Derives and validates the hyperbolic HSWEMED model coupling shallow water moments, suspended load, variable density, and bedload morphodynamics with erosion-deposition, showing improved accuracy on dam-break tests.
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A locally adaptive non-hydrostatic extension to shallow water equations reduces computational cost by about 40% in tsunami scenarios by applying corrections only where indicated by depth and velocity metrics.
A behavioral data-driven framework based on Willems' lemma generates optimal open-loop slewing trajectories for rotary cranes that suppress load sway using limited input-output data and convex optimization.
In a VR study with natural walking, simulated height shortened stride length and lengthened gait duration while virtual legs further shortened strides at ground level.
citing papers explorer
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Two-Dimensional Locally Adaptive Non-Hydrostatic Extension of Shallow Water Equations
A locally adaptive non-hydrostatic extension to shallow water equations reduces computational cost by about 40% in tsunami scenarios by applying corrections only where indicated by depth and velocity metrics.
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Behavioral Data-Driven Optimal Trajectory Generation for Rotary Cranes
A behavioral data-driven framework based on Willems' lemma generates optimal open-loop slewing trajectories for rotary cranes that suppress load sway using limited input-output data and convex optimization.
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A Mixed VR and Physical Framework to Evaluate Impacts of Virtual Legs and Elevated Narrow Working Space on Construction Workers Gait Pattern
In a VR study with natural walking, simulated height shortened stride length and lengthened gait duration while virtual legs further shortened strides at ground level.