Railroad Bridge Weight Estimation Using Pre-Computed Deflection Databases
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Solution Overview
Problem
Current methods for estimating unknown parameters of a theoretical analysis model for railroad bridge structure performance using inverse analysis are computationally intensive, requiring expensive and high-performance measurement devices, which hinders cost reduction in data communication and system implementation.
Innovation Solution
A measurement method and device that generate displacement data, calculate deflection amounts, and determine weighting coefficients based on observation information and environmental data, reducing the need for high-performance devices by processing data locally and efficiently.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If inverse analysis method is used to estimate unknown parameters from acceleration data, then measurement precision is improved, but device complexity and cost increase due to requiring high-performance measurement devices
Solution Approach 1:
The patent replaces the mechanical/computational heavy inverse analysis system with a simplified calculation system based on pre-generated databases. Instead of performing complex real-time inverse analysis requiring high-performance devices, the system uses pre-computed databases of deflection amounts under various train conditions to match and determine vehicle weights through simpler comparison and calculation processes.
2Productivity
If acceleration data is transmitted to host via communication network, then data processing capability is improved, but data communication traffic increases leading to higher system cost
Solution Approach 1:
The patent extracts and processes only the essential information needed for weight determination from the acceleration data. Instead of transmitting all raw acceleration data to the host, the system processes the data locally to extract key features and compares them against pre-generated database entries, significantly reducing the amount of data that needs to be communicated while maintaining the ability to determine vehicle weights accurately.
3Measurement precision
If comprehensive acceleration data is transmitted for accurate parameter estimation, then measurement precision is improved, but data communication traffic and system cost increase
Solution Approach 1:
The patent performs preliminary actions by pre-generating databases of deflection amounts for various train conditions (different train types, speeds, and configurations) before actual measurement. This pre-computation allows the system to later match observed acceleration patterns against these pre-generated scenarios, achieving accurate structural performance evaluation without needing to transmit comprehensive raw data for real-time analysis.
Data Source
AI summary
A measurement method includes generating first displacement data based on data of observation points of a structural object, generating observation information, calculating deflection amounts of the structural object by vehicles of a moving object, calculating approach times and exit times of the vehicles with respect to the structural object, calculating time intervals divided by a plurality of times obtained by sorting the approach times and the exit times by time, calculating an amplitude amount of the first displacement data in each of the time intervals, calculating an amplitude amount of the deflection amount in each of the time intervals, and calculating weighting coefficients assuming that a sum of products of the amplitude amounts of the deflection amounts in the time intervals and the weighting coefficients to the vehicles is equal to the amplitude amount of the first displacement data in the time intervals.