1616 papers
This study utilizes a hybrid global/local optimization algorithm coupled with high-fidelity CFD simulations to design a foldable box-wing drone configuration that achieves a 16% improvement in aerodynamic efficiency and a 22% increase in the combined lift–efficiency objective compared to the initial design.
This paper proposes a wide area protection method for AC networks with HVDC-connected inverter-based resources that utilizes PMU data to identify suspected buses and employs superimposed current polarity analysis at line terminals to accurately detect and locate faults while distinguishing them from power swings, as validated through PSCAD/EMTDC simulations on a modified IEEE 39-Bus system.
This study proposes an enhanced hyperspectral oil spill detection framework that integrates 3D-CNNs with anomaly-aware feature fusion using PCA and Isolation Forest, achieving superior accuracy and robustness in distinguishing oil spills from look-alike phenomena compared to baseline methods on the HOSD dataset.
This study utilizes Taguchi-based drilling experiments and machine learning algorithms to demonstrate that feed rate is the dominant factor affecting thrust force and torque in Wood Plastic Composite drilling, with the Random Forest model emerging as the most accurate predictor for optimizing process parameters to minimize these forces.
This study designs, numerically optimizes, and fabricates a bio-inspired bouligand-structured bone scaffold composed of 90% hydroxyapatite, 9.9% barium titanate, and 0.1% graphene with 70% infill, demonstrating its potential to achieve an optimal balance of mechanical strength, piezoelectricity, and permeability for bone tissue engineering applications.
This documentary and comparative-analytical study synthesizes existing literature on 3D-printed auxetic resonant metamaterials to develop a comprehensive technology-transfer roadmap for adapting South Africa's deep-mining seismic experience to mitigate shock waves in Peru's tunnels, while identifying critical low-frequency attenuation gaps for future prototype development.
This paper proposes a distributed optimization-based framework for the coordinated planning of transmission and energy storage in multi-regional power systems, which effectively reduces total annual costs and improves renewable energy accommodation compared to independent or single-component planning strategies.
This study utilizes a 3D Computational Fluid Dynamics reconstruction with the rhoCentralFoam solver to analyze the 2025 Ezeiza explosion, demonstrating that local wave-structure interactions like channeling and refocusing, rather than simple stand-off distance, were the primary drivers of the observed structural damage and twisting.
This paper presents a probabilistic reliability assessment of a Cessna 172 main wing spar under uncertain aerodynamic and harmonic loads using Monte Carlo simulation, revealing that resonance significantly impacts failure probability and identifying the second and third vibration modes as the most critical excitation bands.
This study establishes a rigorous verification and statistical validation workflow for mesh-based A356 aluminum gravity casting simulations, demonstrating that a converged finite-volume model accurately predicts filling and solidification behaviors while confirming pouring temperature as the dominant factor influencing porosity through quantitative correlation with experimental Density Index measurements.