Visco-elastic material characterization by means of full field Lamb waves

2021 ◽  
Vol 150 (4) ◽  
pp. A187-A187
Author(s):  
Adil H. Orta ◽  
Joost Segers ◽  
Nicolaas B. Roozen ◽  
Wim Van Paepegem ◽  
Mathias Kersemans ◽  
...  
Keyword(s):  
Elastic Material ◽  
Material Characterization ◽  
Lamb Waves ◽  
Full Field

scholarly journals White-light speckle image correlation applied to large-strain material characterization

2009 ◽  
pp. 377-392
Author(s):  
Giovanni B. Broggiato ◽  
Luca Cortese
Keyword(s):  
Material Characterization ◽  
Plastic Material ◽  
Large Strain ◽  
Equivalent Stress ◽  
Tensile Tests ◽  
Equivalent Strain ◽  
Image Correlation ◽  
Plastic Behavior ◽  
Full Field ◽  
Measurement Devices

In experimental mechanics, the possibility of tracking on component surfaces the full-field stress and strain states during deformation can be utilized for many purposes such as formability limits determination, quantification of stress intensification factors, material characterization and so on. Concerning the last topic, an interesting application could be a direct identification of the elasto-plastic material response up to large deformation. It is well known, in fact, that with traditional measurement devices it is possible to retrieve the true equivalent stress versus true equivalent strain data from tensile tests only up to the onset of necking, where localization starts to occur. This work aims to show how from the knowledge of a tensile test full-field strain and of load data it will be possible to obtain the full-stress field as well as the complete material elasto-plastic behavior.

scholarly journals An inverse method for design and characterisation of acoustic materials

2019 ◽  
Vol 304 ◽  
pp. 02002
Author(s):  
Huina Mao ◽  
Romain Rumpler ◽  
Peter Göransson
Keyword(s):  
Elastic Material ◽  
Material Properties ◽  
Inverse Method ◽  
Measurement Data ◽  
Experimental Tests ◽  
Material Model ◽  
Full Field ◽  
Inverse Estimation ◽  
Anisotropic Elastic ◽  
Anisotropic Elastic Material

This paper presents applications of an inverse method for the design and characterisation of anisotropic elastic material properties of acoustic porous materials. Full field 3D displacements under static surface loads are used as targets in the inverse estimation to fit a material model of an equivalent solid to the measurement data. Test cases of artificial open-cell foams are used, and the accuracy of the results are verified. The method is shown to be able to successfully characterise both isotropic and anisotropic elastic material properties. The paper demonstrates a way to reduce costs by characterising material properties based on the design model without a need for manufacturing and additional experimental tests.

Online Material Characterization Using Full-Field Strain Measurement

2011 ◽  
Author(s):  
Tomonari Furukawa ◽  
Jan Wei Pan ◽  
John G. Michopoulos ◽  
Athanasios Iliopoulos
Keyword(s):  
Strain Measurement ◽  
Material Characterization ◽  
Linear Equations ◽  
Field Strain ◽  
Frobenius Norm ◽  
Differential Entropy ◽  
Conservation Of Energy ◽  
Full Field ◽  
Characterization Problem ◽  
Stochastic Identification

This paper presents and reviews an online methodology which characterizes materials using full-field strain measurement. The proposed methodology utilizes the principle of conservation of energy and formulates both the deterministic technique based on the pseudoinverse analysis and the stochastic technique based on the Kalman filter in terms of recursive linear equations. The methodology further describes the derivation the average Frobenius norm and the differential entropy as recursively computable measures enabling the evaluation of the well-posedness of the material characterization problem as well as the uncertainty of the identified constants. Comparative studies have identified that the deterministic identification is a particular case of the stochastic identification, whilst the adequacy and significance of both the average Frobenius norm and the differential entropy was reconfirmed.

Data Fusion of Probabilistic Full-Field Measurements for Material Characterization

2011 ◽  
Vol 462-463 ◽  
pp. 686-691 ◽  
Author(s):  
Jan Wei Pan ◽  
Jin Quan Cheng ◽  
Tomonari Furukawa
Keyword(s):  
Data Fusion ◽  
Material Characterization ◽  
Field Measurements ◽  
Single Camera ◽  
Original Formulation ◽  
Multiple Cameras ◽  
Full Field ◽  
Gaussian Probability Density Function ◽  
Probability Density Function Pdf ◽  
Displacement Measurements

This paper presents a data fusion technique to model more certain probabilistic full-field strain/displacement measurements for stochastic energy-based characterization proposed by the authors. The proposed technique measures the full-field measurements by using multiple cameras, constructing a Gaussian probability density function (PDF) for each camera, fusing the PDFs and developing the total PDF of the full-field measurements. Since the certainty of measurements is magnified by the use of multiple cameras, the use of multiple well-calibrated cameras could achieve the accuracy which no single camera could attain. The validity of the proposed energy-based characterization and its superiority to the original formulation were investigated using numerical analysis of an anisotropic material, and the proposed technique was found to improve the accuracy significantly with the addition of cameras.

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