Debris Flow Initiation Volume Prediction via Soil Column Segmentation
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Solution Overview
Problem
Current methods for predicting the initiation volume of debris flow slope sources are inaccurate due to their reliance on empirical models and simplified calculations, failing to account for the complex interactions of rainfall, runoff erosion, and soil parameters, leading to large errors in prediction.
Innovation Solution
A dynamic prediction method and system that divides the debris flow slope into regular hexagonal soil columns, calculates the most unfavorable sliding surface, determines instability, and uses a fiber bundle model to simulate the force mode and break status of connection bonds, predicting the initiation volume based on fluidization criteria.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of manufacture
If empirical models and simplified methods are used for prediction, then the calculation process is simple, but the prediction accuracy is low
Solution Approach 1:
The slope is divided into multiple soil columns arranged in a grid pattern, with each column representing a discrete element that can be independently analyzed. This segmentation allows the complex slope system to be broken down into manageable units while maintaining overall accuracy in predicting debris flow initiation volume.
Solution Approach 2:
The patent transforms the continuous slope into discrete soil column elements with specific parameters (weight, pore water pressure, cohesion, internal friction angle). By changing from continuous to discrete parameter representation, the model achieves both computational tractability and prediction accuracy.
2Device complexity
If single models (stochastic process, infinite slope, slope erosion, or soil column models) are used, then the model structure is simple, but the prediction accuracy is low due to incomplete consideration of physical mechanisms
Solution Approach 1:
The patent merges four distinct physical mechanisms (stochastic rainfall distribution, runoff erosion, rainfall infiltration, and gravity) into a unified soil column model. Each soil column integrates all these factors simultaneously, allowing the model to capture their combined effects on debris flow initiation while maintaining a relatively simple computational structure.
Solution Approach 2:
The model creates a composite analytical framework that combines elements from different theoretical approaches (stochastic processes, limit equilibrium, erosion mechanics, and soil mechanics) into a unified prediction system. This composite approach leverages the strengths of each individual model while avoiding their respective limitations.
3Measurement precision
If the slope is divided into soil columns and complex calculations are performed for each column considering multiple physical mechanisms, then the prediction accuracy is improved, but the calculation complexity increases
Solution Approach 1:
By dividing the slope into discrete soil columns, the complex continuous problem is transformed into multiple independent but interconnected sub-problems. Each column can be calculated separately using standardized procedures, which reduces overall computational complexity while maintaining high prediction accuracy through the collective behavior of all columns.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
This approach allows for accurate prediction of debris flow initiation, enabling early warning and disaster prevention by simulating the failure and interaction processes between soil columns, thus improving the accuracy and reliability of debris flow prediction.
Implementation Method 1
determining a force mode of the six surrounding adjacent soil columns on the central soil column; simulating the force mode of the six surrounding adjacent soil columns on the central soil column through a fiber bundle model, and determining a break status of connection bonds
Implementation Method 2
calculating a most unfavorable sliding surface of each soil column according to an upper bound theorem of a limit analysis, and calculating an unbalanced force on the most unfavorable sliding surface
Implementation Method 3
The calculation based on the soil column model discretizes the slope into soil column elements, taking into account the gravity-induced interaction between the soil columns
Implementation Method 4
determining whether the soil column is fluidized according to a fluidization criterion; if the determination result indicates yes, predicting that the soil column is about to initiate a debris flow
Data Source
AI summary
The present disclosure relates to a prediction method and system for an initiation volume of a debris flow slope source. The prediction method includes: dividing a debris flow source slope to be predicted into soil columns; determining a positional relationship between a selected central soil column and six adjacent soil columns around; calculating a most unfavorable sliding surface of the soil column and an unbalanced force on the sliding surface according to an upper bound theorem of a limit analysis; determining whether the most unfavorable sliding surface is unstable; determining a mode and a size of a force exerted by an unstable soil column on a surrounding soil column according to a break status of a connection bond of a lateral tensile stress of the central soil column; and finally determining whether the soil column is fluidized, and predicting an initiation volume of the debris flow source slope.