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3 results about "Liquefaction resistance" patented technology

A vibration energy dissipation feedback control system for core wall liquefaction resistance

This invention relates to the fields of seismic resistance in geotechnical engineering and construction technology in hydraulic engineering, and particularly to a vibration energy dissipation feedback control system for core wall anti-liquefaction. The system includes: a data acquisition and positioning module that acquires vibration response signals and location information in real time during the compaction process; a signal processing and feature extraction module that extracts characteristic parameters representing the dynamic state of the fill material; a real-time liquefaction risk diagnosis module that outputs a quantified liquefaction risk index using a pre-trained discriminant model; an intelligent decision-making and control command generation module that generates control commands based on this index; an actuator adaptive adjustment and targeted compaction module that drives the roller to adjust its working parameters and performs targeted enhanced compaction in high-risk areas; and a global iteration and visualization monitoring module that coordinates the entire process and generates a quality risk distribution map. This invention achieves real-time perception and adaptive closed-loop control of anti-liquefaction performance during construction, fundamentally improving the seismic stability of the core wall.
Owner:HENAN PROVINCIAL WATER CONSERVANCY FIRST ENG BUREAU

Vertical drainage structure for improving liquefaction resistance of a driven sand-gravel pile

ActiveCN224314167USoil preservationSoil scienceLiquefaction resistance
This invention provides a vertical drainage structure to improve the liquefaction resistance of driven gravel piles. The vertical drainage structure includes a grass mat layer laid at the bottom of the gravel pile and above the pile body, and a perforated steel pipe inserted into the middle of the gravel pile body. The grass mat layer is 8-12 cm thick, and the interval between adjacent grass mat layers is 0.8-1.2 m. An inverted U-shaped pipe and a drainage hose are provided at the end of the perforated steel pipe extending beyond the gravel pile body. This invention ensures a rapid drainage path while maintaining the strength of the gravel pile by using unevenly graded gravel. The grass mat layer, placed 1 m apart at the bottom and pile body, ensures smooth water passage while filtering soil particles, effectively preventing blockage of the drainage channel. The structure of this invention improves the drainage of gravel piles, avoids soil blockage of the drainage channel during construction, and ensures the liquefaction resistance of the gravel pile. Its construction is simple, low-cost, and can be rapidly promoted.
Owner:WUHAN SURVEYING GEOTECHN RES INST OF MCC

A method and system for identifying seismic liquefaction of sandy soil based on SSA-CNN-SVM model coupling

PendingCN122132678ANeural learning methodsComplex mathematical operationsData setDensity based clustering
This invention discloses a method and system for identifying seismic liquefaction of sandy soil based on a coupled SSA-CNN-SVM model. This invention relates to the field of seismic safety assessment technology and includes the following steps: acquiring a historical sandy soil liquefaction sample dataset, including key influencing indicators and liquefaction state labels; simultaneously collecting geographical location information; extracting statistical feature parameters to calculate the liquefaction resistance index and seismic intensity index; performing weighted similarity measurement based on geographical feature parameters; dividing the sample area into multiple geological regions using a hierarchical clustering algorithm; within each region, calculating the Mahalanobis distance between sample areas; performing secondary clustering using a density-based clustering algorithm to identify clusters of samples with similar liquefaction mechanisms; and establishing a prediction model coupled with a deep learning model and optimization algorithm for each cluster to achieve liquefaction hazard assessment, significantly improving the accuracy and robustness of sandy soil seismic liquefaction identification.
Owner:HEBEI GEO UNIVERSITY