Corresponding author: Valentina V. Kiryushina ( vkiryushina@gmail.com ) Academic editor: Yury Korovin
© 2019 Valentina V. Kiryushina, Yuliya Yu. Kovaleva, Petr A. Stepanov, Pavel V. Kovalenko.
This is an open access article distributed under the terms of the Creative Commons Attribution License (CC BY 4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
Citation:
Kiryushina VV, Kovaleva YY, Stepanov PA, Kovalenko PV (2019) A study into the scale effect on the strength properties of polymer composite materials. Nuclear Energy and Technology 5(2): 103108. https://doi.org/10.3897/nucet.5.35797

Polymer composite materials (PCM) are used extensively and are viewed as candidates for application in various industries, including nuclear power. Despite a variety of methods and procedures employed to investigate the mechanical characteristics of PCMs, the use of the laboratory sample mechanical test results to design and model largesized structures is not always fully correct and reasonable. In particular, one of the problems is concerned with taking into account the scale parameter effects on the PCM strength and elastic characteristics immediately in the product.
The purpose of the study is to investigate the scale effects on the mechanical characteristics of glass reinforced plastics using phenolformaldehyde and siliconorganic binders and a fabric quartz filler.
Samples of four different standard sizes under GOST 2560482 and GOST 46482014 were tested for threepoint bending using an LFM100 test machine to estimate the scale effect. The thicknesses of the model samples were chosen with regard for the wall thicknesses of fullscale products under development or manufactured commercially and the test machine features, and varied in the limits of 1.6 to 7.5 mm.
The tests showed that strength decreased as the sample thickness was increased to 3 mm and more both at room and elevated (200 to 500 °C) temperatures, which can be described by an exponential function based on the Weibull statistical model. The values of the Weibull modulus that characterizes the extent of the scale effect on the strength of the tested materials were 4.6 to 6.7. The average bend strength in the sample thickness range of 3 mm and less does not vary notably or tends to increase slightly as the thickness is increased. This fact makes it possible to conclude that estimation of allowable stresses in a thinwall product requires the use of test results for samples with a thickness that is equal to the product wall thickness since standard samples may yield overestimated allowable stress values and lead, accordingly, to incorrect calculations of the strength factor.
The results obtained shall be taken into account when defining the allowable levels of operation for fullscale products and structures of polymer composites based on the laboratory sample strength data as well as when estimating their robustness as a characteristic of the product’s failsafe operation.
Polymer composite materials, glass reinforced plastics, scale effect, strength, Weibull statistical model, size effect
Polymer composite materials (PCM) are used extensively and are viewed as candidates for application in various industries, including nuclear power. PCMs can be successfully employed and are potential substitutes for traditional metals and dielectrics used as protective compositions for heatinsulating, radiotransparent and structural loadbearing components.
It is by no means always fully correct and reasonable to use the results of laboratory sample mechanical tests to design and model largesized structures despite the fact that different methods and procedures have been developed and are used on a broad scale to study the mechanical characteristics of PCMs. For instance, there is a problem of taking into account the scale parameter effects on the PCM strength and elastic characteristics directly in the product (structure) (
The scale effect of strength means a failure of classical similarity laws observed in mechanical tests of geometrically similar samples. This is an apparent failure since it goes to prove that the sample strength is affected by parameters having a dimension of length but not included in classical equations of elasticity and plasticity theory. This may be a characteristic dimension of fiber, grain, microscopic crack, etc. The coarser the composite structure is and the more commensurable the structural scales of length are with the sample scales, the more profoundly the scale effect manifests itself, all other things being equal.
The scale effect of the composite strength is a natural consequence of the structure heterogeneity. At the same time, the structure heterogeneity is stochastic. With the current technology level, defects (microcracks, delamination, local debonding, surface blisters, buckling, excessive porosity, and others) may take place in the composite material fabrication process. The presence of defects leads to the statistical variability of physical and mechanical properties and to scale effect.
Therefore, estimation of scale effects on strength is important in design of composite structures, and formulation of the respective approach to this represents an essential stage in the development of composite material technology.
The most effective way to take into account the scale effect of strength for similar isotropic materials is to use the Weibull statistical model (
The probability of a failure of a product of the volume V in a heterogeneous stressed state, with regard for the volume size and the extent of the stress distribution irregularity within the volume, can be estimated using the distribution function
where m, σ_{0}, σ_{min} are the Weibull distribution parameters; and V_{0} is the volume of a standard sample. The parameter m, known as the Weibull modulus, is the dispersion measure of the material strength values and characterizes the level of the strength scale dependence.
Despite the fact that the Weibull model is used successfully for brittle isotropic materials to determine the interconnections of the breaking stress for different material volumes, its application is not so evident for anisotropic materials, such as glass reinforced plastics, even in a simple case with uniaxial tension in the direction of reinforcement (
The purpose of the study is to investigate the scale effects on the strength of fiberglass materials and the suitability of the Weibull statistical model to this end.
The test items are PCMs based on phenolformaldehyde resins (FNkv.) impregnated further with a solution of methylphenylspirosiloxane – MFSS8 (FNkv.+MFSS8) (
To assess the scale effect of strength, test beams of the FNkv. and FNkv.+MFSS8 materials were fabricated with four standard sizes: 1.6×10×32 mm; 3.0×10×60 mm; 4.0×10×80 mm; and 7.5×10×150 mm. The thicknesses of the model samples were chosen with regard for the wall thicknesses of fullscale products under development or manufactured commercially and the test equipment features. The samples were manufactured using one batch of fabric and impregnated with a single batch of binder to minimize the process side effects on the material properties.
A procedure developed at JSC “ORPE “Tekhnologiya” named after A.G. Romashin, based on GOST 2560482 and GOST 46482014, was used for the tests. This procedure establishes the method for bend testing of composite materials reinforced with glass or organic fibers in a temperature range of minus 60 °C to plus 1500 °C. In principle, the method suggests that the freely supported test sample with a rectangular crosssection is subjected to bending at a constant rate in the middle between the supports until it breaks or until the sample reaches the preset relative strain or deflection value. And the ultimate bend strength is understood to mean the maximum value of the bending fracture stress.
The tests to determine the ultimate static bend strength were conducted for the fabric filler warp and at temperatures of Т = 20, 200, 400, and 500 °C. The sampling scope was five FNkv. samples and five FNkv.+MFSS8 samples for each size and each temperature.
The results of the tests to determine the ultimate bend strength for the FNkv. and FNkv.+MFSS8 materials are presented in Tables
Ultimate bend strength (MPa) for the FNkv. samples of different sizes at different test temperatures.
Sample thickness, mm  Test temperature T, °C  
20  200  400  500  
1.6  430 ± 10  421 ± 17  285 ± 18  192 ± 28 
3.0  486 ± 51  421 ± 61  236 ± 21  180 ± 4 
4.0  405 ± 21  325 ± 28  213 +8  147 ± 10 
7.5  360 ± 21  275 ± 25  171 ± 11  128 ± 9 
Ultimate bend strength (MPa) for the FNkv.+MFSS8 samples of different sizes at different test temperatures.
Sample thickness, mm  Test temperature T, °C  
20  200  400  500  
1.6  436 ± 33  373 ± 39  251 ± 6  193 ± 4 
3.0  453 ± 62  394 ± 47  259 ± 10  201 ± 4 
4.0  348 ± 33  325 ± 23  237 ± 14  162 ± 11 
7.5  325 ± 7  284 ± 13  192 ± 8  137 ± 10 
An analysis of the presented data shows that, in a temperature range of 3.0 to 7.5 mm, both materials exhibit a tendency towards a decrease in the sample average ultimate bend strength for all test temperatures. On the average, the strength of the samples with h = 7.5 mm is 30 % as small as the strength of the samples with h = 3.0 mm.
As the sample thickness increases from 1.6 to 3.0 mm, the average strength either varies insignificantly or tends to grow slightly (the maximum growth of 13 % is recorded at Т = 20 °C for the FNkv. material). The absence of a major change in strength or its decrease in the test materials with h = 3 mm and less is in a good agreement with similar results obtained by other researchers for polyether fiberglass reinforced with variously woven fabrics and given in (
To assess the suitability of the Weibull model for describing the scale dependence of strength, a problem was initially solved concerning the correctness of using the Weibull distribution function (1) to describe the test results for the material’s standard samples.
Fig.
The analysis performed does not discard the use of Gaussian and Weibull distributions to describe the strength test results for the material samples. However, since the empiric distribution is slightly asymmetric, Weibull distribution is more suitable for the experimental data approximation. The level of significance based on the Mann fitting criterion (
It is important, when using the Weibull model, to take into account the scale effect of strength for engineering analysis. Assuming that the sample failure probability is P = 50 %, we get the following scale dependence from expression (1):
σ^{av}_{0}/σ^{av}_{1} = (V_{eff1}/V_{eff0})^{1/}^{m}, (2)
where σ^{av}_{0}, σ^{av}_{1} are the average ultimate strengths; and V_{eff1}, V_{eff0} are effective (stressed) volumes (
Instead of effective volumes, effective surface areas can be used in expression (2), which depends on which types of defects, volumetric or superficial, control the surface.
Figs
As follows from the presented data, there is a varying error observed in the experimental data approximation by an exponential curve for different test temperatures. The greatest divergence is recorded at Т = 200 °C for the FNkv. material (12.6 %), and at T = 20 °C for the FNkv.+ MFSS8 material (15.7 %). For the other test temperatures, the differences in the predicted and experimental ultimate strength estimates for both PCMs were not more than 10 %. This prediction error could be caused by the insufficient number of the tested samples and, consequently, by high values of the mean estimation errors, due to which it has been recommended that the investigations should be continued. However, it is already the initially obtained results that do not run counter to the fact that the experimentally observed scale effect of strength for the tested PCMs can be described by dependence (2) that stems from the Weibull model.
The Weibull modulus values, estimated from the degrees of the approximating scale curves, are m = 4.6 – 6.7 for the FNkv. material and m = 5.1 – 6.2 for the FNkv.+MFSS8 material. These values are close to the values of the parameter m obtained as the result of the strength tests for standard samples of commercially manufactured materials, which confirms once again that the use of the Weibull model is correct.
The paper presents the results of the initial stage of the study to estimate the scale effect of the PCM strength based on phenolformaldehyde and siliconorganic binders. The following conclusions can be made based on the investigation results.
1. In the sample thickness range of 3 mm and less, the average ultimate bend strength either varies insignificantly or tends to grow slightly, which makes it possible to conclude that the normal distribution law function shall be used to describe the strength of the material in a “thinwall” product and to estimate the probability of its failsafe operation, and test results for samples with the thickness corresponding to the product wall thickness shall be used to estimate the allowable stresses.
2. The sample size influences greatly the maximum bend stress during a failure with the sample thickness being 3 mm and more. On the average, an ultimate strength decrease of 30 % is observed.
3. The processing of mechanical test results for test beams with different crosssections has shown that the dependence of strength on scale can be described by exponential equation (2) that stems from the Weibull statistical model used effectively to estimate the scale effect of the isotropic material strength. The values of the Weibull modulus that characterizes the degree of the scale dependence of strength are m = 4.6 – 6.7 for the FNkv. material and m = 5.1 – 6.2 for the FNkv.+MFSS8 material and are close to the values of this parameter for a number of Russian glass reinforced plastics.
4. The Weibull statistical model can be used to estimate the scale effects on the strength of samples and structures of PCMs. Investigations in this field however require to be continued with a larger number of samples so that to minimize statistical errors and with testing samples of other configurations and using other loading patterns.
The results obtained in the study shall be taken into account when determining the allowable levels of operation for fullscale products and structures of polymer materials based on the laboratory sample strength data, as well as when estimating their reliability (probability of failsafe operation).