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Papers
61,005 resultsShowing papers similar to Mechanical structural health prognosis with nonlinear mixed frequency ultrasonic signal analysis
ClearNonlinear ultrasonics for material state awareness
This paper reviews nonlinear ultrasonic techniques for detecting early-stage material damage in metal structures before visible cracks appear, by measuring changes in the material's internal microstructure. The study is focused on structural engineering and materials testing, with no direct relevance to microplastic pollution.
Influence of Defects on the Structural-phase State of Welded Joints and Parameters of Acous
This technical paper examines how iron impurities in aluminum affect the microstructure and ultrasonic properties of aluminum alloy welds. This is a metallurgy and welding engineering paper with no connection to microplastics or environmental health.
An Acoustic Emission Method for Assessing the Degree of Degradation of Mechanical Properties and Residual Life of Metal Structures under Complex Dynamic Deformation Stresses
This engineering paper presents an acoustic emission method for monitoring the structural health and remaining life of metal structures under complex stress conditions. It has no relevance to microplastic or environmental health research.
Development of an ultrasonic NDE&T tool for yield detection in steel structures
This engineering dissertation developed and tested ultrasonic non-destructive techniques for detecting when steel structural components have been stressed beyond their yield point. This is a structural engineering study with no relevance to microplastic pollution.
Study on Acoustic Emission Characteristics of Fatigue Damage of A7N01 Aluminum Alloy for High-Speed Trains
Not relevant to microplastics — this study uses acoustic emission monitoring to detect fatigue micro-cracks in aluminium alloy used in high-speed train manufacturing, with no connection to plastic pollution.
Nonlinear Lamb Wave for Structural Incipient Defect Detection with Sequential Probabilistic Ratio Test
Researchers developed a nonlinear Lamb wave ultrasonic inspection method combined with sequential probabilistic ratio testing to detect incipient fatigue defects in aluminum alloy structures, demonstrating improved sensitivity for early-stage material degradation identification.
Fatigue crack initiation detection by an infrared thermography method
This engineering paper studied temperature changes during high-frequency fatigue testing of metals using infrared thermography, identifying early indicators of crack initiation. This is a materials engineering study with no connection to microplastics or environmental health.
Study on Microstructure Evolution Mechanism of Gradient Structure Surface of AA7075 Aluminum Alloy by Ultrasonic Surface Rolling Treatment
Not a microplastics paper — this materials science study investigates how ultrasonic surface rolling treatment changes the grain structure of aluminum alloy surfaces at the nanoscale, improving strength and fatigue resistance for engineering applications.
Highly Sensitive Nonlinear Identification to Track Early Fatigue Signs in Flexible Structures
Researchers developed a physics-based and data-driven nonlinear system identification approach for detecting and tracking early fatigue damage in flexible aluminum structures subjected to vibration. The method estimates nonlinear parameters including geometric stiffness and cubic damping as a function of fatigue cycles, enabling real-time structural health monitoring.
Fatigue Failure Assessment in Ultrasonic Test Based on Temperature Evolution and Crack Initiation Mechanisms
This study examined how temperature changes and crack formation can be used to detect fatigue failure in materials during ultrasonic testing. Researchers found that thermal imaging can identify fatigue damage earlier than conventional methods. The work advances non-destructive testing techniques for structural materials.
Thermo‐based fatigue life prediction: A review
Not relevant to microplastics — this review covers thermography-based methods for predicting the fatigue life of metals under cyclic stress, with no connection to plastic pollution or environmental health.
Microplasticity Detected by an Acoustic Technique
This materials science paper describes an acoustic technique that detects microplastic deformation events — tiny slip occurrences within metal crystals during loading — by monitoring longitudinal oscillations. 'Microplasticity' here refers to microscale plastic deformation in crystalline materials and is unrelated to environmental plastic pollution.
Fatigue-Limit Assessment via Infrared Thermography for a High-Strength Steel
Despite its title referencing infrared thermography, this paper tests whether thermal imaging techniques can accurately assess the fatigue limits of high-strength steel under cyclic stress loading — not microplastic pollution. It examines materials engineering for metal fatigue testing and is not relevant to microplastics or human health.
A Review of Damage, Void Evolution, and Fatigue Life Prediction Models
This engineering review summarizes models for predicting how damage, voids, and fatigue cause materials such as metals and composites to fail over time. This materials science paper is not related to microplastic environmental contamination.
Deformation and dissipated energies for high cycle fatigue of 2024-T3 aluminium alloy
This materials engineering study used infrared thermography and digital image correlation to measure energy dissipation in aluminum alloy during high-cycle fatigue, relating tiny temperature changes to microplastic deformation at the crystal level. This is an engineering study on metal fatigue with no relevance to environmental microplastics.
An Approach for Predicting the Low-Cycle-Fatigue Crack Initiation Life of Ultrafine-Grained Aluminum Alloy Considering Inhomogeneous Deformation and Microscale Multiaxial Strain
A fatigue crack initiation life prediction model was developed for ultrafine-grained aluminum alloy by separately accounting for the crack nucleation and small crack propagation stages using grain-scale deformation parameters. The model distinguished between inhomogeneous deformation and multiaxial strain as contributing factors. More accurate fatigue life predictions improve the safety and efficiency of lightweight metal structures.
Analysis of fatigue crack initiation in cyclic microplasticity regime
This engineering study analyzed how fatigue cracks begin in metals under cyclic loading, focusing on microscale stress and material defects. It is a materials science paper not related to environmental microplastics.
Fatigue Damage Evaluation of Aviation Aluminum Alloy Based on Strain Monitoring
Researchers developed a metal fatigue damage model for aerospace aluminum alloy using real-time strain monitoring combined with crystal plasticity finite element analysis, establishing a constitutive relationship between strain and damage prior to microcrack initiation. Electron backscatter diffraction analysis validated the model's accuracy in predicting fatigue damage states under various stress conditions.
Application and Lightweight Research of New Aluminum Alloy Materials in Automotive Components
Despite its title referencing lightweight materials for vehicles, this paper studies new aluminum alloy compositions designed to reduce car body weight while improving strength and corrosion resistance — not microplastic pollution. It examines alloy microstructure and mechanical performance for automotive applications, and is not relevant to microplastics or human health.
Rapid estimation of fatigue limit for C45 steel by thermography and digital image correlation
This materials engineering study used thermography and digital image correlation to rapidly estimate the fatigue limit of steel, linking temperature and mechanical changes to the onset of microplastic deformation in metal. It is a mechanical engineering paper not related to environmental microplastics.
Determination of energy dissipation during cyclic loading and its use to predict fatigue life of metal alloys
This paper is not about microplastics — it develops a mathematical method for predicting the fatigue life of metal alloys from energy dissipation during cyclic loading.