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Applied Sciences
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Advances in BIM-Based Architecture and Civil Infrastructure Systems
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Advances in BIM-Based Architecture and Civil Infrastructure Systems

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

Deadline for manuscript submissions: 31 January 2025 | Viewed by 2917

Special Issue Editors

Prof. Dr. Seungyeon Choo

E-Mail Website
Guest Editor
School of Architecture, Kyungpook National University, Daegu 41566, Republic of Korea
Interests: building information modeling (BIM); artificial intelligence (AI); design computing; smart cites; digital twin
Special Issues, Collections and Topics in MDPI journals
Prof. Dr. Sangyoon Chin

E-Mail Website
Guest Editor
School of Civil, Architectural Engineering, and Landscape Architecture, Sungkyunkwan University, Suwon 16419, Republic of Korea
Interests: building information modeling (BIM); construction IT; smart construction; smart city
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

Industrial language, including representation and communication methods, is increasingly evolving based on building information modeling (BIM) in the architecture, engineering, and construction (AEC) industry. Furthermore, as it is associated with Industry 4.0 technologies, BIM plays a key role in the digital transformation of the AEC industry, acting as a backbone that serves as an information and knowledge container and carrier that supports smart design, smart construction, and smart operation and maintenance (O&M) throughout the project lifecycle.

This Special Issue on “Advances in BIM-Based Architecture and Civil Infrastructure Systems” pursues not only academic advances but also industrial ones that include case studies and advanced practices. Therefore, the scope of this Special Issue covers research development, advanced practices, or case studies that involve BIM and/or Industry 4.0-relevant technologies, including but not limited to those listed in the keywords, throughout the AEC project lifecycle.

Prof. Dr. Seungyeon Choo
Prof. Dr. Sangyoon Chin
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at mdpi.longhoe.net 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.

Related Special Issue

Published Papers (4 papers)

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Research

26 pages, 8701 KiB  
Article
Industry Foundation Class-Based Building Information Modeling Lightweight Visualization Method for Steel Structures
by Zhiguo Sun, Chen Wang and Jie Wu
Appl. Sci. 2024, 14(13), 5507; https://doi.org/10.3390/app14135507 - 25 Jun 2024
Viewed by 520
Abstract
The efficient extraction, storage, and visualization of geometric and semantic information is a key foundation for the operation of the building information modeling (BIM) platform. This study aims to develop a lightweight BIM system and optimize the system’s performance according to the specific [...] Read more.
The efficient extraction, storage, and visualization of geometric and semantic information is a key foundation for the operation of the building information modeling (BIM) platform. This study aims to develop a lightweight BIM system and optimize the system’s performance according to the specific characteristics of steel structures. This study proposes several novel techniques for extracting and decoupling the geometric and semantic information of components from industry foundation class (IFC) files. A redundancy removal approach combining the principal content analysis (PCA) algorithm and the Hausdorff-based comparison algorithm is proposed to identify standardized steel components, and a lightweight visualization method on Web3D for redundant instances is also presented. A loading mechanism of the level of detail (LOD) model based on a mesh simplification algorithm is presented to optimize the display efficiency. The developed system is evaluated by three steel structural models. Using the redundancy removal approach, the number of instances is decreased by 96.46% in less than 30 s and over 30 FPS (frame per second) is kept when rendering. Using the LOD loading mechanism, 95.38% of vertices and 98.46% of patches are eliminated under 50 mm precision. The experiment results indicate that users can quickly load large BIM models and fetch sufficient information from the website. Full article
(This article belongs to the Special Issue Advances in BIM-Based Architecture and Civil Infrastructure Systems)
19 pages, 8899 KiB  
Article
Harnessing Heritage BIM for Enhanced Architectural Documentation of Ad Deir in Petra
by Ahmad Baik and Yahya Alshawabkeh
Appl. Sci. 2024, 14(11), 4562; https://doi.org/10.3390/app14114562 - 26 May 2024
Viewed by 459
Abstract
This paper investigates the utilisation of heritage building information modelling (BIM) in order to improve the architectural heritage documentation process at Ad Deir, a significant historical building within the UNESCO World Heritage site of Petra, Jordan. Ad Deir, also known as ‘The Monastery’, [...] Read more.
This paper investigates the utilisation of heritage building information modelling (BIM) in order to improve the architectural heritage documentation process at Ad Deir, a significant historical building within the UNESCO World Heritage site of Petra, Jordan. Ad Deir, also known as ‘The Monastery’, requires accurate and complete documentation for its preservation and effective management. Traditional documentation methods, such as manual surveys and 2D drawings, frequently fail to obtain the intricate details and complexity of heritage structures. This study proposes the use of heritage BIM, which involves creating a digital representation of Ad Deir by combining various data types such as geometric, material, and historical information. Laser scanning technology is used to capture the site in three dimensions, providing a precise representation of its current state. The point clouds are exported to the BIM workflow once they have been processed. The longitudinal and cross-sections of the point clouds revealed the dimensions of regular and irregular elements, which were then traced and modelled accurately. This digital model serves as a platform for future data integration, which may include historical documentation, architectural plans, and construction details. Creating accurate heritage BIM, which involves various levels of knowledge, improves quality control during conservation work and aids in informed decision-making. Full article
(This article belongs to the Special Issue Advances in BIM-Based Architecture and Civil Infrastructure Systems)
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31 pages, 5507 KiB  
Article
The Development of an Automated System for a Quality Evaluation of Engineering BIM Models: A Case Study
by Mojtaba Valinejadshoubi, Osama Moselhi, Ivanka Iordanova, Fernando Valdivieso, Azin Shakibabarough and Ashutosh Bagchi
Appl. Sci. 2024, 14(8), 3244; https://doi.org/10.3390/app14083244 - 12 Apr 2024
Viewed by 963
Abstract
The growing adoption of Building Information Modeling (BIM) within the architectural, engineering, and construction (AEC) sector raises questions about the quality of BIM data deliverables for project owners. Therefore, assessment and evaluation of such BIM data against relevant documents such as the BIM [...] Read more.
The growing adoption of Building Information Modeling (BIM) within the architectural, engineering, and construction (AEC) sector raises questions about the quality of BIM data deliverables for project owners. Therefore, assessment and evaluation of such BIM data against relevant documents such as the BIM Execution Plan (BEP), the Level of Definition (LOD)/Level of Information (LOI) matrix, and quality control customized checklists become critical, especially in large construction projects. This study primarily aims to create an automated system for assessing the quality of 3D BIM model data, utilizing a proposed project quality control checklist. The automated system consists of four key elements: a BIM-based model, a Data Extraction and Analysis Module, a Data Storage Module, and a Data Visualization Module. The Data Extraction and Analysis Module extracts relevant information and parameters from BIM models to evaluate their quality against predefined checklists. Then, it transfers the information and stores the results in a database. The database is connected to an engineering project collaboration tool, ProjectWise, to automatically update and store the data in the cloud. The database is then connected to an interactive data visualization platform, Power BI, to enable automatic visualization of the generated quality assessment results of the BIM models’ data. This system was applied to a Canadian infrastructure construction project by its BIM department during the preliminary and detailed design phases. It demonstrated an average quality score (AQS) of 87.6% for the BIM models and significantly reduced failing items by around 30%. This study concludes that the system offers a robust, practical solution for enhancing the quality control process in BIM model data management, thereby aiding engineers in timely model adjustments to meet project requirements. Full article
(This article belongs to the Special Issue Advances in BIM-Based Architecture and Civil Infrastructure Systems)
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15 pages, 26502 KiB  
Article
Develo** a Framework for Data-Driven Generation of Building Information Modeling from Sketches: Enhancing Efficiency in Space Configuration and Building Performance Analysis
by WoonSeong Jeong, ByungChan Kong and Sang-Guk Yum
Appl. Sci. 2024, 14(7), 3013; https://doi.org/10.3390/app14073013 - 3 Apr 2024
Viewed by 590
Abstract
The demand for compact housing is on the rise, driven by the need for floor plans that accommodate stakeholders’ preferences. However, clients frequently struggle to convey their spatial needs to professionals, such as architects, due to a lack of means to present evidence, [...] Read more.
The demand for compact housing is on the rise, driven by the need for floor plans that accommodate stakeholders’ preferences. However, clients frequently struggle to convey their spatial needs to professionals, such as architects, due to a lack of means to present evidence, such as spatial configurations or cost projections. This study seeks to develop a methodology that translates sketched, data-driven spatial requirements into 3D building components within BIM (Building Information Modeling) to enhance spatial comprehension and offer building performance analysis, assisting in budget considerations during the initial design stages. The research methodology encompasses the formulation of a process model, its implementation, and subsequent validation. The process model outlines the data flow within the system and delineates necessary functionalities. Implementation includes the creation of systems and user interfaces for the integration of various components. Validation confirms the system’s capability to automatically transform sketched spatial requirements into BIM model elements, such as walls, floors, and roofs, and to autonomously compute material and energy expenses based on the BIM model. This system enables clients to effectively generate 3D building components from sketches, aiding stakeholders in spatial understanding and building performance evaluation through the generated BIM models. Full article
(This article belongs to the Special Issue Advances in BIM-Based Architecture and Civil Infrastructure Systems)
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