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Development of an Empirical Model for Damage Degree Assessment in Steel Specimens Based on the Results of Statistical Processing of Acoustic Emission Signal Flow
AbstractThe study is devoted to applying the acoustic emission (AE) method to monitoring the state of structural materials at the inelastic and...
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Unsupervised Machine Learning for Automatic Image Segmentation of Impact Damage in CFRP Composites
In this work, a novel unsupervised machine learning (ML) method for automatic image segmentation of low velocity impact damage in carbon fiber...
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Reduced-Order Damage Assessment Model for Dual-Phase Steels
We present a microstructure and work hardening sensitive reduced-order model using random forest regression for predicting damage initiation in...
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Nanoparticles for inducing Gaucher disease-like damage in cancer cells
Nutrient avidity is one of the most distinctive features of tumours. However, nutrient deprivation has yielded limited clinical benefits. In Gaucher...
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Spatial distribution of primary radiation damage in microstructures
The leading theory of primary radiation damage in materials, by Norgett, Robinson, and Torrens (NRT), assumes that materials are homogeneous. This is...
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A Lightweight Damage Diagnosis Method for Frame Structure Based on SGNet Model
Due to the complex structure of most frame structure, a large amount of sensor data needs to be processed for damage diagnosis, which increases the...
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Advancing Damage Assessment of CFRP-Composite through BILSTM and Hilbert Upper Envelope Analysis
AbstractThe aerospace and automotive sectors widely use carbon fiber reinforced plastic because of its exceptional properties, including its high...
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Optimising Hyperparameters of Artificial Neural Network Topology for SHM Damage Detection and Identification
Artificial neural networks (ANNs) are a powerful method for solving classification problems, particularly for clustered data. However, one of the...
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Statistical Structural Integrity Control of Composite Structures Based on an Automatic Operational Modal Analysis — a Review
The operational modal analysis (OMA), as a passive technique, has found a practical application in the structural health monitoring (SHM) of...
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Study on the Judgment of Fatigue Damage Stages in Welds Based on Entropy Analysis
This study aims to explore the relationship between the weld fatigue stages and metal magnetic memory signals so as to address challenges in...
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Low-Velocity Impact Damage Quantification on Sandwich Panels by Thermographic and Ultrasonic Procedures
Composite sandwich structures are widely used for their mechanical properties combined to lightweight. However, damage area quantification caused by...
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On the Use of Machine Learning for Damage Assessment in Composite Structures: A Review
Composite materials are those formed by combining two or more different materials to take advantage of the best characteristics of each one. However,...
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Deep Learning for Time Series-Based Acoustic Emission Damage Classification in Composite Materials
AbstractAcoustic emission (AE) technology is of great importance for damage detection and classification in carbon fiber reinforced composite...
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Damage Mechanism of Ultra-thin Asphalt Overlay (UTAO) based on Discrete Element Method
Aiming to analyze the damage mechanism of UTAO from the perspective of meso-mechanical mechanism using discrete element method (DEM), we conducted...
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Local strain heterogeneity and damage mechanisms in zirconia particle-reinforced TRIP steel MMCs: in situ tensile testing with digital image processing
In this work, the microstructural deformation and damage mechanisms of TRIP steel metal matrix composites (MMCs) reinforced with Magnesia Partially...
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Inequality Indices Applied to Statistical Physics of Criticality in an Impregnated Fiber Bundle Model
Inequality indices (Hirsch and Kolkata) are used in social science and scientometrics. Previously, they were shown to have useful applications in...
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Statistical methods for design and testing of 3D-printed polymers
Different statistical methods are used in various fields to qualify processes and products, especially in emerging technologies like Additive...
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Statistical Microhardness Distribution Parameters and Their Relations with the Characteristics of Local Deformation and the Attenuation Coefficient of Ultrasonic Waves
Abstract —The results of the study of low-carbon and structural alloyed steels using microhardness, attenuation of ultrasonic waves, and local grain...
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Ductile shear damage micromechanisms studied by correlative multiscale nanotomography and SEM/EBSD for a recrystallized aluminum alloy 2198 T8
The damage mechanisms of ductile fracture under shear loading of an aluminum alloy 2198T8R were studied using flat thin-sheet samples. One sample was...
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Damage Recognition of Acoustic Emission and Micro-CT Characterization of Bi-adhesive Repaired Composites Based on the Machine Learning Method
Bi-adhesive repair method is one of several repair technologies that use the adhesive bonding approach for patch-repaired composites. However, these...
