Search for Articles:
Title / Keyword
Author / Affiliation / Email
Journal
Article Type
 
 
Advanced Search
 
Section
Special Issue
Volume
Issue
Number
Page
 
5.3
2.5
Journals
Applied Sciences
Special Issues
Synergy of Building Information Modeling and Optimization in Civil Engineering
applsci-logo
Submit to Applied Sciences Review for Applied Sciences Propose a Special Issue

Journal Menu

► Journal Menu

Journal Browser

► Journal Browser
share announcement

Synergy of Building Information Modeling and Optimization in Civil Engineering

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

Deadline for manuscript submissions: closed (31 May 2022) | Viewed by 15154

Special Issue Editors

Dr. Mario Galić

E-Mail
Guest Editor
Associate Professor, Faculty of Civil Engineering and Architecture Osijek, Josip Juraj Strossmayer University of Osijek, Street Vladimir Prelog 3, 31000 Osijek, Croatia
Interests: BIM; civil engineering; construction process modelling, simulation and optimization; construction project planning and scheduling; construction technology; logistics and supply chain management
Special Issues, Collections and Topics in MDPI journals
Prof. Dr. Uroš Klanšek

E-Mail Website
Guest Editor
Faculty of Civil Engineering, Transportation Engineering and Architecture, University of Maribor, 2000 Maribor, Slovenia
Interests: civil engineering; construction management; project scheduling; optimization; mathematical programming; mixed-integer nonlinear programming
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

We kindly invite you to contribute to the Special Issue of Applied Sciences devoted to the latest developments in building information modeling (BIM) and optimization approaches in the field of civil engineering. Submissions of original scientific works as well as review papers focused on the synergy between BIM and optimization are strongly encouraged and welcome.

More than a decade, BIM represents arguably one of the fastest-growing approaches in the construction industry, and, as such, an important accelerator for the current industrial revolution commonly referred to as Construction 4.0. The dynamic connection of the BIM model with input/output data has also directed the development of exact mathematical programming as well as meta-, hyper-, and bio-heuristic optimization techniques for solving a variety of civil engineering challenges. The main goal is to establish a holistic dynamic approach to integrating BIM and optimization methods while achieving the synergy effect for the benefit of the overall success of construction.

From this perspective, we invite you to publish your present work in this Special Issue.

Dr. Mario Galić
Prof. Dr. Uroš Klanšek
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.

Keywords

  • BIM
  • active BIM
  • iBIM
  • BIM for Construction 4.0
  • building life-cycle management BLM
  • BIM-based construction safety management
  • BIM-based procurement, legislation, and contracting
  • BIM-based construction site digital monitoring
  • BIM-based AR and VR
  • IoT-, cloud-, and BIM-based Intelligent information systems
  • open BIM and interoperable data transfer, IFC4, IDM, IFD
  • exact mathematical programming optimization methods in civil engineering
  • meta-, hyper-, and bio-heuristic optimization methods in civil engineering
  • project scheduling
  • construction site layout planning
  • construction process modeling and simulation
  • structural optimization

Published Papers (4 papers)

Download All Papers
Order results
Result details
Show export options expand_more Show export options expand_less
Select all
Export citation of selected articles as:

Research

22 pages, 6525 KiB  
Article
Performative Structural Design Optimization: Generative Algorithm for a Preliminary Study of a Voided Beam
by Laura Sardone, Alessandra Fiore, Amedeo Manuello and Rita Greco
Appl. Sci. 2022, 12(17), 8663; https://doi.org/10.3390/app12178663 - 29 Aug 2022
Cited by 3 | Viewed by 1686
Abstract
In the world of structural design, in most cases, there is a need to control the shape of structural elements and—at the same time—the performance that each one can achieve. With the evolution of structural analysis tools, nowadays it is possible not only [...] Read more.
In the world of structural design, in most cases, there is a need to control the shape of structural elements and—at the same time—the performance that each one can achieve. With the evolution of structural analysis tools, nowadays it is possible not only to have an immediate investigation of the structure’s performance, but also to search for the best shape by imposing geometric constraints. The aim of this paper is to present an innovative methodology called the performative structural design optimization (PSDO) method, based on the use of algorithm-aided design (AAD). The proposed approach deals with an emptied voided beam; starting from the parameterization of a large-span beam, the search method for the most performing shape is accomplished by multi-objective evolutionary algorithms (MOEAs). The obtained results are characterized by a double optimization: the structure achieved by the hypervolume estimation algorithm for multi-objective optimization (HypE Reduction) (OCTOPUS) represents the starting shape for the application of form-finding, giving so the possibility to obtain different feasible solutions from a single study and to choose the best one in terms of structural behavior. Full article
(This article belongs to the Special Issue Synergy of Building Information Modeling and Optimization in Civil Engineering)
►▼ Show Figures

Figure 1

16 pages, 80069 KiB  
Article
The Synergy of Metadata and Metamodel through Algorithm Modeling—Case Study of the Roof Tiles in Yangxindian Palace (Beijing, China)
by Xi Wang, Cong Wu, Yutian Lu and Miao Tian
Appl. Sci. 2022, 12(14), 7031; https://doi.org/10.3390/app12147031 - 12 Jul 2022
Cited by 2 | Viewed by 1622
Abstract
The investigation of cultural heritage is a continuous process, in which a large scale of metadata is gradually accumulated, i.e., condition data, intervention data, and the comprehension of building techniques. We take the roof tile of Yangxindian Palace as an example. The total [...] Read more.
The investigation of cultural heritage is a continuous process, in which a large scale of metadata is gradually accumulated, i.e., condition data, intervention data, and the comprehension of building techniques. We take the roof tile of Yangxindian Palace as an example. The total number of roof tiles is 17,154. Their positions are various, as they are equally distributed on double-curved irregular surfaces. Their metadata are multisource and heterogeneous. Therefore, the integration between the model and the data can be complex. This paper aims to generate the M1 (metalevel) model with its graph database based on the M3 (metalevel) model through algorithm modeling. This synergy approach consists of three parts. First is the data collection. The unique identifier is used as the index while investigating onsite, which eventually forms the metadata repository. Second is the algorithm modeling. All the roof tiles are rebuilt in Grasshopper with identifiers. Their metadata are merged through Cypher syntax, which can generate the graph database in Neo4j. Third is the delivery. The IFC model and knowledge graph are connected in real time during the whole process. The significance of this paper is to provide a synergy approach and discuss its efficiency for the integration between a model and data of very large quantities. The results show that it is efficient to express the semantic relationships of both conditions and interventions. It is practicable to lightweight the IFC model and to associate metadata into the graph database, enabling online browsing and querying. Full article
(This article belongs to the Special Issue Synergy of Building Information Modeling and Optimization in Civil Engineering)
►▼ Show Figures

Figure 1

25 pages, 4691 KiB  
Article
On BIM Interoperability via the IFC Standard: An Assessment from the Structural Engineering and Design Viewpoint
by Salvatore Gerbino, Luigi Cieri, Carlo Rainieri and Giovanni Fabbrocino
Appl. Sci. 2021, 11(23), 11430; https://doi.org/10.3390/app112311430 - 2 Dec 2021
Cited by 13 | Viewed by 4635
Abstract
Building information modelling (BIM) plays a prominent role in a good deal of architecture, engineering and construction (AEC) works, envisaging a full transition to digitalization for the construction industry. This is also due to a number of national and international regulations regarding the [...] Read more.
Building information modelling (BIM) plays a prominent role in a good deal of architecture, engineering and construction (AEC) works, envisaging a full transition to digitalization for the construction industry. This is also due to a number of national and international regulations regarding the design, erection, and management of civil engineering constructions. For this reason, full interoperability of software environments such as computer-aided design (CAD) and computer-aided engineering (CAE) is a necessary requirement, particularly when the exchange of information comes from different disciplines. Users, throughout the years, have faced CAD–CAE interoperability issues despite following the IFC neutral open file format. This inability to share data (CAD to CAD, CAD to CAE) often generates model-interpretation problems as well as a lack of parametric information and a disconnection of elements. This paper addresses issues and mapping mechanisms in the exchange of data for the purpose of defining a baseline for the current status of bidirectional data exchange between AEC CAD/CAE software via the IFC format. A benchmark study, covering three years of software releases is illustrated; the assessment of the software performance was made with reference to criteria associated with the software’s level of suitability for use of the structural models. Four classes of performance, depending on the accuracy of the data transfer and on the associated corrective actions to be taken, were adopted. This confirmed that at the moment, the implementation of the IFC standard by software manufacturers is geared towards an expert class of users. Further efforts are needed in order to ensure its application is adopted by a wider class, thus extending and regulating its use by national, regional, and local authorities. Full article
(This article belongs to the Special Issue Synergy of Building Information Modeling and Optimization in Civil Engineering)
►▼ Show Figures

Figure 1

18 pages, 7983 KiB  
Article
Construction Planning and Scheduling of a Renovation Project Using BIM-Based Multi-Objective Genetic Algorithm
by Pornpote Nusen, Wanarut Boonyung, Sunita Nusen, Kriengsak Panuwatwanich, Paskorn Champrasert and Manop Kaewmoracharoen
Appl. Sci. 2021, 11(11), 4716; https://doi.org/10.3390/app11114716 - 21 May 2021
Cited by 20 | Viewed by 5994
Abstract
Renovation is known to be a complicated type of construction project and prone to errors compared to new constructions. The need to carry out renovation work while keeping normal business activities running, coupled with strict governmental building renovation regulations, presents an important challenge [...] Read more.
Renovation is known to be a complicated type of construction project and prone to errors compared to new constructions. The need to carry out renovation work while keeping normal business activities running, coupled with strict governmental building renovation regulations, presents an important challenge affecting construction performance. Given the current availability of robust hardware and software, building information modeling (BIM) and optimization tools have become essential tools in improving construction planning, scheduling, and resource management. This study explored opportunities to develop a multi-objective genetic algorithm (MOGA) on existing BIM. The data were retrieved from a renovation project over the 2018–2020 period. Direct and indirect project costs, actual schedule, and resource usage were tracked and retrieved to create a BIM-based MOGA model. After 500 generations, optimal results were provided as a Pareto front with 70 combinations among total cost, time usage, and resource allocation. The BIM-MOGA can be used as an efficient tool for construction planning and scheduling using a combination of existing BIM along with MOGA into professional practices. This approach would help improve decision-making during the construction process based on the Pareto front data provided. Full article
(This article belongs to the Special Issue Synergy of Building Information Modeling and Optimization in Civil Engineering)
►▼ Show Figures

Figure 1

Show export options expand_more Show export options expand_less
Select all
Export citation of selected articles as:
 
Displaying articles 1-4
Back to TopTop