1712 papers
This study develops a valley-adapted 3D analytical formula for earth pressure in composite face rockfill dams that overcomes the limitations of conventional 2D theories by quantifying how specific valley morphological parameters significantly govern pressure magnitude and distribution, thereby providing a theoretical basis for the refined design and safety monitoring of such structures.
This paper presents a comprehensive multi-sensor dataset of a single-segment tendon-driven continuum robot undergoing quasi-static and dynamic motions with contact interactions, featuring six synchronized sensing modalities and organized into subsets to support research in mechanical parameter identification, dynamics modeling, state estimation, and contact interaction analysis.
This study utilizes a 6-degree-of-freedom robotic system to characterize the high variability and non-linear shear force behavior of an NFL natural turfgrass surface under diverse vertical loads, revealing fundamental mechanical differences from synthetic surfaces that may help explain performance inconsistencies and injury risks.
This study proposes a physics-constrained inversion framework that combines a quasi-static mechanical model, finite-element analysis, and a physics-informed neural network to accurately identify equivalent interfacial friction coefficients and load-transfer behaviors in high-speed wedge-loading planetary traction drives, significantly outperforming baseline models in efficiency and accuracy.
This study develops an integrated decision-support framework comparing reinforced-concrete skeletal and masonry load-bearing systems for low-rise residential buildings in Egypt, revealing that while the latter offers superior resource efficiency, cost savings, and lower carbon emissions, the former provides greater architectural flexibility, ultimately supporting informed early-stage structural selection through a multi-criteria evaluation including a proposed Sustainability Efficiency Index and regional suitability assessment.
This study reformulates the energy-based excess pore pressure model for saturated clean sands by interpreting it as a solution to a Cauchy–Euler ordinary differential equation, thereby ensuring physical boundedness, reducing calibration to a single parameter, and achieving high accuracy across various relative densities.
This study utilizes MATLAB and ANSYS simulations to demonstrate that the irregular road bumps common in Jordan cause significantly higher vibration, stress, and fatigue damage compared to standard profiles, thereby reducing ride comfort and suspension durability while advocating for standardized, smooth bump designs to improve vehicle performance and longevity.
This study proposes a novel hybrid feature-engineered XGBoost framework that integrates an enhanced Soil Conservation Curve Number method with advanced temporal feature engineering to achieve superior rainfall-runoff inflow prediction for the Ukai Dam, significantly outperforming traditional machine learning and deep learning models in accuracy and reliability for water resource management.
This paper presents a low-cost, single-channel 60 GHz radar system that achieves rapid and motion-resilient contactless heart rate monitoring by employing a novel maximum-energy-variance criterion and phase differencing techniques to overcome the dual challenges of respiration masking and the speed-resolution trade-off, demonstrating 95.1% accuracy across diverse motion scenarios within a 5-second window.
This paper presents a cost-effective, intelligent robotic walker prototype that utilizes sensor fusion and efficient actuation to achieve high-accuracy obstacle detection and autonomous navigation, significantly enhancing mobility independence for elderly users.