A quieter way to fly – Reducing jet engine noise through HPC research

Researchers from NUS are harnessing the power of supercomputing to understand the mechanism of noise generated by jet engines to reduce the impact of noise emission on the environment and human health.

Video surveillance systems have been around for many decades and are installed all around the world. Such systems help monitor the targeted surroundings, alerts the authorities to incidents and act as a deterrent in helping prevent crime. These camera systems are also used by commercial owners to protect their assets.

The noise generated by modern aircraft has been a long-standing noisepollution problem since the first commercial jet-engine-powered aircraft entered in the early 1950’s. The elevated acoustic noise levels from aviation in flight has serious adverse impact on the health and well-being of people who live or work near airports. These health problems include, but are not limited to, hearing impairment, sleep disturbance, increased stress levels and the increased risk of hypertension and heart disease, which affect all age groups, especially children.

 

A typical turbofan civilian aircraft during take-off can generate an overall sound pressure level (OASPL) of approximately 100 dB, measured about 100ft away from the runway centre line. Much of the noise emission from jet-engine-powered aircraft originate from the airframe and engines. The noise produced from jet exhaust is by far the major source of noise pollution especially for low bypass ratio engines.

 

To reduce its impact on the environment and health, it is essential to understand the mechanism of noise generation, which can be challenging due to the complex physics of turbulent flow and its interaction with the acoustic field. A team of researchers at NUS’ Temasek Laboratories are utilising NSCC’s supercomputing resources in an attempt to employ the computational aeroacoustics (CAA) method with high-fidelity numerical simulations to accurately resolve the jet flow and predict its noise emissions. The research hopes to improve the understanding of the underlying physical process of noise generation and radiation.

 

The noise generated by modern aircraft has been a long-standing noisepollution problem since the first commercial jet-engine-powered aircraft entered in the early 1950’s. The elevated acoustic noise levels from aviation in flight has serious adverse impact on the health and well-being of people who live or work near airports. These health problems include, but are not limited to, hearing impairment, sleep disturbance, increased stress levels and the increased risk of hypertension and heart disease, which affect all age groups, especially children.

 

A typical turbofan civilian aircraft during take-off can generate an overall sound pressure level (OASPL) of approximately 100 dB, measured about 100ft away from the runway centre line. Much of the noise emission from jet-engine-powered aircraft originate from the airframe and engines. The noise produced from jet exhaust is by far the major source of noise pollution especially for low bypass ratio engines.

 

To reduce its impact on the environment and health, it is essential to understand the mechanism of noise generation, which can be challenging due to the complex physics of turbulent flow and its interaction with the acoustic field. A team of researchers at NUS’ Temasek Laboratories are utilising NSCC’s supercomputing resources in an attempt to employ the computational aeroacoustics (CAA) method with high-fidelity numerical simulations to accurately resolve the jet flow and predict its noise emissions. The research hopes to improve the understanding of the underlying physical process of noise generation and radiation.

"For the noise prediction by CAA with high-fidelity fluid simulations, the smaller magnitude of acoustic pressure and the greater acoustic timescales require higher numerical schemes, finer mesh of computational domain and a larger number of time steps. The nature of the problems inevitably need huge amounts of computational resources. With the support of petascale CPU supercomputing resources and ample develop r tools from NSCC, the code development is facilitated and the simulation of jet noise is significantly accelerated and completed in just a few months. The small magnitude of acoustic pressure is well captured and the radiation of noise sources from the jet is predicted in the far- field. The advanced storage system of HPC from NSCC also allows longer storage of the heavy datasets and provides significant support for the post-processing."
Shan Ruiqin
Research Scientist
Temasek Laboratories
National University of Singapore

To find out more about how NSCC’s HPC resources can help you, please contact [email protected].

 

NSCC NewsBytes September 2021

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