journal article·2024-10Open access

Development of a novel testing concept for combined characterisation of tensile and compressive properties

Timo Bensing, Martin Moneke

Abstract

Abstract A novel material testing concept is developed in order to provide tensile and compressive properties within a single mechanical test. A new specimen geometry is designed for testing in a universal testing machine. Under tensile load, both a homogeneous tensile stress condition as well as a homogeneous compressive stress condition occur in the specimen. Measurements accompanying the experimental test with digital image correlation provide tensile and compressive Poisson’s ratio as well as tensile modulus. These properties are input parameters for subsequent finite element simulations. The compressive modulus is determined by iteratively adjusting finite element simulations in order to couple experimental and simulated results. For validating the concept, experimental tests are carried out on polyoxymethylene. While the tensile Poisson’s ratio of the new concept shows the best agreement with the reference value, the compressive modulus is approximately 15% higher. Further work should focus on an appropriate material model in order to reduce the deviation.
Source: crossref · Quality: baseline

Research context

OpenAlex topics: Optical measurement and interference techniques · Infrastructure Maintenance and Monitoring · Non-Destructive Testing Techniques

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

References (27)

Show source-provided references
1. Abanto-Bueno, J., Lambros, J.: Investigation of crack growth in functionally graded materials using digital image correlation. Eng. Fract. Mech. 69(14–16), 1695–1711 (2002). https://doi.org/10.1016/S0013-7944(02)00058-910.1016/S0013-7944(02)00058-9 ↗
2. Ali, H.B., Oleiwi, J.K., Othman, F.M.: Compressive and tensile properties of ABS material as a function of 3D printing process parameters. Rev. Compos. Matér. Avancés. 32(3), 117–123 (2022). https://doi.org/10.18280/rcma.32030210.18280/rcma.320302 ↗
3. Avril, S., Bonnet, M., Bretelle, A.-S., Grédiac, M., Hild, F., Ienny, P., Latourte, F., Lemosse, D., Pagano, S., Pagnacco, E., Pierron, F.: Overview of identification methods of mechanical parameters based on full-field measurements. Exp. Mech. 48(4), 381–402 (2008). https://doi.org/10.1007/s11340-008-9148-y10.1007/s11340-008-9148-y ↗
4. Bing, P., Hui-min, X., Tao, H., Asundi, A.: Measurement of coefficient of thermal expansion of films using digital image correlation method. Polym. Test. 28(1), 75–83 (2009). https://doi.org/10.1016/j.polymertesting.2008.11.00410.1016/j.polymertesting.2008.11.004 ↗
5. Chaitat, S., Chantarapanich, N., Wanchat, S.: Effects of the 3DP process parameters on mechanical properties of polylactic acid part used for medical purposes. Rapid Prototyp J 28(1), 143–160 (2022). https://doi.org/10.1108/RPJ-01-2021-001410.1108/RPJ-01-2021-0014 ↗
6. Grant, B.M.B., Stone, H.J., Withers, P.J., Preuss, M.: High-temperature strain field measurement using digital image correlation. J. Strain Anal. Eng. Des. 44(4), 263–271 (2009). https://doi.org/10.1243/03093247JSA47810.1243/03093247JSA478 ↗
7. Grytten, F., Daiyan, H., Polanco-Loria, M., Dumoulin, S.: Use of digital image correlation to measure large-strain tensile properties of ductile thermoplastics. Polym. Test. 28(6), 653–660 (2009). https://doi.org/10.1016/j.polymertesting.2009.05.00910.1016/j.polymertesting.2009.05.009 ↗
8. He, T., Liu, L., Makeev, A., Shonkwiler, B.: Characterization of stress–strain behavior of composites using digital image correlation and finite element analysis. Compos. Struct. 140, 84–93 (2016). https://doi.org/10.1016/j.compstruct.2015.12.01810.1016/j.compstruct.2015.12.018 ↗
9. Helfrick, M.N., Niezrecki, C., Avitabile, P., Schmidt, T.: 3D digital image correlation methods for full-field vibration measurement. Mech. Syst. Signal Process. 25(3), 917–927 (2011). https://doi.org/10.1016/j.ymssp.2010.08.01310.1016/j.ymssp.2010.08.013 ↗
10. Kananathan, J., Samykano, M., Kadirgama, K., Ramasamy, D., Rahman, M.M.: Comprehensive investigation and prediction model for mechanical properties of coconut wood–polylactic acid composites filaments for FDM 3D printing. Eur. J. Wood Prod. 80(1), 75–100 (2022). https://doi.org/10.1007/s00107-021-01768-110.1007/s00107-021-01768-1 ↗
11. Kim, K.-M., Shim, K.-B., Lum, C.: Predicting tensile and compressive moduli of structural lumber. Wood Fiber Sci. 43(1), 83–89 (2011)
12. Lecompte, D., Smits, A., Sol, H., Vantomme, J., van Hemelrijck, D.: Mixed numerical–Experimental technique for orthotropic parameter identification using biaxial tensile tests on cruciform specimens. Int. J. Solids Struct. 44(5), 1643–1656 (2007). https://doi.org/10.1016/j.ijsolstr.2006.06.05010.1016/j.ijsolstr.2006.06.050 ↗
13. Lin, Q., Labuz, J.F.: Fracture of sandstone characterized by digital image correlation. Int. J. Rock Mech. Min. Sci. 60, 235–245 (2013). https://doi.org/10.1016/j.ijrmms.2012.12.04310.1016/j.ijrmms.2012.12.043 ↗
14. Liu, L., Li, H., Li, X., Di, Wu., Zhang, G.: Underlying mechanisms of crack initiation for granitic rocks containing a single pre-existing flaw: insights from digital image correlation (DIC) analysis. Rock Mech. Rock Eng. 54(2), 857–873 (2021). https://doi.org/10.1007/s00603-020-02286-x10.1007/s00603-020-02286-x ↗
15. Mazzanti, P., Caporossi, P., Muzi, R.: Sliding time master digital image correlation analyses of cubesat images for landslide monitoring: the Rattlesnake hills landslide (USA). Remote Sens. 12(4), 592 (2020). https://doi.org/10.3390/rs1204059210.3390/rs12040592 ↗
16. Miao, S., Pan, P.-Z., Yu, P., Zhao, S., Shao, C.: Fracture analysis of Beishan granite after high-temperature treatment using digital image correlation. Eng. Fract. Mech. 225, 106847 (2020). https://doi.org/10.1016/j.engfracmech.2019.10684710.1016/j.engfracmech.2019.106847 ↗
17. Moazzami, M., Ayatollahi, M.R., Akhavan-Safar, A.: Assessment of the fracture process zone in rocks using digital image correlation technique: the role of mode-mixity, size, geometry and material. Int. J. Damage Mech. 29(4), 646–666 (2020). https://doi.org/10.1177/105678951987133410.1177/1056789519871334 ↗
18. Molimard, J.: Identification of the four orthotropic plate stiffnesses using a single open-hole tensile test. Exp. Mech. 45(5), 404–411 (2005). https://doi.org/10.1177/001448510505775710.1177/0014485105057757 ↗
19. Mujika, F., Carbajal, N., Arrese, A., Mondragon, I.: Determination of tensile and compressive moduli by flexural tests. Polym. Test. 25(6), 766–771 (2006). https://doi.org/10.1016/j.polymertesting.2006.05.00310.1016/j.polymertesting.2006.05.003 ↗
20. Mutyala, R.S., Park, K., Günay, E.E., Kim, G., Lau, S., Jackman, J., Okudan Kremer, G.E.: Effect of FFF process parameters on mechanical strength of CFR-PEEK outputs. Int. J. Interact. Des. Manuf. 16(4), 1385–1396 (2022). https://doi.org/10.1007/s12008-022-00944-810.1007/s12008-022-00944-8 ↗
21. Navaratnam, S., Ngo, T., Christopher, P., Linforth, S.: The use of digital image correlation for identifying failure characteristics of cross-laminated timber under transverse loading. Measurement 154, 107502 (2020). https://doi.org/10.1016/j.measurement.2020.10750210.1016/j.measurement.2020.107502 ↗
22. Ngeljaratan, L., Moustafa, M.A.: Structural health monitoring and seismic response assessment of bridge structures using target-tracking digital image correlation. Eng. Struct. 213, 110551 (2020). https://doi.org/10.1016/j.engstruct.2020.11055110.1016/j.engstruct.2020.110551 ↗
23. Pan, Z., Huang, S., Su, Y., Qiao, M., Zhang, Q.: Strain field measurements over 3000 °C using 3D-digital image correlation. Opt. Lasers Eng. 127, 105942 (2020). https://doi.org/10.1016/j.optlaseng.2019.10594210.1016/j.optlaseng.2019.105942 ↗
24. Pottier, T., Toussaint, F., Vacher, P.: Contribution of heterogeneous strain field measurements and boundary conditions modelling in inverse identification of material parameters. Eur. J. Mech. a. Solids 30(3), 373–382 (2011). https://doi.org/10.1016/j.euromechsol.2010.10.00110.1016/j.euromechsol.2010.10.001 ↗
25. Røhl, L., Larsen, E., Linde, F., Odgaard, A., Jørgensen, J.: Tensile and compressive properties of cancellous bone. J. Biomech. 24(12), 1143–1149 (1991). https://doi.org/10.1016/0021-9290(91)90006-910.1016/0021-9290(91)90006-9 ↗
26. Rudawska, A., Frigione, M.: Effect of diluents on mechanical characteristics of epoxy compounds. Polymers (2022). https://doi.org/10.3390/polym1411227710.3390/polym14112277 ↗
27. Skarżyński, Ł: Mechanical and radiation shielding properties of concrete reinforced with boron-basalt fibers using digital image correlation and X-ray micro-computed tomography. Constr. Build. Mater. 255, 119252 (2020). https://doi.org/10.1016/j.conbuildmat.2020.11925210.1016/j.conbuildmat.2020.119252 ↗