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  1. In this work a multi-point constraint unfitted finite element method for the solution of the Poisson equation is presented. Key features of the approach are the strong enforcement of essential boundary, and in...

    Authors: Brubeck Lee Freeman
    Citation: Advanced Modeling and Simulation in Engineering Sciences 2022 9:19
  2. In this contribution, the accuracy and efficiency of various modeling assumptions and numerical settings in thermo-mechanical simulations of powder bed fusion (PBF) processes are analyzed. Thermo-mechanical si...

    Authors: Christian Burkhardt, Paul Steinmann and Julia Mergheim
    Citation: Advanced Modeling and Simulation in Engineering Sciences 2022 9:18
  3. Most of the methods used today for handling local stress constraints in topology optimization, fail to directly address the non-self-adjointness of the stress-constrained topology optimization problem. This in...

    Authors: Manyu Xiao, Jun Ma, Dongcheng Lu, Balaji Raghavan and Weihong Zhang
    Citation: Advanced Modeling and Simulation in Engineering Sciences 2022 9:17
  4. Mass-movement hazards involving fast and large soil deformation often include huge rocks or other significant obstacles increasing tremendously the risks for humans and infrastructures. Therefore, numerical in...

    Authors: Veronika Singer, Klaus B. Sautter, Antonia Larese, Roland Wüchner and Kai-Uwe Bletzinger
    Citation: Advanced Modeling and Simulation in Engineering Sciences 2022 9:16
  5. This work presents a partitioned method for landslide-generated wave events. The proposed strategy combines a Lagrangian Navier Stokes multi-fluid solver with an Eulerian method based on the Boussinesq shallow...

    Authors: Miguel Masó, Alessandro Franci, Ignasi de-Pouplana, Alejandro Cornejo and Eugenio Oñate
    Citation: Advanced Modeling and Simulation in Engineering Sciences 2022 9:15
  6. The landslide surge is a common secondary disaster of reservoir bank landslides, which can cause more serious damage than the landslide itself in many cases. With the development of large-scale scientific and ...

    Authors: Yinghan Wu, Kaixuan Shao, Francesco Piccialli and Gang Mei
    Citation: Advanced Modeling and Simulation in Engineering Sciences 2022 9:14
  7. The authors have developed a novel physics-based nonlinear autoregressive exogeneous neural network model architecture for flight modelling across the entire flight envelope, called FlyNet. When using traditional...

    Authors: Terrin Stachiw, Alexander Crain and Joseph Ricciardi
    Citation: Advanced Modeling and Simulation in Engineering Sciences 2022 9:13
  8. The embedded finite element technique provides a unique approach for modeling of fiber-reinforced composites. Meshing fibers as distinct bundles represented by truss elements embedded in a matrix material mesh...

    Authors: Valerie A. Martin, Reuben H. Kraft, Thomas H. Hannah and Stephen Ellis
    Citation: Advanced Modeling and Simulation in Engineering Sciences 2022 9:12
  9. In recent times, artificial neural networks (ANNs) have become the popular choice of model for researchers while performing regression analysis between inputs and output. However; in scientific and engineering...

    Authors: E. Rajasekhar Nicodemus
    Citation: Advanced Modeling and Simulation in Engineering Sciences 2022 9:11
  10. The behavior of many physical systems is described by means of differential equations. These equations are usually derived from balance principles and certain modelling assumptions. For realistic situations, t...

    Authors: Sebastián Cedillo, Ana-Gabriela Núñez, Esteban Sánchez-Cordero, Luis Timbe, Esteban Samaniego and Andrés Alvarado
    Citation: Advanced Modeling and Simulation in Engineering Sciences 2022 9:10
  11. This work addresses research questions arising from the application of geometrically exact beam theory in the context of fluid-structure interaction (FSI). Geometrically exact beam theory has proven to be a co...

    Authors: Nora Hagmeyer, Matthias Mayr, Ivo Steinbrecher and Alexander Popp
    Citation: Advanced Modeling and Simulation in Engineering Sciences 2022 9:9
  12. Many real world problems involve fluid flow phenomena, typically be described by the Navier–Stokes equations. The Navier–Stokes equations are partial differential equations (PDEs) with highly nonlinear propert...

    Authors: Jan Oldenburg, Finja Borowski, Alper Öner, Klaus-Peter Schmitz and Michael Stiehm
    Citation: Advanced Modeling and Simulation in Engineering Sciences 2022 9:8
  13. Most real optimization problems are defined over a mixed search space where the variables are both discrete and continuous. In engineering applications, the objective function is typically calculated with a nu...

    Authors: Jhouben Cuesta Ramirez, Rodolphe Le Riche, Olivier Roustant, Guillaume Perrin, Cédric Durantin and Alain Glière
    Citation: Advanced Modeling and Simulation in Engineering Sciences 2022 9:6
  14. Nowadays, in the Scientific Machine Learning (SML) research field, the traditional machine learning (ML) tools and scientific computing approaches are fruitfully intersected for solving problems modelled by Pa...

    Authors: Fabio Giampaolo, Mariapia De Rosa, Pian Qi, Stefano Izzo and Salvatore Cuomo
    Citation: Advanced Modeling and Simulation in Engineering Sciences 2022 9:5
  15. Identification from field measurements allows several parameters to be identified from a single test, provided that the measurements are sensitive enough to the parameters to be identified. To do this, authors...

    Authors: Morgane Chapelier, Robin Bouclier and Jean-Charles Passieux
    Citation: Advanced Modeling and Simulation in Engineering Sciences 2022 9:4
  16. In this work, we propose a new method to fill the gap within an incomplete turbulent and incompressible data field in such a way to satisfy the topological and intensity changes of the fluid flow after a non-p...

    Authors: Nissrine Akkari, Fabien Casenave, David Ryckelynck and Christian Rey
    Citation: Advanced Modeling and Simulation in Engineering Sciences 2022 9:3
  17. A domain decomposition technique combined with an enhanced geometry mapping based on the use of NURBS is considered for solving parametrized models in complex geometries (non simply connected) within the so-ca...

    Authors: Mohammad Javad Kazemzadeh-Parsi, Amine Ammar and Francisco Chinesta
    Citation: Advanced Modeling and Simulation in Engineering Sciences 2022 9:2
  18. In design optimization of complex systems, the surrogate model approach relying on progressively enriched Design of Experiments (DOE) avoids efficiency problems encountered when embedding simulation codes with...

    Authors: Hanane Khatouri, Tariq Benamara, Piotr Breitkopf and Jean Demange
    Citation: Advanced Modeling and Simulation in Engineering Sciences 2022 9:1
  19. Although projection-based reduced-order models (ROMs) for parameterized nonlinear dynamical systems have demonstrated exciting results across a range of applications, their broad adoption has been limited by t...

    Authors: Zhe Bai and Liqian Peng
    Citation: Advanced Modeling and Simulation in Engineering Sciences 2021 8:28
  20. In this study, we applied an advanced barycentric Lagrange interpolation formula to find the interpolate solutions of weakly singular Fredholm integral equations of the second kind. The kernel is interpolated ...

    Authors: E. S. Shoukralla, Nermin Saber and Ahmed Y. Sayed
    Citation: Advanced Modeling and Simulation in Engineering Sciences 2021 8:27
  21. Solutions of partial differential equations can exhibit multiple time scales. Standard discretization techniques are constrained to capture the finest scale to accurately predict the response of the system. In...

    Authors: Angelo Pasquale, Amine Ammar, Antonio Falcó, Simona Perotto, Elías Cueto, Jean-Louis Duval and Francisco Chinesta
    Citation: Advanced Modeling and Simulation in Engineering Sciences 2021 8:26
  22. Surrogate modelling is a powerful tool to replace computationally expensive nonlinear numerical simulations, with fast representations thereof, for inverse analysis, model-based control or optimization. For so...

    Authors: Boukje M. de Gooijer, Jos Havinga, Hubert J. M. Geijselaers and Anton H. van den Boogaard
    Citation: Advanced Modeling and Simulation in Engineering Sciences 2021 8:25
  23. This article proposes a coupled thermomechanical finite element model tailored to the macroscale simulation of metal additive manufacturing processes such as selective laser melting. A first focus lies on the ...

    Authors: Sebastian D. Proell, Wolfgang A. Wall and Christoph Meier
    Citation: Advanced Modeling and Simulation in Engineering Sciences 2021 8:24
  24. Space separation within the Proper Generalized Decomposition—PGD—rationale allows solving high dimensional problems as a sequence of lower dimensional ones. In our former works, different geometrical transform...

    Authors: Mohammad Javad Kazemzadeh-Parsi, Amine Ammar, Jean Louis Duval and Francisco Chinesta
    Citation: Advanced Modeling and Simulation in Engineering Sciences 2021 8:23
  25. Digital Twins, which tend to intervene over the entire life cycle of products from early design phase to predictive maintenance through optimization processes, are increasingly emerging as an essential compone...

    Authors: Philippe Barabinot, Ronan Scanff, Pierre Ladevèze, David Néron and Bruno Cauville
    Citation: Advanced Modeling and Simulation in Engineering Sciences 2021 8:22
  26. In this work we provide a novel energy-consistent formulation for the classical 1D formulation of blood flow in an arterial segment. The resulting reformulation is shown to be suitable for the coupling with a ...

    Authors: Jessica Manganotti, Federica Caforio, François Kimmig, Philippe Moireau and Sebastien Imperiale
    Citation: Advanced Modeling and Simulation in Engineering Sciences 2021 8:21
  27. A nonparametric method assessing the error and variability margins in solutions depicted in a separated form using experimental results is illustrated in this work. The method assess the total variability of t...

    Authors: Chady Ghnatios and Anais Barasinski
    Citation: Advanced Modeling and Simulation in Engineering Sciences 2021 8:20
  28. The current study aims at simulating the in-cylinder combustion process in a diesel engine and investigating the engine performance and pollutant formation. The combustion simulation is performed on a 3D secto...

    Authors: Muhammad Zahid and Khalid S. Syed
    Citation: Advanced Modeling and Simulation in Engineering Sciences 2021 8:19
  29. This work proposes a framework for projection-based model order reduction (MOR) of computational models aiming at a mechanical analysis of abdominal aortic aneurysms (AAAs). The underlying full-order model (FO...

    Authors: Alexander Schein and Michael W. Gee
    Citation: Advanced Modeling and Simulation in Engineering Sciences 2021 8:18
  30. The paper deals with approximations of periodic functions that play a significant role in harmonic analysis. The approach revisits the trigonometric polynomials, seen as combinations of functions, and proposes...

    Authors: Mathilde Chevreuil and Myriam Slama
    Citation: Advanced Modeling and Simulation in Engineering Sciences 2021 8:17
  31. The elasto-plastic material behavior, material strength and failure modes of metals fabricated by additive manufacturing technologies are significantly determined by the underlying process-specific microstruct...

    Authors: Jonas Nitzler, Christoph Meier, Kei W. Müller, Wolfgang A. Wall and N. E. Hodge
    Citation: Advanced Modeling and Simulation in Engineering Sciences 2021 8:16
  32. The present work proposes an approach for fluid–solid and contact interaction problems including thermo-mechanical coupling and reversible phase transitions. The solid field is assumed to consist of several ar...

    Authors: Sebastian L. Fuchs, Christoph Meier, Wolfgang A. Wall and Christian J. Cyron
    Citation: Advanced Modeling and Simulation in Engineering Sciences 2021 8:15
  33. The numerical simulation of the induction heating process can be computationally expensive, especially if ferromagnetic materials are studied. There are several analytical models that describe the electromagne...

    Authors: Maialen Areitioaurtena, Unai Segurajauregi, Ville Akujärvi, Martin Fisk, Iker Urresti and Eneko Ukar
    Citation: Advanced Modeling and Simulation in Engineering Sciences 2021 8:14
  34. This paper presents a robust digital pipeline from CT images to the simulation of contact between multiple bodies. The proposed strategy relies on a recently developed immersed finite element algorithm that is...

    Authors: S. Claus, P. Kerfriden, F. Moshfeghifar, S. Darkner, K. Erleben and C. Wong
    Citation: Advanced Modeling and Simulation in Engineering Sciences 2021 8:13
  35. The danger of fire is present always and everywhere. The imminent danger depends upon the actual type and length of fire exposure. Reinforced concrete structural members are loadbearing components in buildup s...

    Authors: Camille A. Issa and Ramezan A. Izadifard
    Citation: Advanced Modeling and Simulation in Engineering Sciences 2021 8:12
  36. A multiscale model for real-time simulation of terrain dynamics is explored. To represent the dynamics on different scales the model combines the description of soil as a continuous solid, as distinct particle...

    Authors: Martin Servin, Tomas Berglund and Samuel Nystedt
    Citation: Advanced Modeling and Simulation in Engineering Sciences 2021 8:11
  37. In this work we investigate the Brinkman volume penalization technique in the context of a high-order Discontinous Galerkin method to model moving wall boundaries for compressible fluid...

    Authors: Neda Ebrahimi Pour, Nikhil Anand, Harald Klimach and Sabine Roller
    Citation: Advanced Modeling and Simulation in Engineering Sciences 2021 8:10
  38. In this study the isogeometric B-Rep mortar-based mapping method for geometry models stemming directly from Computer-Aided Design (CAD) is systematically augmented and applied to partitioned Fluid-Structure Inter...

    Authors: Andreas Apostolatos, Altuğ Emiroğlu, Shahrokh Shayegan, Fabien Péan, Kai-Uwe Bletzinger and Roland Wüchner
    Citation: Advanced Modeling and Simulation in Engineering Sciences 2021 8:9
  39. This paper presents an effective framework to automatically construct 3D quadrilateral meshes of complicated geometry and arbitrary topology adapted for parametric studies. The input is a triangulation of the ...

    Authors: Tristan Maquart, Thomas Elguedj, Anthony Gravouil and Michel Rochette
    Citation: Advanced Modeling and Simulation in Engineering Sciences 2021 8:8
  40. Simulators for virtual surgery training need to perform complex calculations very quickly to provide realistic haptic and visual interactions with a user. The complexity is further increased by the addition of...

    Authors: Vincent Magnoux and Benoît Ozell
    Citation: Advanced Modeling and Simulation in Engineering Sciences 2021 8:7
  41. The main aim of this article is to develop a new boundary element method (BEM) algorithm to model and simulate the nonlinear thermal stresses problems in micropolar functionally graded anisotropic (FGA) compos...

    Authors: Mohamed Abdelsabour Fahmy
    Citation: Advanced Modeling and Simulation in Engineering Sciences 2021 8:6
  42. A thorough understanding of brain metabolism is essential to tackle neurodegenerative diseases. Astrocytes are glial cells which play an important metabolic role by supplying neurons with energy. In addition, ...

    Authors: Sofia Farina, Susanne Claus, Jack S. Hale, Alexander Skupin and Stéphane P. A. Bordas
    Citation: Advanced Modeling and Simulation in Engineering Sciences 2021 8:5
  43. This research work deals with the implementation of so-called Dynamic Data-Driven Application Systems (DDDAS) in structural mechanics activities. It aims at designing a real-time numerical feedback loop betwee...

    Authors: Paul-Baptiste Rubio, Ludovic Chamoin and François Louf
    Citation: Advanced Modeling and Simulation in Engineering Sciences 2021 8:4
  44. A major challenge with modern aircraft design is the occurrence of structural features of varied length scales. Structural stiffness can be accurately represented using homogenisation, however aspects such as ...

    Authors: Matthew S. Bonney, Richard Evans, James Rouse, Arthur Jones, Pierre Kerfriden and Maxime Hamadi
    Citation: Advanced Modeling and Simulation in Engineering Sciences 2021 8:3
  45. Tagged Magnetic Resonance images (tagged-MRI) are generally considered to be the gold standard of medical imaging in cardiology. By imaging spatially-modulated magnetizations of the deforming tissue, indeed, t...

    Authors: Alexandre Imperiale, Dominique Chapelle and Philippe Moireau
    Citation: Advanced Modeling and Simulation in Engineering Sciences 2021 8:2
  46. A methodology based on Lie analysis is proposed to investigate the mechanical behavior of materials exhibiting experimental master curves. It is based on the idea that the mechanical response of materials is a...

    Authors: J. F. Ganghoffer, R. Rahouadj and A. Cheviakov
    Citation: Advanced Modeling and Simulation in Engineering Sciences 2021 8:1
  47. Multi-scale processes governed on each scale by separate principles for evolution or equilibrium are coupled by matching the stored energy and dissipation in line with the Hill-Mandel principle. We are interes...

    Authors: Muhammad S. Sarfaraz, Bojana V. Rosić, Hermann G. Matthies and Adnan Ibrahimbegović
    Citation: Advanced Modeling and Simulation in Engineering Sciences 2020 7:50
  48. This paper proposes an extension of the finite cell method (FCM) to V-rep models, a novel geometric framework for volumetric representations. This combination of an embedded domain approach (FCM) and a new mod...

    Authors: Benjamin Wassermann, Nina Korshunova, Stefan Kollmannsberger, Ernst Rank and Gershon Elber
    Citation: Advanced Modeling and Simulation in Engineering Sciences 2020 7:49
  49. A major challenge in constructing three dimensional patient specific hemodynamic models is the calibration of model parameters to match patient data on flow, pressure, wall motion, etc. acquired in the clinic....

    Authors: Christopher J. Arthurs, Nan Xiao, Philippe Moireau, Tobias Schaeffter and C. Alberto Figueroa
    Citation: Advanced Modeling and Simulation in Engineering Sciences 2020 7:48