Dienel, 2019 - Google Patents
Damage Assessment for Composite Structures based on Individual Residual Strength PredictionDienel, 2019
View PDF- Document ID
- 14742320213747007763
- Author
- Dienel C
- Publication year
External Links
Snippet
The current decision-making process for damage assessment and repair on composite structures is considered to be overly conservative. This is mainly due to the adopted empirical approach, which relies on heavy knock-down factors to cover the anticipated worst …
- 239000002131 composite material 0 title 1
Classifications
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N29/00—Investigating or analysing materials by the use of ultrasonic, sonic or infrasonic waves; Visualisation of the interior of objects by transmitting ultrasonic or sonic waves through the object
- G01N29/04—Analysing solids
- G01N29/041—Analysing solids on the surface of the material, e.g. using Lamb, Rayleigh or shear waves
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N29/00—Investigating or analysing materials by the use of ultrasonic, sonic or infrasonic waves; Visualisation of the interior of objects by transmitting ultrasonic or sonic waves through the object
- G01N29/04—Analysing solids
- G01N29/043—Analysing solids in the interior, e.g. by shear waves
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N29/00—Investigating or analysing materials by the use of ultrasonic, sonic or infrasonic waves; Visualisation of the interior of objects by transmitting ultrasonic or sonic waves through the object
- G01N29/44—Processing the detected response signal, e.g. electronic circuits specially adapted therefor
- G01N29/46—Processing the detected response signal, e.g. electronic circuits specially adapted therefor by spectral analysis, e.g. Fourier analysis or wavelet analysis
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N2203/00—Investigating strength properties of solid materials by application of mechanical stress
- G01N2203/0058—Kind of property studied
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N29/00—Investigating or analysing materials by the use of ultrasonic, sonic or infrasonic waves; Visualisation of the interior of objects by transmitting ultrasonic or sonic waves through the object
- G01N29/22—Details, e.g. general constructional or apparatus details
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N2291/00—Indexing codes associated with group G01N29/00
- G01N2291/02—Indexing codes associated with the analysed material
- G01N2291/028—Material parameters
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N2203/00—Investigating strength properties of solid materials by application of mechanical stress
- G01N2203/02—Details not specific for a particular testing method
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2207/00—Indexing scheme for image analysis or image enhancement
- G06T2207/30—Subject of image; Context of image processing
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N33/00—Investigating or analysing materials by specific methods not covered by the preceding groups
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T7/00—Image analysis
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N3/00—Investigating strength properties of solid materials by application of mechanical stress
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06F—ELECTRICAL DIGITAL DATA PROCESSING
- G06F17/00—Digital computing or data processing equipment or methods, specially adapted for specific functions
- G06F17/50—Computer-aided design
- G06F17/5009—Computer-aided design using simulation
Similar Documents
Publication | Publication Date | Title |
---|---|---|
Fahr | Aeronautical applications of non-destructive testing | |
Falcetelli et al. | Probability of detection, localization, and sizing: The evolution of reliability metrics in Structural Health Monitoring | |
Selva et al. | Smart monitoring of aeronautical composites plates based on electromechanical impedance measurements and artificial neural networks | |
Agarwal et al. | Lamb wave based automatic damage detection using matching pursuit and machine learning | |
Smith et al. | Progress in 3D characterisation and modelling of monolithic carbon-fibre composites | |
Cheng et al. | Automatic defect depth estimation for ultrasonic testing in carbon fiber reinforced composites using deep learning | |
Devivier et al. | Impact damage detection in composite plates using deflectometry and the Virtual Fields Method | |
Ooijevaar | Vibration based structural health monitoring of composite skin-stiffener structures | |
Hauffe et al. | Comparison of algorithms to quantify the damaged area in CFRP ultrasonic scans | |
CN113720907B (en) | Composite material layered damage identification method for contour and depth sequence identification | |
Bahonar et al. | Investigation of real delamination detection in composite structure using air-coupled ultrasonic testing | |
Gao et al. | Guide waves-based multi-damage identification using a local probability-based diagnostic imaging method | |
Segers et al. | Efficient automated extraction of local defect resonance parameters in fiber reinforced polymers using data compression and iterative amplitude thresholding | |
Cao et al. | A novel damage characterization approach for laminated composites in the absence of material and structural information | |
Torbali et al. | A state-of-the-art review of non-destructive testing image fusion and critical insights on the inspection of aerospace composites towards sustainable maintenance repair operations | |
Ren et al. | Multi-damage imaging of composite structures under environmental and operational conditions using guided wave and Gaussian mixture model | |
Sreeshan et al. | Enhancement of thermographic images of composite laminates for debond detection: An approach based on Gabor filter and watershed | |
Oliver et al. | Wavelet transform-based damage identification in laminated composite beams based on modal and strain data | |
De et al. | A comprehensive multi-modal NDE data fusion approach for failure assessment in aircraft lap-joint mimics | |
Katunin et al. | Quantification of hidden corrosion in aircraft structures using enhanced D-Sight NDT technique | |
Yaacoubi et al. | A model-based approach for in-situ automatic defect detection in welds using ultrasonic phased array | |
US20240013044A1 (en) | Method for characterizing a part through non-destructive inspection | |
Dienel | Damage Assessment for Composite Structures based on Individual Residual Strength Prediction | |
Junqueira et al. | A deep learning approach to inverse scattering analyses: Recovering interfacial defects in laminated structures | |
Aldrin et al. | Design and demonstration of automated data analysis algorithms for ultrasonic inspection of complex composite panels with bonds |