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Computation
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Selected Papers from the 8th International Conference from Scientific Computing...
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Selected Papers from the 8th International Conference from Scientific Computing to Computational Engineering (IC-SCCE 2018)

A special issue of Computation (ISSN 2079-3197). This special issue belongs to the section "Computational Engineering".

Deadline for manuscript submissions: closed (10 November 2018) | Viewed by 11153

Special Issue Editor

Prof. Dr. Demos T. Tsahalis

E-Mail Website
Guest Editor
Learning Foundation in Mechatronics (LFME), Irakleiou 17, GR-11141 Athens, Greece
Interests: mechatronics; unsteady boundary layers; separation; vortex-induced vibrations; active control; noise; vibrations; health monitoring; structures; human response; modeling; artificial neural networks; multiobjective optimization; genetic algorithms; expert systems; artificial intelligence
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

The 8th International Conference on Scientific Computing to Computational Engineering (IC-SCCE) was held from 4–7 July, 2018, at Glyfada, Athens, Greece. For more information about the conference, please visit the conference web-site (www.scce.gr).

Selected papers, presented at the conference and included in the conference proceedings will be considered for inclusion in the Special Issue. The authors of the selected papers will be notified by the Conference Chairman to submit their papers to this Special Issue of the journal Computation after the conference, the latest by 10 November 2018, if they so wish. Submitted papers could be extended, from their conference size, by a minimum of 30% to include new results, if any. All submitted papers will undergo the journal’s standard peer-review procedure. Accepted papers will be published in open access in Computation and collected together in this Special Issue website. The papers accepted for publication will be charged with a preferrential, discounted Article Processing Charge (APC) of 250 CHF, instead of the 350 CHF full APC for this journal.

Please prepare and format your paper according to the Instructions for Authors. Use the LaTeX or Microsoft Word template file of the journal (both are available from the Instructions for Authors page). Manuscripts should be submitted online via the susy.mdpi.com editorial system.

Prof. Dr. Demos T. Tsahalis
Guest Editor

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. Computation is an international peer-reviewed open access monthly 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 1800 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 (3 papers)

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Research

11 pages, 940 KiB  
Article
Minimizing the Duration of Repetitive Construction Processes with Work Continuity Constraints
by Piotr Jaśkowski and Sławomir Biruk
Computation 2019, 7(1), 14; https://0-doi-org.brum.beds.ac.uk/10.3390/computation7010014 - 06 Mar 2019
Cited by 9 | Viewed by 3303
Abstract
This study adopts the flow shop concept used in industrial production to schedule repetitive non-linear construction projects, where specialized groups of workers execute processes in work zones (buildings) in a predefined order common to all groups. This problem is characteristic of construction projects [...] Read more.
This study adopts the flow shop concept used in industrial production to schedule repetitive non-linear construction projects, where specialized groups of workers execute processes in work zones (buildings) in a predefined order common to all groups. This problem is characteristic of construction projects that involve erecting multiple buildings. As the duration of the project heavily depends upon the sequence of the work zones, this study aims at providing a model and a practical approach for finding the optimal solution that assures the shortest duration of the project, allows the contractor to complete particular work zones (buildings) as soon as possible (without idle time), and conforms to a predefined sequence of work zone completion. This last constraint may arise from the client’s requirements or physical conditions of the project and has not been addressed by existing scheduling methods. Reducing the duration of the entire project brings the benefit of lower indirect costs and, if accompanied by a reduced duration of completing particular buildings (i.e., work zones), may also provide the opportunity to sell project deliverables sooner, thus improving the economic efficiency of the project. In search of optimal schedules, the authors apply the algorithms of Minimum Hamiltonian Cycle/Asymmetric Traveling Salesman Problem (ATSP). Full article
(This article belongs to the Special Issue Selected Papers from the 8th International Conference from Scientific Computing to Computational Engineering (IC-SCCE 2018))
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13 pages, 4060 KiB  
Article
Thermal Behavior of a Building with Incorporated Phase Change Materials in the South and the North Wall
by Maria T. Plytaria, Christos Tzivanidis, Evangelos Bellos, Ioannis Alexopoulos and Kimon A. Antonopoulos
Computation 2019, 7(1), 2; https://0-doi-org.brum.beds.ac.uk/10.3390/computation7010002 - 21 Dec 2018
Cited by 12 | Viewed by 3568
Abstract
Energy consumption in the building sector is responsible for a very large amount of electricity consumption worldwide. The reduction of this consumption is a crucial issue in order to achieve sustainability. The objective of this work is to investigate the use of phase [...] Read more.
Energy consumption in the building sector is responsible for a very large amount of electricity consumption worldwide. The reduction of this consumption is a crucial issue in order to achieve sustainability. The objective of this work is to investigate the use of phase change materials (PCMs) in the building walls in order to reduce the heating and the cooling loads. The novelty of this work is based on the investigation of different scenarios about the position of the PCM layer in the south and the north walls. PCMs can improve the thermal performance and the thermal comfort of a building due to their ability to store large amounts of thermal energy in latent form and so to reduce the temperature fluctuations of the structural components, keeping them within the desired temperature levels. More specifically, this work presents and compares the heating loads, the cooling loads and the temperature distribution of a building in Athens (Greece), with and without PCMs in different positions in the south wall and in the north walls. The simulation is performed with the commercial software TRNSYS 17, using the TRNSYS component: type 1270 (PCM Wall). The results proved that the maximum energy savings per year were achieved by the combination of the insulation and the PCM layer in the north and south walls. More specifically, the reductions in the heating and the cooling loads were found to be 1.54% and 5.90%, respectively. Furthermore, the temperature distribution with the use of a PCM layer is the most acceptable, especially during the summer period. Full article
(This article belongs to the Special Issue Selected Papers from the 8th International Conference from Scientific Computing to Computational Engineering (IC-SCCE 2018))
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15 pages, 11163 KiB  
Article
Computational Assessment of the Hazardous Release Dispersion from a Diesel Pool Fire in a Complex Building’s Area
by Konstantinos Vasilopoulos, Michalis Mentzos, Ioannis E. Sarris and Panagiotis Tsoutsanis
Computation 2018, 6(4), 65; https://0-doi-org.brum.beds.ac.uk/10.3390/computation6040065 - 13 Dec 2018
Cited by 3 | Viewed by 3800
Abstract
A hazardous release accident taking place within the complex morphology of an urban setting could cause grave damage both to the population’s safety and to the environment. An unpredicted accident constitutes a complicated physical phenomenon with unanticipated outcomes. This is because, in the [...] Read more.
A hazardous release accident taking place within the complex morphology of an urban setting could cause grave damage both to the population’s safety and to the environment. An unpredicted accident constitutes a complicated physical phenomenon with unanticipated outcomes. This is because, in the event of an unforeseen accident, the dispersion of the hazardous materials exhausted in the environment is determined by unstable parameters such as the wind flow and the complex turbulent diffusion around urban blocks of buildings. Our case study focused on a diesel pool fire accident that occured between an array of nine cubical buildings. The accident was studied with a Large eddy Simulation model based on the Fire Dynamics Simulation method. This model was successfully compared against the nine cubes of the Silsoe experiment. The model’s results were used for the determination of the immediately dangerous to life or health smoke zones of the accident. It was found that the urban geometry defined the hazardous gasses dispersion, thus increasing the toxic mass concentration around the buildings. Full article
(This article belongs to the Special Issue Selected Papers from the 8th International Conference from Scientific Computing to Computational Engineering (IC-SCCE 2018))
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