Analysis of Anthropogenic Noise due to Pile Driving Using Computational Fluid Dynamics

被引:0
|
作者
Crowley, Raphael [1 ]
Bosco, Moses [1 ]
Sypula, Dillon [1 ]
Schaaf, Amanda [3 ]
Rivera, Brandon [1 ]
Kopp, Brian T. [2 ]
Dally, William R. [1 ]
Gelsleichter, Jim [3 ]
机构
[1] Univ North Florida, Sch Engn, Taylor Engn Res Inst, Jacksonville, FL 32224 USA
[2] Jacksonville Univ, Engn, Jacksonville, FL USA
[3] Univ North Florida, Dept Biol, Jacksonville, FL USA
关键词
D O I
暂无
中图分类号
TU [建筑科学];
学科分类号
0813 ;
摘要
There has been a growing concern in recent years about the effects of anthropogenic noise due to pile driving on underwater wildlife. Current guidelines for mitigating hydroacoustic effects associated with these geotechnical events are based upon a relatively simple transmission loss formulation known as the Practical Spreading Loss Model (PSLM). This model is easy to implement, but it may produce overly conservative results. During a previous study, sound data during pile drives from two sites in Florida showed much higher sound attenuation than predicted by the PSLM at one of the sites. This study focused on explaining this discrepancy using computational fluid dynamics. Specifically, synthetic pile drives were simulated using Siemens' Star-CCM+. These models tracked sound decay from a single hammer blow that was imposed at a modeled pile using site-specific bathymetry data. Results showed that discrepancies between measured transmission loss coefficients and the practical spreading loss model could not be explained due to local bathymetry alone. However, if different sound absorption criteria were used at the sites' mudlines, the model was able to replicate results. The data therefore suggest that geotechnical conditions may play a significant role in determining anthropogenic sound loss due to pile driving.
引用
收藏
页码:15 / 25
页数:11
相关论文
共 50 条
  • [41] Analysis of Optimized Wind Turbine Failure Using Computational Fluid Dynamics
    Yadav, Shatjit
    Ramachandran, M.
    MATERIALS TODAY-PROCEEDINGS, 2017, 4 (02) : 1788 - 1793
  • [42] Consequence analysis of aqueous ammonia spill using computational fluid dynamics
    Galeev, A. D.
    Salin, A. A.
    Ponikarov, S. I.
    JOURNAL OF LOSS PREVENTION IN THE PROCESS INDUSTRIES, 2013, 26 (04) : 628 - 638
  • [43] Analysis of new forms of orifice plates using computational fluid dynamics
    Halas, Dragan P.
    Bera, Oskar J.
    Omorjan, Radovan P.
    Rajic, Aleksandar A.
    Jasin, Danijela M.
    HEMIJSKA INDUSTRIJA, 2019, 73 (05) : 311 - 323
  • [44] Performance analysis of HCCI and PCCI engines using computational fluid dynamics
    Upadhyay, Pushpendra
    Rana, K. B.
    Tripathi, B.
    INTERNATIONAL JOURNAL OF ENVIRONMENT AND SUSTAINABLE DEVELOPMENT, 2021, 20 (02) : 129 - 149
  • [45] HYDRODYNAMIC ANALYSIS OF MACROALGAE LOCAL MODEL USING COMPUTATIONAL FLUID DYNAMICS
    Chen, Ming
    Yim, Solomon C.
    Cox, Daniel
    Yang, Zhaoqing
    Mumford, Thomas
    PROCEEDINGS OF THE ASME 39TH INTERNATIONAL CONFERENCE ON OCEAN, OFFSHORE AND ARCTIC ENGINEERING, OMAE2020, VOL 6B, 2020,
  • [46] Stability Analysis of a Light Aircraft Configuration using Computational Fluid Dynamics
    Mahdi, Mohammed
    Elhassan, Yasser A.
    AEROTECH IV: RECENT ADVANCES IN AEROSPACE TECHNOLOGIES, 2012, 225 : 391 - 396
  • [47] Analysis and hydraulic improvement of a maturation pond using Computational Fluid Dynamics
    Velazquez-Araque, Luis
    Chica, Johan
    REVISTA FACULTAD DE INGENIERIA-UNIVERSIDAD DE ANTIOQUIA, 2023, (109): : 56 - 68
  • [48] Fire safety analysis of a railway compartment using Computational Fluid Dynamics
    Enbaya, Anwar
    Asim, Taimoor
    Mishra, Rakesh
    Raj Rao, B.K.N.
    International Journal of COMADEM, 2015, 18 (03): : 37 - 44
  • [49] Towards Collaborative Analysis of Computational Fluid Dynamics using Mixed Reality
    Schweiss, Thomas
    Nagaraj, Deepak
    Bender, Simon
    Werth, Dirk
    GRAPP: PROCEEDINGS OF THE 16TH INTERNATIONAL JOINT CONFERENCE ON COMPUTER VISION, IMAGING AND COMPUTER GRAPHICS THEORY AND APPLICATIONS - VOL. 1: GRAPP, 2021, : 284 - 291
  • [50] Lyapunov inverse iteration for stability analysis using computational fluid dynamics
    School of Engineering, University of Liverpool, Liverpool, L63 3GH, United Kingdom
    不详
    不详
    Collect Tech Pap AIAA ASME ASCE AHS Struct Struct Dyn Mater,