Anomalous behaviour of fine-grained transition soils from the San Cayetano Formation (Loja, Ecuador)
Identificadores
URI: https://hdl.handle.net/10481/99229Metadatos
Mostrar el registro completo del ítemAutor
Esparza, Carmen; Lamas Fernández, Francisco J.; Soto, John; Azañón Hernández, José Miguel; Ruano Roca, Patricia; Tamay, José; Martínez Moreno, Francisco José; Galindo Zaldívar, JesúsEditorial
Elsevier
Materia
Geotechnical characterization Stress-strain behavior Quasi-nonlinear model Finite element methods Ecuadorian Andes
Fecha
2024Referencia bibliográfica
Carmen Esparza, Francisco Lamas, John Soto, Jose Miguel Azañón, Patricia Ruano, José Tamay, Francisco José Martínez-Moreno, Jesús Galindo-Zaldívar, Anomalous behaviour of fine-grained transition soils from the San Cayetano Formation (Loja, Ecuador), Journal of South American Earth Sciences, Volume 140, 2024, 104922, ISSN 0895-9811, https://doi.org/10.1016/j.jsames.2024.104922. (https://www.sciencedirect.com/science/article/pii/S0895981124001445)
Resumen
Numerous landslides, either natural or produced by excavations in road works, occur in the intramontane Neogene Loja basin (southern Ecuadorian Andes) and can be associated with the clayey silts, low plasticity soils (ML). Thirty-two undisturbed samples from eight sites were tested in laboratory to characterize the stress-strain geotechnical soil response, showing a higher internal friction angle and higher cohesion with respect to the standard ML soil values. A testing profile of a road constructed on these soils has been modeled using finite element methods to calculate both the safety factor and the mechanism of evolution. Anomalous behavior is evidenced when a standard ML soil type is considered in the model, with a higher security factor than the less stable and more susceptible ML soils of Loja basin. Therefore, this contribution may serve as a warning to designers and engineers when constructing new structures on these soils. Additionally, it enables the identification of the most effective test for assessing high susceptibility in ML soils, contributing to the refinement and enhancement of methodological procedures during project execution.