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Damage Identification Using Measured and Simulated Guided Wave Damage Interaction Coefficients Predicted Ad Hoc by Deep Neural Networks
Published 2025-03-01“…This technique employs the so-called wave damage interaction coefficients (WDICs) as highly sensitive damage features that describe the unique scattering pattern around possible damage. …”
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Delamination Detection in CFRP Stringers with A<sub>0</sub>-Mode Lamb Wave Curvature
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Damage Localization Using Fiber Bragg Grating Sensors in Self-referencing Conguration: A Numerical Study
Published 2025-07-01“… This study investigates a self-referencing method for damage detection and localization using guided waves (GW) sensed by fiber Bragg grating (FBG) sensors. …”
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The Effect of Initiation Time Delay and Sequencing on Rock Damage in Multi-Hole Blasting
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A Damage Classification Approach for Structural Health Monitoring Using Machine Learning
Published 2018-01-01“…Inspection strategies with guided wave-based approaches give to structural health monitoring (SHM) applications several advantages, among them, the possibility of the use of real data from the structure which enables continuous monitoring and online damage identification. …”
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Advancements and future prospects in the fundamental theories of rock blasting research Ⅳ — Damage evaluation
Published 2025-04-01“…The “constitutive relationship,” “dynamic-static relationship,” and “interaction mechanism between blast waves and cracks” are key approaches to solving scientific issues, whereas “damage evaluation” effectively assesses blasting effects. …”
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COQTEL project dataset : Corrosion quantification trough extended use of Lamb wavesZenodo
Published 2025-04-01“…The collected dataset collected can facilitate the development of Structural Health Monitoring (SHM) algorithms and methodologies, provide data for waves/damage interaction modeling, and help bridging the gap between research and industry in this domain.…”
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Review of the Research on Underwater Explosion Ice-Breaking Technology
Published 2025-07-01“…Underwater explosion ice-breaking technology is critical for Arctic development and ice disaster prevention due to its high efficiency, yet it faces challenges in understanding the coupled dynamics of shock waves, pulsating bubbles, and heterogeneous ice fracture. …”
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On the design of some devices for localization and extinguishing wildfires of different intensities
Published 2020-03-01“…Development of devices for localizing and extinguishing wildfires of various intensities is considered, based on knowledge of flame structure, including drying, heating, pyrolysis and mixing with atmospheric oxygen zones, which can be affected by relatively low energy disturbances (shock waves) minimizing environment damage. Theoretical and experimental studies show that shock waves lead to increasing pressure in them at the time of interaction with unstable zones, which increases the suppression efficiency further. …”
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High Absorption Broadband Ultra-Long Infrared Absorption Device Based on Nanoring–Nanowire Metasurface Structure
Published 2025-05-01“…Using FDTD electromagnetic field analysis to visualize the electric field and magnetic field strength distribution within the absorber, the electromagnetic field at the interface in the nanoring–nanowire metasurface structure, promote the surface plasmon resonance and interaction with damaged materials, and improve the light absorption efficiency. …”
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Optimization of acousto-ultrasonic sensor networks using genetic algorithms based on experimental and numerical data sets
Published 2017-11-01“…Aircraft structural damage detection is becoming of increased importance. …”
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Numerical Simulation of Earthquake Impacts on Marine Structures: A Comprehensive Review
Published 2024-12-01“…Future advancements in computational capabilities and techniques, such as high-resolution DNS for wave–structure interactions and improved near-field seismoacoustic modeling show potential for enhancing simulation accuracy. …”
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Study on Compound Percussive Drilling: Rock‐Breaking Mechanism of High Confining Pressure Formation in the East China Sea
Published 2025-07-01“…ABSTRACT The effect of improving the depth of penetration (ROP) in deep, high‐confining pressure formation is closely related to the rock‐breaking method, which has become a bottleneck restricting the efficient development of oil and gas. Based on the current engineering practice of the Xihu block in the East China Sea Basin, experimental research on rock mechanical characteristics in deep strata was carried out, and a three‐dimensional rock‐breaking numerical model of the compound percussive system was established to simulate the dynamic single‐cutter‐rock interaction. …”
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METTL16 is Required for Meiotic Sex Chromosome Inactivation and DSB Formation and Recombination during Male Meiosis
Published 2025-01-01“…METTL16 depletion results in a significantly upregulated transcriptome on sex chromosomes in pachytene spermatocytes and leads to reduced DSB formation and recombination, and increased SYCP1 depositioin during the first wave of spermatogenesis. Mechanistically, in pachytene spermatocytes, METTL16 interacts with MDC1/SCML2 to coordinate DNA damage response (DDR) and XY body epigenetic modifications that establish and maintain MSCI, and in early meiotic prophase I, METTL16 regulates DSB formation and recombination by regulating protein levels of meiosis‐related genes. …”
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Turning a polystyrene microsphere into a multimode light source by laser irradiation
Published 2022-10-01“…However, the PS microsphere is found to be damaged by high temperature based on morphology examination. …”
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Machine learning approach for 2D abrasion mapping in Sediment Bypass Tunnels: a case study of Koshibu SBT, Japan
Published 2025-12-01“…The developed abrasion map accurately captures various complex patterns throughout the tunnel but has some limitations in areas with small wave-like patterns. Overall, this study demonstrates the potential of machine learning algorithms for predicting tunnel abrasion in SBTs.Paper highlightsThis study introduces a validated 2D model for tunnel abrasion based on field data, contributing to improved sediment management in SBTs.ASM Model efficiently predicts abrasion mapping in SBT, achieving 86.4% overall accuracy.High sensitivity and specificity in distinguishing abraded and non-abraded areas.Captures four complex abrasion patterns in straight and curved sections but is limited to relatively small wave-like patterns.Geometric and hydraulic parameters, particularly the elongated distance and flow velocity, exhibit significant impacts in the ASM model.…”
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