activity
20142022
most citedDeep Learning of Vortex Induced Vibrations

403 citations · 946 across the 14 of their papers we have counts for

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10 papers · 1 filter

physics.flu-dyn2021★ 5 cited

Learning Optimal Parametric Hydrodynamic Database for Vortex-Induced Crossflow Vibration Prediction

Samuel Rudy, Dixia Fan, Jose del Aguila Ferrandis +2

The Vortex-induced vibration (VIV) prediction of long flexible cylindrical structures relies on the accuracy of the hydrodynamic database constructed via rigid cylinder forced vibr…

physics.flu-dyn2020★ 36 cited

A fast multi-fidelity method with uncertainty quantification for complex data correlations: Application to vortex-induced vibrations of marine risers

Xuhui Meng, Zhicheng Wang, Dixia Fan +2

We develop a fast multi-fidelity modeling method for very complex correlations between high- and low-fidelity data by working in modal space to extract the proper correlation funct…

physics.flu-dyn2020★ 9 cited

Reinforcement Learning for Active Flow Control in Experiments

Dixia Fan, Liu Yang, Michael S Triantafyllou +1

We demonstrate experimentally the feasibility of applying reinforcement learning (RL) in flow control problems by automatically discovering active control strategies without any pr…

physics.flu-dyn2018★ 403 cited

Deep Learning of Vortex Induced Vibrations

Maziar Raissi, Zhicheng Wang, Michael S. Triantafyllou +1

Vortex induced vibrations of bluff bodies occur when the vortex shedding frequency is close to the natural frequency of the structure. Of interest is the prediction of the lift and…

physics.flu-dyn2016★ 201 cited

Optimal undulating swimming for a single fish-like body and for a pair of interacting swimmers

Audrey P. Maertens, Amy Gao, Michael S. Triantafyllou

We establish through numerical simulation conditions for optimal undulatory propulsion for a single fish, and for a pair of hydrodynamically interacting fish, accounting for linear…

physics.flu-dyn2015

Artificial ciliary bundles with nano fiber tip links

Mohsen Asadnia, Ajay Giri Prakash Kottapalli, Jianmin Miao +1

Mechanosensory ciliary bundles in fishes are the inspiration for carefully engineered artificial flow sensors. We report the development of a new class of ultrasensitive MEMS flow…

physics.flu-dyn2015★ 5 cited

Exquisitely sensitive seal whisker-like sensors detect wakes at large distances

Heather R. Beem, Michael S. Triantafyllou

Blindfolded harbor seals are able to use their uniquely shaped whiskers to track vortex wakes left by moving animals and objects that passed by up to 30 seconds earlier; this is an…

physics.flu-dyn2014★ 35 cited

A Novel Degree of Freedom in Flapping Wings Shows Promise for a Dual Aerial/Aquatic Vehicle Propulsor

Jacob S. Izraelevitz, Michael S. Triantafyllou

Ocean sampling for highly temporal phenomena, such as harmful algal blooms, necessitates a vehicle capable of fast aerial travel interspersed with an aquatic means of acquiring in-…

physics.flu-dyn2014★ 67 cited

Ultra-fast escape maneuver of an octopus-inspired robot

G. D. Weymouth, V. Subramaniam, M. S. Triantafyllou

We design and test an octopus-inspired flexible hull robot that demonstrates outstanding fast-starting performance. The robot is hyper-inflated with water, and then rapidly deflate…

physics.flu-dyn2014★ 126 cited

Efficiency of Fish Propulsion

A. P. Maertens, M. S. Triantafyllou, D. K. P. Yue

It is shown that the system efficiency of a self-propelled flexible body is ill-defined unless one considers the concept of quasi-propulsive efficiency, defined as the ratio of the…