4. Discussion
When using the distortion methods of geometric thickness and width, the theoretical basis for the establishment of incomplete similarity is the assumption of the relative importance of material parameters. Therefore, it is necessary to discuss the source of similarity error and the importance of these material parameters in depth and to analyze the applicability of incomplete similarity.
(1) The Poisson’s ratio has relatively less effect for similarity.
In the derivation of the incomplete similarity used MⅠ and MⅡ, the Poisson’s ratio is ignored. Based on the Hooke’s law of Eq. (10a) and (10b), the influence of the simplification can be discussed by the following two aspects.
Firstly, for the impacted square plate in
Section 3.1, the influence of the Poisson’s ratio
on the strain
and the strain
is smaller than the influence of
and
, respectively. To describe the relative importance of the Poisson’s ratio, the dimensionless ratios
and
are defined from Eq. (10a) and (10b), respectively. Obviously, the greater the value of
and
, the greater the contribution of Poisson’s ratio on the normal strains. Then, for scaled models used the scaling techniques MⅠ and MⅡ,
and
in the spatial fields are plotted in
Figure 7. Since the y-coordinate of the curve is less than 1, the contribution of
for
and the contribution of
for
are significantly less than those of
and
, respectively. Therefore, it is reasonable to ignore the Poisson’s ratio
but keep parameters
,
and
when selecting the dominant similarity parameters. In addition, it can be found that the value of
is, on the whole, much greater than that of
. Thus, the Poisson’s ratio does more damage to similarity in the y direction than in the x direction, which is consistent with the similarity analysis in
Section 3.1.2.
Secondly, the more significant difference between Poisson’s ratio and its ideal similar value, the greater the similarity error in the x and y directions. According to Eq. (11), the ideal similar value of is defined as . The relative difference of to is defined as . It is also easy to prove that . Therefore, when , there is no error between the scaled model and the full-size prototype; when the absolute value of gets further away from 1, the scaled model deviates more from the full-size prototype. For the scaling techniques MⅠ, for VMA, IM7, E-glass and Steel, respectively. For the scaling techniques MⅡ, for VMB, IM7, E-glass and Steel, respectively. Obviously, the scaled model made of Steel has the largest deviation from the full-size prototype, while VMA/VMB has the smallest deviation. This explains why the scaled models of some materials have good similarity and others have poor similarity when using the scaling techniques MⅠ and MⅡ.
In order to further quantitatively explore the similarity error caused by
, the materials VMA and VMB with six new hypothetical Poisson’s ratio in
Table 10 are further used. The scaling factors and numerical models are exactly the same as ‘MⅠ (VMA)’ and ‘MⅡ (VMB)’ in
Section 3.1.1, except for Poisson’s ratio. When
increases from 1/4 to 4, the average error of strain components
,
and
on the time field is shown in
Figure 8. It can be seen that when the scaling techniques MⅠ and MⅡ are used, the similarity error is almost consistent with the change of
. When
, the average error of strain components in the x, y and x-y directions are all about 5%, showing good similarity. Combined with
Figure 7, the main reason is that the Poisson’s ratio contributes less to strain component in both full-size prototype and scaled models. However, when
, the average error increases significantly as
increases. In this case, the strain component
has the largest similarity error (about 10 % and 25% for
and 4, respectively), while
has the smallest similarity error (about 10% for
). Therefore, by designing optimal similarity material to control the value of
(such as
), the similarity loss caused by Poisson’s ratio can be significantly reduced.
(2) Ignoring the shear modulusor the elasticity moduluseasily break similarity.
In the derivation of the scaling technique MⅠ, another important reason for breaking the complete similarity is that the shear modulus
is ignored. While, on the derivation of the scaling technique MⅡ, the elasticity modulus
is ignored. According to Eq. (11), the ideal similar value of
and
are defined as
and
, respectively. The ratio of
to
and the ratio of
to
are expressed as
and
, respectively. For VMA, IM7, E-glass and Steel in the scaling technique MⅠ,
1, 1.9, 2.3 and 5.5, respectively. For VMB, IM7, E-glass and Steel in the scaling technique MⅡ,
1, 0.27, 0.20 and 0.03, respectively. Obviously, except for the virtual material,
and
of other materials are very different from their corresponding ideal values, especially for the isotropic Steel. When combined with
Figure 5i-l and
Figure 6, it can be found that these differences are consistent with the error of the full-size prototype predicted by the scaled model. The above also analysis explains why the similarity errors increase significantly when isotropic Steel different from properties of the full-size prototype is selected for the scaled model. Therefore, better similarity can be obtained for materials with MⅠ whose design parameter
is close to
and for materials with MⅡ whose design parameter
is close to
.
In order to further quantitatively explore the similarity error caused by
, the materials VMA with hypothetical shear modulus in
Table 11 are further used. The scaling factors and numerical models are exactly the same as ‘MⅠ (VMA)’ in
Section 3.1.1, except for shear modulus. When
increases from 1/4 to 4, the average error of strain components
,
and
on the time field is shown in
Figure 9. It can be seen that, when the absolute value of
gets further away from 1, the average error of the strain
and
increases significantly, while the average error of the strain
remains almost zero. In contrast, at the same distance, the similarity error is larger when
than when
. In this case, the strain
has the largest similarity error, even reaching 36% for
. Therefore, by designing optimal similarity material to control the value of
(such as
), the similarity loss caused by shear modulus can be significantly reduced.
In order to further quantitatively explore the similarity error caused by
, the materials VMB with hypothetical elastic modulus in
Table 12 are further used. The scaling factors and numerical models are exactly the same as ‘MⅡ (VMB)’ in
Section 3.1.1, except for the elastic modulus in the y direction. When
increases from 1/4 to 4, the average error of strain components
,
and
on the time field is shown in
Figure 10. It can be seen that, when the absolute value of
gets further away from 1, the average error of the strain
and
increases significantly, while the average error of the strain
is smaller. In contrast, the strain
has the largest similarity error, even reaching 62% for
. Therefore, by designing optimal similarity material to control the value of
(such as
), the similarity loss caused by shear modulus can be significantly reduced.
(3) The technique MI is easier to get good similarity.
In the results analysis in
Section 3.1.2, the similarity of MI is significantly better than that of MⅡ. For IM7, E-glass and Steel,
1.39, 1.50, 2.35 and
1.3, 3.9, 7.3, respectively. In terms of the Poisson’s ratio
, the scaling technique MⅡ has a larger geometric width distortion capacity and therefore causes greater damage to similarity of the impact plates in
Figure 2. The main reason for this phenomenon is that the width distortion of the technique MⅡ is proportional to the 1/2 power of material parameter ratio rather than the 1/4 power of the technique MI. Therefore, the width distortion of the method MⅡ is more sensitive to the value of material parameter ratio and more likely to cause serious distortion. This difference can be further verified by the values of
and
. When the technique MⅡ is used for IM7, E-glass and Steel, the difference between
and
is intuitively greater than that between
and
, which may also lead to greater similarity error.
In addition, another potential advantage of using the technique MI over the technique MⅡ is when scaled model and full-size prototype use different isotropic elastic materials. In this case, the technique MI naturally degenerates into the geometric similarity with
, while the technique MⅡ may still maintain the width distortion
if
. This means that use of the technique MⅡ will lose some similarity due to width distortion. Recall that, Ref. [
28] takes the stiffness coefficients in the x direction and the x-y plane as the dominant material parameters at incomplete similarity of anisotropic elasticity, which is similar to the scaling technique MⅡ in this paper. The above analysis also indicates that compared with Ref. [
28], the scaling technique MI proposed in this paper have better similarity.