Published June 12, 2025 | Version v1.0.0
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Bidirectional surface scattering coefficients

  • 1. Institute for Hearing Technology and Acoustics, RWTH Aachen University

Description

This repository contains the research data for the article A. Heimes and M. Vorländer, “Bidirectional surface scattering coefficients,” Acta Acustica, Jun. 2025, doi: 10.1051/aacus/2025026.

It contains the measurement results, simulation results, and Python scripts used for the analysis.

Abstract

The prediction and modeling of sound propagation rely heavily on accurate representations of surface scattering. Traditional scattering coefficients, often based on random-incidence assumptions, fail to capture the directional dependence of sound reflections from rough surfaces. This paper introduces a methodology for determining and representing bidirectional surface scattering coefficients, moving beyond the limitations of existing Lambertian-based approaches. We propose a framework that leverages numerical simulations and physical measurements to compute bidirectional scattering coefficients from reflected sound pressure distributions with finite-size samples. The methodology is validated using a well-documented sinusoidal test surface, comparing our results with analytical solutions for infinite-size samples and former random-incidence scattering coefficient measurements. Additionally, we propose a data storage format compatible with the Spatially Oriented Format for Acoustics (SOFA) to facilitate the integration of bidirectional scattering coefficients into sound propagation models. This work provides a foundation for improved acoustic simulations in applications ranging from room acoustics to urban noise control.

Files

README.md

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Additional details

Related works

Is supplement to
Publication: 10.1051/aacus/2025026 (DOI)

Funding

Deutsche Forschungsgemeinschaft
Novel metrics for characterization of surfaces for sound scattering and beam steering 456072683

Dates

Accepted
2025-06-12

Software

Programming language
Python