# Analytical Prediction of Reflection Coefficients for Wave Absorbing   Layers in Flow Simulations of Regular Free-Surface Waves

**Authors:** Robinson Peri\'c, Moustafa Abdel-Maksoud

arXiv: 1705.06940 · 2017-11-13

## TL;DR

This paper develops an analytical theory to predict reflection coefficients in wave absorbing layers, enabling optimal parameter selection for flow simulations of regular free-surface waves, reducing boundary reflections effectively.

## Contribution

It introduces a general analytical model to predict wave reflection coefficients, aiding in the optimal tuning of absorbing layer parameters in flow simulations.

## Key findings

- The theory accurately predicts reflection coefficients in simulations.
- Validation shows satisfactory accuracy for practical applications.
- The model is applicable to various implementations of absorbing layers.

## Abstract

Undesired wave reflections, which occur at domain boundaries in flow simulations with free-surface waves, can be minimized by applying source terms in the vicinity of the boundary to damp the waves. Examples of such approaches are absorbing layers, damping zones, forcing zones, relaxation zones and sponge layers. A problem with these approaches is that the effectivity of the wave damping depends on the parameters in the source term functions, which are case-dependent and must be adjusted to the wave. The present paper presents a theory which analytically predicts the reflection coefficients and which can be used to optimally select the source term parameters before running the simulation. The theory is given in a general form so that it is applicable to many existing implementations. It is validated against results from finite-volume-based flow simulations of regular free-surface waves and found to be of satisfactory accuracy for practical purposes.

## Full text

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## Figures

75 figures with captions in the complete paper: https://tomesphere.com/paper/1705.06940/full.md

## References

35 references — full list in the complete paper: https://tomesphere.com/paper/1705.06940/full.md

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Source: https://tomesphere.com/paper/1705.06940