Multi-Resolution Modal Vibration Analysis for Structures

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Solution Overview

Problem

Current modal analysis methods for structures face challenges in achieving adequate frequency resolution across a wide range of frequencies, particularly for low-frequency modes, leading to inefficient data capture, increased testing time, and unsatisfactory results due to the need for multiple test runs or prolonged sine testing, which complicates data management and fails to accurately represent simultaneous multi-frequency excitations.

Innovation Solution

A modal vibration analysis system that employs multiple exciters and sensors to generate broadband vibrations, allowing for simultaneous multi-resolution analysis across the entire frequency range, with controlled excitation spectra and integrated data processing to compute frequency response functions, natural frequencies, and modal shapes, enabling efficient characterization of both high and low-frequency modes in a single test run.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Measurement precision

If FFT size is increased to improve frequency resolution for low-frequency modes, then frequency resolution is improved, but data capture size and testing duration increase significantly

Engineering Contradiction:
Improvefrequency resolutionVSAvoidtesting duration
Core Design Contradiction:
Measurement precisionVSLoss of time

Solution Approach 1:

The frequency spectrum is segmented into multiple bands, each processed with appropriate FFT size. Low-frequency bands use larger FFT sizes for high resolution, while high-frequency bands use smaller FFT sizes, avoiding the need to increase overall data capture size tenfold.

Inventive Principle:
Principle #1Segmentation

Solution Approach 2:

The system dynamically adjusts the excitation energy distribution across different frequency bands during a single test, concentrating more energy in low-frequency bands to generate sufficient response without requiring prolonged testing or multiple test runs.

Inventive Principle:
Principle #15Dynamics

2Measurement precision

If multiple tests are conducted at different frequency ranges to achieve adequate resolution, then frequency resolution is improved, but testing time and data management complexity increase

Engineering Contradiction:
Improvefrequency resolutionVSAvoiddata management complexity
Core Design Contradiction:
Measurement precisionVSDevice complexity

Solution Approach 1:

Multiple frequency band analyses are merged into a single integrated test and data processing workflow. The system simultaneously captures and processes data across all frequency ranges in one test run, integrating results into a unified modal analysis rather than managing separate test datasets.

Inventive Principle:
Principle #5Merging (Combining)

Solution Approach 2:

The excitation system is designed to universally excite multiple frequency bands simultaneously with appropriate energy distribution, and the analysis system universally processes all frequency ranges through a single multi-resolution algorithm, eliminating the need for separate specialized tests.

Inventive Principle:
Principle #6Universality (Multi-functionality)

3Measurement precision

If excitation energy is concentrated in low-frequency bands to generate sufficient response, then low-frequency mode characterization is improved, but high-frequency mode excitation becomes insufficient

Engineering Contradiction:
Improvelow-frequency mode characterizationVSAvoidhigh-frequency mode excitation
Core Design Contradiction:
Measurement precisionVSReliability

Solution Approach 1:

The excitation energy distribution is optimized locally for different frequency bands. Low-frequency bands receive higher excitation energy to ensure sufficient response for high-resolution analysis, while high-frequency bands receive appropriate energy levels, creating a non-uniform but optimally distributed excitation spectrum across all bands.

Inventive Principle:
Principle #3Local quality

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 extraction and visualization of all vibration modes in a single test, reducing testing time and data management complexity while providing integrated results, achieving higher resolution for low-frequency modes without increasing data size or testing duration, and effectively capturing the complex nonlinear behaviors of structures.

Implementation Method 1

the set of exciters simultaneously generate broadband vibration in the structure

Methodology Applied
Scientific EffectBroadband vibration: Vibration

Implementation Method 2

a set of sensors coupled to the unit or structure under test at multiple locations for sensing the vibrations and excitation reference(s) generated in response to the excitations

Methodology Applied
Scientific EffectVibration sensing: Vibration

Implementation Method 3

A modal analysis processor receives the excitation reference and sensor signals and then, from these signals, computes a set of frequency response functions for the structure covering the whole frequency range for all sensor locations, determines natural frequencies as well as damping coefficients, and computes a mode shape at each natural frequency

Methodology Applied
Scientific EffectSpectral analysis:

Data Source

PatentUS10386339B2Modal vibration analysis system
Publication Date: 2019.08.20 CRYSTAL INSTRUMENTS CORP
  • US10386339B2 patent drawing
  • US10386339B2 patent drawing
  • US10386339B2 patent drawing

AI summary

A modal vibration analysis system and corresponding method is provided. Exciters are coupled to a structure under test for generating vibrations in the structure. Sensors are coupled to the structure at multiple locations for sensing vibrations generated in response to the excitations. A controller provides drive signals to the exciters such that the sensor signals have a target output spectrum with specified characteristics in multiple designated frequency domains of the spectrum, characterized by a random phase for each frequency. Modal analysis processes digitized sensor signals with a Fast Fourier Transform conducted at two or more specified data sampling rates to synthesize a spectrum containing data points with finer frequency resolution for lower frequency range, and regular frequency resolution for higher frequency range. From the multi-resolution spectra, natural frequencies and damping coefficients are determined at each mode, and a mode shape at each natural frequency is computed.