Technical Papers
Jun 28, 2024

Experimental and Numerical Study of the Uniaxial Compressive Strength of Ice with Initial Fibrous Pore: Effects of Temperature and Loading Rate

Publication: Journal of Cold Regions Engineering
Volume 38, Issue 3

Abstract

Ice compressive strength is a key property for investigating the interaction between ice and structures. In this research, a digital image correlation (DIC) technique is developed to measure the complete deformation range of ice samples in uniaxial compression tests that were conducted at different temperatures and loading rates. This method overcomes the limitations of traditional deformation measurement techniques, such as low accuracy and single-point measurements. The ice specimens are generated with initial fibrous pores instead of sphere pores for simulation. This innovative method enables the shear and splitting failure modes to be captured, which are consistent with the test results in this research. The experiments and numerical simulations reveal that the compressive strength increases when the temperature decreases and the loading rate increases. In contrast, the maximum strain decreases with lower temperatures and higher loading rates. This research introduces a novel numerical simulation procedure to study compressive ice deformation and offers experimental approaches for real-time and noncontact measurement of ice deformation at low loading rates.

Practical Applications

In this research, several experiments are conducted at three different temperatures (−25°C, −30°C, and −35°C) and loading rates (1, 3, and 5 mm/min). The experimental observations reveal that varying failure modes depend on the strain rate. In addition, a correlation between the compressive strength, temperature, and strain rate is confirmed. In addition, this research investigates the application of digital image technology (DIC) for the real-time and noncontact measurement of ice deformation. The use of noncontact strain measurement technology overcomes the limitations of traditional deformation measurement methods. In addition, noncontact measurements could improve the precision and dependability of ice deformation monitoring and provide more accurate observations and a better understanding of ice behavior. In addition, it could be used in future applications in this field, which opens up new research possibilities concerning ice deformation. This new technique offers a valuable contribution to advancing ice deformation measurement research.

Get full access to this article

View all available purchase options and get full access to this article.

Data Availability Statement

All data, models, or codes that support the findings of this study are available from the corresponding author upon reasonable request.

Acknowledgments

This work was supported by the Jiangsu International Joint Research and Development Program (No. BZ2022010), the Project of Shandong Natural Science Foundation (No. ZR2022ME174), the National Natural Science Foundation of China for Young International Scientists (No. 52250410359), and the 2022 National Young Foreign Talents Program of China (No. QN2022143002L).

References

Aidi, B., M. K. Philen, and S. W. Case. 2015. “Progressive damage assessment of centrally notched composite specimens in fatigue.” Composites, Part A 74: 47–59. https://doi.org/10.1016/j.compositesa.2015.03.022.
Chen, Y. Y., K. L. Xiao, J. Z. Yue, Q. Y. Yin, X. Q. Wu, and C. G. Huang. 2021. “Atomistic study on the anomalous temperature-dependent dynamic tensile strength of ice under shock loading.” Philos. Mag. 101 (11): 1289–1304. https://doi.org/10.1080/14786435.2021.1895443.
Cox, G., and J. A. Richtermenge. 2015. “Triaxial compression testing of ice.” Chin. J. Manage. Sci. 18 (5): 34–39.
Cox, G. F. N., and J. A. Richter-Menge. 1988. “Confined compressive strength of multi-year pressure ridge sea ice samples.” J. Offshore Mech. Arct. Eng. 110 (3): 295–301. https://doi.org/10.1115/1.3257065.
Cundall, P. A., and O. D. L. Strack. 1979. “A discrete numerical model for granular assemblies.” Géotechnique 29 (1): 47–65. https://doi.org/10.1680/geot.1979.29.1.47.
Dong, B., C. Li, and B. Pan. 2019. “Ultrasensitive video extensometer using single-camera dual field-of-view telecentric imaging system.” Opt. Lett. 44 (18): 4499–4502. https://doi.org/10.1364/OL.44.004499.
Duddu, R., and H. Waisman. 2012. “A temperature dependent creep damage model for polycrystalline ice.” Mech. Mater. 46: 23–41. https://doi.org/10.1016/j.mechmat.2011.11.007.
Dutta, P. K., D. M. Cole, E. M. Schulson, and D. S. Sodhi. 2004. “A fracture study of ice under high strain rate loading.” Int. J. Offshore Polar Eng. 14 (3): 182–188.
Hild, F., and S. Roux. 2006. “Digital image correlation: From displacement measurement to identification of elastic properties - a review.” Strain 42 (2): 69–80. https://doi.org/10.1111/j.1475-1305.2006.00258.x.
Huang, X., Y. He, W. Zhou, D. Deng, and Y. Zhao. 2019. “Pore network modeling of fibrous porous media of uniform and gradient porosity.” Powder Technol. 343: 350–361. https://doi.org/10.1016/j.powtec.2018.11.022.
Ji, S., Z. Li, C. Li, and J. Shang. 2013. “Discrete element modeling of ice loads on ship hulls in broken ice fields.” Acta Oceanolog. Sin. 32 (11): 50–58. https://doi.org/10.1007/s13131-013-0377-2.
Jiang, S. D., H. Wang, Y. J. Huang, H. X. Shen, D. W. Xing, Z. L. Ning, and J. F. Sun. 2020. “Effect of strain rate on tensile behavior in amorphous fibers by an in-situ video extensometer system.” Mater. Sci. Eng., A 782: 139252. https://doi.org/10.1016/j.msea.2020.139252.
Jones, S. J. 2007. “A review of the strength of iceberg and other freshwater ice and the effect of temperature.” Cold Reg. Sci. Technol. 47 (3): 256–262. https://doi.org/10.1016/j.coldregions.2006.10.002.
Jones, S. J., R. E. Gagnon, A. Derradji, and A. Bugden. 2003. “Compressive strength of iceberg ice.” Can. J. Phys. 81 (1–2): 191–200. https://doi.org/10.1139/p02-137.
Kubat, I., M. Sayed, and A. Collins. 2010. “Modeling of pressured ice interaction with ships.” In Proc., 9th Int. Conf. and Exhibition on Performance of Ships and Structures in Ice, 154–159.
Lainey, L., and R. Tinawi. 1984. “The mechanical properties of sea ice—A compilation of available data.” Can. J. Civ. Eng. 11 (4): 884–923. https://doi.org/10.1139/l84-106.
Li, S., and D. Zhou. 2013. “Progressive failure constitutive model of fracture plane in geomaterial based on strain strength distribution.” Int. J. Solids Struct. 50 (3–4): 570–577. https://doi.org/10.1016/j.ijsolstr.2012.10.025.
Li, Z., Z. Xu, Q. Wang, and G. Li. 2018. “Experimental study on uniaxial compressive strength features of ice from Wuliangsuhai Lake.” [In Chinese.] Shuili Xuebao 49 (6): 662–669.
Li, Z., L. Zhang, P. Lu, M. Leppäranta, and G. Li. 2011. “Experimental study on the effect of porosity on the uniaxial compressive strength of sea ice in Bohai Sea.” Sci. China Technol. Sci. 54 (9): 2429–2436. https://doi.org/10.1007/s11431-011-4482-1.
Londono, J. G., L. Berger-Vergiat, and H. Waisman. 2016. “A Prony-series type viscoelastic solid coupled with a continuum damage law for polar ice modeling.” Mech. Mater. 98: 81–97. https://doi.org/10.1016/j.mechmat.2016.04.002.
Ning, S. K., Y. Y. Chen, and B. J. Ma. 2012. “A video extensometer design for the tensile strain test of fiber optic cable.” Appl. Mech. Mater. 271–272: 697–700. https://doi.org/10.4028/www.scientific.net/AMM.271-272.697.
Paul, R. M. 2021. “Application of a three-dimensional random pore model for thermal oxidation of synthetic graphite.” J. Nucl. Mater. 543: 152589. https://doi.org/10.1016/j.jnucmat.2020.152589.
Paul, R. M., J. D. Arregui-Mena, C. I. Contescu, and N. C. Gallego. 2022. “Effect of microstructure and temperature on nuclear graphite oxidation using the 3D Random Pore Model.” Carbon 191: 132–145. https://doi.org/10.1016/j.carbon.2022.01.041.
Paul, R. M., and J. E. Morral. 2018. “A 3D-Random pore model for the oxidation of graphite with closed porosity.” J. Nucl. Mater. 509: 425–434. https://doi.org/10.1016/j.jnucmat.2018.07.023.
Pernas-Sánchez, J., J. A. Artero-Guerrero, J. López-Puente, and D. Varas. 2018. “Numerical methodology to analyze the ice impact threat: Application to composite structures.” Mater. Des. 141: 350–360. https://doi.org/10.1016/j.matdes.2017.12.044.
Pernas-Sánchez, J., D. A. Pedroche, D. Varas, J. López-Puente, and R. Zaera. 2012. “Numerical modeling of ice behavior under high velocity impacts.” Int. J. Solids Struct. 49 (14): 1919–1927. https://doi.org/10.1016/j.ijsolstr.2012.03.038.
Renshaw, C. E., A. Murdza, and E. M. Schulson. 2021. “Experimental verification of the isotropic onset of percolation in 3D crack networks in polycrystalline materials with implications for the applicability of percolation theory to crustal rocks.” J. Geophys. Res.: Solid Earth 126 (12): e2021JB023092. https://doi.org/10.1029/2021JB023092.
Renshaw, C. E., E. M. Schulson, D. Iliescu, and A. Murzda. 2020. “Increased fractured rock permeability after percolation despite limited crack growth.” J. Geophys. Res.: Solid Earth 125 (8): e2019JB019240. https://doi.org/10.1029/2019JB019240.
Sayed, M., and A. Barker. 2011. “Numerical simulations of ice interaction with a moored structure.” In Proc., OTC Arctic Technology Conf. Houston, TX: Offshore Technology Conference.
Schulson, E. M. 2001. “Brittle failure of ice.” Eng. Fract. Mech. 68: 1839–1887. https://doi.org/10.1016/S0013-7944(01)00037-6.
Schwarz, J., R. Frederking, V. Gavrillo, I. G. Petrov, K.-I. Hirayama, M. Mellor, P. Tryde, and K. D. Vaudrey. 1981. “Standardized testing methods for measuring mechanical properties of ice.” Cold Reg. Sci. Technol. 4 (3): 245–253. https://doi.org/10.1016/0165-232X(81)90007-0.
Shazly, M., V. Prakash, and B. A. Lerch. 2009. “High strain-rate behavior of ice under uniaxial compression.” Int. J. Solids Struct. 46 (6): 1499–1515. https://doi.org/10.1016/j.ijsolstr.2008.11.020.
Sinha, N. K., C. Zhan, and E. Evgin. 1995. “Uniaxial constant compressive stress creep tests on sea ice.” J. Offshore Mech. Arct. Eng. 117 (4): 283–289.
Song, Z., L. Hou, D. Whisler, and G. Gao. 2020. “Mesoscopic numerical investigation of dynamic mechanical properties of ice with entrapped air bubbles based on a stochastic sparse distribution mechanism.” Compos. Struct. 236: 111834. https://doi.org/10.1016/j.compstruct.2019.111834.
Su, B., K. Riska, and T. Moan. 2010. “A numerical method for the prediction of ship performance in level ice.” Cold Reg. Sci. Technol. 60 (3): 177–188. https://doi.org/10.1016/j.coldregions.2009.11.006.
Su, B., K. Riska, and T. Moan. 2011. “Numerical simulation of local ice loads in uniform and randomly varying ice conditions.” Cold Reg. Sci. Technol. 65 (2): 145–159. https://doi.org/10.1016/j.coldregions.2010.10.004.
Sun, S., and H. H. Shen. 2012. “Simulation of pancake ice load on a circular cylinder in a wave and current field.” Cold Reg. Sci. Technol. 78: 31–39. https://doi.org/10.1016/j.coldregions.2012.02.003.
Timco, G. W., and W. F. Weeks. 2010. “A review of the engineering properties of sea ice.” Cold Reg. Sci. Technol. 60 (2): 107–129. https://doi.org/10.1016/j.coldregions.2009.10.003.
Wang, Z., W. Zhang, Q. Luo, G. Zheng, Q. Li, and G. Sun. 2020. “A novel failure criterion based upon forming limit curve for thermoplastic composites.” Composites, Part B 202: 108320. https://doi.org/10.1016/j.compositesb.2020.108320.
Wei, P., D. Zhuang, Y.-Y. Zheng, A. Zaoui, and W. Ma. 2022. “Temperature and pressure effect on tensile behavior of ice-Ih under low strain rate: A molecular dynamics study.” J. Mol. Liq. 355: 118945. https://doi.org/10.1016/j.molliq.2022.118945.
Yang, B., G. Zhang, Z. Huang, Z. Sun, and Z. Zong. 2020. “Numerical simulation of the ice resistance in pack ice conditions.” Int. J. Comput. Methods 17 (1): 1844005. https://doi.org/10.1142/S021987621844005X.
Yin, Q., L. Hu, X. Wu, K. Xiao, and C. Huang. 2019. “Temperature-dependent phase transformation of ice-1h under ultrafast uniaxial compression: A molecular dynamics simulation.” Comput. Mater. Sci 162: 340–348. https://doi.org/10.1016/j.commatsci.2019.03.013.
Yue, Q., B. Xiangjun, H. Maohuan, P. Wanwe, and G. Xiangqun. 1995. “Preliminary investigation of microcracks in laboratory prepared columnar ice during ductile-brittle transition.” [In Chinese.] J. Glaciol. Geo. 17 (Special Issue): 106–111.
Zhang, J.-P., and D. Zhou. 2021. “Numerical modeling for strain rate effect and size effect of ice under uniaxial tension and compression.” Commun. Nonlinear Sci. Numer. Simul. 96: 105614. https://doi.org/10.1016/j.cnsns.2020.105614.
Zhang, S., O. El Kerdi, R. A. Khurram, and W. G. Habashi. 2012. “FEM analysis of in-flight ice break-up.” Finite Elem. Anal. Des. 57: 55–66. https://doi.org/10.1016/j.finel.2012.03.005.
Zong, Z. 2022. “A random pore model of sea ice for predicting its mechanical properties.” Cold Reg. Sci. Technol. 195: 103473. https://doi.org/10.1016/j.coldregions.2021.103473.

Information & Authors

Information

Published In

Go to Journal of Cold Regions Engineering
Journal of Cold Regions Engineering
Volume 38Issue 3September 2024

History

Received: May 9, 2023
Accepted: Jan 2, 2024
Published online: Jun 28, 2024
Published in print: Sep 1, 2024
Discussion open until: Nov 28, 2024

Permissions

Request permissions for this article.

ASCE Technical Topics:

Authors

Affiliations

Huimin Han, Ph.D. [email protected]
College of Mechanics and Materials, Hohai Univ., 1 Xikang Rd., Nanjing, Jiangsu 210098, China. Email: [email protected]
Lei Shen, M.ASCE [email protected]
Associate Professor, College of Water Conservancy and Hydropower Engineering, Hohai Univ., 1 Xikang Rd., Nanjing, Jiangsu 210098, China. Email: [email protected]
Jingqiang Liu [email protected]
Associate Professor, College of Water Conservancy and Civil Engineering, Shandong Agricultural Univ., No. 61, Daizong St., Taian, Shandong 271000, China. Email: [email protected]
Associate Professor, College of Water Conservancy and Civil Engineering, Shandong Agricultural Univ., No. 61, Daizong St., Taian, Shandong 271000, China. Email: [email protected]
Dragoslav Sumarac, Ph.D. [email protected]
Dept. of Technical Sciences, Civil Engineering, State University of Novi Pazar, Vuka Karadzica bb, 36300 Novi Pazar, Serbia. Email: [email protected]
Maosen Cao, M.ASCE [email protected]
Professor, College of Mechanics and Materials, Hohai Univ., 1 Xikang Rd., Nanjing, Jiangsu 210098, China (corresponding author). Email: [email protected]

Metrics & Citations

Metrics

Citations

Download citation

If you have the appropriate software installed, you can download article citation data to the citation manager of your choice. Simply select your manager software from the list below and click Download.

View Options

Get Access

Access content

Please select your options to get access

Log in/Register Log in via your institution (Shibboleth)
ASCE Members: Please log in to see member pricing

Purchase

Save for later Information on ASCE Library Cards
ASCE Library Cards let you download journal articles, proceedings papers, and available book chapters across the entire ASCE Library platform. ASCE Library Cards remain active for 24 months or until all downloads are used. Note: This content will be debited as one download at time of checkout.

Terms of Use: ASCE Library Cards are for individual, personal use only. Reselling, republishing, or forwarding the materials to libraries or reading rooms is prohibited.
ASCE Library Card (5 downloads)
$105.00
Add to cart
ASCE Library Card (20 downloads)
$280.00
Add to cart
Buy Single Article
$35.00
Add to cart

Get Access

Access content

Please select your options to get access

Log in/Register Log in via your institution (Shibboleth)
ASCE Members: Please log in to see member pricing

Purchase

Save for later Information on ASCE Library Cards
ASCE Library Cards let you download journal articles, proceedings papers, and available book chapters across the entire ASCE Library platform. ASCE Library Cards remain active for 24 months or until all downloads are used. Note: This content will be debited as one download at time of checkout.

Terms of Use: ASCE Library Cards are for individual, personal use only. Reselling, republishing, or forwarding the materials to libraries or reading rooms is prohibited.
ASCE Library Card (5 downloads)
$105.00
Add to cart
ASCE Library Card (20 downloads)
$280.00
Add to cart
Buy Single Article
$35.00
Add to cart

Media

Figures

Other

Tables

Share

Share

Copy the content Link

Share with email

Email a colleague

Share