Developing data driven framework to model earthquake induced liquefaction potential of granular terrain by machine learning classification models. [PDF]
Sci RepOnyelowe KC +3 more
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Study on Dynamic Strength Characteristics of Sand Solidified by Enzyme-Induced Calcium Carbonate Precipitation (EICP). [PDF]
Materials (Basel)Li G, Hua X, Liu J, Zhang Y, Li Y.
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Biogrouting with microbial-induced carbonate precipitation (MICP) for improving the physical and mechanical properties of granular soils potential liquefaction. [PDF]
MethodsXDiana NA +4 more
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Mechanical properties and micromechanisms of natural fiber-modified saline soil. [PDF]
Sci RepLiu Z, Naibi W, Qu J.
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Analysis of seepage failure mechanism in silty-fine sand and its prevention and control research. [PDF]
Sci RepQin P.
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Sedimentological and micropaleontological characteristics of tsunami deposits associated with the 2024 Noto Peninsula earthquake. [PDF]
Sci RepShimada Y +3 more
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Predicting the strength of microsilica lime stabilized sulfate sand using hybrid machine learning models optimized with sparrow search algorithm. [PDF]
Sci RepChen S, Liu B, Li H, Nan J.
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Numerical simulation analysis of pile-soil interaction under earthquake action. [PDF]
PLoS OneWang Y +6 more
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Seismic site characterization baseline data for microzonation and site response analysis of Otuasega Town, Bayelsa State, Niger Delta region of Nigeria. [PDF]
Sci RepAbdullah GMS +4 more
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Properties and Behavior of Sandy Soils by a New Interpretation of MICP. [PDF]
Materials (Basel)Fukue M +5 more
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