Abstract
Triaxial tests have been widely used to evaluate soil behaviors. In the past few decades, several methods have been developed to measure the volume changes of unsaturated soil specimens during triaxial tests. Literature review indicates that until now it remains a major challenge for researchers to measure the volume changes of unsaturated soil specimens during triaxial testing. This paper presents a non-contact method to measure the total and local volume changes of unsaturated soil specimens using a conventional triaxial test apparatus for saturated soils. The method is simple and cost-effective, requiring only a commercially available digital camera to take images of an unsaturated soil specimen during triaxial testing from which accurate 3D model of the soil specimen is reconstructed. In this proposed method, the photogrammetric technique is utilized to determine the orientations of the camera where the images are taken and the shape and location of the acrylic cell, multiple optical ray tracings are employed to correct the refraction at the air-acrylic cell and acrylic cell–water interfaces, and a least-square optimization technique is applied to estimate the coordinates of any point on the specimen surface. The paper first discusses the theoretical aspects of the proposed method. An image analysis on a caliper was then used to evaluate the accuracy of photogrammetric analysis in the air. A series of isotropic compression tests on a stainless steel cylinder were used to demonstrate the procedure and evaluate the accuracy of the proposed method, while triaxial shearing tests on a saturated sand specimen were used to exam the capacity of the proposed method for measuring the total and localized volume changes during triaxial testing. Results obtained from the validation tests indicate that the accuracy for the photogrammetry in the air is about 10 µm. The average accuracy for single point measurements in the triaxial tests ranges from 0.056 to 0.076 mm with standard deviations varying from 0.033 to 0.061 mm. The accuracy for total volume measurements is better than 0.25 %.
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Abbreviations
- \( x_{I}^{{\prime }} ,y_{I}^{{\prime }} \) :
-
Coordinates of the image point I in the physical coordinate system of x’Ay’ (mm),
- \( F_{x} ,F_{y} \) :
-
Format sizes of the camera image sensor in x and y directions (mm),
- \( m_{I} ,n_{I} \) :
-
Coordinates of the image point I the pixel coordinate system mAn (pixel),
- \( M,N \) :
-
Total pixel numbers of the camera image sensor in x’ and y’ directions (pixel),
- \( x_{I}^{{}} ,y_{I}^{{}} ,z_{I}^{{}} \) :
-
x, y, and z coordinates of point I in the local coordinate system (xyz) (mm), subscript “I” represents the coordinates are associated with point I,
- F :
-
Perpendicular distance between the pinhole and the image plane (equivalent to focus length of the camera) (mm),
- \( P_{x} ,P_{y} \) :
-
Coordinates of principal point in the physical coordinate system of x’Ay’ (mm),
- \( \kappa ,\omega ,\varphi \) :
-
Three rotation angles from one coordinate system to another,
- R :
-
Rotation matrix defined by the three rotation angles,
- \( X_{s} ,Y_{s} ,Z_{s} \) :
-
Coordinates of a perspective center in global coordinate system,
- \( X_{I}^{{}} ,Y_{I}^{{}} ,Z_{I}^{{}} \) :
-
x, y, and z coordinates of point I in the global coordinate system,
- A, B, C :
-
Regression coefficients to determine the shape of the acrylic cell wall,
- \( X_{R} ,Y_{R} ,Z_{R} \) :
-
Coordinates of the center of the acrylic cell in the global coordinate system,
- \( \vec{i} \) :
-
Incident ray,
- \( \alpha_{a} ,\beta_{a} ,\gamma_{a} \) :
-
Direction cosine of an optical ray,
- \( d_{i} \) :
-
Travel distance of an optical ray,
- \( \overrightarrow {{n_{i} }} \) :
-
Unit vector of the normal,
- \( \overrightarrow {{r_{i} }} \) :
-
Unit vector for a refractive ray,
- \( a_{i} ,b_{i} ,c_{i} \) :
-
Coefficients for determination of \( d_{i} \),
- \( X_{D} ,Y_{D} ,Z_{D} \) :
-
Coordinates of an intercept point on the outer surface of acrylic cell wall in the global coordinate system,
- \( X_{C} ,Y_{C} ,Z_{C} \) :
-
Coordinates of an intercept point on the inner surface of acrylic cell wall in the global coordinate system
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Appendix
Appendix
1.1 Derivation of the Snell’s law in the 3D space
The scalar form of the Snell’s law is normally expressed as follows [41]:
where \( n_{1} \,{\text{and}}\,n_{2} \) = refraction indices for two media, and \( \theta_{1} \,{\text{and}}\,\theta_{2} \) = incident and refraction angles with respect to the normal at the refractive boundary.
In the proposed method, incident and refractive rays are often expressed as vectors in 3D space. As a result, it is more convenient to use the vector form of Snell’s law. Its derivations are as follows:\( \overrightarrow {i} \) and \( \overrightarrow {r} \) are unit directional vectors in space for the incident and refractive rays as shown in the Fig. 20, respectively. \( \overrightarrow {n} \) is the surface normal to the refractive boundary at the intersection point and also a unit directional vector pointing to the side of the incident ray. To facilitate the discussion, both \( \overrightarrow {i} \) and \( \overrightarrow {r} \) are first resolved into two components: one is parallel to n and the other is perpendicular to n.
where subscripts “\( \bot \)” and “\( \parallel \)” represents direction parallel to and perpendicular to \( \overrightarrow {n} \), respectively.
It is worth noting that \( \theta_{1} \,{\text{and}}\,\theta_{2} \) are scalars and have ranges from 0 to 90°. Consequently, the following relationships exist:
Both \( \overrightarrow {{i_{ \bot } }} {\text{ and }}\overrightarrow {{r_{ \bot } }} \) are parallel to \( \overrightarrow {n} \) but with opposite direction; therefore, they can be expressed as follows:
Combining Eqs. 32 and 36, one has
\( \overrightarrow {{i_{\parallel } }} {\text{ and }}\overrightarrow {{r_{\parallel } }} \) are also parallel to each other. Therefore,
Plugging Eqs. 31 and 34 into Eq. 40, one has
Combining Eqs. 31, 34, and 38, one has
Substituting Eqs. 40 and 41 into Eq. 33 yields:
Equation 43 requires four inputs to calculate the unit vector for the refractive ray \( \overrightarrow {r} \): \( \overrightarrow {i} \), \( \overrightarrow {n} \), \( n_{1} \,{\text{and}}\,n_{2} \).
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Zhang, X., Li, L., Chen, G. et al. A photogrammetry-based method to measure total and local volume changes of unsaturated soils during triaxial testing. Acta Geotech. 10, 55–82 (2015). https://doi.org/10.1007/s11440-014-0346-8
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DOI: https://doi.org/10.1007/s11440-014-0346-8