This book offers a glimpse of the geotechnical research activities at BOKU, Vienna, in 2023. The research topics are wide-ranged including laboratory testing, constitutive modelling, numerical simulations with DEM and SPH, landslide, tunnelling and machine learning. Many research activities are carried out by visiting scholars from China.
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A simple Hypoplastic model for sand under cyclic loading.- Failure mode and mechanism of the consequent slope in Xuan’en county.- Reliability Analysis of Slope Stability with Intelligent Surrogate Models: A Case Study in the Three Gorges Reservoir.- Experimental study on the permeability of hydrophobic powders treated loess.- Modelling and assessment of debris flow impact on infrastructure in the Carpathians.- On the performance of CAES pile in overconsolidated soils: a numerical study.- Experimental and numerical analysis of fluid-injection unloading rock failure process.- A visco-hypoplastic model with solid hardness degradation for granular soil.- Prediction of tunnelling-induced settlement trough by artificial neural networks.- Machine Learning prediction of bleeding of bored concrete piles based on centrifuge tests.- Stability Evaluation of Huangtupo Riverside slump I based on water-soil coupling.- Effect of different factors on dynamic shear modulus of compacted loess.- Unified description of viscous behaviors of clay and sand with a visco-hypoplastic model.- Experimental and numerical investigation on mechanical behaviour of gravel soils.- A basic hypoplastic model with fabric evolution.- Phase-field modelling brittle failure in rockslides.- Triggering mechanism and mitigation strategies of freeze-thaw landslides for engineering in cold regions: A review.- Mixture theory-based SPH model for soil-water coupling dynamic problems.- Assessing Slope Stability Based on Measured Data Coupled with PSO.¡Compre este libro electrónico y obtenga 1 más GRATIS!
Idioma Inglés ● Formato PDF ● Páginas 306 ● ISBN 9783031521591 ● Tamaño de archivo 18.8 MB ● Editor Wei Wu & Yunteng Wang ● Editorial Springer Nature Switzerland ● Ciudad Cham ● País CH ● Publicado 2024 ● Descargable 24 meses ● Divisa EUR ● ID 9380479 ● Protección de copia DRM social
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