Road Collapse Probability Evaluation Using Soil and Pipeline Models
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Solution Overview
Problem
Existing road collapse assessment methods lack a unified failure probability value analysis that integrates multiple factors, and current detection techniques are scattered and cannot form a systematic road bearing capacity assessment system.
Innovation Solution
A method for evaluating the probability of road collapse by collecting road data, determining road soil layer and underground pipeline deterioration factors, constructing influence intensity models, and summarizing the probabilities of these factors to evaluate the road collapse probability.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If multiple detection techniques are used to assess road collapse, then measurement precision is improved, but device complexity increases
Solution Approach 1:
The patent combines multiple detection techniques (ground-penetrating radar, electromagnetic exploration, falling weight deflectometer) into a unified detection system that collects data from multiple sources simultaneously. This merging approach improves measurement precision by integrating complementary information while managing device complexity through systematic coordination of the detection equipment.
Solution Approach 2:
The patent creates a comprehensive assessment system that serves multiple functions: detecting soil layer conditions, identifying underground pipelines, evaluating pavement structure, and assessing collapse probability. This multi-functional system improves measurement precision across different parameters while reducing the need for separate specialized detection systems.
2Ease of operation
If scattered detection equipment is used for pavement structural deteriorations and intensity, then ease of operation is maintained, but reliability of assessment deteriorates
Solution Approach 1:
The patent divides the assessment system into distinct functional modules: soil layer detection, pipeline detection, pavement structure assessment, and probability calculation. Each module can be operated independently, maintaining ease of operation, while the integrated framework ensures reliable comprehensive assessment by systematically combining results from all segments.
3Device complexity
If a single detection technique is used, then device complexity is reduced, but measurement precision deteriorates
Solution Approach 1:
The patent introduces a data integration and processing system that acts as an intermediary between multiple detection techniques and the final assessment results. This intermediary component coordinates data from different detection methods, standardizes formats, and synthesizes information, thereby maintaining manageable system complexity while achieving high measurement precision through multi-source data fusion.
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 method provides a comprehensive and accurate assessment of road collapse probability by integrating multiple factors, improving the scientific nature and accuracy of road collapse assessments, and enabling timely preventive measures.
Implementation Method 1
using FWD to obtain pavement condition information of the road to be analyzed, wherein the pavement condition information includes a deflection value of the road to be analyzed
Implementation Method 2
using GPR and/or EEM to obtain underground soil layer information of the road to be analyzed, wherein the underground soil layer information includes relative dielectric constant, electrical resistivity, and the underground structure condition
Implementation Method 3
using GPR and/or EEM to obtain underground soil layer information of the road to be analyzed, wherein the underground soil layer information includes relative dielectric constant, electrical resistivity
Data Source
AI summary
A method for evaluating a probability of road collapse is provided, which includes: collecting road data information of the road to be analyzed, and obtaining road soil layer information and underground pipeline information respectively through the road data information; determining road soil layer deterioration factors based on the road soil layer information; constructing a deterioration factor influence intensity model combined with the road soil layer information to obtain the probability of the influence of the road soil layer deterioration factors; constructing an underground pipeline deterioration influence intensity model combined with the underground pipeline information to obtain the probability of the underground pipeline deterioration influence; summarizing the probability of the influence of the road soil layer deterioration factors and the probability of the underground pipeline deterioration influence, and then evaluating the probability of road collapse, improving the scientific nature and accuracy of the road collapse assessment process.