FetchCFD

Simulating a 2D acoustic (pressure) pulse in water with NumericalAI (https://numericalai.net/) 🌊🔊
A Gaussian source launches a short pressure wave and we track how it propagates across a 1 cm × 1 cm domain using high-order numerics (WENO/TENO). Results show clean pressure and x-velocity wave patterns over time.

This simulation visualizes a 3D supersonic bow shock forming around a sphere using NumericalAI (https://numericalai.net/). The simulation reproduces a stable, symmetric detached bow shock with realistic curvature and a developing wake downstream, making it an ideal reference case for validating compressible immersed boundary methods (IBM) and shock-capturing techniques.

Details about this simulation on FetchCFD: https://fetchcfd.com/view-project/5938-3d-ibm-bow-shock-cfd-simulation

Here’s a cool fluid simulation made with NumericalAI (https://numericalai.net/)! It shows a two-dimensional Kelvin–Helmholtz instability, a process that happens when two layers of fluid moving at different speeds start to mix. The smooth interface between them ripples, twists, and turns into beautiful wave-like patterns and swirling vortices.

This kind of motion shows up all over nature from the waves you see in clouds and the ocean to patterns in planetary atmospheres and even space plasmas. It’s a fascinating reminder that the same physics can shape both our skies and the stars.

CFD simulation of high-pressure two-fluid bubble expansion using NumericalAI (https://numericalai.net/). Pressure contours showing the radially symmetric pressure wave generated by the expansion of the initially high-pressure bubble into the ambient medium.

This simulation depicts a three-dimensional Taylor–Green vortex (TGV) computed using NumericalAI (https://numericalai.net/) in a triply periodic cubic domain. The flow is initialized with the classical Taylor–Green configuration and evolved at a Reynolds number of Re = 1600 with viscosity enabled, a well-established benchmark for studying the transition from coherent vortical motion to broadband, decaying turbulence. The visualization shows the normalized velocity magnitude, highlighting relative spatial variations and revealing the multi-scale organization of energetic structures, even in regions of lower absolute velocity. Together, these results illustrate the solver’s capability to accurately capture vortex stretching, breakdown, and the emergence of complex turbulent structures characteristic of the TGV benchmark.

This simulation presents a 3D acoustic bubble-screen scenario computed using NumericalAI (https://numericalai.net/), in which a planar ultrasonic pulse propagates through water and interacts with a dense cloud of Lagrangian bubbles.

Simulation of low-Mach Gresho vortex computed with NumericalAI (https://numericalai.net/). The image shows pressure contours, highlighting the characteristic low-pressure center and surrounding high-pressure ring of the Gresho vortex.

2D shock-bubble cfd simulation with NumericalAI (https://numericalai.net/). The image shows contours of 𝛼2 (volume fraction of fluid 2), clearly delineating the bubble interface as it begins to distort under shock loading.