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Computational Modeling and Simulation of Solids and Structures: Recent Advances...
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Computational Modeling and Simulation of Solids and Structures: Recent Advances and Practical Applications (Volume II)

A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Mechanical Engineering".

Deadline for manuscript submissions: closed (30 May 2023) | Viewed by 6516

Special Issue Editors

Dr. Jin-Gyun Kim

E-Mail Website
Guest Editor
Department of Mechanical Engineering, Kyung Hee University, Yongin 449-701, Republic of Korea
Interests: mechanics of composite materials and structures; finite element methods; deployable structures; shock-absorbing structures
Special Issues, Collections and Topics in MDPI journals
Prof. Dr. Jae Hyuk Lim

E-Mail Website
Guest Editor
Department of Mechanical Engineering, Jeonbuk National University, 567 Baekje-daero, Deokjin-gu, Jeonju-si, Jeollabuk-do 54896, Korea
Interests: mechanics of composite materials and structures; finite element methods; deployable structures; shock-absorbing structures
Special Issues, Collections and Topics in MDPI journals
Prof. Dr. Peter Persson

E-Mail Website
Guest Editor
Department of Construction Sciences, Lund University, 221 00 Lund, Sweden
Interests: structural dynamics; ground vibration; wave propagation; finite element analysis; stochastic modeling
Special Issues, Collections and Topics in MDPI journals
Prof. Dr. Lars Vabbersgaard Andersen

E-Mail Website
Guest Editor
Department of Engineering, Aarhus University, Navitas, Inge Lehmanns Gade 10, DK-8000 Aarhus C, Denmark
Interests: soil dynamics; soil–structure interaction; numerical methods; foundations; wind turbines
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

Computational modeling and simulation are essential to solid and structural mechanics. They have not only covered entire engineering fields (civil, aerospace, mechanical, etc.), but also various scales (from nano to macro) and physics (mono- and multiphysics). Recently, they have been found to be able to offer theoretical backgrounds of digital transformation. Society at large is increasingly enthusiastic about data-driven modeling and simulation, and the possibilities they offer.

The aim of this Special Issue is to provide a forum for researchers to discuss recent advanced computational modeling and simulation techniques of solids and structures, and applications to solve challenging engineering problems. Innovative and novel modeling approaches, numerical methods, and industrial applications are of special interest. The industrial applications should include a strong connection to computational modeling and simulation. We invite contributions to this Special Issue on topics including, but not limited to, the following:

Numerical methods:

  • Finite elements;
  • Flexible multibody dynamics;
  • Numerical and semianalytical methods.

Modeling and simulation aspects:

  • Linear/nonlinear dynamics;
  • Computational solid mechanics;
  • Wave propagation/vibration;
  • Multiscale/multiphysics;
  • Composites.

Data-driven modeling and simulation:

  • Machine learning based;
  • Parameter identification;
  • Model updating;
  • Stochastic modeling.
  • Design of solids and structures:
  • Optimization methods;
  • Engineering solutions;
  • Parametric and topology optimization.

Applications include, but not limited to:

  • Aerospace engineering (aircraft, helicopters, missiles, launchers, satellites, etc.);
  • Civil engineering (buildings, lightweight structures, bridges, wind turbines, etc.);
  • Mechanical engineering (home appliances, manufacturing devices, robotics, vehicles, precision machinery, etc.).

Welcome to read the papers published in Volume I:

Special Issue "Computational Modeling and Simulation of Solids and Structures: Recent Advances and Practical Applications"
https://www.mdpi.com/journal/applsci/special_issues/Modeling_Simulation_of_Solids_and_Structures.

Prof. Dr. Jin-Gyun Kim
Prof. Dr. Jae Hyuk Lim
Prof. Dr. Peter Persson
Prof. Dr. Lars Vabbersgaard Andersen
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Applied Sciences is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2400 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • computational dynamics
  • computational mechanics
  • finite element analysis
  • wave propagation
  • data-driven modeling and simulation

Published Papers (4 papers)

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Research

12 pages, 4009 KiB  
Article
Establishment and Numerical Analysis of Rolling Force Model Based on Dynamic Roll Gap
by Laihua Tao, Qiaoyi Wang and Huajie Wu
Appl. Sci. 2023, 13(13), 7394; https://doi.org/10.3390/app13137394 - 22 Jun 2023
Cited by 1 | Viewed by 1849
Abstract
Applying mathematical models and numerical methods is crucial for describing and simulating the metal cold-rolling process, wherein the accurate prediction of rolling force is an effective way to improve the quality of rolled sheets. This paper considers key influencing parameters such as friction [...] Read more.
Applying mathematical models and numerical methods is crucial for describing and simulating the metal cold-rolling process, wherein the accurate prediction of rolling force is an effective way to improve the quality of rolled sheets. This paper considers key influencing parameters such as friction lubrication, stress, tension, and roll-flattening radius during the rolling process and establishes a calculation model for the friction coefficient and roll-flattening radius. By considering the coupling effect of the dynamic roll gap on rolling force, a rolling force model for non-steady-state friction lubrication during the rolling process is obtained. The correctness of the proposed model is verified by comparing it with industrial measurement results. The influences of the friction coefficient, stress, tension before and after rolling, and roll-flattening radius on rolling force are quantitatively studied. The results show that the rolling force increases with an increase in the friction coefficient. When the friction coefficient exceeds 0.2, the rate of increase slows down, approaching dry friction conditions. The rolling force increases linearly with stress but decreases with increasing tension before and after rolling. The rolling force model, considering the roll-flattening radius, provides numerical calculation results that are closer to an industrial measured rolling force. This work contributes to a better understanding of the mechanism behind the improvement of the cold rolling process. Full article
(This article belongs to the Special Issue Computational Modeling and Simulation of Solids and Structures: Recent Advances and Practical Applications (Volume II))
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15 pages, 3267 KiB  
Article
Numerical Evaluation of Residual Stress Influence on SIF in CT Specimen
by Remigijus Janulionis and Gintautas Dundulis
Appl. Sci. 2023, 13(10), 6180; https://doi.org/10.3390/app13106180 - 18 May 2023
Viewed by 869
Abstract
Residual stresses are usually associated with stresses induced by heterogeneous deformations as a cause of phase transition and thermal stress. The residual stresses can appear during the manufacturing process, repair process, or in some cases due to operational loads. These stresses should be [...] Read more.
Residual stresses are usually associated with stresses induced by heterogeneous deformations as a cause of phase transition and thermal stress. The residual stresses can appear during the manufacturing process, repair process, or in some cases due to operational loads. These stresses should be taken into account in the structural integrity evaluation of low-toughness materials or in the case of fatigue and/or stress corrosion cracking (SCC) situations. Indeed, it is known that residual stresses affect crack growth rates. For a better understanding of how these stresses can interact with crack propagation in pre-strained stainless-steel specimens, numerical modeling has been performed. The tension of the compact tension (CT) specimen was simulated and as a result, the stress intensity factor (SIF) was calculated. The main goal of this paper is to numerically calculate the stress intensity factors along the crack front of the CT specimen with residual stresses and compare them with the results of tension of the same specimen just without residual stresses. For this task finite element analysis (FEA), code CAST3M was used. Simulation results showed that the higher SIF values were calculated at the sides and the lower in the middle part of the CT specimen machined from a highly pre-strained plate which is opposite to what could be expected in a specimen without residual stresses. Full article
(This article belongs to the Special Issue Computational Modeling and Simulation of Solids and Structures: Recent Advances and Practical Applications (Volume II))
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31 pages, 12822 KiB  
Article
T-Splines for Isogeometric Analysis of the Large Deformation of Elastoplastic Kirchhoff–Love Shells
by Mayi Guo, Wei Wang, Gang Zhao, Xiaoxiao Du, Ran Zhang and Jiaming Yang
Appl. Sci. 2023, 13(3), 1709; https://doi.org/10.3390/app13031709 - 29 Jan 2023
Cited by 1 | Viewed by 1852
Abstract
In this paper, we develop a T-spline-based isogeometric method for the large deformation of Kirchhoff–Love shells considering highly nonlinear elastoplastic materials. The adaptive refinement is implemented, and some relatively complex models are considered by utilizing the superiorities of T-splines. A classical finite strain [...] Read more.
In this paper, we develop a T-spline-based isogeometric method for the large deformation of Kirchhoff–Love shells considering highly nonlinear elastoplastic materials. The adaptive refinement is implemented, and some relatively complex models are considered by utilizing the superiorities of T-splines. A classical finite strain plastic model combining von Mises yield criteria and the principle of maximum plastic dissipation is carefully explored in the derivation of discrete isogeometric formulations under the total Lagrangian framework. The Bézier extraction scheme is embedded into a unified framework converting T-spline or NURBS models into Bézier meshes for isogeometric analysis. An a posteriori error estimator is established and used to guide the local refinement of T-spline models. Both standard T-splines with T-junctions and unstructured T-splines with extraordinary points are investigated in the examples. The obtained results are compared with existing solutions and those of ABAQUS. The numerical results confirm that the adaptive refinement strategy with T-splines could improve the convergence behaviors when compared with the uniform refinement strategy. Full article
(This article belongs to the Special Issue Computational Modeling and Simulation of Solids and Structures: Recent Advances and Practical Applications (Volume II))
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37 pages, 15401 KiB  
Article
A New Robust Method to Investigate Dynamic Instability of FTV for the Double Tripod Industrial Driveshafts in the Principal Parametric Resonance Region
by Mihai Bugaru and Ovidiu Vasile
Appl. Sci. 2022, 12(12), 6182; https://doi.org/10.3390/app12126182 - 17 Jun 2022
Viewed by 1285
Abstract
The present work aims to design a robust method to detect and certify the deterministic chaos or ergodic process for the forced torsional vibrations (FTV) of a double tripod industrial driveshaft (DTID) in transition through the principal parametric resonance region (PPRR) which is [...] Read more.
The present work aims to design a robust method to detect and certify the deterministic chaos or ergodic process for the forced torsional vibrations (FTV) of a double tripod industrial driveshaft (DTID) in transition through the principal parametric resonance region (PPRR) which is considered by the researchers in the field as one of the most important resonance regions for the systems having parametric excitations. The DTID’s model for FTV considers the following effects: nonuniformities of inertial characteristics of the DTID’s elements, the harmonic torque excitation induced by the asynchronous electrical motor used for a heavy-duty grain mill, and the harmonic reaction torque generated by different granulation of the substance needed to be milled. Based on these aspects, a model of the FTV for the DTID was designed which was a modified, physically consistent model already used by the authors to investigate the FTV of automotive driveshafts (homokinetic transmission). For the DTID elements, the dynamic instability for nonstationary FTV in the PPRR using time–history analysis (THA) was analyzed—THA represents the phase portraits. Time–history analysis is a detection method for possible chaotic dynamic behavior for the nonstationary FTV (NFTV) in transition through PPRR. If this dynamic behavior was seen, a new robust method LEA–PM was created to certify and confirm the deterministic chaos for the NFTV of DTID. The new method, LEA–PM, is composed of the Lyapunov exponent’s approach (LEA) coupled with the Poincaré Map (PM) applied to the global system of differential equations that describe the FTV of DTID in the PPRR. This new robust method, which embeds LEA and PM, LEA–PM, establishes if the mechanical system has a deterministic chaotic dynamic behavior (strange attractor) or an ergodic dynamic process in this resonant region. LEA represents a new method that includes not only the maximal Lyapunov exponent method (MLEM) but also new mathematical criteria that is “the sum of all Lyapunov exponents has to be negative” which, coupled with MLEM, indicates the presence of deterministic chaos (strange attractors). THA–LEA–PM had been used for the NFTV of DTID computing the phase portraits, the Lyapunov exponents, and representing the Poincaré Maps of the NFTV for the DTID’s elements in transition through PPRR, founding deterministic chaos or ergodic dynamic behavior. Based on the obtained results, numerical simulations revealed the pitting manifestations of the DTID’s elements, typical for the geared systems transmission, mentioned recently in experimental data research for the homokinetic transmissions. Using the new robust method, THA–LEA–PM (time–history analysis coupled with LEA–PM) can be used in future research for chaotic dynamic analysis of DTID’s NFTV transition through superharmonic resonances, subharmonic resonances, combination resonances, and internal resonances. Time–history analysis as a detection method for chaos and LEA–PM as a certifying method for deterministic chaos can be integrated as a design tool for DTID’s FTV control of the homokinetic transmission. Full article
(This article belongs to the Special Issue Computational Modeling and Simulation of Solids and Structures: Recent Advances and Practical Applications (Volume II))
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