Railway Bridge Deflection Measurement Using Filtered Acceleration Data
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Solution Overview
Problem
Existing methods for estimating the structural performance of railway bridges require expensive high-performance measurement devices due to the large calculation amounts involved, making it difficult to reduce the overall system costs.
Innovation Solution
A measurement method and device that generate first and second measurement data by filtering acceleration data from a railway bridge, calculate average velocity and deflection amounts, and approximate measurement data with a linear function to calculate static response, reducing the need for high-performance devices.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If inverse analysis method is used to estimate unknown parameter based on acceleration data, then measurement precision is improved, but calculation amount increases extremely leading to requirement of expensive high-performance measurement devices
Solution Approach 1:
The patent segments the calculation process into two distinct stages: offline pre-computation of influence line functions (structural characteristics) and online simplified calculation using measured acceleration data. This segmentation allows complex structural analysis to be performed once during system setup, while runtime measurements use lightweight calculations that do not require high-performance devices.
Solution Approach 2:
The patent performs preliminary computation of influence line functions and structural parameters during the offline phase before actual measurement operations. By pre-calculating these complex structural characteristics and storing them for later use, the system eliminates the need for real-time high-performance computing during actual structural performance evaluation, enabling use of simpler, more cost-effective measurement devices.
2Measurement precision
If full acceleration data is transmitted to host via communication network, then measurement precision is maintained, but amount of data communication becomes enormous increasing system costs
Solution Approach 1:
The patent extracts and transmits only the essential measurement data (acceleration values at specific measurement points) to the host system, rather than transmitting complete raw acceleration time series or processed structural response data. This selective extraction significantly reduces communication data volume while maintaining the precision needed for structural performance evaluation using the pre-computed influence line functions.
3Measurement precision
If inverse analysis method is used to estimate unknown parameter, then measurement precision is improved, but calculation amount increases leading to inability to sufficiently reduce system costs
Solution Approach 1:
The patent replaces the computationally intensive inverse analysis method with a simplified calculation approach that uses pre-computed influence line functions combined with direct measurement data. This substitution maintains measurement precision for structural performance evaluation while dramatically reducing calculation requirements, enabling deployment on cost-effective hardware platforms without expensive high-performance computing resources.
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
The method allows for accurate calculation of static response with a reduced calculation amount, enabling cost-effective measurement of railway bridge structural performance without the need for expensive measurement devices.
Implementation Method 1
a second measurement data generation step of generating second measurement data in which a vibration component is reduced by performing filter processing on the first measurement data
Data Source
AI summary
A measurement method includes: generating first measurement data based on observation data of an observation point of a structure; generating second measurement data by performing filter processing on the first measurement data; calculating a first deflection amount of the structure; calculating a second deflection amount by performing filter processing on the first deflection amount; approximating the second measurement data with a linear function of the second deflection amount to calculate a first-order coefficient and a zero-order coefficient; calculating a third deflection amount based on the first-order coefficient, the zero-order coefficient, and the second deflection amount; calculating an offset based on the zero-order coefficient, the second deflection amount, and the third deflection amount; and calculating a static response by adding the offset and a product of the first-order coefficient and the first deflection amount.