Revealing the mechanisms of water permeability enhancement of urban loess subgrades due to vibration application

Transportation Geotechnics, Journal Year: 2024, Volume and Issue: 48, P. 101346 - 101346

Published: Aug. 23, 2024

Language: Английский

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Optimization of particle size distribution of sulfur-free lignin in enhancing disintegration resistance of saline soil

Journal of Rock Mechanics and Geotechnical Engineering, Journal Year: 2025, Volume and Issue: unknown

Published: Jan. 1, 2025

Language: Английский

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Mechanical properties and reinforcement mechanism study of sulfate saline soil solidified by polyurethane and water glass

Case Studies in Construction Materials, Journal Year: 2025, Volume and Issue: unknown, P. e04328 - e04328

Published: Jan. 1, 2025

Language: Английский

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Seasonal Variations and Driving Factors of Soil Respiration and Its Temperature Sensitivity to Fertilizer Addition in Phyllostachys edulis Plantations of Southern China

Eurasian Soil Science, Journal Year: 2025, Volume and Issue: 58(2)

Published: Feb. 1, 2025

Language: Английский

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Research on the instability mechanism of loess landslides based on preferential infiltration of rainfall

Frontiers in Earth Science, Journal Year: 2025, Volume and Issue: 13

Published: April 28, 2025

Loess landslides represent a prevalent and severe type of geological disaster in the Plateau its surrounding regions. Their frequency intensity are notably exacerbated under rainfall conditions. This study focuses on investigating destabilization mechanism loess induced by preferential infiltration northern slope Xining Haihu Bridge. A combination on-site monitoring, soil property testing, numerical simulations was employed. The findings reveal that during events, water rapidly infiltrates into deep layer through pre-existing pathways, such as cracks. alters internal distribution within soil, leading to localized saturation. subsequent increase pore pressure substantial reduction shear strength emerge critical factors triggering landslides. Additionally, simulation models were utilized analyze stability varying scenarios. analysis identifies key influencing landslides, namely intensity, duration, position depth Furthermore, this innovatively integrates quantitative rainfall-induced with dynamic landslide stability. approach offers more robust theoretical foundation for predicting, assessing, mitigating By quantifying relationship between patterns, provides vital technical support early warning systems, prevention strategies, optimization engineering measures aimed at addressing hazards.

Language: Английский

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Interface performance and damage strength model of guar gum−treated fiber−reinforcement loess slope protection material

Journal of Cleaner Production, Journal Year: 2025, Volume and Issue: unknown, P. 145212 - 145212

Published: March 1, 2025

Language: Английский

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Characteristics and mechanism of loess liquefaction-induced flow slide in Jishishan M6.2 earthquake, China

Soil Dynamics and Earthquake Engineering, Journal Year: 2025, Volume and Issue: 195, P. 109342 - 109342

Published: April 3, 2025

Language: Английский

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Comparative analysis of machine learning techniques for accurate prediction of unfrozen water content in frozen soils

Cold Regions Science and Technology, Journal Year: 2024, Volume and Issue: 227, P. 104304 - 104304

Published: Aug. 29, 2024

Language: Английский

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Comparative study of thaw settlement susceptibility mapping for the Qinghai-Tibet Plateau based on index and machine learning models

Cold Regions Science and Technology, Journal Year: 2024, Volume and Issue: unknown, P. 104354 - 104354

Published: Oct. 1, 2024

Language: Английский

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Sustainable phenol production: Evaluating high phenolic bio-oil from olive pomace via fast pyrolysis combined with chemical and thermochemical pretreatment

Sustainable Production and Consumption, Journal Year: 2024, Volume and Issue: 54, P. 75 - 87

Published: Dec. 30, 2024

Language: Английский

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