'turbulence' 검색 결과

Set up and run fluid dynamics simulations in Python to study turbulence, vortices, shallow water, and layered flows. Covers choosing equation solvers, configuring parameters, parallel execution, and plotting fields and energy spectra.

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• Simulate two-dimensional turbulence and vortices
• Study oceanic or atmospheric flows with density layers
• Compare simulation results across viscosity settings

Expert-level fluid mechanics covering fluid statics, continuity, Bernoulli, Navier-Stokes, boundary layers, turbulence, pipe flow, and external aerodynamics.

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Expert-level fluid physics knowledge. Use when working with fluid statics, fluid dynamics, Bernoulli equation, viscosity, turbulence, Navier-Stokes equations, boundary layers, vorticity, compressible flow, or surface tension. Also use when the user mentions 'Bernoulli', 'Navier-Stokes', 'Reynolds number', 'turbulence', 'viscosity', 'boundary layer', 'vorticity', 'continuity equation', 'laminar flow', 'pressure', 'buoyancy', or 'surface tension'.

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Computational fluid dynamics — Navier-Stokes solvers, lid-driven cavity, channel flow, vortex methods, turbulence statistics, drag/lift computation. Spectral and finite-difference methods for incompressible and compressible flows.

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Measure fluid velocity from pairs of particle images with OpenPIV. The skill covers image preparation, velocity calculation, correction of unreliable vectors, plotting, and calculation of vorticity and strain rate to examine flow patterns.

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• Measure velocity fields from experimental image pairs
• Detect and replace unreliable velocity vectors
• Calculate vorticity and strain rate

Build fire effects in Three.js, including fireballs, moving flame fronts, whirls, and smouldering ground. A reusable module combines rising flames, temperature-based color, smoke, sparks, heat distortion, and shared firelight, with a five-stage demonstration.

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• Creating held flames and thrown fireballs
• Building expanding walls and rings of fire
• Staging fire whirls with smoke columns

Framework for computational fluid dynamics simulations using Python. Use when running fluid dynamics simulations including Navier-Stokes equations (2D/3D), shallow water equations, stratified flows, or when analyzing turbulence, vortex dynamics, or geophysical flows. Provides pseudospectral methods with FFT, HPC support, and comprehensive output analysis.

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Use when a task needs the judgment of an air traffic controller — sequencing and spacing arrivals/departures, resolving a projected loss of separation, applying wake-turbulence separation between mismatched aircraft categories, deciding when to query a read-back, or working a facility through a saturation/traffic-management event.

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Framework for computational fluid dynamics simulations using Python. Use when running fluid dynamics simulations including Navier-Stokes equations (2D/3D), shallow water equations, stratified flows, or when analyzing turbulence, vortex dynamics, or geophysical flows. Provides pseudospectral methods with FFT, HPC support, and comprehensive output analysis.

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Hand-drawn paper-wireframe template — white paper background, monochromatic ink palette, SVG turbulence "wobble" filters for pen-quiver authenticity, handwritten fonts (Caveat / Kalam / Ma Shan Zheng / Long Cang), wavy dividers, sketch-rect overlays, marginalia annotations. For PRD illustrations, IA flow docs, low-fidelity layout exploration, "draft / not final" stakeholder communication. Three skeletons (single-page editorial / app multi-screen flow / IA sitemap) — pick one up front based on the artifact, do NOT inherit only the brush strokes.

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