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A 21st Century Validated Approach to ASSESSING THE EFFECTS OF UNDERWATER EXPLOSIONS (UNDEX) ON MARINE MAMMALS Tom Fetherston, Stephen Turner, Glenn Mitchell, Emily Guzas Naval Undersea Warfare Center Newport RI National Military Fish & Wildlife Association Workshop Norfolk VA 27 March 2018 LPD 19 shock trial Mesa Verde DISTRIBUTION STATEMENT A: Approved for public release; distribution is unlimited
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INTRODUCTION DoD operations, training, coastal construction activities expose marine mammals to man-made noise/shock Mortality and serious injury from blast exposure have been documented in a number of species, including common dolphins and humpback whales (e.g. Danil et al 2011, Ketten et al 1993).
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LUNG DYNAMICS Goertner Approach
Assumed lungs can be represented by a freestanding spherical gas bubble with an omni-directional shock wave Neglects: Presence of tissue and ribs surrounding lungs Internal lung composition (assumed to be air) Directional nature of most UNDEX events Used Lovelace Foundation (sheep, dog, and monkey) data Assumed lung structure of marine mammals similar to terrestrial animals
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3-YEAR PROJECT ROADMAP Computational Experimental
Match DYSMAS to Goertner Include asymmetric shock wave Add tissue layer(s) around lung volume Impedance Elasticity Evaluate DYSMAS model against experiment Add rib structure around lungs Results shown for Beginning of Year 3 UNDEX against spherical gas volume surrounded by elastomer Include representative rib cage Include non-spherical gas volume Experimental
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OVERALL OBJECTIVE Build a representative Fluid Structure Interaction (FSI) model of a marine mammal Skeleton/rib structures Blubber & Muscle Realistic geometry/lung volume
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Highlights of FY16-FY17 Modeling NSMRL “Dodgeball” Experiments at URI
Metrics available vs. experiment: Ball shape: in air or submerged Center point out-of-plane displacement Pressure at sensors in water Digital image correlation (ball rear or side face) DYSMAS model includes tank Reflection effects important over multiple bubble pulses Simulated Pressure Results
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SHAPE OF AIR-FILLED BALL NSMRL “Dodgeball” Experiments at URI
Freestanding in Air Model Experiment Submerged to 33-in depth Model Experiment “Teardrop” shape, due to hydrostatic depth gradient and ball buoyancy
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MODEL RESULTS VS. VIDEO (RP80, Experiment #2)
Time: 10 ms Video Still Frame: Cavitation bubbles Time: 18 ms Video Still Frame: Small pockets of cavitation
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Influence of Ribs GLOBAL metric:
Minimal change in effective air bubble radius for inclusion of generic ribs LOCAL metric: Inclusion of ribs produces different pattern of resultant displacement in encapsulating structure Without Ribs With Ribs T. Fetherston, S.E. Turner, G. Mitchell, E. Guzas, “Investigation of Marine Mammal Lung Dynamics when Exposed to Underwater Explosion Impulse,” The Anatomical Record, in press
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INFLUENCE OF RIB STRUCTURE
Introduction of Rib Structure using Dynamic System Mechanics Analysis Simulation (DYSMAS) T. Fetherston, S.E. Turner, G. Mitchell, E. Guzas, “Investigation of Marine Mammal Lung Dynamics when Exposed to Underwater Explosion Impulse,” The Anatomical Record, in press
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EXTENDED RESEARCH Utilize specimens of cetacean thoracic structure to obtain realistic material properties for inclusion in the model. Differences in material characterization (properties, mechanical response) for fresh vs. previously-frozen tissue Freezing tissue: how much is lost? Validation testing and modeling with added complexity In discussions with NSMRL about potential to conduct experiments at URI with dodgeball surrounded by rib structure Full-scale validation testing with Kogia (dwarf sperm whale) replica built using artificial tissue Work cooperatively with NSMRL (Brandon Casper) Ichan School of Medicine at Mt. Sinai (Joy Reidenberg)
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Next Level of Complexity: Realistic Material Properties
Rubber Dodgeball, Air-filled CT Section of B’nose Dolphin Ref: James Finneran, “Whole-lung resonance in a bottlenose dolphin (Tursiops truncatus) and white whale (Delphinapterus leucas),” JASA, 114, 529 (2003). PIT STOP!!! Specimen Collection Mechanical Testing Fit Data to Material Constitutive Models Increase Model Complexity
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QUESTIONS?
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