Article
Engineering, Geological
Antoine B. Jacquey, Klaus Regenauer-Lieb, Mauro Cacace
Summary: Observations show that the mechanical behavior of porous rocks under external loading is influenced by factors such as confining pressure, fluid pressure, and deformation rate. The multiscale and poromechanical behavior of geomaterials is significant for various applications including civil engineering, reservoir engineering, geological, and geodynamic studies. The use of thermodynamic-consistent approaches is important in constructing constitutive laws that cover a wide range of time scales.
ROCK MECHANICS AND ROCK ENGINEERING
(2021)
Article
Engineering, Geological
Antoine B. Jacquey, Klaus Regenauer-Lieb
Summary: The lack of consensus in applying equilibrium thermodynamics in geomechanics and geological applications is due to the non-equilibrium nature of the problems, such as rate-dependence and poromechanical complexity, which prevent the local equilibrium assumption. The extension of the theory of thermomechanics offers a thermodynamic-consistent modeling approach for civil engineering, geological, and geodynamic problems.
ROCK MECHANICS AND ROCK ENGINEERING
(2021)
Article
Chemistry, Physical
Tulio Honorio, Laurent Brochard
Summary: The study investigates the influence of poromechanical conditions on the thermal properties in microporous materials, providing theoretical framework for calculating drained heat capacity and establishing the linear evolution of heat capacities with water content in clays. A hybrid approach combining classical and semi-classical methods is proposed to capture the heat capacity of solid minerals and inter-layer electrolytes.
PHYSICAL CHEMISTRY CHEMICAL PHYSICS
(2022)
Article
Engineering, Geological
Laurent Brochard, Tulio Honorio
Summary: This study investigates the effects of water confinement in nanometric micropores on thermo-mechanical properties using molecular simulation, and establishes a new poromechanical formulation to explain the macroscopic pressurization of water in clay during undrained heating. The predictions are consistent with experimental data when considering a double porosity medium with osmotic equilibrium, suggesting that excess fluid pressurization is due to water drainage between micro- and macro-pores. The proposed poromechanics provides a quantitative thermo-hydro-mechanical description of clay based on the physics of adsorption, with potential applications in other adsorption-sensitive materials.
Article
Engineering, Multidisciplinary
Bahador Bahmani, WaiChing Sun
Summary: A hybrid model/model-free data-driven approach is proposed to solve poroelasticity problems, which introduces different formulations to simulate the coupled diffusion-deformation of fluid-infiltrating porous media with varying amounts of available data. The efficiency of the model-free data search is improved by introducing a distance-minimized algorithm accelerated by a k-dimensional tree search, and numerical experiments are designed to verify the implementation and compare the performance of the proposed model with other alternatives.
COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING
(2021)
Article
Forestry
Aldis Butlers, Andis Lazdins, Santa Kaleja, Arta Bardule
Summary: This study evaluated soil carbon stock changes in hemiboreal forests with drained and undrained nutrient-rich organic soils, finding that clear-cut soil acted as a carbon dioxide source due to increased respiration and reduced litter input.
Article
Engineering, Geological
Y. Chen, J. Yang
Summary: This paper explores the mechanism of flow liquefaction in granular soils under different drainage conditions and discusses the concept difficulties and diverse views related to the initiation of instability. The study shows that the constant shear drained (CSD) stress path is not a traditional stress-controlled test and its neglect may lead to misleading conclusions. Through systematic simulations, it is demonstrated that the instability line in the stress space is state dependent and can be related to the state parameter defined using critical state concepts.
Article
Mathematics, Applied
Nicolas Barnafi, Paolo Zunino, Luca Dede, Alfio Quarteroni
Summary: This paper discusses a previously proposed model for a deformable porous material, focusing on a linearized version of the model, mathematical analysis, and numerical approximation. The analysis particularly emphasizes the well-posedness of the model and the stability of the numerical discretization scheme, with attention to how the choice of polynomial degree for approximation depends on the porosity of the mixture.
COMPUTERS & MATHEMATICS WITH APPLICATIONS
(2021)
Article
Engineering, Geological
Quoc T. Phan, Ha H. Bui, Giang D. Nguyen, Abdelmalek Bouazza
Summary: This study demonstrates that the rolling resistance of silty sand significantly influences its critical state, peak state, and zero-dilatancy state, and the rolling resistance of fine particles can reduce the liquefaction susceptibility of the sand.
Article
Forestry
Aldis Butlers, Andis Lazdins, Santa Kaleja, Dana Purvina, Gints Spalva, Guntis Saule, Arta Bardule
Summary: The aim of this study was to assess the impact of organic soil drainage on CH4 and N2O emissions in hemiboreal forests. The results showed that undrained soil had higher CH4 emissions but lower N2O emissions. In addition, fluctuations in groundwater level also affected CH4 emissions.
Article
Engineering, Geological
Ehsan Pegah, Huabei Liu, Ali Gholami
Summary: The study aimed at proposing an approach for evaluating the drained elastic stiffness parameters in saturated clays using undrained properties. The reliability of this approach was verified through experimental tests and data collection of soil specimens from different soil types.
ENGINEERING GEOLOGY
(2021)
Article
Engineering, Geological
Amirreza Fotovvat, Abouzar Sadrekarimi, Michael Etezad
Summary: The drained instability of two gold mine tailings under lateral stress relief is investigated in this study. It was observed that specimens consolidated to the same void ratio and initial stress ratio undergo instability at similar stress ratios or friction angles in both CDS and undrained shear tests. This suggests that the instability characteristic of tailings prone to stress relief can be predicted using undrained triaxial tests on anisotropically consolidated specimens.
Article
Engineering, Geological
Wei Cheng, Ren-Peng Chen, Jean-Michel Pereira, Yu-Jun Cui
Summary: This paper presents a semi-analytical solution for the expansion/contraction of undrained cylindrical cavities in natural stiff clays using a two-surface plasticity model. The solution simplifies the classical boundary problem into a set of seven first-order ordinary differential equations, and emphasizes the importance of the constant soil mass assumption in developing solutions under high stress conditions. Extensive parametric studies are conducted to investigate the effects of key model parameters on stress components, excess pore pressure distribution, and cavity expansion curves, with comparisons made to the constant soil volume assumption.
INTERNATIONAL JOURNAL FOR NUMERICAL AND ANALYTICAL METHODS IN GEOMECHANICS
(2022)
Article
Engineering, Multidisciplinary
Ehsan Haghighat, Danial Amini, Ruben Juanes
Summary: This paper presents a physics-informed neural network (PINN) approach for solving the equations of coupled flow and deformation in porous media. Incorporating multiple differential relations into the loss function can lead to an unstable optimization problem due to the dynamics of the problem. A dimensionless form of the coupled governing equations is proposed, and a sequential training approach based on stress-split algorithms is introduced.
COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING
(2022)
Article
Engineering, Civil
G. Abou-Samra, V. Silvestri, S. L. Desjardins, R. Labben
Summary: The stress distribution around driven piles in soft clays is a complex problem due to factors such as soil permeability, strength, sensitivity, remoulding, distance from adjacent piles, and number of piles. The mechanisms of pile installation and subsequent consolidation are investigated by considering pile installation as the expansion of a long vertical cylindrical cavity in soft cohesive soils. The stress paths followed by soil elements at the soil-pile interface are analyzed using theoretical relationships obtained during undrained expansion of a cylindrical cavity in soft cohesive soils, modified to account for severe remoulding caused by pile installation.
INTERNATIONAL JOURNAL OF CIVIL ENGINEERING
(2021)
Review
Computer Science, Interdisciplinary Applications
Sergi Molins, Cyprien Soulaine, Nikolaos I. Prasianakis, Aida Abbasi, Philippe Poncet, Anthony J. C. Ladd, Vitalii Starchenko, Sophie Roman, David Trebotich, Hamdi A. Tchelepi, Carl I. Steefel
Summary: This study introduces a benchmark problem for evaluating the simulation of single-phase flow, reactive transport, and solid geometry evolution at the pore scale. By comparing results from five different codes, it demonstrates significant agreement both quantitatively and qualitatively, providing a strong benchmark for validating and testing pore-scale codes.
COMPUTATIONAL GEOSCIENCES
(2021)
Article
Computer Science, Interdisciplinary Applications
Ammar H. Alali, Francois P. Hamon, Bradley T. Mallison, Hamdi A. Tchelepi
Summary: Investigating the use of discrete interface conditions at the matrix-fracture interface to improve flux computation accuracy without extreme grid refinement. Analyzing the interaction of the upwinding scheme with discrete interface conditions and illustrating the importance of interface conditions in accurately capturing matrix-fracture flux and flow dynamics representation.
COMPUTATIONAL GEOSCIENCES
(2021)
Article
Computer Science, Interdisciplinary Applications
Yashar Mehmani, Nicola Castelletto, Hamdi A. Tchelepi
Summary: This study introduces a pore-level multiscale method that efficiently approximates direct numerical simulation with controllable accuracy for predicting the elastic response of solid media containing cracks or defects.
JOURNAL OF COMPUTATIONAL PHYSICS
(2021)
Article
Engineering, Chemical
Michael Connolly, Huanquan Pan, Motonao Imai, Hamdi A. Tchelepi
Summary: Thermal enhanced oil recovery involves complex interplays of mass and energy transport processes with phase behavior, requiring thermal compositional simulation and isenthalpic flash calculations. Isothermal flash algorithms have been refined over the years, while isenthalpic flash remains a challenge due to unknown temperatures and nonlinear enthalpy behavior. The injection of steam in thermal EOR further complicates phase equilibrium calculations, making water a thermodynamically dominant component that cannot be excluded from simulations.
CHEMICAL ENGINEERING SCIENCE
(2021)
Article
Engineering, Multidisciplinary
Sebastian B. M. Bosma, Francois P. Hamon, Brad T. Mallison, Hamdi A. Tchelepi
Summary: In subsurface multiphase flow simulations, poor performance of nonlinear solvers is a significant issue, but a new optimized scheme can greatly reduce the number of nonlinear iterations and improve efficiency.
COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING
(2022)
Article
Geosciences, Multidisciplinary
Yashar Mehmani, Timothy Anderson, Yuhang Wang, Saman A. Aryana, Ilenia Battiato, Hamdi A. Tchelepi, Anthony R. Kovscek
Summary: Shales will play a key role in the transition to renewable energy but face challenges due to their nanoporous structure and extreme heterogeneity. Challenges include understanding fluid flow and phase behavior in shales, and the lack of scale separation for reliable physics descriptions. Advances in computational power, imaging technology, and machine learning are helping to address these challenges through scale translation methods.
EARTH-SCIENCE REVIEWS
(2021)
Article
Engineering, Petroleum
I Shovkun, H. A. Tchelepi
Summary: The study aims to develop a spatial discretization scheme that cuts the matrix grid with fracture planes to model fluid flow and mechanical deformation in fractured reservoirs. It utilizes traditional formulations and numerical harmonic shape functions to accurately describe the behavior of fractured formations. The proposed approach is validated and compared with existing methods, demonstrating its feasibility and effectiveness.
Article
Computer Science, Software Engineering
Arnout M. P. Boelens, Hamdi A. Tchelepi
Summary: The Minkowski functionals and functions are a family of morphological measures used to describe the shape and connectedness of a system. The QuantImPy Python package presented in this paper can compute Minkowski functionals and functions, perform basic morphological operations, and compute distance maps efficiently. QuantImPy is easy to install, well-documented, integrated with existing Python packages, and open source.
Article
Computer Science, Interdisciplinary Applications
Andrea Franceschini, Nicola Castelletto, Joshua A. White, Hamdi A. Tchelepi
Summary: In this paper, a family of preconditioning strategies for the contact problem in fractured and faulted porous media is presented. The strategies combine low-order continuous finite elements and piecewise constant Lagrange multipliers to simulate bulk deformation and impose frictional contact constraints. A novel jump stabilization technique is introduced to improve previous work, and scalable preconditioning strategies that exploit the block structure of the Jacobian matrix are designed. The proposed preconditioners achieve success by eliminating the Lagrange multiplier degrees of freedom and efficiently solving the pseudo-Schur complement. Numerical results demonstrate the theoretical properties, scalability, and robustness of the preconditioner, along with a comparison to other approaches in the literature.
JOURNAL OF COMPUTATIONAL PHYSICS
(2022)
Article
Engineering, Multidisciplinary
Bazyli Klockiewicz, Leopold Cambier, Ryan Humble, Hamdi Tchelepi, Eric Darve
Summary: This paper presents a second-order accurate approach to sparsify the off-diagonal matrix blocks in solving sparse linear systems. By sparsifying the fill-in matrix blocks in block Gaussian elimination, an approximate factorization of the given matrix is computed. The new approach incorporates squared 2-norm of the incurred error in the sparsification of a matrix block, resulting in faster convergence and improved overall performance of the algorithm.
INTERNATIONAL JOURNAL FOR NUMERICAL METHODS IN ENGINEERING
(2022)
Article
Electrochemistry
Weiyu Li, Hamdi A. Tchelepi, Yiguang Ju, Daniel M. Tartakovsky
Summary: Dendritic growth is a major cause of degradation and failure in lithium-metal batteries. This study shows that changes in the local electric field and the use of anisotropic electrolytes can suppress dendritic growth of lithium metal.
JOURNAL OF THE ELECTROCHEMICAL SOCIETY
(2022)
Article
Computer Science, Interdisciplinary Applications
Ricardo H. Deucher, Hamdi A. Tchelepi
Summary: The Adaptive Implicit Method (AIM) is a technique that reduces computational costs in simulations of field scale displacements in porous media. By using a mixed implicit/explicit time discretization and high-order fluxes, AIM overcomes limitations of purely explicit approaches and improves accuracy. A new scheme is introduced that blends implicit and explicit time discretizations along with single-point upwind and a high-order flux-limited total variation diminishing approximation of numerical fluxes, resulting in reduced numerical diffusion and improved accuracy.
JOURNAL OF COMPUTATIONAL PHYSICS
(2022)
Article
Computer Science, Interdisciplinary Applications
Jiawei Li, Pavel Tomin, Hamdi Tchelepi
Summary: There is an increasing interest in developing robust and efficient sequential methods for reservoir simulation. The sequential fully implicit Newton (SFIN) method addresses the slow sequential coupling convergence issue when flow and transport problems are strongly coupled. However, the original SFIN algorithm requires fixed primary variables during the simulation. In this work, strategies are proposed to handle inconsistent primary variables and extend the SFIN method to the natural black-oil formulation.
COMPUTATIONAL GEOSCIENCES
(2023)
Article
Computer Science, Interdisciplinary Applications
Mamadou N'diaye, Francois P. Hamon, Hamdi A. Tchelepi
Summary: This work focuses on the development of a two-step field-split nonlinear preconditioner to accelerate the convergence of two-phase flow and transport in heterogeneous porous media. The proposed Field-Split Multiplicative Schwarz Newton (FSMSN) algorithm consists of a preconditioning step and a global step, achieving faster convergence compared to existing preconditioners and standard solution strategies. The impact of the upwinding scheme and the dynamic adaptation of subproblem tolerance in the preconditioning step are highlighted.
COMPUTATIONAL GEOSCIENCES
(2023)
Article
Geosciences, Multidisciplinary
Catherine Spurin, Gareth G. Roberts, Conor P. B. O'Malley, Takeshi Kurotori, Samuel Krevor, Martin J. Blunt, Hamdi Tchelepi
Summary: Complex pore-scale dynamics during multiphase flow through porous rocks are not accounted for in large-scale models. However, we demonstrate that pressure fluctuations measured at the core-scale can reflect fluid displacements at the pore-scale. The spectral characteristics of pressure data provide information about flow dynamics, sample size, and rock heterogeneity. Understanding fluid flow in porous rocks is crucial for the safe storage of CO2 and hydrogen.
GEOPHYSICAL RESEARCH LETTERS
(2023)
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)