Fluid-Structure Interaction

Latest papers

12 papers2 papers in the last four weeks, down 33% on the four weeks before. 0.0% of all new papers.

How the elastic axis folds the transonic flutter boundary: shock energy transfer and conformally calibrated active learning
Oct 16, 2026Ashray Saxena, Sharad ShrivastavaFluid-Structure Interaction Computational Fluid Dynamics
Department of Mechanical Engineering, Birla Institute of Technology and Science, Pilani, Vidya Vihar, Pilani, Rajasthan 333031, India
Interactive 4D Volumetric Liquid Forecasting under Moving-Solid Interaction
Oct 12, 2026Jongwon Ryu, Sunjae Yoon, Junyeong KimFluid-Structure Interaction Spatiotemporal Forecasting
Department of Artificial Intelligence Chung-Ang University
Learning Stiffness Dependent Fluid Structure Dynamics from Coarse Flow Representations
Sep 19, 2026Chun-Jun Pu, Li-Wei Chen, Hai-Bo HuangFluid-Structure Interaction Neural Surrogate Modeling
University of Science and Technology of China, Hefei 230026, China · Beijing Institute of Aeronautical Systems Engineering, Beijing 100076, China
Cross-Anatomy Transfer Versus Sparse Interpolation in Digital-Twin-Oriented Aortic Fluid-Structure Interaction Surrogates
Sep 14, 2026Ali Nourbakhsh, Mohammad Reza Niroomand, Erfan NourbakhshPDE Surrogate Modeling Cross-Domain Generalization
Department of Mechanical Engineering Isfahan University of Technology Isfahan, Iran · Artificial Intelligence Department University of Isfahan Isfahan, Iran
Embracing Flow Unsteadiness: A High-Throughput Learning Platform Enables Vortex-Exploiting Bioinspired Propulsion
Sep 13, 2026Fei Han, Xinyu Cui, Zhipeng Wang +7Fluid-Structure Interaction Robot Policy Learning
College of Computer Science and Technology, Zhejiang University, Hangzhou, China · School of Engineering, Westlake University, Hangzhou, China · Institute of Automation, Chinese Academy of Sciences, Beijing, China +3
Neural Operators for Immersed-Boundary Soft Swimmers Locomotion
Aug 7, 2026Mohammad Sadegh Eshaghi, Yizheng Wang, Navid Valizadeh +2PDE Surrogate Modeling Robot Locomotion
Chair of Computational Science and Simulation Technology, Institute of Photonics, Department of Mathematics and Physics, Leibniz University Hannover, Germany · Department of Engineering Mechanics, Tsinghua University, Beijing, China · Institute of Structural Mechanics, Bauhaus-Universität Weimar, Germany
Robin-Neumann Coupling of PINN and FEM Solvers: A Steklov-Poincaré View, with Application to Fluid-Structure Interaction with Contact
Jun 12, 2026Mikel LandajuelaPDE Solving Fluid-Structure Interaction
Lawrence Livermore National Laboratory
Model-based Optimization of Anguilliform Swimming Gaits for Soft Robotic Applications
Jun 9, 2026Brian Van Stratum, James Gallentine, Caleb Rucker +3Robot Locomotion Underwater Robotics
FAMU/FSU College of Engineering, Tallahassee, FL 323109 · Mechanical Engineering, Vanderbilt University, Nashville Tennessee 37235 · Mechanical Engineering, The University of Tennessee, Knoxville, Tennessee 37996
An ALE-Consistent Graph Neural Operator-Transformer Framework for Fluid-Structure Interaction
May 1, 2026Shihang Zhao, Martín Saravia, Haokui Jiang +2PDE Surrogate Modeling Graph Neural Operators
Institute for Ocean Engineering, Shenzhen International Graduate School, Tsinghua University, Shenzhen, Guangdong, 518055, China · Centro de Investigación en Mecánica Teórica y Aplicada, Universidad Tecnológica Nacional - CONICET, 11 de Abril 461, Bahía Blanca, Argentina
AeTHERON: Autoregressive Topology-aware Heterogeneous Graph Operator Network for Fluid-Structure Interaction
Apr 15, 2026Sushrut KumarFluid-Structure Interaction PDE Surrogate Modeling
Department of Mechanical Engineering Johns Hopkins University Baltimore, MD 21218
FluidGaussian: Propagating Simulation-Based Uncertainty Toward Functionally-Intelligent 3D Reconstruction
Mar 22, 2026Yuqiu Liu, Jialin Song, Marissa Ramirez de Chanlatte +5Fluid-Structure Interaction 3D Reconstruction
Simon Fraser University · Lawrence Berkeley National Lab · University of California, Berkeley +1
Neural Latent Arbitrary Lagrangian-Eulerian Grids for Fluid-Solid Interaction
Feb 28, 2026Shilong Tao, Zhe Feng, Shaohan Chen +3Fluid-Structure Interaction Physics-Based Simulation
School of Computer Science, Peking University · Global Innovation Exchange, Tsinghua University · School of Electrical and Computer Science, University of Southampton

Oct 16, 2026J/K move · Enter open · S save

How the elastic axis folds the transonic flutter boundary: shock energy transfer and conformally calibrated active learning

Ashray Saxena, Sharad Shrivastava

Department of Mechanical Engineering, Birla Institute of Technology and Science, Pilani, Vidya Vihar, Pilani, Rajasthan 333031, India

Fluid-Structure Interaction Computational Fluid Dynamics

Open paper AskPDF arXiv

Isogai's case A, a pitch-plunge aerofoil whose elastic axis lies half a chord ahead of the leading edge, has a folded transonic flutter boundary in inviscid flow: near the bottom of the transonic dip several flutter speeds coexist at one Mach number. We map this boundary, and the family obtained by moving the elastic axis, with coupled unsteady Euler simulations, a Gaussian-process surrogate of the damping coefficient trained by batch active learning, and split conformal prediction on independent random simulations, which turns the surrogate into stability calls with a distribution-free error rate. Three failure modes of time-domain damping labels that leave no trace in the residuals are documented, and the half-degree mean incidence left by the common one-degree start is shown to raise the flutter speed at the dip by 2.8%, more than any numerical setting. With 80 simulations the learned case A boundary labels 64 of 65 independent runs correctly, and calibrated calls are wrong in at most 1.6% of cases. Over Mach number, elastic axis and flutter speed index, 193 simulations and 40 calibration runs show that the fold exists only for elastic axes more than about 0.4 chord ahead of the leading edge; it closes between 0.39 and 0.33 chord ahead, on two meshes. Chordwise energy budgets, closed against the solver loads and the growth rate within a few per cent, explain the boundary. The lower branch is crossed through the reduced frequency at unchanged shock phase. On the upper branch the shock is pinned at the trailing edge, and moving the elastic axis aft brings the pivot of the flutter mode towards the section, so that the damping of the supersonic surface falls faster than the residual shock input and the fold closes.