Special Issue "Civil Engineering and Symmetry"

A special issue of Symmetry (ISSN 2073-8994).

Deadline for manuscript submissions: closed (31 January 2018)

Special Issue Editors

Guest Editor
Prof. Edmundas Kazimieras Zavadskas

Department of Construction Management and Real Estate, Laboratory of Operational Research, Research Institute of Sustainable Construction, Vilnius Gediminas Technical University, LT-10223 Vilnius, Lithuania
Website | E-Mail
Interests: multi-criteria decision-making; operations research; decision support systems; multiple-criteria optimization in construction technology and management
Guest Editor
Prof. Dr. Romualdas Bausys

Department of Graphical systems, Vilnius Gediminas Technical University, Saulėtekio al. 11, LT-10223 Vilnius, Lithuania
E-Mail
Interests: multiple criteria decision making (MCDM); fuzzy MCDM; decision support systems
Guest Editor
Prof. Jurgita Antuchevičienė

Department of Construction Management and Real Estate, Vilnius Gediminas Technical University, LT-10223 Vilnius, Lithuania
Website | E-Mail
Interests: multi-criteria decision-making; operations research; decision support systems; multiple-criteria optimization in construction technology and management

Special Issue Information

Dear Colleagues,

The topic of utmost importance in civil engineering is optimal solutions throughout the life cycle of the buildings, roads, bridges and other infrastructure objects. Operational research, management science, optimization methods provide a consistent and applicable groundwork for engineering decision making. Traditionally, decision makers need to take into account not a single criterion, but several different criteria, therefore multi-criteria decision making (MCDM) approaches are usually applied. MCDM methods cover two branches: multi objective decision making (MODM) techniques and multi attribute decision making (MADM) approaches. Articles are welcome on this issue, where solutions in civil engineering that bring economic, social and environmental benefits are offered through a variety of methodologies and tools (e.g., information technologies, optimization methods, operational research and management science, multi-criteria decision-making methods).

Prof. Dr. Edmundas Kazimieras Zavadskas
Prof. Dr. Romualdas Bausys
Prof. Dr. Jurgita Antuchevičienė
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 papers will be 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. Symmetry 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 1400 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

  • Design in civil engineering
  • Buildings, materials and structures
  • Infrastructure objects
  • Roads and bridges
  • Maintenance technologies
  • Operational research and management science
  • Information technologies
  • Optimization methods
  • Multiple criteria decision making

Published Papers (9 papers)

View options order results:
result details:
Displaying articles 1-9
Export citation of selected articles as:

Editorial

Jump to: Research

Open AccessEditorial Civil Engineering and Symmetry
Symmetry 2019, 11(4), 501; https://doi.org/10.3390/sym11040501
Received: 2 April 2019 / Accepted: 2 April 2019 / Published: 5 April 2019
PDF Full-text (611 KB) | HTML Full-text | XML Full-text
Abstract
A topic of utmost importance in civil engineering is finding optimal solutions throughout the life cycle of buildings and infrastructural objects, including their design, manufacturing, use, and maintenance. Operational research, management science, and optimisation methods provide a consistent and applicable groundwork for engineering [...] Read more.
A topic of utmost importance in civil engineering is finding optimal solutions throughout the life cycle of buildings and infrastructural objects, including their design, manufacturing, use, and maintenance. Operational research, management science, and optimisation methods provide a consistent and applicable groundwork for engineering decision-making. These topics have received the interest of researchers, and, after a rigorous peer-review process, eight papers have been published in the current special issue. The articles in this issue demonstrate how solutions in civil engineering, which bring economic, social and environmental benefits, are obtained through a variety of methodologies and tools. Usually, decision-makers need to take into account not just a single criterion, but several different criteria and, therefore, multi-criteria decision-making (MCDM) approaches have been suggested for application in five of the published papers; the rest of the papers apply other research methods. The methods and application case studies are shortly described further in the editorial. Full article
(This article belongs to the Special Issue Civil Engineering and Symmetry)
Figures

Figure 1

Research

Jump to: Editorial

Open AccessFeature PaperArticle Pre-Rationalized Parametric Designing of Roof Shells Formed by Repetitive Modules of Catalan Surfaces
Symmetry 2018, 10(4), 105; https://doi.org/10.3390/sym10040105
Received: 13 February 2018 / Revised: 6 April 2018 / Accepted: 8 April 2018 / Published: 11 April 2018
Cited by 4 | PDF Full-text (38217 KB) | HTML Full-text | XML Full-text
Abstract
The aim of the study is to develop an original, methodical, and practical approach to the early stages of parametric design of roof shells formed by repetitive modules of Catalan surfaces. It is presented on the example of designing the roof shells compound [...] Read more.
The aim of the study is to develop an original, methodical, and practical approach to the early stages of parametric design of roof shells formed by repetitive modules of Catalan surfaces. It is presented on the example of designing the roof shells compound of four concrete elements. The designing process proposed by us consists in linking geometric shaping of roofs’ models with their structural analysis and optimization. Contrary to other methods, which use optimization process in order to find free roof forms, we apply it in order to explore and improve design alternatives. It is realized with the application of designing tools working in Rhinoceros 3D software. The flexible scripts elaborated by us, in order to achieve roofs’ models of regular and symmetrical shapes, are converted into simulation models to perform structural analysis. It is mainly focused on how the roof shells perform dependently on their geometric characteristics. The simulation enables one to evaluate various roof shells’ shapes, as well as to select an optimal design solution. The proposed approach to the conceptual design process may drive the designing to achieve geometric and structural forms which not only follow the design intentions but also target better results. Full article
(This article belongs to the Special Issue Civil Engineering and Symmetry)
Figures

Figure 1

Open AccessArticle A Hybrid MCDM Technique for Risk Management in Construction Projects
Symmetry 2018, 10(2), 46; https://doi.org/10.3390/sym10020046
Received: 24 November 2017 / Revised: 30 January 2018 / Accepted: 9 February 2018 / Published: 13 February 2018
Cited by 15 | PDF Full-text (1717 KB) | HTML Full-text | XML Full-text
Abstract
Multi-stakeholder based construction projects are subject to potential risk factors due to dynamic business environment and stakeholders’ lack of knowledge. When solving project management tasks, it is necessary to quantify the main risk indicators of the projects. Managing these requires suitable risk mitigation [...] Read more.
Multi-stakeholder based construction projects are subject to potential risk factors due to dynamic business environment and stakeholders’ lack of knowledge. When solving project management tasks, it is necessary to quantify the main risk indicators of the projects. Managing these requires suitable risk mitigation strategies to evaluate and analyse their severity. The existence of information asymmetry also causes difficulties with achieving Pareto efficiency. Hence, to ensure balanced satisfaction of all participants, risk evaluation of these projects can be considered as an important part of the multi-criteria decision-making (MCDM) process. In real-life problems, evaluation of project risks is often uncertain and even incomplete, and the prevailing methodologies fail to handle such situations. To address the problem, this paper extends the analytical network process (ANP) methodology in the D numbers domain to handle three types of ambiguous information’s, viz. complete, uncertain, and incomplete, and assesses the weight of risk criteria. The D numbers based approach overcomes the deficiencies of the exclusiveness hypothesis and completeness constraint of Dempster–Shafer (D–S) theory. Here, preference ratings of the decision matrix for each decision-maker are determined using a D numbers extended consistent fuzzy preference relation (D-CFPR). An extended multi-attributive border approximation area comparison (MABAC) method in D numbers is then developed to rank and select the best alternative risk response strategy. Finally, an illustrative example from construction sector is presented to check the feasibility of the proposed approach. For checking the reliability of alternative ranking, a comparative analysis is performed with different MCDM approaches in D numbers domain. Based on different criteria weights, a sensitivity analysis of obtained ranking of the hybrid D-ANP-MABAC model is performed to verify the robustness of the proposed method. Full article
(This article belongs to the Special Issue Civil Engineering and Symmetry)
Figures

Figure 1

Open AccessArticle A Novel Approach for Evaluation of Projects Using an Interval–Valued Fuzzy Additive Ratio Assessment (ARAS) Method: A Case Study of Oil and Gas Well Drilling Projects
Symmetry 2018, 10(2), 45; https://doi.org/10.3390/sym10020045
Received: 4 November 2017 / Revised: 2 January 2018 / Accepted: 8 January 2018 / Published: 12 February 2018
Cited by 12 | PDF Full-text (1993 KB) | HTML Full-text | XML Full-text
Abstract
The beginning of the 21st-century resulted in a more developed multi-attribute decision-making (MADM) tool and inspired new application areas that have resulted in discoveries in sustainable construction and building life cycle analysis. Construction and civil engineering stand for the central axis of a [...] Read more.
The beginning of the 21st-century resulted in a more developed multi-attribute decision-making (MADM) tool and inspired new application areas that have resulted in discoveries in sustainable construction and building life cycle analysis. Construction and civil engineering stand for the central axis of a body consisting of a multidisciplinary (multi-dimensional) world with ties to disciplines constituting the surface, and with the disciplines, as a consequence, tied to each other. When dealing with multi-attribute decision-making problems generally multiple solutions exist, especially when there is a large number of attributes, and the concept of Pareto-optimality is inefficient. The symmetry and structural regularity are essential concepts in many natural and man-made objects and play a crucial role in the design, engineering, and development of the world. The complexity and risks inherent in projects along with different effective indicators for success and failure may contribute to the difficulties in performance evaluation. In such situations, increasing the importance of uncertainty is observed. This paper proposes a novel integrated tool to find a balance between sustainable development, environmental impact and human well-being, i. e. to find symmetry axe with respect to goals, risks, and constraints (attributes) to cope with the complicated problems. The concept of “optimal solution” as the maximum degree of implemented goals (attributes) is very important. The model is built using the most relevant variables cited in the reviewed project literature and integrates two methods: the Step-Wise Weight Assessment Ratio Analysis (SWARA) method and a novel interval-valued fuzzy extension of the Additive Ratio Assessment (ARAS) method. This model was used to solve real case study of oil and gas well drilling projects evaluation. Despite the importance of oil and gas well drilling projects, there is lack of literature that describes and evaluates performance in this field projects. On the other hand, no structured assessment methodology has been presented for these types of projects. Given the limited research on performance evaluation in oil & gas well-drilling projects, the research identifies a set of performance criteria and proposes an evaluation model using fuzzy Delphi method. An illustrative example shows that the proposed method is a useful and alternative decision-making method. Full article
(This article belongs to the Special Issue Civil Engineering and Symmetry)
Figures

Figure 1

Open AccessFeature PaperArticle A Model for Shovel Capital Cost Estimation, Using a Hybrid Model of Multivariate Regression and Neural Networks
Symmetry 2017, 9(12), 298; https://doi.org/10.3390/sym9120298
Received: 27 October 2017 / Revised: 23 November 2017 / Accepted: 29 November 2017 / Published: 1 December 2017
Cited by 4 | PDF Full-text (3627 KB) | HTML Full-text | XML Full-text
Abstract
Cost estimation is an essential issue in feasibility studies in civil engineering. Many different methods can be applied to modelling costs. These methods can be divided into several main groups: (1) artificial intelligence, (2) statistical methods, and (3) analytical methods. In this paper, [...] Read more.
Cost estimation is an essential issue in feasibility studies in civil engineering. Many different methods can be applied to modelling costs. These methods can be divided into several main groups: (1) artificial intelligence, (2) statistical methods, and (3) analytical methods. In this paper, the multivariate regression (MVR) method, which is one of the most popular linear models, and the artificial neural network (ANN) method, which is widely applied to solving different prediction problems with a high degree of accuracy, have been combined to provide a cost estimate model for a shovel machine. This hybrid methodology is proposed, taking the advantages of MVR and ANN models in linear and nonlinear modelling, respectively. In the proposed model, the unique advantages of the MVR model in linear modelling are used first to recognize the existing linear structure in data, and, then, the ANN for determining nonlinear patterns in preprocessed data is applied. The results with three indices indicate that the proposed model is efficient and capable of increasing the prediction accuracy. Full article
(This article belongs to the Special Issue Civil Engineering and Symmetry)
Figures

Figure 1

Open AccessArticle Tool-Wear Analysis Using Image Processing of the Tool Flank
Symmetry 2017, 9(12), 296; https://doi.org/10.3390/sym9120296
Received: 5 November 2017 / Revised: 27 November 2017 / Accepted: 28 November 2017 / Published: 30 November 2017
Cited by 1 | PDF Full-text (3205 KB) | HTML Full-text | XML Full-text
Abstract
Flexibility of manufacturing systems is an essential factor in maintaining the competitiveness of industrial production. Flexibility can be defined in several ways and according to several factors, but in order to obtain adequate results in implementing a flexible manufacturing system able to compete [...] Read more.
Flexibility of manufacturing systems is an essential factor in maintaining the competitiveness of industrial production. Flexibility can be defined in several ways and according to several factors, but in order to obtain adequate results in implementing a flexible manufacturing system able to compete on the market, a high level of autonomy (free of human intervention) of the manufacturing system must be achieved. There are many factors that can disturb the production process and reduce the autonomy of the system, because of the need of human intervention to overcome these disturbances. One of these factors is tool wear. The aim of this paper is to present an experimental study on the possibility to determine the state of tool wear in a flexible manufacturing cell environment, using image acquisition and processing methods. Full article
(This article belongs to the Special Issue Civil Engineering and Symmetry)
Figures

Figure 1

Open AccessArticle Novel Integrated Multi-Criteria Model for Supplier Selection: Case Study Construction Company
Symmetry 2017, 9(11), 279; https://doi.org/10.3390/sym9110279
Received: 12 October 2017 / Revised: 4 November 2017 / Accepted: 9 November 2017 / Published: 17 November 2017
Cited by 25 | PDF Full-text (1697 KB) | HTML Full-text | XML Full-text
Abstract
Supply chain presents a very complex field involving a large number of participants. The aim of the complete supply chain is finding an optimum from the aspect of all participants, which is a rather complex task. In order to ensure optimum satisfaction for [...] Read more.
Supply chain presents a very complex field involving a large number of participants. The aim of the complete supply chain is finding an optimum from the aspect of all participants, which is a rather complex task. In order to ensure optimum satisfaction for all participants, it is necessary that the beginning phase consists of correct evaluations and supplier selection. In this study, the supplier selection was performed in the construction company, on the basis of a new approach in the field of multi-criteria model. Weight coefficients were obtained by DEMATEL (Decision Making Trial and Evaluation Laboratory) method, based on the rough numbers. Evaluation and the supplier selection were made on the basis of a new Rough EDAS (Evaluation based on Distance from Average Solution) method, which presents one of the latest methods in this field. In order to determine the stability of the model and the applicability of the proposed Rough EDAS method, an extension of the COPRAS and MULTIMOORA method by rough numbers was also performed in this study, and the findings of the comparative analysis were presented. Besides the new approaches based on the extension by rough numbers, the results are also compared with the Rough MABAC (MultiAttributive Border Approximation area Comparison) and Rough MAIRCA (MultiAttributive Ideal-Real Comparative Analysis). In addition, in the sensitivity analysis, 18 different scenarios were formed, the ones in which criteria change their original values. At the end of the sensitivity analysis, SCC (Spearman Correlation Coefficient) of the obtained ranges was carried out, confirming the applicability of the proposed approaches. Full article
(This article belongs to the Special Issue Civil Engineering and Symmetry)
Figures

Figure 1

Open AccessArticle The Selection of Wagons for the Internal Transport of a Logistics Company: A Novel Approach Based on Rough BWM and Rough SAW Methods
Symmetry 2017, 9(11), 264; https://doi.org/10.3390/sym9110264
Received: 30 September 2017 / Revised: 30 October 2017 / Accepted: 1 November 2017 / Published: 4 November 2017
Cited by 23 | PDF Full-text (2533 KB) | HTML Full-text | XML Full-text
Abstract
The rationalization of logistics activities and processes is very important in the business and efficiency of every company. In this respect, transportation as a subsystem of logistics, whether internal or external, is potentially a huge area for achieving significant savings. In this paper, [...] Read more.
The rationalization of logistics activities and processes is very important in the business and efficiency of every company. In this respect, transportation as a subsystem of logistics, whether internal or external, is potentially a huge area for achieving significant savings. In this paper, the emphasis is placed upon the internal transport logistics of a paper manufacturing company. It is necessary to rationalize the movement of vehicles in the company’s internal transport, that is, for the majority of the transport to be transferred to rail transport, because the company already has an industrial track installed in its premises. To do this, it is necessary to purchase at least two used wagons. The problem is formulated as a multi-criteria decision model with eight criteria and eight alternatives. The paper presents a new approach based on a combination of the Simple Additive Weighting (SAW) method and rough numbers, which is used for ranking the potential solutions and selecting the most suitable one. The rough Best–Worst Method (BWM) was used to determine the weight values of the criteria. The results obtained using a combination of these two methods in their rough form were verified by means of a sensitivity analysis consisting of a change in the weight criteria and comparison with the following methods in their conventional and rough forms: the Analytic Hierarchy Process (AHP), Technique for Ordering Preference by Similarity to Ideal Solution (TOPSIS) and MultiAttributive Border Approximation area Comparison (MABAC). The results show very high stability of the model and ranks that are the same or similar in different scenarios. Full article
(This article belongs to the Special Issue Civil Engineering and Symmetry)
Figures

Figure 1

Open AccessArticle Evaluation of Airplane Boarding/Deboarding Strategies: A Surrogate Experimental Test
Symmetry 2017, 9(10), 222; https://doi.org/10.3390/sym9100222
Received: 15 September 2017 / Revised: 1 October 2017 / Accepted: 9 October 2017 / Published: 11 October 2017
Cited by 5 | PDF Full-text (4526 KB) | HTML Full-text | XML Full-text
Abstract
Optimally organizing passengers boarding/deboarding an airplane offers a potential way to reduce the airplane turn time. The main contribution of our work is that we evaluate seven boarding strategies and two structured deboarding strategies by using a surrogate experimental test. Instead of boarding [...] Read more.
Optimally organizing passengers boarding/deboarding an airplane offers a potential way to reduce the airplane turn time. The main contribution of our work is that we evaluate seven boarding strategies and two structured deboarding strategies by using a surrogate experimental test. Instead of boarding a real or mocked airplane, we carried out the experiment by organizing 40 participants to board a school bus with ten rows of four seats, symmetrically distributed on a single, central aisle. Experimental results confirm that the optimized strategies, i.e., Steffen and Steffen-lug, are superior to the traditional ones, i.e., Back-to-front, Window-to-aisle, and Random in time-saving and stability. However, the two structured deboarding strategies failed to reduce the deboarding time, and this result strongly suggests the prerequisites of applying such strategies only when, on average, passengers have a large amount of luggage. Besides, we further carried out a questionnaire survey of participants’ preferences on seat layout and discussed how those preferences influence the boarding time. Full article
(This article belongs to the Special Issue Civil Engineering and Symmetry)
Figures

Figure 1

Symmetry EISSN 2073-8994 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert
Back to Top