scholarly journals ANALYSIS OF DIFFERENCES IN 3D BUILDING INFORMATION MODELING

2019 ◽  
Vol XLII-5/W2 ◽  
pp. 65-69
Author(s):  
J. Suziedelyte Visockiene ◽  
E. Tumeliene
Keyword(s):  
Construction Projects ◽  
3D Model ◽  
Low Cost ◽  
Three Dimensional ◽  
3D Models ◽  
Information Modeling ◽  
Corrected Image ◽  
Architectural Model ◽  
Building Information ◽  
The Impact

<p><strong>Abstract.</strong> The implementation of Building Information Modelling (BIM) in each project, which is planned, have a design and construction stages. In the construction stage the objects are modelled by architects, engineers, and surveyors. Modelling process allowed to construct a BIM, which replaces two-dimensional (2D) building information into a three-dimensional (3D). Noticed that 3D BIM created by surveyors is not the same as 3D BIM, which is created by architects. Therefore, the purpose of this study is to identify the differences of the created 2D draftings made by 3D models between surveyors and architect’s. The surveyors make their model by using Unnamed Aerial Vehicle (UAV) system: Airborne Drone Data and Data photogrammetric processing technology. The 3D models accuracy is assessed by UAV images processing. The 3D information should be used to calculate façade geometry, volume, distances, contours, which are in the shadowed side of the house, and create 2D façade draftings. Traditionally, architects used 2D building’s façade draftings for pre-design in Construction Projects (CP). 3D architectural model is created by using structural 2D draftings created with Autodesk software. The architectural 3D model is more convenient for the general design and the visual view, it is easily to evaluate the impact of the changes that will be made. The 3D architectural model helps to finish a project at a low cost and also to evaluate the effect of the changes made. The 3D model from surveys measurements shows real view of an object (with deformations), meanwhile the 3D model from architects is a corrected image. Discrepancies between surveyors and architect’s 2D models made by 3D virtual reality (VR) are analysed in this article.</p>

scholarly journals ABGS: A System for the Automatic Generation of Building Information Models from Two-Dimensional CAD Drawings

2020 ◽  
Vol 12 (17) ◽  
pp. 6713
Author(s):  
Youngsoo Byun ◽  
Bong-Soo Sohn
Keyword(s):  
Computer Aided Design ◽  
Low Cost ◽  
3D Models ◽  
Automatic Generation ◽  
Information Modeling ◽  
Two Dimensional ◽  
Efficient Design ◽  
Information Models ◽  
Building Information ◽  
Floor Plans

Building Information Modeling (BIM) refers to 3D-based digital modeling of buildings and infrastructure for efficient design, construction, and management. Governments have recognized and encouraged BIM as a primary method for enabling advanced construction technologies. However, BIM is not universally employed in industries, and most designers still use Computer-Aided Design (CAD) drawings, which have been used for several decades. This is because the initial costs for setting up a BIM work environment and the maintenance costs involved in using BIM software are substantially high. With this motivation, we propose a novel software system that automatically generates BIM models from two-dimensional (2D) CAD drawings. This is highly significant because only 2D CAD drawings are available for most of the existing buildings. Notably, such buildings can benefit from the BIM technology using our low-cost conversion system. One of the common problems in existing methods is possible loss of information that may occur during the process of conversion from CAD to BIM because they mainly focus on creating 3D geometric models for BIM by using only floor plans. The proposed method has an advantage of generating BIM that contains property information in addition to the 3D models by analyzing floor plans and other member lists in the input design drawings together. Experimental results show that our method can quickly and accurately generate BIM models from 2D CAD drawings.

Investigation of the Impact of BIM&IPD on Change Orders Using Bayesian Network Method

2013 ◽  
Vol 397-400 ◽  
pp. 2064-2068 ◽  
Author(s):  
Mei Liu
Keyword(s):  
Bayesian Network ◽  
Construction Projects ◽  
Negative Impact ◽  
Information Modeling ◽  
Professional Relationships ◽  
Good Tool ◽  
Change Orders ◽  
Network Method ◽  
Building Information ◽  
The Impact

Change orders present one of the largest sources of cost growth on building construction projects and have negative impact on productivity, labor efficiency and building environment. Building Information Modeling (BIM) is proved a high technology that greatly benefits both design and construction, greatly promoting the design visualization and construction 4-D modeling. Driven by BIM, Integrated Project Delivery (IPD) emphasizes communication in the collaborative process by avoiding adversarial or counter-productive professional relationships to reduce waste and rework. If BIM&IPD can be properly applied in project, quite a lot change orders can be avoided and then project cost will be reduced. This paper investigates the impact of BIM&IPD on construction change orders using Bayesian Network method. Bayesian Network is a graphic model representing cause and effect relationship between change orders and BIM&IPD. In this paper, evidence reasoning and probabilistic inference analyses are conducted to indicate the causes in light of the results and forecast the results according to causes. From the analysis, Bayesian Network is proved a good tool for construction managers to make decisions.

scholarly journals A TOOL FOR CROWDSOURCED BUILDING INFORMATION MODELING THROUGH LOW-COST RANGE CAMERA: PRELIMINARY DEMONSTRATION AND POTENTIAL

2017 ◽  
Vol XLII-2/W8 ◽  
pp. 75-81
Author(s):  
F. Capocchiano ◽  
R. Ravanelli ◽  
M. Crespi
Keyword(s):  
Low Cost ◽  
3D Models ◽  
Information Modeling ◽  
Indoor Environments ◽  
Range Camera ◽  
Information Models ◽  
Building Geometry ◽  
3D Geometry ◽  
Building Information ◽  
Geometrical Information

Within the construction sector, Building Information Models (BIMs) are more and more used thanks to the several benefits that they offer in the design of new buildings and the management of the existing ones. Frequently, however, BIMs are not available for already built constructions, but, at the same time, the range camera technology provides nowadays a cheap, intuitive and effective tool for automatically collecting the 3D geometry of indoor environments. It is thus essential to find new strategies, able to perform the first step of the scan to BIM process, by extracting the geometrical information contained in the 3D models that are so easily collected through the range cameras.<br><br> In this work, a new algorithm to extract planimetries from the 3D models of rooms acquired by means of a range camera is therefore presented. The algorithm was tested on two rooms, characterized by different shapes and dimensions, whose 3D models were captured with the Occipital Structure Sensor<sup>TM</sup>. The preliminary results are promising: the developed algorithm is able to model effectively the 2D shape of the investigated rooms, with an accuracy level comprised in the range of 5 - 10 cm. It can be potentially used by non-expert users in the first step of the BIM generation, when the building geometry is reconstructed, for collecting crowdsourced indoor information in the frame of BIMs Volunteered Geographic Information (VGI) generation.

scholarly journals Analysis of Improvement of BIM-Based Digitalization in Engineering, Procurement, and Construction (EPC) Projects in China

2021 ◽  
Vol 11 (24) ◽  
pp. 11895
Author(s):  
Yu Zheng ◽  
Llewellyn C. M. Tang ◽  
K. W. Chau
Keyword(s):  
Construction Projects ◽  
Rapid Development ◽  
Dynamic Change ◽  
Laboratory Data ◽  
Information Modeling ◽  
Time Performance ◽  
Building Information ◽  
Questionnaire Surveys ◽  
The Cost ◽  
The Impact

Digitalization is considered a dynamic change process powered by the rapid development of innovative concepts (e.g., building information modeling) that brings substantial potential benefits to the construction industry. However, previous studies of the benefits of digitalization (BIM) were mainly based on laboratory data rather than actual practices, which compromised the reliability of the results for construction practitioners. This study investigated the impact of digitalization in EPC construction projects by integrating descriptive statistics and survey-based exploratory factor analysis (SEFA). After a detailed review of related studies and meetings with experts, ten main variables and 14 unified variables were identified. The data on these variables were collected by questionnaire surveys and the extraction of information from project documentation. A total of 62 participants from 33 EPC construction projects responded to the questionnaire survey. The SEFA results indicated that digitalization can improve both the cost and time performance, with greater potential for improvement in time performance for EPC projects. In a scenario with limited digitalization implementation, this research could motivate future researchers to develop more applied research and guidelines to achieve best practices in the domain of the digitalization of construction projects.

scholarly journals A Case Study of BIM Implementation in Rail Track Rehabilitation

2019 ◽  
Vol 4 (1) ◽  
pp. 8 ◽  
Author(s):  
José Neves ◽  
Zita Sampaio ◽  
Manuel Vilela
Keyword(s):  
Three Dimensional ◽  
Parametric Representation ◽  
3D Models ◽  
Information Modeling ◽  
Planning And Scheduling ◽  
Track Geometry ◽  
Rail Track ◽  
Building Information ◽  
Types Of Information

Building Information Modeling (BIM) is an Industry 4.0 methodology that is increasingly used in the domain of Architecture, Engineering, and Construction (AEC). BIM emerges as a new methodology, one that is more collaborative and based on parametric three-Dimensional (3D) models, centralizing different types of information of a geometric, physical, and economic nature. The purpose of this paper is to analyze the application of the BIM methodology to a rail track rehabilitation case study using a geotextile and geogrid in the ballast layer base. The creation of the 3D and 4D BIM models was performed using various BIM-based tools, which made it possible to achieve the spatial and parametric representation of the rail track and the simulation of the main construction tasks. A new BIM object pertaining to the rail track was created. This paper describes the procedures applied in achieving the BIM models, the limitations involved, and the interoperability between the BIM tools. Additionally, the potential for information extraction with respect to the infrastructure design, construction, and operation, e.g., planning and scheduling, quantities, graphic outputs, and track geometry quality, was demonstrated. It was concluded that the BIM methodology was viable and could be implemented with benefits, despite certain difficulties and limitations, which emphasize the need for further developments.

scholarly journals A Self-Assembly Portable Mobile Mapping System for Archeological Reconstruction Based on VSLAM-Photogrammetric Algorithm

Sensors ◽  
2019 ◽  
Vol 19 (18) ◽  
pp. 3952 ◽  
Author(s):  
* ◽  
*
Keyword(s):  
Self Assembly ◽  
Average Distance ◽  
Low Cost ◽  
Three Dimensional ◽  
Point Clouds ◽  
3D Models ◽  
Data Capture ◽  
Information Modeling ◽  
3D Point Clouds ◽  
Mean Square Errors

Three Dimensional (3D) models are widely used in clinical applications, geosciences, cultural heritage preservation, and engineering; this, together with new emerging needs such as building information modeling (BIM) develop new data capture techniques and devices with a low cost and reduced learning curve that allow for non-specialized users to employ it. This paper presents a simple, self-assembly device for 3D point clouds data capture with an estimated base price under €2500; furthermore, a workflow for the calculations is described that includes a Visual SLAM-photogrammetric threaded algorithm that has been implemented in C++. Another purpose of this work is to validate the proposed system in BIM working environments. To achieve it, in outdoor tests, several 3D point clouds were obtained and the coordinates of 40 points were obtained by means of this device, with data capture distances ranging between 5 to 20 m. Subsequently, those were compared to the coordinates of the same targets measured by a total station. The Euclidean average distance errors and root mean square errors (RMSEs) ranging between 12–46 mm and 8–33 mm respectively, depending on the data capture distance (5–20 m). Furthermore, the proposed system was compared with a commonly used photogrammetric methodology based on Agisoft Metashape software. The results obtained demonstrate that the proposed system satisfies (in each case) the tolerances of ‘level 1’ (51 mm) and ‘level 2’ (13 mm) for point cloud acquisition in urban design and historic documentation, according to the BIM Guide for 3D Imaging (U.S. General Services).

scholarly journals Deep Belief Network Based 3D Models Classification in Building Information Modeling

2015 ◽  
Vol 11 (5) ◽  
pp. 57
Author(s):  
Li Wang ◽  
Zhi-kai Zhao ◽  
Na Xu
Keyword(s):  
3D Model ◽  
Building Information Modeling ◽  
3D Models ◽  
Deep Belief Network ◽  
Information Modeling ◽  
Layer By Layer ◽  
Restricted Boltzmann Machines ◽  
Belief Network ◽  
Model Library ◽  
Building Information

3D models classification is a critical process of Building Information Modeling (BIM). A Deep Learning Approach is proposed to classify 3D models in BIM environment. The ray based feature extraction algorithm is used to extract features of 3D models and form features matrix. The Deep Belief Network constructed by Restricted Boltzmann Machines applies the features matrix and classifies the models adopting the effective training process. The process of training DBN is layer by layer. Experiments were taken on the public 3D model library of PSB model database. The results show that compared with several commonly used classification method, the proposed method of this paper has achieved good results in the 3D model classification for efficiently BIM.

Fabrication of 3D Models for Microtia Reconstruction Using Smartphone-Based Technology

2021 ◽  
pp. 000348942110240
Author(s):  
Peng You ◽  
Yi-Chun Carol Liu ◽  
Rodrigo C. Silva
Keyword(s):  
3D Model ◽  
Low Cost ◽  
Tertiary Care ◽  
Three Dimensional ◽  
Basic Research ◽  
3D Models ◽  
University Hospital ◽  
Patient Specific ◽  
Surface Scanning ◽  
Barrier To Entry

Objective: Microtia reconstruction is technically challenging due to the intricate contours of the ear. It is common practice to use a two-dimensional tracing of the patient’s normal ear as a template for the reconstruction of the affected side. Recent advances in three-dimensional (3D) surface scanning and printing have expanded the ability to create surgical models preoperatively. This study aims to describe a simple and affordable process to fabricate patient-specific 3D ear models for use in the operating room. Study design: Applied basic research on a novel 3D optical scanning and fabrication pathway for microtia reconstruction. Setting: Tertiary care university hospital. Methods: Optical surface scanning of the patient’s normal ear was completed using a smartphone with facial recognition capability. The Heges application used the phone’s camera to capture the 3D image. The 3D model was digitally isolated and mirrored using the Meshmixer software and printed with a 3D printer (MonopriceTM Select Mini V2) using polylactic acid filaments. Results: The 3D model of the ear served as a helpful intraoperative reference and an adjunct to the traditional 2D template. Collectively, time for imaging acquisition, editing, and fabrication was approximately 3.5 hours. The upfront cost was around $210, and the recurring cost was approximately $0.35 per ear model. Conclusion: A novel, low-cost approach to fabricate customized 3D models of the ear is introduced. It is feasible to create individualized 3D models using currently available consumer technology. The low barrier to entry raises the possibility for clinicians to incorporate 3D printing into various clinical applications.

BIM-based model for quantifying the design change time ripple effect

2017 ◽  
Vol 44 (8) ◽  
pp. 626-642 ◽  
Author(s):  
Valeh Moayeri ◽  
Osama Moselhi ◽  
Zhenhua Zhu
Keyword(s):  
Construction Projects ◽  
Total Duration ◽  
Information Modeling ◽  
Ripple Effect ◽  
Project Schedule ◽  
Design Changes ◽  
Building Information ◽  
Quantification Model ◽  
The Impact

Design changes by owners are common to many construction projects and can cause severe delays if owners do not consider that a change in one part of the project may cause a series of changes in other parts of that project. The impact of a changed component on other unchanged components is known as the “change ripple effect”. To efficiently manage design changes, the ripple effect should be quantified and impact evaluated. This paper presents a building information modeling (BIM)-based quantification model to quantify the ripple effect of owner-requested design changes. The developed model calculates the impact of design changes and their ripple effect on a project’s total duration. After analyzing the ripple effect over time, the model updates the project schedule accordingly. To demonstrate its usefulness and illustrate its essential features, the model is applied to a case study.

scholarly journals A New Practical Approach for 3D Documentation in Ultraviolet Fluorescence and Infrared Reflectography of Polychromatic Sculptures as Fundamental Step in Restoration

Heritage ◽  
2019 ◽  
Vol 2 (1) ◽  
pp. 207-215 ◽  
Author(s):  
Luca Lanteri ◽  
Giorgia Agresti ◽  
Claudia Pelosi
Keyword(s):  
3D Model ◽  
Near Infrared ◽  
Organic Dyes ◽  
Low Cost ◽  
Conservation Status ◽  
Three Dimensional ◽  
Digital Camera ◽  
3D Models ◽  
Practical Approach ◽  
Digital Photogrammetry

The aim of this work is to present a new practical approach to digital photogrammetry to obtain 3D models of polychromatic sculptures under ultraviolet fluorescence and near-infrared by starting from photographic images. This digital photogrammetry was applied recently to a 17th-century reliquary bust representing St. Rodonio, a saint particularly venerated by the Orthodox Church, presently under restoration in the Laboratories of University of Tuscia and belonging to the Museum of Colle del Duomo of Viterbo (Italy). The acquisitions of ultraviolet fluorescence and infrared frames were performed using a Nikon D5300 digital SLR camera and a modified low-cost digital camera (Samsung Model NX3300), respectively. The three-dimensional UV and IR models were obtained using Agisoft PhotoScan® software. The generated ultraviolet 3D model of the bust makes visible, in a single file, the fluorescence induced by UV radiation on the entire sculpture, highlighting surface abrasions, organic dyes, and ancient protective features. The infrared 3D model allowed for better definition of the details of the drawing used for eyes, nose and mouth definition. In conclusion, the ultraviolet fluorescence and IR 3D models of Saint Rodonio were particularly useful as documentation tools for the conservation status and for the painting construction, allowing us to perfectly map the original and restoration materials and to detect the drawing in single dynamic 3D files following a totally non-invasive, cost-effective, and rapid approach.

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