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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 May 2024 | Viewed by 1101

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 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.

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Published Papers (2 papers)

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Research

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 457
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
Developing 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 - 03 Apr 2024
Viewed by 365
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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