Aeroacoustic simulation delivers breakthroughs in aircraft noise reduction

Simulated radiated sound field from a full-scale business jet during landing with flaps and main landing gears deployed. Credit: NASA Langley Research Center

Aircraft manufacturers face increasingly stringent standards for reducing community noise. Conventional aircraft development methods based on engineering experience, past designs and flight testing will not suffice to meet future noise reduction targets. Computational fluid dynamics (CFD) software based on so-called Reynolds-averaged Navier-Stokes (RANS) methods has revolutionized aircraft aerodynamics engineering, but is insufficient for high-fidelity aeroacoustic simulation. However, the Lattice-Boltzmann-based technology of Exa Corporation’s PowerFLOW software provides aeroacoustic simulation accuracy comparable to wind tunnels and flight testing. Today, PowerFLOW’s unique value and benefits for aeroacoustic simulation are being proven in practice by NASA, Embraer and others deploying the software to achieve breakthroughs in aircraft noise prediction and mitigation. Download the white paper to continue reading

Democratizing thermal modeling with a cloud-based simulation app

This test project for high-performance computing (HPC) in the cloud was designed to explore how cloud HPC resources can help to speed up and enable high-performance finite element simulations carried out with COMSOL Multiphysics and COMSOL Server. The objective was to find out how HPC cloud providers can augment engineering organizations’ on-premise hardware to allow for more detailed and faster simulations. Continue reading

The heating/cooling sleeve around the reactor is thin. The image shows surface temperature of the fluid at the end of the heating phase of the thermal cycle (scale colormap). The swirling flow from the bottom right inlet to the upper left outlet is clearly visible. Source: ForCES and UberCloud

SmartUQ: Uncertainty Quantification for more realistic engineering and systems analysis

SmartUQ is a software tool for uncertainty quantification (UQ) and engineering analytics that heightens fidelity of engineering and systems analysis by taking account of real-world variability and probabilistic behavior.

UQ is the science of quantifying, characterizing, tracing and managing uncertainty in both computational and real-world systems. UQ seeks to address the problems associated with incorporating real-world variability and probabilistic behavior into engineering and systems analysis. Nominal—that is, idealized—as opposed to real-world simulations and tests answer the question: What will happen when the system is subjected to a single set of inputs? UQ moves this question into the real world by asking: What is likely to happen when the system is subjected to a range of uncertain and variable inputs? Continue reading

Sources of uncertainty. Source: SmartUQ

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