LS-D-Newmark Model for Seismic Landslide Hazard Assessment
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Solution Overview
Problem
Current Newmark model-based seismic landslide hazard assessments face unstable prediction accuracy due to insufficient incorporation of historical landslide data, leading to inaccurate hazard assessments.
Innovation Solution
The LS-D-Newmark model integrates historical landslide density into the Newmark model, adjusting parameters to optimize the static safety factor and calculate critical acceleration and displacement, thereby improving prediction accuracy by incorporating historical landslide data.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If the traditional Newmark model is used for seismic landslide hazard assessment, then the assessment can be completed based on topographic slope, geotechnical mechanics parameters and peak ground acceleration, but the prediction accuracy is unstable
Solution Approach 1:
The patent applies preliminary action by incorporating historical landslide density data before conducting the seismic landslide hazard assessment. The historical landslide density is calculated from historical landslide data and used to adjust the static safety factor in the Newmark model, thereby improving the stability and accuracy of predictions by accounting for past landslide patterns before the actual assessment is performed
Solution Approach 2:
The patent applies parameter changes by modifying the static safety factor parameter in the Newmark model based on historical landslide density. The static safety factor is adjusted using a correction term that incorporates historical landslide density, transforming the original model parameters to reflect areas with higher landslide susceptibility, thus improving prediction accuracy
2Measurement precision
If historical landslide data is incorporated into the Newmark model, then the prediction accuracy of seismic landslide hazards is improved, but the model complexity increases
Solution Approach 1:
The patent applies segmentation by dividing the enhancement of the Newmark model into distinct modules: (1) calculation of historical landslide density from historical landslide data, (2) adjustment of static safety factor using the density correction term, and (3) computation of slope displacement using the modified parameters. This modular approach improves prediction accuracy while keeping the model structure organized and manageable
Solution Approach 2:
The patent uses historical landslide density as an intermediary parameter that bridges past landslide occurrences and future hazard predictions. This intermediary is calculated from historical data and used to adjust the static safety factor, serving as a mediator that incorporates historical information without requiring direct integration of complex historical landslide mechanisms into the Newmark model
Data Source
AI summary
An assessment method for seismic landslide hazard based on a LS-D-Newmark model is performed as follows. Historical landslide data is acquired, and a historical landslide density is determined. The historical landslide data is input into the LS-D-Newmark model, and model parameters are adjusted, such that a static safety factor Fs of a slope is greater than 1 in the absence of external forces. The historical landslide density is introduced to the LS-D-Newmark model, and assignment of the static safety factor Fs is optimized to obtain an optimized static safety factor Fs-L. A slope critical acceleration ac-L and an earthquake-induced slope displacement Dn-L, are calculated to calculate a landslide occurrence probability P of a target landslide region. An assessment device, a processing device, and a computer-readable storage medium for implementing the method are further provided.