Technical Papers
Mar 18, 2016

DEM Simulation of Uniaxial Compressive and Flexural Strength of Sea Ice: Parametric Study

Publication: Journal of Engineering Mechanics
Volume 143, Issue 1

Abstract

Microscale parameters have significant influence on the macromechanical behaviors of brittle materials in the discrete-element method (DEM). The rational determination of microparameters is still an open problem to model the failure characteristics of brittle materials. In this study, a three-dimensional DEM with bonded-particles is adopted to simulate the failure process of brittle materials. Interparticle friction and softening failure criteria are applied in the DEM simulations. The physical experimental data of sea ice are adopted to calibrate the DEM results. The influences of the interparticle friction coefficient and the bonding strength of bonded particles on the failure processes of sea ice are analyzed with the DEM simulations of the uniaxial compressive and flexural strengths of sea ice. The ratio of uniaxial compressive to flexural strength is used to calibrate the interparticle strengths and friction coefficient of bonded particles in comparison with experimental data. The relationship between interparticle strength and macrostrength are determined based on the DEM results.

Get full access to this article

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

Acknowledgments

This study is financially supported by the Special Funding for National Marine Commonwealth Industry of China (Grant Nos. 201105016, 201205007), the National Natural Science Foundation of China (Grant Nos. 41176012, 11372067), and the Fundamental Research Funds for the Central Universities (DUT15ZD105).

References

Ali, A. Y., and Bradshaw, S. M. (2010). “Bonded-particle modelling of microwave-induced damage in ore particles.” Miner. Eng., 23(10), 780–790.
Azevedo, N., Candeias, M., and Gouveia, F. (2015). “A rigid particle model for rock fracture following the Voronoi tessellation of the grain structure: Formulation and validation.” Rock Mech. Rock Eng., 48(2), 535–557.
Brown, N. J., Chen, J. F., and Ooi, J. Y. (2014). “A bond model for DEM simulation of cementitious materials and deformable structures.” Granular Matter, 16(3), 299–311.
Cho, N., Martin, C. D., and Sego, D. C. (2007). “A clumped particle model for rock.” Int. J. Rock Mech. Min. Sci., 44(7), 997–1010.
Ding, X., Zhang, L., Zhu, H., and Zhang, Q. (2014). “Effect of model scale and particle size distribution on PFC3D simulation results.” Rock Mech. Rock Eng., 47(6), 2139–2156.
Ergenzinger, C., Seifried, R., and Eberhard, P. (2012). “A discrete element model predicting the strength of ballast stones.” Comput. Struct., 108/109, 3–13.
Estay, D. A., and Chiang, L. E. (2013). “Discrete crack model for simulating rock comminution processes with the discrete element method.” Int. J. Rock Mech. Min. Sci., 60, 125–133.
Feng, Y. T., and Owen, D. R. J. (2014). “Discrete element modelling of large scale particle systems-I: Exact scaling laws.” Comput. Particle Mech., 1(2), 159–168.
Grof, Z., and Stepanek, F. (2013). “Distribution of breakage events in random packings of rodlike particles.” Phys. Rev. E, 88(1), 012205.
Hanley, K. J., O’sullivan, C., Oliveira, J. C., Cronin, K., and Byrne, E. P. (2011). “Application of Taguchi methods to DEM calibration of bonded agglomerates.” Powder Technol., 210(3), 230–240.
Hashemi, S. S., Momeni, A. A., and Melkoumian, N. (2014). “Investigation of borehole stability in poorly cemented granular formations by discrete element method.” J. Pet. Sci. Eng., 113, 23–35.
Hentz, S. D., Daudeville, L., and Donze, F. V. (2004). “Identification and validation of a discrete element model for concrete.” J. Eng. Mech., 709–719.
Hosseininia, E. S., and Mirghasemi, A. A. (2007). “Effect of particle breakage on the behavior of simulated angular particle assemblies.” China Particuology, 5(5), 328–336.
Huang, J., Xu, S., and Hu, S. (2014). “Influence of particle breakage on the dynamic compression responses of brittle granular materials.” Mech. Mater., 68, 15–28.
Ji, S., Wang, A., Jie, S., and Yue, Q., (2011). “Experimental studies on elastic modulus and flexural strength of sea ice in the Bohai Sea.” J. Cold Reg. Eng., 182–195.
Kuhn, M. R., and Bagi, K. (2009). “Specimen size effect in discrete element simulations of granular assemblies.” J. Eng. Mech., 485–492.
Lisjak, A., and Grasselli, G. (2014). “A review of discrete modeling techniques for fracturing processes in discontinuous rock masses.” J. Rock Mech. Geotech. Eng., 6(4), 301–314.
Liu, C., Pollard, D. D., and Shi, B. (2013). “Analytical solutions and numerical tests of elastic and failure behaviors of close-packed lattice for brittle rocks and crystals.” J. Geophys. Res. Solid Earth, 118(1), 71–82.
Liu, Y., You, Z., and Zhao, Y., (2012). “Three-dimensional discrete element modeling of asphalt concrete: Size effects of elements.” Constr. Build. Mater., 37, 775–782.
Metzger, M. J., and Glasser, B. J. (2012). “Numerical investigation of the breakage of bonded agglomerates during impact.” Powder Technol., 217, 304–314.
Nitka, M., and Tejchman, J., (2015). “Modelling of concrete behaviour in uniaxial compression and tension with DEM.” Granular Matter, 17(1), 145–164.
Onate, E., and Rojek, J. (2004). “Combination of discrete element and finite element methods for dynamic analysis of geomechanics problems.” Comput. Methods Appl. Mech. Eng., 193, 3087–3128.
Paavilainen, J., Tuhkuri, J., and Polojarvi, A. (2011). “2D numerical simulations of ice rubble formation process against an inclined structure.” Cold Reg. Sci. Technol., 68(1–2), 20–34.
Park, J. W., and Song, J. J. (2009). “Numerical simulation of a direct shear test on a rock joint using a bonded-particle model.” Int. J. Rock Mech. Min. Sci., 46(8), 1315–1328.
Park, J. W., and Song, J. J. (2013). “Numerical method for the determination of contact areas of a rock joint under normal and shear loads.” Int. J. Rock Mech. Min. Sci., 58, 8–22.
Potyondy, D. O., and Cundall, P. A. (2004). “A bonded-particle model for rock.” Int. J. Rock Mech. Min. Sci., 41(8), 1329–1364.
Renshaw, C. E., Golding, N., and Schulson, E. M. (2014). “Maps for brittle and brittle-like failure in ice.” Cold Reg. Sci. Technol., 97, 1–6.
Rojek, J., Onate, E., Labra, C., and Kargl, H., (2011). “Discrete element simulation of rock cutting.” Int. J. Rock Mech. Min. Sci., 48(6), 996–1010.
Scholtes, L., and Donze, F.-V. (2012). “Modelling progressive failure in fractured rock masses using a 3D discrete element method.” Int. J. Rock Mech. Min. Sci., 52, 18–30.
Tarokh, A., and Fakhimi, A. (2014). “Discrete element simulation of the effect of particle size on the size of fracture process zone in quasi-brittle materials.” Comput. Geotech., 62, 51–60.
Tavarez, F. A., and Plesha, M. E. (2007). “Discrete element method for modelling solid and particulate materials.” Int. J. Numer. Methods Eng., 70(4), 379–404.
Timco, G. W., and Weeks, W. F. (2010). “A review of the engineering properties of sea ice.” Cold Reg. Sci. Technol., 60(2), 107–129.
van Wyk, G., Els, D. N. J., Akdogan, G., Bradshaw, S. M., and Sacks, N. (2014). “Discrete element simulation of tribological interactions in rock cutting.” Int. J. Rock Mech. Min. Sci., 65, 8–19.
Wang, Y. (2009). “A new algorithm to model the dynamics of 3-D bonded rigid bodies with rotations.” Acta Geotech., 4(2), 117–127.
Wang, Y., and Tonon, F. (2009). “Modeling Lac du Bonnet granite using a discrete element model.” Int. J. Rock Mech Min. Sci., 46(7), 1124–1135.
Wang, Y., and Tonon, F. (2010). “Calibration of a discrete element model for intact rock up to its peak strength.” Int. J. Numer. Anal. Methods Geomech., 34(5), 447–469.
Weerasekara, N. S., et al. (2013). “The contribution of DEM to the science of comminution.” Powder Technol., 248, 3–24.
Yan, Y., Zhao, J., and Ji, S. (2015). “Discrete element analysis of breakage of irregularly shaped railway ballast.” Geomech. Geoeng. Int. J., 10(1), 1–9.
Yang, B., Jiao, Y., and Lei, S. (2006). “A study on the effects of microparameters on macroproperties for specimens created by bonded particles.” Eng. Comput., 23(6), 607–631.
Yang, S. Q., Huang, Y. H., Jing, H. W., and Liu, X. R. (2014). “Discrete element modeling on fracture coalescence behavior of red sandstone containing two unparallel fissures under uniaxial compression.” Eng. Geol., 178, 28–48.

Information & Authors

Information

Published In

Go to Journal of Engineering Mechanics
Journal of Engineering Mechanics
Volume 143Issue 1January 2017

History

Received: Apr 19, 2015
Accepted: Jul 17, 2015
Published online: Mar 18, 2016
Discussion open until: Aug 18, 2016
Published in print: Jan 1, 2017

Permissions

Request permissions for this article.

Authors

Affiliations

Shunying Ji, Aff.M.ASCE [email protected]
Professor, State Key Laboratory of Structural Analysis for Industrial Equipment, Dalian Univ. of Technology, Dalian 116023, China (corresponding author). E-mail: [email protected]
Shaocheng Di
Doctoral Student, Dept. of Engineering Mechanics, Dalian Univ. of Technology, Dalian 116023, China.
Xue Long
Doctoral Student, Dept. of Engineering Mechanics, Dalian Univ. of Technology, Dalian 116023, China.

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.

Cited by

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