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Nondestructive volumetric quantification of irregular shaped soil samples using close-range photogrammetry

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Abstract

The main purpose of this study is to introduce a noncontact and nondestructive methodology to determine the volumetric properties of irregular shaped bulk soil specimens using close-range photogrammetry. To this accomplishment, 3D models of soil specimens were reconstructed by using a computational technique called Structure from Motion (SfM). This technique uses multiple overlapping photos of the same object from different perspectives to generate a 3D reconstruction. A cylindrical shaped calibration object was produced by a high precision mechanical lathe tool for the evaluation of the accuracy of the proposed technique. The SfM method and the Archimedes test setup were verified for regular shaped solid calibration object by obtaining 0.020% and 0.051% relative errors in volume with respect to production dimensions. In order to verify the proposed methodology, bulk soil specimens were prepared by compacting soils from three different soil classes with two different energy levels. The compacted soils were broken into pieces and irregular shaped bulk soil specimens were obtained. Volumes were measured through photogrammetric and conventional technique. Inevitably, paraffin wax coating was used for the bulk soil specimens for the Archimedes method, and drawbacks were experienced. Volume and bulk density comparisons of irregular shaped bulk soil specimens were made between the Archimedes displacement method and the proposed one. The errors for the bulk specimens are experienced slightly higher than that of the calibration object. This is attributed to the discrepancies originated from the paraffin wax, in this study.

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References

  1. Cornelis WM, Corluy J, Medina H, Diaz J, Hartmann R, Van Meirvenne M, Ruiz ME (2006) Measuring and modelling the soil shrinkage characteristic curve. Geoderma 137(1–2):179–191. https://doi.org/10.1016/j.geoderma.2006.08.022

    Article  Google Scholar 

  2. ASTM D7263–09 (2018) Standard test methods for laboratory determination of density unit weight of soil specimens ASTM. Int West Conshohocken. https://doi.org/10.1520/D7263-09R18E02

    Article  Google Scholar 

  3. Stewart RD, Abou Najm MR, Rupp DE, Selker JS (2012) An image-based method for determining bulk density and the soil shrinkage curve. Soil Sci Soc Am J 76(4):1217–1221. https://doi.org/10.2136/sssaj2011.0276n

    Article  Google Scholar 

  4. da Fonseca AV, Pineda J (2017) Getting high-quality samples in sensitive’soils for advanced laboratory tests. Innov Infrastr Solut 2(1):34. https://doi.org/10.1007/s41062-017-0086-3

    Article  Google Scholar 

  5. Gonzalez RC, Woods RE (2002) Digital image processing, 2nd edn. Pearson Education Inc, Upper Saddle River, New Jersey

    Google Scholar 

  6. Puppala AJ, Katha B, Hoyos LR (2004) Volumetric shrinkage strain measurements in expansive soils using digital imaging technology. Geotech Test J 27(6):547–556. https://doi.org/10.1520/gtj12069

    Article  Google Scholar 

  7. Ören AH, Önal O, Özden G, Kaya A (2006) Nondestructive evaluation of volumetric shrinkage of compacted mixtures using digital image analysis. Eng Geol 85(3–4):239–250. https://doi.org/10.1016/j.enggeo.2006.02.008

    Article  Google Scholar 

  8. Gapak Y, Das G, Yerramshetty U, Bharat TV (2017) Laboratory determination of volumetric shrinkage behavior of bentonites: a critical appraisal. Appl Clay Sci 135:554–566. https://doi.org/10.1016/j.clay.2016.10.038

    Article  Google Scholar 

  9. Moret-Fernández D, Latorre B, Peña C, González-Cebollada C, López MV (2016) Applicability of the photogrammetry technique to determine the volume and the bulk density of small soil aggregates. Soil Res 54(3):354–359. https://doi.org/10.1071/sr15163

    Article  Google Scholar 

  10. Porter ST, Roussel M, Soressi M (2016) A simple photogrammetry rig for the reliable creation of 3D artifact models in the field: lithic examples from the Early Upper Paleolithic sequence of Les Cottés (France). Adv Archaeol Pract 4(1):71–86. https://doi.org/10.7183/2326-3768.4.1.71

    Article  Google Scholar 

  11. Zhang X, Li L (2018) A new approach to measure soil shrinkage curve. Geotech Test J. https://doi.org/10.1520/GTJ20150237A

    Article  Google Scholar 

  12. ASTM D698–12e2 (2012) Standard test methods for laboratory compaction characteristics of soil using standard effort (12400 ft-lbf/ft3 (600 kN-m/m3)). ASTM Int West Conshohocken. https://doi.org/10.1520/D0698-12E02

    Article  Google Scholar 

  13. Mousavi V, Khosravi M, Ahmadi M, Noori N, Haghshenas S, Hosseininaveh A, Varshosaz M (2018) The performance evaluation of multi-image 3D reconstruction software with different sensors. Measurement 120:1–10. https://doi.org/10.1016/j.measurement.2018.01.058

    Article  Google Scholar 

  14. ASTM D1557–12e1 (2012) Standard test methods for laboratory compaction characteristics of soil using modified effort (56000 ft-lbf/ft3 (2700 kN-m/m3)). ASTM Int, West Conshohocken PA. https://doi.org/10.1520/D1557-12E01

    Article  Google Scholar 

  15. Tinjum JM, Benson CH, Blotz LR (1997) Soil-water characteristic curves for compacted clays. J Geotech Geoenviron Eng 123(11):1060–1069. https://doi.org/10.1061/(ASCE)1090-0241(1997)123:11(1060)

    Article  Google Scholar 

  16. Gharehaghajlou A, Önal O (2018) A parametric study on the bulk density determination of soil specimens using close-range photogrammetry. İzmir-Çeşme: 13th International Congress on Advances in Civil Engineering, 12–14 September 2018, Izmir/TURKEY

  17. Matthews NA (2008) Aerial and close-range photogrammetric technology: providing resource documentation, interpretation, and preservation. US Department of the Interior, Bureau of Land Management

    Google Scholar 

  18. Uysal M, Toprak AS, Polat N (2015) DEM generation with UAV Photogrammetry and accuracy analysis in Sahitler hill. Measurement 73:539–543. https://doi.org/10.1016/j.measurement.2015.06.010

    Article  Google Scholar 

  19. Agüera-Vega F, Carvajal-Ramírez F, Martínez-Carricondo P (2017) Assessment of photogrammetric mapping accuracy based on variation ground control points number using unmanned aerial vehicle. Measurement 98:221–227. https://doi.org/10.1016/j.measurement.2016.12.002

    Article  Google Scholar 

  20. Westoby MJ, Brasington J, Glasser NF, Hambrey MJ, Reynolds JM (2012) ‘Structure-from-Motion’photogrammetry: a low-cost, effective tool for geoscience applications. Geomorphology 179:300–314. https://doi.org/10.1016/j.geomorph.2012.08.021

    Article  Google Scholar 

  21. Lowe, D. G. (1999). Object recognition from local scale-invariant features. In Computer vision, 1999. The proceedings of the seventh IEEE international conference on (Vol. 2, pp. 1150-1157). Ieee. https://doi.org/10.1109/iccv.1999.790410

  22. Lowe DG (2004) Distinctive image features from scale-invariant keypoints. Int J Comput Vision 60(2):91–110. https://doi.org/10.1023/b:visi.0000029664.99615.94

    Article  Google Scholar 

  23. Freund, M. (1982). Paraffin products: properties, technologies, applications Vol. 14. Elsevier Science Limited. https://doi.org/10.1016/s0376-7361(08)x7008-6

  24. Riesen R, Widmann G (1984) Thermoanalyse. Hijthig, Heidelberg, Anwendungen, Begriffe, Methoden. https://doi.org/10.1002/food.19850290835

    Book  Google Scholar 

  25. Ukrainczyk N, Kurajica S, Šipušić J (2010) Thermophysical comparison of five commercial paraffin waxes as latent heat storage materials. Chem Biochem Eng Quar 24(2):129–137

    Google Scholar 

  26. Schimmelpfennig, M., Weber, K., Kalb, F., Feller, K. H., Butz, T., & Matthäi, M. (2007). Volume expansion of paraffins from dip tube measurements. Jahrbuch fuer den Praktiker, 417-429

  27. Garcia-Bengochea I, Altschaeffl AG, Lovell CW (1979) Pore distribution and permeability of silty clays. J Geotech Eng Div 105(7):839–856. https://doi.org/10.1520/stp28321s

    Article  Google Scholar 

  28. Acar, Y. B., & Olivieri, I. (1989). Pore fluid effects on the fabric and hydraulic conductivity of laboratory-compacted clay. Transportation Research Record, (1219)

  29. Benson CH, Daniel DE (1990) Influence of clods on the hydraulic conductivity of compacted clay. J Geotech Eng 116(8):1231–1248. https://doi.org/10.1061/(asce)0733-9410(1990)116:8(1231)

    Article  Google Scholar 

  30. Prapaharan S, White DM, Altschaeffl AG (1991) Fabric of field-and laboratory-compacted clay. J Geotech Eng 117(12):1934–1940. https://doi.org/10.1061/(asce)0733-9410(1991)117:12(1934)

    Article  Google Scholar 

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Correspondence to Okan Onal.

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Onal, O., Gharehaghajlou, A. Nondestructive volumetric quantification of irregular shaped soil samples using close-range photogrammetry. Innov. Infrastruct. Solut. 6, 94 (2021). https://doi.org/10.1007/s41062-021-00470-8

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