TY - JOUR
T1 - Hydrodynamic Performance of Euplectella aspergillum
T2 - Simulating Real Life Conditions in the Abyss
AU - Falcucci, Giacomo
AU - Amati, Giorgio
AU - Fanelli, Pierluigi
AU - Succi, Sauro
AU - Porfiri, Maurizio
N1 - Funding Information:
G.F. acknowledges CINECA computational grant ISCRA-B IsB17– SPONGES, no. HP10B9ZOKQ and, partially, the support of PRIN projects CUP E82F16003010006 (principal investigator, G.F. for the Tor Vergata Research Unit) and CUP E84I19001020006 (principal investigator, G. Bella). S.S. acknowledges financial support from the European Research Council under the Horizon 2020 Programme advanced grant agreement no. 739964 (’COPMAT’). M.P. acknowledges the support of the National Science Foundation under grant no. CMMI 1901697.
Publisher Copyright:
©2023 Global-Science Press.
PY - 2023
Y1 - 2023
N2 - We detail some of the understudied aspects of the flow inside and around the Hexactinellid Sponge Euplectella aspergillum. By leveraging the flexibility of the Lattice Boltzmann Method, High Performance Computing simulations are performed to dissect the complex conditions corresponding to the actual environment at the bottom of the ocean, at depths between 100 and 1,000 m. These large-scale simulations unveil potential clues on the evolutionary adaptations of these deep-sea sponges in response to the surrounding fluid flow, and they open the path to future investigations at the interface between physics, engineering and biology.
AB - We detail some of the understudied aspects of the flow inside and around the Hexactinellid Sponge Euplectella aspergillum. By leveraging the flexibility of the Lattice Boltzmann Method, High Performance Computing simulations are performed to dissect the complex conditions corresponding to the actual environment at the bottom of the ocean, at depths between 100 and 1,000 m. These large-scale simulations unveil potential clues on the evolutionary adaptations of these deep-sea sponges in response to the surrounding fluid flow, and they open the path to future investigations at the interface between physics, engineering and biology.
KW - complex boundary conditions
KW - fluid-structure interaction
KW - high performance computing
KW - Lattice Boltzmann method
KW - sponge hydrodynamics
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U2 - 10.4208/cicp.OA-2022-0063
DO - 10.4208/cicp.OA-2022-0063
M3 - Article
AN - SCOPUS:85150686809
SN - 1815-2406
VL - 33
SP - 273
EP - 282
JO - Communications in Computational Physics
JF - Communications in Computational Physics
IS - 1
ER -