Article
Computer Science, Interdisciplinary Applications
David R. Wells, Ben Vadala-Roth, Jae H. Lee, Boyce E. Griffith
Summary: The IFED method is a computational approach for modeling fluid-structure interactions using finite element and finite difference techniques. This paper presents numerical and computational analyses of the effects of replacing the projection matrices in the force projection and IFED coupling operators with diagonal approximations. The results show that lumped mass matrices derived from nodal quadrature rules can be used with the IFED method, unlike standard FE methods.
JOURNAL OF COMPUTATIONAL PHYSICS
(2023)
Article
Engineering, Marine
Fei Yang, Xin Gu, Xiaozhou Xia, Qing Zhang
Summary: This paper proposes a novel PD-IB-LBM method for accurately and efficiently simulating the deformation and fracture of structures induced by fluid-structure interactions. The method utilizes an improved bond-based peridynamic model and lattice Boltzmann method, with immersed boundary method for the bi-directional coupling of fluid and solid. The effectiveness of the proposed method is validated through simulations of various fluid motions and structural fractures.
Article
Engineering, Multidisciplinary
Narendra S. Nanal, Scott T. Miller, Jesse D. Thomas, Lucy T. Zhang
Summary: This study presents a computational framework for simulating shell structures interacting with fluids using the immersed approach. The approach captures the complex movement and motion of thin structures and allows non-intrusive coupling of independent fluid and shell finite element solvers. The method projects the shell structure to create a volumetric structure, enabling accurate and realistic loading and geometry.
COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING
(2023)
Article
Mathematics, Applied
Sudeshna Ghosh, Pooja Yadav
Summary: The study investigated the gravitational settling of a single semi-torus shaped particle in a viscous, incompressible fluid in two dimensions using numerical simulations with the Immersed Boundary (IB) method. Parametric studies were conducted to explore the effects of varying parameters on the settling velocity, and the influence of different orientations of the particles on their dynamics was also considered. The physically justified results validated the spatial accuracy of the IB method to be first order.
APPLIED MATHEMATICS AND COMPUTATION
(2022)
Article
Engineering, Marine
Shuo Mi, Mingyang Wang, Eldad Jitzchak Avital, John J. R. Williams, Ioannis K. Chatjigeorgiou
Summary: In this paper, an implicit Eulerian-Lagrangian model is proposed to study the fluid-structure interaction of submerged nets. The model combines the OpenFOAM software for solving the Navier-Stokes equations on an Eulerian grid and Lagrangian points for tracking the flexible net structures. The results show excellent agreement with experiments and improved drag force predictions.
Article
Engineering, Biomedical
Yushuang Luo, Xiantao Li, Wenrui Hao
Summary: This paper focuses on the application of the immersed boundary method and reduced-order techniques in biofluid systems to address the challenges of fluid-structure interactions. By using Petrov-Galerkin projection and maintaining incompressibility conditions, reduced models were successfully derived and shown to preserve Lyapunov stability. The efficiency and robustness of the proposed formulation were validated through test examples from various applications.
INTERNATIONAL JOURNAL FOR NUMERICAL METHODS IN BIOMEDICAL ENGINEERING
(2022)
Article
Mathematics, Applied
Yanfei He, Xingwu Zhang, Tao Zhang, Chenxi Wang, Jia Geng, Xuefeng Chen
Summary: This paper proposes a wavelet immersed boundary method for solving fluid-structure interaction problems with two-variable coupling, by introducing a wavelet finite element method to calculate FSI force and constructing a boundary influence matrix and B-spline wavelet δ functions to suppress non-physical force oscillations. Several FSI problems are simulated to demonstrate the simplicity and efficiency of the new method for two-variable coupled FSI problems.
APPLIED MATHEMATICS AND COMPUTATION
(2021)
Article
Computer Science, Interdisciplinary Applications
Hugo Casquero, Carles Bona-Casas, Deepesh Toshniwal, Thomas J. R. Hughes, Hector Gomez, Yongjie Jessica Zhang
Summary: The paper introduces a new divergence-conforming immersed boundary (DCIB) method for fluid-structure interaction problems involving closed co-dimension one solids, focusing on capsules and vesicles. By discretizing the velocity-pressure pair with divergence-conforming B-splines, the method significantly reduces the large spurious changes of fluid volume inside closed co-dimension one solids, resulting in higher discretization accuracy.
JOURNAL OF COMPUTATIONAL PHYSICS
(2021)
Article
Computer Science, Interdisciplinary Applications
Isabelle Cheylan, Tom Fringand, Jerome Jacob, Julien Favier
Summary: This article presents an efficient and new methodology for dealing with fluid structure interaction at high Reynolds number flows. The coupling of the lattice Boltzmann method and the immersed boundary method with a second order predictor corrector model for the structure is used. The effect of the lagrangian weight of the immersed boundary method is also analyzed. The paper is considered novel for its new expression of the lagrangian weight and the coupling of a turbulence model with a second order predictor corrector model. Accuracy is found to be high for challenging cases. Rating: 8 out of 10.
JOURNAL OF COMPUTATIONAL PHYSICS
(2023)
Article
Mathematics, Interdisciplinary Applications
Seok-Jin Park, Younghwan Yang, Junhong Jo, Tae-Rin Lee
Summary: In this study, a new method is proposed to simulate fluid-cell interactions by coupling the immersed finite element method with the spring network model. Successful simulation of cell transport and prediction of plasma skimming effect validate the effectiveness of the proposed method.
COMPUTATIONAL PARTICLE MECHANICS
(2022)
Article
Computer Science, Interdisciplinary Applications
Jianhua Qin, Ebrahim M. Kolahdouz, Boyce E. Griffith
Summary: The II-LBM method is developed for modeling fluid-structure systems. It effectively addresses interface force and jump condition issues with higher accuracy and volume conservation compared to other methods.
JOURNAL OF COMPUTATIONAL PHYSICS
(2021)
Article
Engineering, Marine
Zhao-Li Tian, A-Man Zhang, Yun-Long Liu, Shi-Ping Wang
Summary: In this paper, the penalty immersed boundary method is improved for resolving transient fluid-solid interaction problems, with the Eulerian finite-element method chosen as the fluid solver to ensure correct results for discontinuous problems. The simulated results are compared with experiments, showing good agreements.
Article
Computer Science, Interdisciplinary Applications
Jinzi Mac Huang, Michael J. Shelley, David B. Stein
Summary: This paper presents a numerical method for simulating the Stefan problem coupled with fluid flow, demonstrating the complex morphologies resulting from the dissolution of solids with high-Rayleigh number convection through numerical studies.
JOURNAL OF COMPUTATIONAL PHYSICS
(2021)
Article
Engineering, Mechanical
Antonia Tirri, Alessandro Nitti, Javier Sierra-Ausin, Flavio Giannetti, Marco D. de Tullio
Summary: In this work, a novel approach for linear stability analysis of fluid-structure interaction problems is presented. The method combines a validated immersed boundary solver with Krylov-based techniques to obtain a robust and accurate global stability solver. The proposed algorithm avoids complex analytical linearization of equations while retaining all relevant aspects of the fully-coupled fluid-structure system. Testing on various cases demonstrates good quantitative agreement with literature results.
JOURNAL OF FLUIDS AND STRUCTURES
(2023)
Article
Engineering, Multidisciplinary
D. Michael Senter, Dylan R. Douglas, W. Christopher Strickland, Steven G. Thomas, Anne M. Talkington, Laura A. Miller, Nicholas A. Battista
Summary: The immersed boundary method has been used to investigate fluid-structure interaction problems in biology, allowing for easy handling of complex geometries without the need for matching grids. The difficulty in modeling often lies in discretizing the boundary of the complex geometry.
BIOINSPIRATION & BIOMIMETICS
(2021)
Article
Mathematics, Applied
Hiroshi Matano, Yoichiro Mori, Mitsunori Nara
ANNALES DE L INSTITUT HENRI POINCARE-ANALYSE NON LINEAIRE
(2019)
Article
Mathematics, Applied
Yoichiro Mori, Analise Rodenberg, Daniel Spirn
COMMUNICATIONS ON PURE AND APPLIED MATHEMATICS
(2019)
Article
Mathematics, Applied
Yoichiro Mori, Laurel Ohm, Daniel Spirn
ARCHIVE FOR RATIONAL MECHANICS AND ANALYSIS
(2020)
Article
Mathematics, Applied
Yoichiro Mori, Laurel Ohm, Daniel Spirn
COMMUNICATIONS ON PURE AND APPLIED MATHEMATICS
(2020)
Review
Cell Biology
Yizeng Li, Konstantinos Konstantopoulos, Runchen Zhao, Yoichiro Mori, Sean X. Sun
JOURNAL OF CELL SCIENCE
(2020)
Article
Biochemical Research Methods
Jingwei Ma, Myan Do, Mark. A. Le Gros, Charles S. Peskin, Carolyn A. Larabell, Yoichiro Mori, Samuel A. Isaacson
PLOS COMPUTATIONAL BIOLOGY
(2020)
Article
Mathematics, Applied
Yoichiro Mori, Laurel Ohm
Summary: The study investigates the mapping properties of an integral operator in nonlocal slender body theory, comparing two regularization methods and proving convergence of the approximate solutions to the underlying partial differential equation as ε approaches 0. A fiber velocity with H2 regularity shows faster convergence to the PDE solution.
STUDIES IN APPLIED MATHEMATICS
(2021)
Article
Computer Science, Interdisciplinary Applications
William H. Mitchell, Henry G. Bell, Yoichiro Mori, Laurel Ohm, Daniel Spirn
Summary: Fluid flows containing dilute or dense suspensions of thin fibers are common in biological and industrial processes. To describe the motion of these fibers and the forces acting on them, one-dimensional fiber centerlines and force densities are used. Slender body theories provide a method to model and simulate the motion of immersed fibers using one-dimensional data. However, standard formulations may fail when the fiber surface approaches self-intersections or intersections with other fibers. This paper introduces a numerical method for a three-dimensional slender body boundary value problem, which can be stated in terms of a one-dimensional distribution of forces on the fiber centerline. The method is based on a new formulation of fluid velocity and demonstrates good conditioning and improved performance in the presence of near-intersections.
JOURNAL OF COMPUTATIONAL PHYSICS
(2022)
Article
Psychology, Biological
Qi Su, Alex McAvoy, Yoichiro Mori, Joshua B. Plotkin
Summary: This study uses multilayer networks to investigate the influence of multiple domains of social interactions on individual behavior. The findings suggest that coupling between layers promotes prosocial behavior simultaneously in all layers.
NATURE HUMAN BEHAVIOUR
(2022)
Article
Biophysics
Maria Jesus Munoz-Lopez, Hyunjoong Kim, Yoichiro Mori
Summary: In this study, a simplified model is proposed to investigate the mechanism of bleb-driven cell motion. By combining a mechanical model, turnover kinetics of the actin cortex, and adhesions between the membrane and the cortex, the model can explain the characteristics of individual blebbing events and achieve sustained cell travel by introducing stochastic turnover of the adhesions.
BIOPHYSICAL JOURNAL
(2022)
Article
Biology
Daniel B. Cooney, Yoichiro Mori
Summary: This study investigates the effects of competition between individuals and between groups on the evolution in a group-structured population. The researchers find that cooperation can persist in the population when the between-group competition strength exceeds a threshold level, but the incentives for individual defection still have long-term effects on the dynamics of multilevel selection.
JOURNAL OF MATHEMATICAL BIOLOGY
(2022)
Article
Mathematics, Applied
Alex McAvoy, Yoichiro Mori, Joshua B. Plotkin
Summary: This study compares selfish learning in stable pairs to selfish learning with stochastic encounters in a population. The findings suggest that myopic, selfish learning, when distributed in a population via ephemeral encounters, can achieve optimal payoffs in repeated social dilemmas.
PHYSICA D-NONLINEAR PHENOMENA
(2022)
Article
Mathematics, Applied
Yoichiro Mori, Laurel Ohm
Summary: We examine the behavior of an inextensible filament in planar motion using a classical elastohydrodynamic model in R3. The model combines resistive force theory for hydrodynamics with Euler-Bernoulli beam theory for fiber elasticity. Our objectives are to establish a mathematical analysis framework for filament elastohydrodynamics, specifically addressing the analytical treatment of inextensibility constraint, and to prove conditions for the propulsion of a free-ended filament through internal fiber forcing. We complement our analysis of the filament's swimming speed with numerical optimization of internal fiber forcing and a novel numerical method for simulating an inextensible swimmer.
Article
Physics, Fluids & Plasmas
Hyunjoong Kim, Yoichiro Mori, Joshua B. Plotkin
Summary: This study analyzes the energy efficiency of intercellular signaling and compares the efficiency of diffusion and direct transport mechanisms. The study finds that direct transport is more efficient in transporting a large amount of signaling molecules, especially when the distance between cells is far.
Article
Mathematics
Yoichiro Mori, Laurel Ohm
RESEARCH IN THE MATHEMATICAL SCIENCES
(2020)
Article
Engineering, Multidisciplinary
Akshay J. Thomas, Mateusz Jaszczuk, Eduardo Barocio, Gourab Ghosh, Ilias Bilionis, R. Byron Pipes
Summary: We propose a physics-guided transfer learning approach to predict the thermal conductivity of additively manufactured short-fiber reinforced polymers using micro-structural characteristics obtained from tensile tests. A Bayesian framework is developed to transfer the thermal conductivity properties across different extrusion deposition additive manufacturing systems. The experimental results demonstrate the effectiveness and reliability of our method in accounting for epistemic and aleatory uncertainties.
COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING
(2024)
Article
Engineering, Multidisciplinary
Zhen Zhang, Zongren Zou, Ellen Kuhl, George Em Karniadakis
Summary: In this study, deep learning and artificial intelligence were used to discover a mathematical model for the progression of Alzheimer's disease. By analyzing longitudinal tau positron emission tomography data, a reaction-diffusion type partial differential equation for tau protein misfolding and spreading was discovered. The results showed different misfolding models for Alzheimer's and healthy control groups, indicating faster misfolding in Alzheimer's group. The study provides a foundation for early diagnosis and treatment of Alzheimer's disease and other misfolding-protein based neurodegenerative disorders using image-based technologies.
COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING
(2024)
Article
Engineering, Multidisciplinary
Jonghyuk Baek, Jiun-Shyan Chen
Summary: This paper introduces an improved neural network-enhanced reproducing kernel particle method for modeling the localization of brittle fractures. By adding a neural network approximation to the background reproducing kernel approximation, the method allows for the automatic location and insertion of discontinuities in the function space, enhancing the modeling effectiveness. The proposed method uses an energy-based loss function for optimization and regularizes the approximation results through constraints on the spatial gradient of the parametric coordinates, ensuring convergence.
COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING
(2024)
Article
Engineering, Multidisciplinary
Bodhinanda Chandra, Ryota Hashimoto, Shinnosuke Matsumi, Ken Kamrin, Kenichi Soga
Summary: This paper proposes new and robust stabilization strategies for accurately modeling incompressible fluid flow problems in the material point method (MPM). The proposed approach adopts a monolithic displacement-pressure formulation and integrates two stabilization strategies to ensure stability. The effectiveness of the proposed method is validated through benchmark cases and real-world scenarios involving violent free-surface fluid motion.
COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING
(2024)
Article
Engineering, Multidisciplinary
Chao Peng, Alessandro Tasora, Dario Fusai, Dario Mangoni
Summary: This article discusses the importance of the tangent stiffness matrix of constraints in multibody systems and provides a general formulation based on quaternion parametrization. The article also presents the analytical expression of the tangent stiffness matrix derived through linearization. Examples demonstrate the positive effect of this additional stiffness term on static and eigenvalue analyses.
COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING
(2024)
Article
Engineering, Multidisciplinary
Thibaut Vadcard, Fabrice Thouverez, Alain Batailly
Summary: This contribution presents a methodology for detecting isolated branches of periodic solutions to nonlinear mechanical equations. The method combines harmonic balance method-based solving procedure with the Melnikov energy principle. It is able to predict the location of isolated branches of solutions near families of autonomous periodic solutions. The relevance and accuracy of this methodology are demonstrated through academic and industrial applications.
COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING
(2024)
Article
Engineering, Multidisciplinary
Weisheng Zhang, Yue Wang, Sung-Kie Youn, Xu Guo
Summary: This study proposes a sketch-guided topology optimization approach based on machine learning, which incorporates computer sketches as constraint functions to improve the efficiency of computer-aided structural design models and meet the design intention and requirements of designers.
COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING
(2024)
Article
Engineering, Multidisciplinary
Leilei Chen, Zhongwang Wang, Haojie Lian, Yujing Ma, Zhuxuan Meng, Pei Li, Chensen Ding, Stephane P. A. Bordas
Summary: This paper presents a model order reduction method for electromagnetic boundary element analysis and extends it to computer-aided design integrated shape optimization of multi-frequency electromagnetic scattering problems. The proposed method utilizes a series expansion technique and the second-order Arnoldi procedure to reduce the order of original systems. It also employs the isogeometric boundary element method to ensure geometric exactness and avoid re-meshing during shape optimization. The Grey Wolf Optimization-Artificial Neural Network is used as a surrogate model for shape optimization, with radar cross section as the objective function.
COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING
(2024)
Article
Engineering, Multidisciplinary
C. Pilloton, P. N. Sun, X. Zhang, A. Colagrossi
Summary: This paper investigates the smoothed particle hydrodynamics (SPH) simulations of violent sloshing flows and discusses the impact of volume conservation errors on the simulation results. Different techniques are used to directly measure the particles' volumes and stabilization terms are introduced to control the errors. Experimental comparisons demonstrate the effectiveness of the numerical techniques.
COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING
(2024)
Article
Engineering, Multidisciplinary
Ye Lu, Weidong Zhu
Summary: This work presents a novel global digital image correlation (DIC) method based on a convolution finite element (C-FE) approximation. The C-FE based DIC provides highly smooth and accurate displacement and strain results with the same element size as the usual finite element (FE) based DIC. The proposed method's formulation and implementation, as well as the controlling parameters, have been discussed in detail. The C-FE method outperformed the FE method in all tested examples, demonstrating its potential for highly smooth, accurate, and robust DIC analysis.
COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING
(2024)
Article
Engineering, Multidisciplinary
Mojtaba Ghasemi, Mohsen Zare, Amir Zahedi, Pavel Trojovsky, Laith Abualigah, Eva Trojovska
Summary: This paper introduces Lung performance-based optimization (LPO), a novel algorithm that draws inspiration from the efficient oxygen exchange in the lungs. Through experiments and comparisons with contemporary algorithms, LPO demonstrates its effectiveness in solving complex optimization problems and shows potential for a wide range of applications.
COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING
(2024)
Article
Engineering, Multidisciplinary
Jingyu Hu, Yang Liu, Huixin Huang, Shutian Liu
Summary: In this study, a new topology optimization method is proposed for structures with embedded components, considering the tension/compression asymmetric interface stress constraint. The method optimizes the topology of the host structure and the layout of embedded components simultaneously, and a new interpolation model is developed to determine interface layers between the host structure and embedded components.
COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING
(2024)
Article
Engineering, Multidisciplinary
Qiang Liu, Wei Zhu, Xiyu Jia, Feng Ma, Jun Wen, Yixiong Wu, Kuangqi Chen, Zhenhai Zhang, Shuang Wang
Summary: In this study, a multiscale and nonlinear turbulence characteristic extraction model using a graph neural network was designed. This model can directly compute turbulence data without resorting to simplified formulas. Experimental results demonstrate that the model has high computational performance in turbulence calculation.
COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING
(2024)
Article
Engineering, Multidisciplinary
Jacinto Ulloa, Geert Degrande, Jose E. Andrade, Stijn Francois
Summary: This paper presents a multi-temporal formulation for simulating elastoplastic solids under cyclic loading. The proper generalized decomposition (PGD) is leveraged to decompose the displacements into multiple time scales, separating the spatial and intra-cyclic dependence from the inter-cyclic variation, thereby reducing computational burden.
COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING
(2024)
Article
Engineering, Multidisciplinary
Utkarsh Utkarsh, Valentin Churavy, Yingbo Ma, Tim Besard, Prakitr Srisuma, Tim Gymnich, Adam R. Gerlach, Alan Edelman, George Barbastathis, Richard D. Braatz, Christopher Rackauckas
Summary: This article presents a high-performance vendor-agnostic method for massively parallel solving of ordinary and stochastic differential equations on GPUs. The method integrates with a popular differential equation solver library and achieves state-of-the-art performance compared to hand-optimized kernels.
COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING
(2024)
