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Energies
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Computational Methods of Multi-Physics Problems Ⅱ
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Computational Methods of Multi-Physics Problems Ⅱ

A special issue of Energies (ISSN 1996-1073).

Deadline for manuscript submissions: closed (29 February 2020) | Viewed by 12436

Special Issue Editors

Prof. Dr. Timon Rabczuk

grade E-Mail Website1 Website2
Guest Editor
Institute of Structural Mechanics, Bauhaus-Universität Weimar, Weimar, Thuringia, Germany
Interests: discontinuity; machine learning; multiscale modelling; isogeometric analysis
Special Issues, Collections and Topics in MDPI journals
Dr. Xiaoying Zhuang

E-Mail Website
Guest Editor
Institute of Continuum Mechanics, Leibniz University Hanover, 30167 Hannover, Germany
Interests: computational materials; device design and optimization; computational methods

Special Issue Information

Dear Colleagues,

We are inviting submissions to the Special Issue, “Computational Methods for Multi-Physics Problems Ⅱ”, which is a continuation of the previous Special Issue, “Computational Methods for Multi-Physics Problems”. These problems might include hydraulic fracturing, piezoelectricity, flexoelectricity, modeling of energy harvesters or energy storage, or the modeling of batteries, to name a few topics. The focus of the manuscripts should be on computational modeling or new computational methods for such multi-physics problems. Computational modeling is a powerful tool and is complementary to experimental testing. Topics of interest for publication include, but are not limited to, the following:

  • Computational methods for moving boundary/interface problems;
  • Phase field models;
  • Meshfree and isogeometric formulations;
  • Multiscale methods;
  • Uncertainty analysis and uncertainty quantification;
  • Verification and validation;
  • Optimization;
  • Machine learning approaches;
  • Prediction of material properties;
  • Nano-scale modeling (MD, DFT, etc.).

Prof. Dr. Timon Rabczuk
Dr. Xiaoying Zhuang
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. Energies 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 2600 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.

Published Papers (4 papers)

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Research

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27 pages, 3675 KiB  
Article
Approaches for Modelling the Physical Behavior of Technical Systems on the Example of Wind Turbines
by Ralf Stetter
Energies 2020, 13(8), 2087; https://0-doi-org.brum.beds.ac.uk/10.3390/en13082087 - 22 Apr 2020
Cited by 14 | Viewed by 2511
Abstract
Models of technical systems are an essential means in design and product-development processes. A large share of technical systems, or at least subsystems, are directly or indirectly connected with the generation or transformation of energies. In design science, elaborated modelling approaches were developed [...] Read more.
Models of technical systems are an essential means in design and product-development processes. A large share of technical systems, or at least subsystems, are directly or indirectly connected with the generation or transformation of energies. In design science, elaborated modelling approaches were developed for different levels of product concretization, for instance, requirement models and function models, which support innovation and new product-development processes, as well as for energy-generating or -transforming systems. However, on one product-concretization level, the abstract level that describes the physical behavior, research is less mature, and an overview of the approaches, their respective advantages, and the connection possibilities between them and other modelling forms is difficult to achieve. This paper proposes a novel discussion structure based on modelling perspectives and digital-engineering frameworks. In this structure, current approaches are described and illustrated on the basis of an example of a technical system, a wind turbine. The approaches were compared, and their specific advantages were elaborated. It is a central conclusion that all perspectives could contribute to holistic product modelling. Consequently, combination and integration possibilities were discussed as well. Another contribution is the derivation of future research directions in this field; these were derived both from the identification of “white spots” and the most promising modelling approaches. Full article
(This article belongs to the Special Issue Computational Methods of Multi-Physics Problems Ⅱ)
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21 pages, 5287 KiB  
Article
Evaluation of Effectiveness of CO2 Sequestration Using Portland Cement in Geological Reservoir Based on Unified Pipe-network Method
by Xiao Yan, Zizheng Sun, Shucai Li, Weimin Yang and Yiming Zhang
Energies 2020, 13(2), 387; https://0-doi-org.brum.beds.ac.uk/10.3390/en13020387 - 13 Jan 2020
Cited by 4 | Viewed by 2129
Abstract
In this paper, we first recapitulate some basic notions of the CO 2 sequestration and numerical model. Next, a mixed model is employed into the CO 2 sequestration framework, for simulating CO 2 geological sequestration processes. The last part of the paper makes [...] Read more.
In this paper, we first recapitulate some basic notions of the CO 2 sequestration and numerical model. Next, a mixed model is employed into the CO 2 sequestration framework, for simulating CO 2 geological sequestration processes. The last part of the paper makes extensions to evaluation of the effectiveness of CO 2 sequestration with respect to atmospheric pressure, formation temperature, the initial reactant concentration, fracture aperture, and fracture dip. The results show that reactive Portland cement has a great impact on the effectiveness of CO 2 sequestration, while the proposed mixed model is robust in simulation. Full article
(This article belongs to the Special Issue Computational Methods of Multi-Physics Problems Ⅱ)
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16 pages, 5460 KiB  
Article
Bayesian Approach for Predicting Soil-Water Characteristic Curve from Particle-Size Distribution Data
by Lin Wang, Wengang Zhang and Fuyong Chen
Energies 2019, 12(15), 2992; https://0-doi-org.brum.beds.ac.uk/10.3390/en12152992 - 02 Aug 2019
Cited by 23 | Viewed by 3048
Abstract
Soil-water characteristic curve (SWCC) is a significant prerequisite for slope stability analysis involving unsaturated soils. However, it is difficult to measure an entire SWCC over a wide suction range using in-situ or laboratory tests. As an alternative, the Arya and Paris (AP) model [...] Read more.
Soil-water characteristic curve (SWCC) is a significant prerequisite for slope stability analysis involving unsaturated soils. However, it is difficult to measure an entire SWCC over a wide suction range using in-situ or laboratory tests. As an alternative, the Arya and Paris (AP) model provides a feasible way to predict SWCC from the routinely available particle-size distribution (PSD) data by introducing a scaling parameter. The accuracy of AP model is generally dependent on the calibrated database which contains test data collected from other sites. How to use the available test data to determine the scaling parameter and to predict the SWCC remains an unresolved problem. This paper develops a Bayesian approach to predict SWCC from PSD. The proposed approach not only determines the scaling parameter, but also identifies fitting parameters of the parametric SWCC model. Finally, the proposed approach is illustrated using real data in Unsaturated Soil Database (UNSODA). Results show that the proposed approach provides a proper prediction of SWCC by making use of the available test data. Additionally, the proposed approach is capable of predicting SWCC in the high suction range, allowing engineers to obtain a complete SWCC in practice with reasonable accuracy. Full article
(This article belongs to the Special Issue Computational Methods of Multi-Physics Problems Ⅱ)
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Review

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29 pages, 3485 KiB  
Review
Computational Modeling of Flexoelectricity—A Review
by Xiaoying Zhuang, Binh Huy Nguyen, Subbiah Srivilliputtur Nanthakumar, Thai Quoc Tran, Naif Alajlan and Timon Rabczuk
Energies 2020, 13(6), 1326; https://0-doi-org.brum.beds.ac.uk/10.3390/en13061326 - 12 Mar 2020
Cited by 41 | Viewed by 4182
Abstract
Electromechanical coupling devices have been playing an indispensable role in modern engineering. Particularly, flexoelectricity, an electromechanical coupling effect that involves strain gradients, has shown promising potential for future miniaturized electromechanical coupling devices. Therefore, simulation of flexoelectricity is necessary and inevitable. In this paper, [...] Read more.
Electromechanical coupling devices have been playing an indispensable role in modern engineering. Particularly, flexoelectricity, an electromechanical coupling effect that involves strain gradients, has shown promising potential for future miniaturized electromechanical coupling devices. Therefore, simulation of flexoelectricity is necessary and inevitable. In this paper, we provide an overview of numerical procedures on modeling flexoelectricity. Specifically, we summarize a generalized formulation including the electrostatic stress tensor, which can be simplified to retrieve other formulations from the literature. We further show the weak and discretization forms of the boundary value problem for different numerical methods, including isogeometric analysis and mixed FEM. Several benchmark problems are presented to demonstrate the numerical implementation. The source code for the implementation can be utilized to analyze and develop more complex flexoelectric nano-devices. Full article
(This article belongs to the Special Issue Computational Methods of Multi-Physics Problems Ⅱ)
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