Physics-based digital twins for enhanced vibro-acoustic sensing Seminar

The current energy crisis in Europe shows the importance to accelerate the transition to a more sustainable society and industry. The ability to sustainably design and monitor vehicles and machines is important to establish this transition. Concretely, to improve sustainability a delicate balance between health, profitability and environment needs to be found. As the WHO indicates in recent publications, noise pollution is one of the biggest current health risks, thus is an important consideration towards sustainability.

The digital twin paradigm has the potential to find this difficult to obtain balance. A digital twin is a digital copy of a physical asset that behaves the same as the physical asset. Thus, by using sensor data from the physical asset, it can make design/control/maintenance decisions. From an acoustics standpoint this has two potential advantages. Firstly, products can be designed to be more silent, while still being sustainable. Alternatively, cheap non-intrusive acoustic measurements can be leveraged to obtain difficult to measure quantities, such as full sound (intensity) field estimates.

In this seminar, a physics-based digital twin approach for acoustic monitoring will be introduced that works by combining physics-based (reduced-order) models with sparse measurement data from the structure under investigation in a state estimator. The performance of the approach will be shown with several use cases related to vibro-acoustic identification and direct field acoustic testing.