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

Deadline for manuscript submissions: closed (20 July 2023) | Viewed by 8670

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Dr. Darius Migilinskas

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Department of Construction Management and Real Estate, Vilnius Gediminas Technical University, 10221 Vilnius, Lithuania
Interests: BIM 3D-4D-5D; civil engineering; construction management; multiple criteria decision making; uncertainty and game theory

Special Issue Information

Dear Colleagues,

We are welcoming researchers to take this opportunity to submit their articles to this Special Issue, entitled "Application of BIM in Intelligent Construction Technology" in the MDPI journal, Applied Sciences.

This Special Issue is related to all possible applications of building information modelling (BIM), focusing on the general use of graphical tools and data collection, advanced design solutions and intelligent construction management; however, the topics of this Special issue are not strictly limited to high-end technologies or practical and efficient BIM solutions.

Most BIM uses and decision-making processes are evaluated over time during the implementation of construction in the form of project life cycle management, which occurs during the planning, design, construction, maintenance and refurbishment/demolition phases. This is why the evolution of multi-disciplinary tools increases the range of applications and effective solutions for both creative designers and engineers, everyday professional on-site users, curious academia researchers and smart investors.

We look forward to receiving and reviewing your articles for this Special Issue. BIM application surveys, theoretical methodologies, intelligent construction technologies and articles related to these subjects are welcome.

Dr. Darius Migilinskas
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. 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

building information modelling
BIM application
intelligent construction technology
effective solutions
construction decision making

Published Papers (4 papers)

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Research

20 pages, 6822 KiB

Open AccessArticle

BIM Application in Multi-Criteria Assessment of Suspended Brickwork Façade Production Methods for a Reconstructed Building

by Viačeslav Zigmund, Jurgita Antucheviciene and Darius Migilinskas

Appl. Sci. 2023, 13(13), 7949; https://doi.org/10.3390/app13137949 - 6 Jul 2023

Viewed by 1195

Abstract

This research aims to promote a new cost-saving method for rebuilding old masonry brickwork façade by installing a suspended brickwork system. This research introduces a case study for rebuilding masonry façade by applying MCDM (multiple-criteria decision making) and BIM (building information modeling) methodologies with the evaluation of three types of brickwork façade installation alternatives prepared for production. The first type is the installation of suspended brickwork and mounting of brickwork lintels; the second type is the installation of suspended brickwork and pre-prefabricated stainless-steel components, which have been manufactured offsite, completed with adhesively bonded brick slips; and the third type is the installation of prefabricated suspended brickwork masonry panels. The main aim of the research is to promote a cost-saving production method by comparing these three alternative types of brickwork production using the BIM application in accordance with the multiple-criteria assessments. A multiple-criteria system was developed, and an expert survey was employed to estimate the relative weights of the criteria; afterwards, the alternatives were assessed using the WASPAS (Weighted Aggregated Sum Product Assessment) method. A BIM brickwork façade model was developed based on survey data, analyzed design solutions, and adaptation for the production of suspended brickwork elements. The final results and details regarding the best BIM applications in the multiple-criteria assessment of suspended brickwork façade are presented in the conclusions. Full article

(This article belongs to the Special Issue Application of BIM in Intelligent Construction Technology)

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26 pages, 5763 KiB

Open AccessArticle

Case Study of Remodelling the As-Built Documentation of a Railway Construction into the BIM and GIS Environment

by Dalibor Bartonek, Jiri Bures, Ondrej Vystavel and Radomir Havlicek

Appl. Sci. 2023, 13(9), 5591; https://doi.org/10.3390/app13095591 - 30 Apr 2023

Cited by 1 | Viewed by 1960

Abstract

Building Information Modelling (BIM) is a modern approach to managing the process of preparation, realization and operation of building objects including their documentation throughout their life cycle, based on database agenda platform. The aim of our research is to analyze and innovate existing engineering procedures with the aim: 1. to remodel the existing CAD documentation into BIM for the purpose of public procurement, 2. to provide guaranteed data to the IS of the Digital Map of Public Administration and 3. to provide data for the design of new railway structures or their reconstruction. The aim of the case study was to evaluate the effectiveness of remodelling the existing as-built documentation of a railway construction into a common BIM data environment (CDE), in which further subsequent construction agenda should be managed for the remaining period of its life cycle. Using the documentation for construction realization of the railway station Šumice, this 3D documentation was remodeled into the BIM data environment CDE and alternatively also into the 2D GIS environment. The BIM data standard developed by the State Fund for Transport Infrastructure was analyzed during the documentation reworking. An important parameter of the documentation rework was the use of a geodetic reference system fully compatible with the cadastral system in the Czech Republic. It turned out that the general data standard is only partially applicable for railway structures containing many special objects and many objects requiring individual classification. The remodelling of existing graphical data proved faster and more efficient in a GIS environment (layer oriented) compared to the need for 3D remodelling in a BIM CDE (object oriented). Experimental results have demonstrated the effectiveness of remodelling underground technical infrastructure objects, while the visible surface situation is often more effectively captured by current progressive bulk data acquisition technologies. In a CDE environment, existing as-built documentation data can be efficiently stored and administered and progressively, for the procurement and execution of construction, purposefully remodeled only to the extent required in BIM or converted into an exchangeable Digital Technical Map (DTM) format for public administration. Full article

(This article belongs to the Special Issue Application of BIM in Intelligent Construction Technology)

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38 pages, 8135 KiB

Open AccessArticle

Intelligent Multi-Criteria Decision Support for Renovation Solutions for a Building Based on Emotion Recognition by Applying the COPRAS Method and BIM Integration

by Anastasiia Velykorusova, Edmundas Kazimieras Zavadskas, Laura Tupenaite, Loreta Kanapeckiene, Darius Migilinskas, Vladislavas Kutut, Ieva Ubarte, Zilvinas Abaravicius and Arturas Kaklauskas

Appl. Sci. 2023, 13(9), 5453; https://doi.org/10.3390/app13095453 - 27 Apr 2023

Cited by 3 | Viewed by 2015

Abstract

With accelerating climate change and the urgent need to cut carbon emissions, global focus has turned to the existing building stock and its renovation. Sustainable renovation helps to achieve better energy performance and gain wider sustainability benefits, such as increased value of a building, improved indoor and outdoor comfort, reduced carbon emissions, and the higher satisfaction and better emotional state of inhabitants. Numerous systems and tools have been developed worldwide to assist with decision making in the choice of preferred modernisation scenarios and alternatives. However, social aspects are often neglected in the existing systems, and emotions of inhabitants are rarely analysed. To close this gap, the present study proposes an innovative decision-making framework for sustainable renovation solutions, based on emotion recognition. The framework makes it possible to assess various renovation alternatives against sustainability criteria and real-time measurements of the emotional states of inhabitants. Based on the proposed framework, an intelligent multi-criteria decision support system was developed by integrating COPRAS and the facial action coding system, the method of automatic facial expression recognition, and the continuous calibration and participant methods. The system was tested in the case study of renovation solutions for a building located in Ukraine. The research results revealed that the proposed renovation solutions had a positive impact on the emotional state of inhabitants, especially when visual materials such as drawings were presented. Some case studies were analysed together with the application of decision system tools and building information modelling (BIM) subsystem integration as a multidiscipline application of various applied sciences for representation and data analysis. The authors of this research have been analysing human emotional, affective and physiological states for many years and collected over a billion of these data in Vilnius city during the H2020 ROCK, SAVAS and BIM4REN projects. Data acquired during measurements in Vilnius were used to determine correlations and trends for the case study. The proposed methodology and findings of the study can be useful for researchers who use the evaluation and analysis of human emotions when there is a need to choose appropriate renovation measures or find alternative solutions. Full article

(This article belongs to the Special Issue Application of BIM in Intelligent Construction Technology)

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23 pages, 5927 KiB

Open AccessArticle

Assessment of 3D Models Placement Methods in Augmented Reality

by Nabil El Barhoumi, Rafika Hajji, Zakaria Bouali, Youssef Ben Brahim and Abderrazzaq Kharroubi

Appl. Sci. 2022, 12(20), 10620; https://doi.org/10.3390/app122010620 - 20 Oct 2022

Cited by 12 | Viewed by 2784

Abstract

Augmented reality (AR) is a relevant technology, which has demonstrated to be efficient for several applications, especially in the architecture, engineering, construction and operation (AECO) domain, where the integration of building information modeling (BIM) and AR has proved to be optimal in handling construction projects. However, the main challenge when integrating a virtual 3D model in an AR environment is the lack of precision and accuracy of placement that can occur between the real and the virtual environments. Although methods for placement via AR have been reported in the literature, there is a lack of investigations addressing their evaluation. Therefore, this paper proposes a methodology to perform a quantitative and qualitative assessment of several AR placement methods and a discussion about their usability in the specific context of AECO. We adopt root mean square error (RMSE) to quantify the placement accuracy of a 3D model and standard deviation to examine its stability (jittering). The results revealed that the AR placement error range is extremely wide (from a few centimeters up to meters). In marker-based methods, the results showed centimeter-range in both indoor and outdoor environments, compared to other methods (Inertial, Marker-less, etc.), while marker-less methods have widely varying error range from centimeters to a few meters. Other commercial solutions based on placement-sensors (GNSS and IMU), such as Trimble SiteVision, have proven placement performance in manual mode with centimeter order, while for the automatic mode, the order of placement and stability is metric, due to the low coverage of RTX (real time extended) in the study area. Full article

(This article belongs to the Special Issue Application of BIM in Intelligent Construction Technology)

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