Publikationer

Baclet, S., Tengzelius, U., Orrenius, U., Rumpler, R. (2026), Proceedings of Quiet Drones 2026: Combined drone and road-traffic noise modelling for dynamic exposure assessment in cities. fullpaper.17.Baclet et al. – Combined drone and road traffic

Orrenius, U.,Tengzelius, U. & Åbom, M. (2026), Proceedings of QuietDrones 2026: .Towards accurate UAV source models for noise mapping

Reliable noise mapping is much needed to manage noise exposure from novel drone traffic in Urban Air Mobility (UAM). Dedicated noise mapping tools, such as SAFTu, NoiseModelling, and SoundPLANnoise, require accurate source models that represent the sound emissions of the drone in operation

Orrenius, U., Tengzelius, U.  Baclet, S., Rumpler, R., Åbom, M. and  Ulfvengren, P. (2026), Proceedings of Baltic Nordic Acoustic meeting 2026: Noise from drones: Measurement, modelling and mitigation. BNAM2026_Paper112_Orrenius

 

Rose, L. M., Orrenius, U. E., & Neumann, P. (2025). Predicting Discomfort from Workload Parameters – Towards the Design of Comfortable Work. IISE Transactions on Occupational Ergonomics and Human Factors, 1–17. 

 

PD_repetitive_work250122
Calculated perceived discomfort for Scenario 1: - - blue dashed line and for Scenario 2: - red solid line. The steady state level reached for Scenario 2 at PD = 2.8 is indicated by a grey horizontal dashed line.

Proceedings of Internoise 2024: ”Weight minimization of train floors with structural and acoustic constraints”.

Proceedings of DICAUM 2024: ” Noise simulation for UAM integration- Application to a health-care logistics system”.

UAV Trajectory
Landing at SÖS Copter

Proceedings of Internoise 2022: ”Modelling of train floor sound transmission using coupled FE-SEA analysis”.

 

Rulla till toppen