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 CHEMICAL ENGINEERING TRANSACTIONS  
 

VOL. 59, 2017 

A publication of 

 

The Italian Association 
of Chemical Engineering 
Online at www.aidic.it/cet 

Guest Editors: Zhuo Yang, Junjie Ba, Jing Pan 
Copyright © 2017, AIDIC Servizi S.r.l. 
ISBN 978-88-95608- 49-5; ISSN 2283-9216 

A Statistical Study on the Compressive Strength of Recycled 

Aggregate Concrete 

Qin Lia, Chunhong Zhangb* 

a Chemical Engineering Faculty of Yunan Open University, Kunming 650093, China  
b School of Ecology and Environmental Science, Yunnan University, Kunming 650091, China 

shelly20@163.com 

 

In order to explore the effect of RCA on the compressive strength of concrete, two RCAs from different 

sources are utilized to take experiments in this study. Four groups of concrete, including three RACs 

incorporated with various RCAs and another one made with natural aggregate (i.e. normal aggregate concrete 

(NAC)) are tested under an identical laboratory condition. The influence of RCA on the statistical parameters 

of the compressive strength, including the mean value, the standard deviation and the coefficient of variation 

are examined in detail. In addition, the fitted normal distribution modelto is used to describe the probability 

distribution characteristics of the compressive strength of the RACs, and the Monte-Carlo simulation technique 

is applied to verify the suitability of the normal distribution model for the probability distribution of the 

compressive strength of RAC. At last, it is summed up that the RCA does not have a significant effect on the 

variation and probability distribution of the compressive strength of concrete. 

1. Introduction 

Recycled aggregate concrete (RAC), was introduced into engineering practice many years ago. The 

application of RAC is beneficial for solving the increased waste storage problems, for reusing the large 

amount of waste concrete form the demolition of old concrete structures, and also for protecting the limited 

natural aggregate sources. Numerous studies covering the processing of the demolished rubble, the mix 

design, the material and structural behavior, and the economic and sustainability aspects of RAC have been 

carried out (Xiao et al., 2006). These findings have been summarized in some review papers and reports.  

Since 1900s, due to the accelerated urbanization, numerous researchers in China have devoted themselves 

to the research and applications of RAC in practice. The most important achievements obtained in China in 

the past years on this topic have been extensively reviewed. It is revealed from the previous studies in China 

and other countries that RAC exhibits generally lower mechanical properties in comparison to normal 

aggregate concrete (NAC)(i.e. concrete produced with natural aggregates) (Li et al., 2006). However, until 

now there is no one test result indicating that RAC is not suitable for use in engineering practice. In the recent 

years, Significant studies have been carried out on the stiffness, deformation, strength, and ductility of 

structural components and structures made of RAC. A review of existing work on the structural behavior of 

RAC has recently been given. It is found that the cracking patterns and failure of RAC structural elements and 

structures are generally similar to that of NAC structures.   

Although tremendous advances in understanding the material and structural behavior of RAC, there still exist 

some significant barriers in the practical application of RAC up to now. These barriers include the lack of 

appropriately located recycling facilities, the absence of appropriate technology, the lack of public awareness 

and government support, and the lack of proper standards, as pointed out (Hendriks, 1985). In addition, too 

little knowledge about the safety of structures made of RAC is another very significant barrier. It is often 

assumed that the coefficient of variation of the compressive strength of RAC increases in comparison to NAC, 

owing to the larger scatter in the quality and the composition of demolished concretes in practice (Rao et al., 

2007). The increased scattering of the compressive strength of RAC reduces the safety of structural 

components and structures made of this material. This decreased structural safety obviously introduces 

additional worry when RAC is used in engineering practice. Therefore, the safety of structural elements and 

                               
 
 

 

 
   

                                                  
DOI: 10.3303/CET1759071

 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 

Please cite this article as: Qin Li, Chunhong Zhang, 2017, A statistical study on the compressive strength of recycled aggregate concrete, 
Chemical Engineering Transactions, 59, 421-426  DOI:10.3303/CET1759071   

421

mailto:shelly20@163.com


structures made of RAC should be carefully studied before this material can be used in practice with sufficient 

confidence.     

The statistical characteristics of the compressive strength of concrete are of great importance for the reliable 

design and safety assessment of concrete structural elements and structures. For RAC, the use of RCA might 

increase the variations or uncertainties in the strength properties of such concrete due to the impurities 

introduced when producing RCA from waste concretes. Keeping this in view, the objective of the present work 

is to investigate the effect of RCA on the variations in the compressive strength of concrete (Xiao et al., 2005). 

Two RCAs from different sources were employed in this study. The effect of the RCA on the statistical 

parameters of the compressive strength, such as mean value, standard deviation, and coefficient of variation 

as well as probability distribution is evaluated. The normal distribution probabilistic model is examined whether 

it can be used to fit the experimental results for the compressive strength of RAC. The model is verified by 

Pearson goodness of fit test at 95% confidence level. Finally, the Monte-Carlo simulation technique is 

performed to obtain the theoretical strength distribution. The simulated distribution is compared with the 

experimental data.  

2. Previous Studies 

Very few investigations on the effect of RCA on the statistical parameters of the compressive strength of 

concrete have been carried out in previous studies. Early studies in Japan implied that the coefficient of 

variation of the compressive strength of RAC, which was produced in the laboratory, was not much different 

from NAC when one and the same RCA was used throughout the whole production process (Nihibayashi and 

Yamura, 1988). This finding was later confirmed and reported that the quality of RCA from crushed concrete 

specimens produced in the laboratory was relatively uniform, which resulted in a similar variability of the 

compressive strength of RAC and NAC (Larranaga, 2004). Similar results were also observed by some 

researches who found the compressive strength of RAC does not vary much from that of normal concrete with 

similar strength. In all the above experiments, RCAs crushed from laboratory specimens were used.  

To more realistically represent the RCA from demolished concrete structures, RCA that was crushed from 

waste concretes from a concrete pavement was used. On the basis of a large experimental program, the 

statistical parameters of compressive strength of RAC are investigated. The experimental results indicated 

that the coefficient of variation of the compressive strength of RAC is not much different from that of NAC 

under their test conditions, regardless of the RCA replacement percentage. Similar findings were also reported 

by a scholar who used RCA produced from a concrete plant.  

It should be noted that in most of the above tests, only RCA from one single source were used. However, in 

practice, RCA may come from distinct different sources. For RAC made with RCAs from different sources, the 

probabilistic distribution characteristics for the compressive strength of the concretes need to be further 

investigated. 

3. Experimental Program  

Ordinary Portland cement (OPC) with a 28-day compressive strength of 42.5 MPa and local river sand 

(fineness modulus 2.75), and water through campus water supply systems in Lishui city are used. Two RCAs 

were utilized in this study. The first RCA, denoted as RCA1, was prepared by crushing laboratory cast 

specimens made from original concrete, which has the compressive strength about 43MPa. The second, that 

is, RCA2 was produced from demolished concrete rubble in Lishui city. The drilled core tests showed that the 

compressive strength of the concrete rubble is about 37MPa (Xiao, et al., 2008). The natural aggregate is 

crushed granite. The RCAs and natural aggregate have the similar grading curves, and they meet the 

corresponding requirement for normal concrete. The basic properties of both natural aggregate and RCA are 

presented in Table 1. From Table 1, it can be seen that the RCAs have the following characteristics in 

comparison to natural aggregates: lower bulk and apparent density, higher water absorption ratio and lower 

strength characterized by larger crushing index (de Paw, 1981). The characteristics are attributed to old 

mortar adheres to the RCAs.  

Due to the high water absorption ratio of RCAs, the mix design method for conventional concrete, cannot be 

directly used to RAC since it may result in poor workability of the concrete mixtures. In this work, the mixing 

design procedure proposed for RAC in is used. The mixtures were divided into four groups, namely NAC, 

RAC1, RAC2 and RAC3. The mainly difference among various mixtures is the used coarse aggregate. For the 

mixture NAC, only natural aggregate was used, while for mixtures RAC1 and RAC2, the RCA1 and RCA2 

were used, respectively. In the last mixture RAC3, both RAC1 and RAC2 were used with a volume ratio of 1:1 

(Hansen, et al., 1983). For each mixture, a total of 45 cubes of 150 x150x150mm were prepared considering 

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the need for Pearson   goodness of fit test. Table 2 shows the mix proportions and slump for all concrete 

mixtures.  

Table 1: Basic properties of natural and recycled aggregates 

Aggregate 

type 

Grading 

(mm) 

Bulk density 

(kg/m3) 

Apparent density 

(kg/m3) 

Water absorption 

(%) 

Crushing index 

(%) 

NAC 5-31.5 1450 2894 0.25 3.82 

RCA-1 5-31.5 1202 2410 6.25 12.6 

RCA-2 5-31.5 1232 2480 4.16 9.8 

RCA-3 5-31.5 1218 2442 5.22 11.2 

Table 2: Mix proportions and slumps of concrete 

Mix W/C 

Materials used in 1m3 (kg/m3) 
Slump 

(mm) 
Cement Sand 

Coarse aggregate 
Water 

Natural Recycled 

NAC 0.39 475 505 1265 - 185 52 

RAC1 0.39 521 505 - 1066 185 48 

RAC2 0.39 521 505 - 1084 185 50 

RAC3 0.39 473 562 - 1093 185 45 

 

The preparation and the cure of all mixtures were conducted in the Laboratory for Building Material Research 

at Lishui University, PR China. All mixtures are prepared with a 150L mixing machine. The sand, cement and 

coarse aggregates are placed and mixed for about 2 min before water is added. After 3 min of mixing followed, 

a slump test is run to determine its workability (Coquillat, et al., 1982). The mixture in each group is cast in 

steel moulds and then compacted on a vibration table. They are demolded 24h after casting. All the concrete 

specimens were cured in a standard frog room (2020C and 95% relative humidity) for 28 days before the test. 

All specimens of NAC and RAC are tested in a universal testing machine to obtain the failure load.  

4. Test results and statistical analysis  

4.1 Statistical parameters of the tested compressive strength 
After testing N number concrete cube specimens under the same condition, a series of order strength values 

can be obtained. The statistical parameters, such as the maximum and the minimum value, and the mean 

value, the standard deviation and the coefficient of variation for the compressive strength of the concretes are 

obtained and shown in Table 3. 

Table 3: Statistical parameters for the compressive strength 

No max,cuf  min,cuf  cuf
~

 
cuf

  
cuf

  
cuf

 (%) 

NAC 45.2 33.8 40.1 39.6 3.34 8.43 

RAC1 42.9 29.8 38.3 37.8 3.22 8.52 

RAC2 44.4 32.9 39.5 39.4 3.29 8.35 

RAC3 43.7 30.2 38.7 38.0 3.43 9.04 

 

It can be seen from Table 3 that the mean compressive strength of RAC is in general lower than that of NAC. 

For RAC1 and RAC2, the reductions are 3.62% and 5.08 %, respectively; while for RAC3, the strength 

reduction is 3.96% (Lü, 2000). Several reasons may be responsible for the reduction of the compressive 

strength, including an increased porosity and a weak aggregate-matrix interfacial bond.  

One can see from Table 3 that the standard deviations and the coefficient of variation for the compressive 

strength of all the three RACs are somewhat higher than that of normal concrete. In addition, the two 

parameters mentioned above for RAC2 and RAC3 are slight higher than that of RAC1 (Li, 2009). This is 

because the RCA1 has more uniform quality than RCA2 and RAC3. However, generally speaking, the 

variability for the three RACs is not much different from those of the reference NAC.  

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4.2 Probability distribution characteristics of the compressive strength 
For conventional concrete, it is generally accepted that the normal distribution model is suitable for describing 

the probability distribution of the compressive strength. The histograms, which are primarily used for 

illustrating the distributions of the concrete compressive strength of concrete mixtures, are shown in Fig.1.  

 

 

Figure 1: Histogram for the distribution of the compressive strength  

It can be seen that the observed strength varies over a wide range (Yen, et al., 1997). From the histograms, it 

is reasonable to assume a normal distribution to fit the measured data for all the concretes, irrespective of the 

natural and recycled aggregates. Thus, the normal distribution is tried to fit the data. In order to verify the 

normal distribution for RACs compressive strength, a Pearson test and a Kolmogorov-Smirnov test are 

performed. 

For the Pearson test, we suppose for normal distribution H0 

The results of the-test for the distribution of the compressive strength for all the tested concretes are 

presented in Tables 4. The results in this Table indicate that H0 for the normal distributions cannot be rejected 

(Nixon, et al., 1978). Thus, it can be concluded that the normal distributions is able to applied to fit the 

compressive strength results of all the concretes at a 95% confidence level, irrespective of natural and 

recycled aggregates.  

Table 4: Test results on the normal distribution of compressive strength 

No  -Statistic  -Critical (at 0.05 level, 2-tailed) Accept / refuse H0 

NAC 4.2379 7.815 Accept 

RAC1 7.6089 7.815 Accept 

RAC2 4.9288 7.815 Accept 

RAC3 6.7227 7.815 Accept 

4.3 The Monte-Carlo simulation 
Due to the limited test results, a Monte-Carlo simulation study was also conducted. Such simulations have 

also been carried out in previous studies. The Monte-Carlo method refers to the practice of randomly 

assigning a value to an underlying random variable or vector, and observing the outcome of the process of 

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interest (Mukherjee and Chakraborty, 2003). Here, the underlying random variable is the compressive strength 

of the concrete and the process of interest is the probability of failure. The random concrete strength (Xi) is 

obtained by assigning the cumulative distribution function of the normal model, namely, F(Xi) to a random 

value ri between 0 and 1. The process is repeated several times to obtain the failure probability, i.e., the 

number of specimens failed at any stage of loading to the total number of simulations at that stage of loading 

(Hansen, et al., 1992). The probabilities of the failure, that is, the cumulative distribution function at different 

stage of loading obtained by experiment and simulation for all the tested concretes are calculated and 

presented in Figs. 2(a)-2(d). The results from the Monte-Carlo simulation are verified again that the normal 

distribution can be adopted to describe the compressive strength of the RACs.  

 

Figure 2: Comparison of the test and simulated compressive strength distribution  

5. Conclusions  

This paper investigates the probability distribution characteristics for the compressive strength of concrete with 

RCA from two different sources. Within the scope of this study, the following conclusions can be drawn:  

The standard deviation and coefficient of variation of the compressive strength of concrete with different RCAs 

are only slight higher than that of normal concrete. 

The normal distribution can be utilized to fit the compressive strength of RAC at 95% confidence level.  

The distributions for the compressive strength of RAC do not vary much from that of normal concrete with 

similar strength, inspection of the RCA from different sources.  

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