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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A Hyperbolic Moment Based Shallow Water Model for Coupled Bedload Suspended Load Morphodynamics with Variable Density
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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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.