Scale-Aware Physics Model for Heterogeneous Material Damage Detection
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Solution Overview
Problem
Existing nondestructive testing methods struggle to effectively detect damage and characterize material properties in materials with heterogeneous properties, as the noise inherent in these materials can be similar in magnitude to the signal from damage.
Innovation Solution
The use of scale-aware single- or multi-physics models that capture first principles such as conservation laws exactly at arbitrary length scales and time scales, combined with physics-compatible denoising schemes, to analyze the material's response to nondestructive stimuli and identify anomalies or characterize effective material properties.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional nondestructive testing methods are used to detect damage in heterogeneous materials, then the detection process is simple and straightforward, but the noise inherent in heterogeneous materials is similar in magnitude to the damage signal, making it difficult to distinguish damage from material variability
Solution Approach 1:
The patent applies parameter changes by transforming the analysis from spatial domain to frequency-wavenumber domain using Fourier transforms. This parameter transformation allows the scale-aware model to selectively filter noise based on frequency characteristics while preserving damage signals, thereby improving measurement precision without proportionally increasing device complexity
Solution Approach 2:
The patent introduces an intermediary scale-aware single- or multi-physics model that acts as a mediator between the raw measurement data and the final damage detection result. This intermediary model incorporates domain knowledge about material behavior at different scales, enabling it to distinguish between noise and actual damage signals in heterogeneous materials
2Reliability
If scale-aware single- or multi-physics models are used to analyze material response, then damage detection precision improves in heterogeneous materials, but the complexity of the analysis model increases
Solution Approach 1:
The patent applies segmentation by dividing the frequency-wavenumber spectrum into different regions corresponding to different physical phenomena and scale ranges. The scale-aware model processes different frequency bands separately, allowing it to apply appropriate analysis methods to each segment while maintaining overall reliability. This segmented approach prevents the model from becoming overwhelmed by the full complexity of the data
Solution Approach 2:
The patent implements dynamics by making the model adaptable to different material types and damage scenarios. The scale-aware single- or multi-physics model can dynamically adjust its parameters and complexity based on the specific application, allowing high reliability when needed while avoiding unnecessary complexity in simpler cases
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 enables the detection of damage and characterization of material properties in materials with heterogeneous properties, improving material testing technologies and enhancing the ability to detect anomalies and characterize properties effectively.
Implementation Method 1
Nondestructive methods typically involve stimulating the material with a sound wave (also known as an acoustic wave), electrical current, or magnetic field and analyzing how the material responds to the stimulus
Data Source
AI summary
A nondestructive method for detecting damage in parts and/or characterizing effective material properties may include: exposing a material to one or more nondestructive stimuli; measuring a response of the material to the stimuli; selecting at least one of a specific length scale or a specific time scale; and analyzing the measurement of the response with a scale-aware single- or multi-physics model to identify anomalies in the measurements as compared to an expected response of the material to the stimuli, wherein the scale-aware single- or multi-physics model is based on the at least one of the specific length scale or the specific time scale.