1712 papers
This study presents a probabilistic framework using large-scale travel survey data and Gaussian Mixture Models to model electric vehicle availability, revealing that deterministic assumptions significantly overestimate grid integration potential by neglecting stochastic mobility and charging constraints.
Through systematic laboratory experiments involving 60 trials, this study demonstrates that inclined bridge piers significantly reduce scour depth—by up to 72% at a 30° angle—by altering flow dynamics and weakening horseshoe vortices, thereby providing a validated empirical model and practical guidelines for enhancing structural resilience in clear-water conditions.
This paper proposes and simulates an automated, scalable "Green Corridor" system that utilizes geotags, GPS, and camera-based detection to preemptively optimize traffic signals for emergency vehicles without requiring hardware installation, achieving a 65% reduction in response times and enhancing hospital preparedness through real-time alerts.
This study utilizes a computer-aided manufacturing tool to analyze tool-workpiece contact during the micro-grinding of dental prostheses, revealing that three-axis machining is limited by strong spatial variations in grinding speed and significant inaccessibility in critical anatomical regions, thereby highlighting the need for advanced multi-axis strategies to ensure functional restoration quality.
This experimental study demonstrates that integrating internal helical fins with Al₂O₃/water nanofluids in a counter-flow double-pipe heat exchanger significantly enhances thermal performance and overall efficiency, achieving a maximum Performance Evaluation Criterion of 1.33 despite a moderate increase in pressure drop.
This study analyzes Texas bike lane crash data from 2021–2024 using a hybrid framework of Random Parameters Logit models, SHAP interpretability, and BERTopic narrative analysis to reveal that while lighting and roadway context consistently influence injury severity, specific factors like helmet nonuse, turning movements, and driveway conflicts significantly elevate severe injury risks, underscoring the need for context-specific infrastructure and policy interventions.
This study challenges the conventional interrupted cutting paradigm in ultrasonic vibration-assisted drilling by demonstrating through kinematic modeling, experiments, and FEA that performance enhancements arise from continuous tool-chip interface modulation and micro-hammering effects rather than macro-separation, leading to improved chip breakage and reduced cutting forces.
This study combines theoretical analysis, numerical simulation, and industrial CT scanning to characterize the three-dimensional evolution and distribution of fractures in the coal wall of a large-mining-height longwall face, revealing that fracture development intensifies and orientation shifts as mining-induced disturbance increases, thereby providing critical insights for assessing coal wall stability and rib-spalling risks.
This study demonstrates that optimizing radial uncoupled charge parameters with specific spacer configurations in granite blasting significantly reduces explosive consumption and fines generation while improving block size uniformity and muckpile looseness.
This study demonstrates that 3D-printed 5-point swirl-star fuel grains with reverse ports significantly enhance the throttling responsiveness and dual-thrust stability of hybrid rocket engines, achieving rapid stabilization and minimal pressure fluctuations during active oxidizer flow modulation.