Linear regression of N1 and N2 in log-normal distribution for FRAC.

Figure 7. Linear regression of N1 and N2 in Weibull distribution for FRAC.

Figure 8. P–lnN2–Vf curves: (a) HFRAC curves in log-normal distribution; (b) SFRAC curves in log-normal distribution.

Table 1

Physical properties of fiber.

Fiber Type	Length(mm)	Diameter(mm)	AspectRatio	Density(kg·m−3)	Tensile Strength(MPa)	Elastic Modulus(GPa)	Shape
HPP fiber	48	0.62	77.42	960	600	7–10	Indentation
Steel fiber	30	1.29	23.26	7800	590	201	Corrugated

Table 2

RAC proportions of fibers.

Number	Notation	Cement(kg·m−3)	Sand(kg·m−3)	Water(kg·m−3)	Coarse Aggregates (kg·m−3)		Water Reducer(kg·m−3)	Fiber Content (%)
					Nature	Recycled		HPP	SF
C1	RAC-0-0	410	719	166	1072	\	2.1	0	\
C2	HFRAC-0-0.5	410	719	166	1072	\	2.1	0.5%	\
C3	HFRAC-0-0.75	410	719	166	1072	\	2.1	0.75%	\
C4	HFRAC-0-1.0	410	719	166	1072	\	2.1	1.0%	\
C5	HFRAC-0-1.25	410	719	166	1072	\	2.1	1.25%	\
C6	RAC-50-0	410	719	166	536	536	2.1	0	\
C7	HFRAC-50-0.5	410	719	166	536	536	2.1	0.5%	\
C8	HFRAC-50-0.75	410	719	166	536	536	2.1	0.75%	\
C9	HFRAC-50-1.0	410	719	166	536	536	2.1	1.0%	\
C10	HFRAC-50-1.25	410	719	166	536	536	2.1	1.25%	\
C11	RAC-100-0	410	719	166	\	1072	2.1	0	\
C12	HFRAC-100-0.5	410	719	166	\	1072	2.1	0.5%	\
C13	HFRAC-100-0.75	410	719	166	\	1072	2.1	0.75%	\
C14	HFRAC-100-1.0	410	719	166	\	1072	2.1	1.0%	\
C15	HFRAC-100-1.25	410	719	166	\	1072	2.1	1.25%	\
C16	SFRAC-100-0.5	410	719	166	\	1072	2.1	\	0.5%
C17	SFRAC-100-0.75	410	719	166	\	1072	2.1	\	0.75%
C18	SFRAC-100-1.0	410	719	166	\	1072	2.1	\	1.0%
C19	SFRAC-100-1.25	410	719	166	\	1072	2.1	\	1.25%

Notes: In HFRAC-i-j or SFRAC-i-j, HF and SF denote HPP fiber and steel fiber, respectively, i represents the replacement rate of recycle aggregate, and j represents the volume of fiber.

Table 3

Results of compressive strength and impact resistance.

Number	Notation	fcu(MPa)	Specimen Number						AverageValueN1/N2	Wi/JW1/W2	β
			1	2	3	4	5	6
			N1/N2	N1/N2	N1/N2	N1/N2	N1/N2	N1/N2
C1	RAC-0-0	50.1	5/6	5/5	4/6	5/7	5/5	3/3	4.5/5.3	60.5/71.7	0.18
C2	HFRAC-0-0.5	49.3	4/33	3/26	3/18	3/16	3/11	\	3.2/20.8	43.0/279.5	5.50
C3	HFRAC-0-0.75	48.5	3/51	3/142	7/220	5/256	6/243	2/132	4.3/174.0	58.2/2337.8	39.47
C4	HFRAC-0-1.0	52.1	5/178	5/380	3/73	3/390	5/130	\	4.2/230.2	56.4/3092.9	53.81
C5	HFRAC-0-1.25	50.0	4/368	5/652	7/616	4/397	4/361	5/412	4.8/467.7	64.5/6274.5	96.44
C6	RAC-50-0	47.9	4/5	3/3	5/5	2/2	4/4	4/6	3.6/4.1	49.3/56.0	0.14
C7	HFRAC-50-0.5	48.3	3/60	3/18	3/14	3/30	3/18	3/32	3.0/28.6	40.3/384.3	8.53
C8	HFRAC-50-0.75	46.4	5/174	3/105	3/103	3/285	3/48	3/135	3.3/141.6	44.8/1903.4	41.91
C9	HFRAC-50-1.0	47.8	5/332	3/153	3/140	3/385	6/200	4/154	4.0/242.0	53.7/3251.5	59.50
C10	HFRAC-50-1.25	49.0	3/352	8/601	3/235	3/650	3/475	3/551	4.0/477.3	53.7/6412.9	118.3
C11	RAC-100-0	44.5	1/2	4/5	3/4	2/2	3/3	5/6	3.0/3.7	40.3/49.7	0.23
C12	HFRAC-100-0.5	45.8	3/42	2/19	2/26	5/20	3/28	2/21	2.8 /26.0	38.1/349.3	8.29
C13	HFRAC-100-0.75	46.0	3/135	2/85	3/196	3/268	3/110	4/159	3.0/158.8	40.3/2134.1	51.94
C14	HFRAC-100-1.0	46.7	2/196	3/100	6/192	3/187	4/365	3/351	3.5/231.8	47.0/3114.4	65.23
C15	HFRAC-100-1.25	46.2	3/634	8/342	4/329	4/431	4/579	3/157	4.6/412.0	61.8/5535.5	88.57
C16	SFRAC-100-0.5	48.2	2/7	4/8	3/8	3/6	3/8	5/11	3.3/8.0	44.8/107.5	1.40
C17	SFRAC-100-0.75	49.5	8/18	3/13	4/11	5/11	5/9	4/12	4.8/12.3	64.9/165.7	1.55
C18	SFRAC-100-1.0	52.3	7/17	6/15	5/16	6/16	7/20	5/13	6.0/16.2	80.6/217.2	1.69
C19	SFRAC-100-1.25	53.2	5/15	17/26	10/22	7/20	13/22	10/50	10.3/25.8	138.8/347.1	1.50

Table 4

Linear fitting results of log-normal distribution.

Number	Notation	N 1			N 2
		α 1	β 1	R 2	α 1	β 1	R 2
C11	RAC-100-0	1.295	1.271	0.918	1.590	1.910	0.982
C12	HFRAC-100-0.5	1.857	1.803	0.972	2.445	7.868	0.853
C13	HFRAC-100-0.75	2.998	3.238	0.976	1.886	9.426	0.997
C14	HFRAC-100-1.0	2.019	2.511	0.988	1.146	6.259	0.888
C15	HFRAC-100-1.25	1.862	2.617	0.868	1.470	8.712	0.881
C16	SFRAC-100-0.5	1.998	2.181	0.998	3.600	7.434	0.955
C17	SFRAC-100-0.75	2.246	3.436	0.949	3.178	7.906	0.897
C18	SFRAC-100-1.0	4.642	8.278	0.996	5.178	14.360	0.937
C19	SFRAC-100-1.25	1.765	3.986	0.991	1.752	5.554	0.894

Table 5

Linear fitting results of Weibull distribution.

Number	Notation	N 1			N 2
		α 2	β 2	R 2	α 2	β 2	R 2
C11	RAC-100-0	1.573	2.011	0.974	1.843	2.680	0.995
C12	HFRAC-100-0.5	2.027	2.410	0.940	2.769	9.380	0.757
C13	HFRAC-100-0.75	3.628	4.363	0.998	2.213	11.530	0.973
C14	HFRAC-100-1.0	2.382	3.424	0.975	1.328	7.718	0.837
C15	HFRAC-100-1.25	2.076	3.370	0.774	1.781	11.027	0.932
C16	SFRAC-100-0.5	2.296	2.966	0.994	4.215	9.163	0.896
C17	SFRAC-100-0.75	2.602	4.444	0.895	3.650	9.546	0.837
C18	SFRAC-100-1.0	5.463	10.194	0.997	6.088	17.352	0.916
C19	SFRAC-100-1.25	2.099	5.207	0.996	2.001	6.808	0.809

Table 6

Impact blows of FRAC for different probabilities of failure.

Number	Notation	Failure Probability P
		5%		15%		30%
		N 1	N 2	N 1	N 2	N 1	N 2
C11	RAC-100-0	1	1	1	2	2	2
C12	HFRAC-100-0.5	1	13	2	16	2	20
C13	HFRAC-100-0.75	2	62	2	86	2	112
C14	HFRAC-100-1.0	2	56	2	95	3	149
C15	HFRAC-100-1.25	2	123	2	186	3	263
C16	SFRAC-100-0.5	1	5	2	6	2	7
C17	SFRAC-100-0.75	2	7	3	9	4	10
C18	SFRAC-100-1.0	4	12	5	13	5	14
C19	SFRAC-100-1.25	4	9	5	13	7	18

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