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Word cloudA word cloud is a visual representation of the most frequently used words in a text or a set of texts. The words appear in different sizes, with the size of each word being proportional to its frequency of occurrence in the text. The more frequently a word is used, the larger it appears in the word cloud. This technique allows for a quick visualization of the most important themes and concepts in a text.
In the context of this page, the word cloud was generated from the publications of the author {}. The words in this cloud come from the titles, abstracts, and keywords of the author's articles and research papers. By analyzing this word cloud, you can get an overview of the most recurring and significant topics and research areas in the author's work.
The word cloud is a useful tool for identifying trends and main themes in a corpus of texts, thus facilitating the understanding and analysis of content in a visual and intuitive way.
Carrasco, S., Cantor, D., Ovalle, C., & Dubois, F. (2025). Particle shape distribution effects on the critical strength of granular materials. Computers and Geotechnics, 177, 12 pages. External link
Carrasco, S., Cantor, D., & Ovalle, C. (2024, November). Effects of grain size and shape distributions on the critical strength of granular materials: a DEM study [Estudio DEM sobre el efecto de la dispersión de tamaño y forma de partículas en la resistencia critica de materiales granulares]. [Paper]. 17th Pan-American Conference on Soil Mechanics and Geotechnical Engineering (PCSMGE 2024), La Serena, Chile (6 pages). External link
Carrasco, S., Cantor, D., Ovalle, C., & Quiroz-Rojo, P. (2023). Shear strength of angular granular materials with size and shape polydispersity. Open Geomechanics, 4, 1-14. Available
Carrasco, S., Cantor, D., & Ovalle, C. (2023, September). Coupled effects of particle size and shape polydispersity on the mechanical behavior of granular media [Poster]. 9th International Conference on Discrete Element Methods (DEM 2023), Erlangen, Germany. External link
Carrasco, S., Cantor, D., & Ovalle, C. (2022). Effects of particle size-shape correlations on steady shear strength of granular materials: The case of particle elongation. International Journal for Numerical and Analytical Methods in Geomechanics, 46(5), 979-1000. External link
Carrasco, S., Quiroz-Rojo, P., Cantor, D., & Ovalle, C. (2022, August). Effets de la corrélation entre les tailles et les formes des grains sur la résistance au cisaillement des matériaux granulaires [Paper]. 25ème Congrès Français de Mécanique, Nantes, France. External link
Huillca, Y., Silva, M., Ovalle, C., Quezada, J. C., Carrasco, S., & Villavicencio, G. E. (2021). Modelling size effect on rock aggregates strength using a DEM bonded-cell model. ACTA Geotechnica, 16(3), 699-709. External link
