Project

H2020 EID - LIVE-I : Lightweight and innovative gear transmissions

Goal: LIVE-I stands for Lightening and Innovating transmission for improving Vehicle Environmental Impacts.

The LIVE-I project main objective is to achieve breakthrough technological progress in the design of lightweight gear transmission by introducing new paradigms in the design of components, using meta-materials, studying the robustness of a given optimization with respect to real manufacturing conditions, developing smart concepts in accordance with vibroacoustic comfort and sustainability.

This European Industrial Doctorates has received funding from the European Union’s Horizon 2020 research and innovation programme under Marie-Curie grant.

For further information, visit http://livei.fr

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Barbara Zaparoli Cunha
added a research item
Surrogate models are data-based approximations of computationally expensive simulations that enable efficient exploration of the model's design space and informed decision-making in many physical domains. The usage of surrogate models in the vibroacoustic domain, however, is challenging due to the non-smooth, complex behavior of wave phenomena. This paper investigates four Machine Learning (ML) approaches in the modelling of surrogates of Sound Transmission Loss (STL). Feature importance and feature engineering are used to improve the models' accuracy while increasing their interpretability and physical consistency. The transfer of the proposed techniques to other problems in the vibroacoustic domain and possible limitations of the models are discussed.
Barbara Zaparoli Cunha
added a research item
The use of Machine Learning (ML) has rapidly spread across several fields, having encountered many applications in Structural Dynamics and Vibroacoustic (SD&V). The increasing capabilities of ML to unveil insights from data, driven by unprecedented data availability, algorithms advances and computational power, enhance decision making, uncertainty handling, patterns recognition and real-time assessments. Three main applications in SD&V have taken advantage of these benefits. In Structural Health Monitoring (SHM), ML detection and prognosis lead to safe operation and optimized maintenance schedules. System identification and control design are leveraged by ML techniques in Active Noise Control (ANC) and Active Vibration Control (AVC). Finally, the so-called ML-based surrogate models provide fast alternatives to costly simulations, enabling robust and optimized product design. Despite the many works in the area, they have not been reviewed and analyzed. Therefore, to keep track and comprehend this ongoing integration of fields, we intend to make the first survey of ML applications in SD&V analyses, shedding light on the current state of implementation and emerging opportunities. For each of the three applications mentioned, we identified the main methodologies, advantages, limitations, and recommendations based on scientific knowledge. Moreover, we discuss the role of Digital Twins and Physics Guided ML to overcome current challenges and power future research progress. As a result, the survey provides a broad overview of the present landscape of ML applied in SD&V and guides the reader to an advanced understanding of progress and prospects in the field.
Pascal Fossat
added an update
A very warm welcome to our 9 PhD candidates!
We are delighted to have them in the LIVE-I project.
Learn more about them at : https://livei.fr/phd-candidates/
Welcome onboard!
 
Pascal Fossat
added an update
Last days to apply for our 9 PhD positions related to lightening gearboxes using composite materials, structural optimization, machine learning, vibration control, NVH,...
Learn more about the H2020 MSCA LIVE-I Project and apply online at https://livei.fr/
 
Pascal Fossat
added a project goal
LIVE-I stands for Lightening and Innovating transmission for improving Vehicle Environmental Impacts.
The LIVE-I project main objective is to achieve breakthrough technological progress in the design of lightweight gear transmission by introducing new paradigms in the design of components, using meta-materials, studying the robustness of a given optimization with respect to real manufacturing conditions, developing smart concepts in accordance with vibroacoustic comfort and sustainability.
This European Industrial Doctorates has received funding from the European Union’s Horizon 2020 research and innovation programme under Marie-Curie grant.
For further information, visit http://livei.fr