Structural Vibration Animation Using Frequency Band Filtration
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Solution Overview
Problem
Conventional structural vibration analysis techniques fail to provide accurate information on structural vibrations in desired frequency bands under operational conditions, limiting their effectiveness in evaluating performance, investigating failures, and monitoring structural health.
Innovation Solution
A method involving data reception from multiple sensors, filtration to exclude data outside a selected frequency band, association of sensor locations with a computer model, and generation of an animation that displays structural vibration, utilizing techniques like finite element modeling and data reduction to visualize vibrations in specific frequency bands.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If conventional modal extraction is used to animate structure at a single frequency, then the animation can be generated, but it cannot provide structural vibration information in desired frequency bands under operational conditions
Solution Approach 1:
The patent segments the frequency spectrum into multiple frequency bands and processes each band separately through filtering operations. Instead of analyzing the entire frequency spectrum at once, the method divides it into manageable segments (frequency bands) and extracts vibration information from each segment independently, enabling comprehensive coverage of operational frequency ranges
Solution Approach 2:
The patent transitions from static modal extraction at a single frequency to dynamic frequency band analysis under operational conditions. By applying filtering to sensor data collected during actual operation, the system adapts to capture vibration characteristics across varying frequencies and operational states, making the analysis dynamic rather than static
2Loss of information
If sensor data from multiple locations is collected, then comprehensive vibration information is obtained, but data processing complexity increases
Solution Approach 1:
The patent merges data from multiple sensors through a centralized processing system that applies consistent filtering operations across all sensor inputs. By combining the filtered sensor data with the computer model in a unified analysis framework, the system achieves comprehensive vibration information without proportionally increasing processing complexity
Solution Approach 2:
The patent changes the processing approach by applying frequency-based filtering parameters to sensor data. Instead of complex time-domain analysis of raw multi-sensor data, the method transforms the data through frequency domain filtering, simplifying the extraction of vibration information while maintaining completeness
Data Source
AI summary
A method of analyzing structural vibration according to one aspect of the present invention includes reception of data from a plurality of sensors on a structure, filtration of the data to exclude data outside of a selected frequency band, association of sensor locations with locations on computer model, and generation of an animation which displays the structural vibration.