Uncertainty-Aware Prediction of Mass-Timber Floor Sound Insulation

Institut

Lehrstuhl für Akustik mobiler Systeme (TUM-ED)

Typ

Semesterarbeit / Masterarbeit /

Inhalt

theoretisch /  

Beschreibung

Motivation

While timber construction is gaining popularity, predicting its acoustic performance remains a significant challenge. Wooden floor systems typically consist of multiple layers, whose interactions yield complex sound insulation properties. At present, reliable assessment often requires costly experimental validation. Based on this data, machine learning models are developed to predict the sound insulation of wooden floors from laboratory measurements; sparse data and the inherent uncertainty motivate quantifying the prediction uncertainty. 

Your Task

A comprehensive set of measurement data has been collected and integrated into a MySQL database. Subsequently, feed-forward neural networks and tree-ensemble models have been optimized and trained in an initial comparative study to predict airborne and impact sound insulation.
In this thesis, you will elaborate on approaches to account for the aleatoric uncertainties inherent in the experimental training data, as well as epistemic uncertainties, e.g., arising from data sparsity, yielding a robust, interpretable predictive design tool.
Your contribution will play a crucial role in refining the existing predictive models and enabling a reliable assessment of the sound insulation of mass-timber floor constructions. By joining our team, you have the opportunity to apply your theoretical knowledge in a real-world context, gaining valuable insights into the development and deployment of machine learning solutions.

Voraussetzungen

• Knowledge of Python/PyTorch
• High motivation and a structured working style
• Experience in probabilistic modeling and hyperparameter optimization

Application

Please submit your application, including a brief statement of interest, your CV, and a transcript of records via email.

Möglicher Beginn

jetzt

Kontakt

Markus Mörwald, M.Sc.
Raum: MW1535
Tel.: 08928955136
markus.moerwaldtum.de

Ausschreibung