A fast computational model for near-and far-field noise prediction due to offshore pile driving
| Autor: | Apostolos Tsouvalas, Andrei V. Metrikine, Yaxi Peng, Tasos Stampoultzoglou |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2021 |
| Předmět: |
Acoustics and Ultrasonics
Computer science Acoustics Rotational symmetry Near and far field 02 engineering and technology 021001 nanoscience & nanotechnology Noise Arts and Humanities (miscellaneous) 0202 electrical engineering electronic engineering information engineering Wavenumber 020201 artificial intelligence & image processing Submarine pipeline Tensor 0210 nano-technology Pile Seabed |
| Zdroj: | The Journal of the Acoustical Society of America, 149(3) |
| ISSN: | 0001-4966 |
| Popis: | This paper presents a computationally efficient modeling approach for predicting underwater noise radiation from offshore pile driving. The complete noise prediction model comprises two modules. First, a sound generation module is adopted to capture the interaction between the pile, the fluid, and the seabed, aiming at modeling the sound generation and propagation in the vicinity of the pile. Second, a sound propagation module is developed to propagate the sound field at larger distances from the pile. To couple the input wavefield obtained from the sound generation module, the boundary integral equations (BIEs) are formulated based on the acousto-elastodynamic reciprocity theorem. To advance the mathematical formulation of the BIEs, the Green's tensor for an axisymmetric ring load is derived using the complex wavenumber integration technique. The model advances the computational efficiency and flexibility of the noise prediction in both near-and far-fields from the pile. Finally, model predictions are benchmarked against a theoretical scenario and validated using measurement data from a recent offshore pile-installation campaign. |
| Databáze: | OpenAIRE |
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