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Field Displacement-Based Inverse Method for Elastic and Viscoelastic Constitutive Properties
BackgroundMechanical characterization of materials that solely relies on global responses may overlook important local behavior that significantly...
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An inverse method of fundamental solutions for the identification of 2D elastic properties of anisotropic solids
There are six elastic constants for an anisotropic body in plane strain/stress conditions. In the inverse problem of this study, it is assumed that...
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Development and Application of Dynamic Integrated DIC Material Parameters Inversion Method for SHPB Tests
BackgroundDynamic mechanical parameters are significant to study the dynamic evolution, but multiple constitutive parameters are difficult to be...
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Creep Characterization of Amorphous SiO2 in the Transmission Electron Microscope Using Digital Image Correlation and Finite Element Analysis
BackgroundAmorphous silica (a-SiO 2 ) exhibits creep behavior under electron beam irradiation in the transmission electron microscope (TEM) even at...
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An Inverse Identification Method for the Characterization of Elastic Conforming Contact Behavior During Flat Punch Indentation
BackgroundThe flat punch indentation problem is a typical prototype of conforming contact which can be frequently encountered in many applications....
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Crack Size Estimation with an Inverse Finite Element Model
The inverse Finite Element Method (iFEM) is a model-based technique able to compute the displacement field of a structure from strain measurements...
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Optimization and inverse analysis in metal forming: scientific state-of-the-art and recent trends
Nowadays, the accuracy and fast result-delivery of numerical simulations allow to perform not simply feasibility and validation tasks but to actually...
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An enhanced deep learning approach for vascular wall fracture analysis
This work outlines an efficient deep learning approach for analyzing vascular wall fractures using experimental data with openly accessible source...
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Meshfree Digital Image Correlation Using Element Free Galerkin Method: Theory, Algorithm and Validation
BackgroundThe association of advanced digital image correlation (DIC) and numerical simulation has been widely used for inverse parameter...
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Improving Deep Learning-Based Digital Image Correlation with Domain Decomposition Method
BackgroundDeep learning-based digital image correlation (DL-based DIC) has gained increasing attention in the last two years. However, existing...
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Detecting and Reconstructing the 3D Geometry of Subsurface Structural Damages Using Full-Field Image-Based Sensing and Topology Optimization
Most of the critical defects in structural components are invisible at the surface, mainly throughout early stages of deterioration, causing their...
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Sub-global equilibrium method for identification of elastic parameters based on digital image correlation results
In this work, a new, simple method is presented, which enables identification of material properties of solids basing on the digital image...
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Inverse identification of elastic constants using Airy stress function: theory and application
Development of a novel and efficient inverse method for anisotropic material identification based on a complex-variable formulation of Airy stress...
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Computationally efficient stress reconstruction from full-field strain measurements
Stress reconstruction based on experimentally acquired full-field strain measurements is computationally expensive when using conventional implicit...
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On Optimization Strategies for Inverse Problems in Metalforming
In this contribution we consider inverse mechanical problems in terms of parameter identification and shape optimization. The fundamental material...
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Ill-Posedness and the Bias-Variance Tradeoff in Residual Stress Measurement Inverse Solutions
BackgroundRelaxation methods determine residual stresses by measuring the deformations produced by incremental removal of a subdomain of the...
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Experimental and Theoretical Investigations of Auxetic Sheet Metal
This paper deals with the mechanical and thermal behavior of aluminium sheets with a rectangular perforation structure exhibiting an auxetic...
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Artificial Intelligence in the Design of Innovative Metamaterials: A Comprehensive Review
Artificial intelligence-based algorithms are becoming essential tools in materials science-related fields because of their excellent functionality in...
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Application of Instrumented Indentation Test and Neural Networks to determine the constitutive model of in-situ austenitic stainless steel components
Over the last few decades, Instrumented Indentation Test (IIT) has evolved into a versatile and convenient method for assessing the mechanical...
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Development of the Hole-Drilling Method as Applied to the Study of Inhomogeneous Residual Stress Fields
Abstract—A method of experimental and computational analysis of residual stress fields in flat parts based on mathematical processing of deformation...
