BIM AND VR/AR TECHNOLOGIES: FROM PROJECT DEVELOPMENT TO LIFECYCLE ASSET MANAGEMENT

Author(s):  
Ossama Salem ◽  
Immanuel John Samuel ◽  
Song He

Building Information Modeling (BIM) is becoming more and more an industrial standard for the AEC industry that can provide an integrated approach for effectively managing data and information throughout a project lifecycle. Planning, design, and construction phases of different types of projects can benefit from integrating other technologies such as Virtual Reality (VR) and Augmented Reality (AR) with BIM to enhance its functionalities, including virtual walkthrough, schedule visualization, clash detection, and as-built modeling. Additionally, asset management functions during the maintenance and operation phase of facilities and infrastructure can substantially benefit from this kind of integration. This paper will provide a comprehensive review upon several emerging technologies regarding (1) technological advancements reflected by software and hardware development, (2) applications in the design, construction and asset management through integration with BIM in all phases of projects, and (3) current state of research and practice. It will specifically, provide some limiting factors that prevent VR/AR from further deployment, including lack of GPS accuracy, complexity in development and unclear data security will be explained. Additionally, this paper will present the ben

Author(s):  
Lisa Lenz ◽  
Kai Christian Weist ◽  
Marvin Hoepfner ◽  
Panagiotis Spyridis ◽  
Mike Gralla

AbstractIn the last few years, particular focus has been devoted to the life cycle performance of fastening systems, which is reflected in increasing numbers of publications, standards and large-scale research efforts. Simultaneously, experience shows that in many cases, where fastening systems are implemented – such as industrial facilities – the design of fasteners is governed by fatigue loading under dynamic characteristics. In order to perform an adequate design and to specify the most efficient and appropriate fastening product, the engineer needs to access and process a broad range of technical and commercial information. Building information modelling (BIM), as a data management method in the construction industry, can supply such information and accommodate a comprehensive design and specification process. Furthermore, the application of BIM-based processes, such as the generation of a BIM-model, allows to use the important information for the construction as well as the life cycle management with different actions and time dependencies of the asset and its components. As a consequence, the BIM model offers the potential to correlate different data relevant for achieving the goals of the respective application, in order to ensure a more effective and correct design of the fastening. This paper demonstrates such a BIM-based design framework for an Industry 4.0 case, and in particular, the installation of a factory robot through post-installed anchors under fatigue-relevant loading in concrete.


2020 ◽  
Vol 12 (11) ◽  
pp. 1800 ◽  
Author(s):  
Maarten Bassier ◽  
Maarten Vergauwen

The processing of remote sensing measurements to Building Information Modeling (BIM) is a popular subject in current literature. An important step in the process is the enrichment of the geometry with the topology of the wall observations to create a logical model. However, this remains an unsolved task as methods struggle to deal with the noise, incompleteness and the complexity of point cloud data of building scenes. Current methods impose severe abstractions such as Manhattan-world assumptions and single-story procedures to overcome these obstacles, but as a result, a general data processing approach is still missing. In this paper, we propose a method that solves these shortcomings and creates a logical BIM model in an unsupervised manner. More specifically, we propose a connection evaluation framework that takes as input a set of preprocessed point clouds of a building’s wall observations and compute the best fit topology between them. We transcend the current state of the art by processing point clouds of both straight, curved and polyline-based walls. Also, we consider multiple connection types in a novel reasoning framework that decides which operations are best fit to reconstruct the topology of the walls. The geometry and topology produced by our method is directly usable by BIM processes as it is structured conform the IFC data structure. The experimental results conducted on the Stanford 2D-3D-Semantics dataset (2D-3D-S) show that the proposed method is a promising framework to reconstruct complex multi-story wall elements in an unsupervised manner.


Author(s):  
Kieu-Trang Pham ◽  
Duc-Nghia Vu ◽  
Phuc Le Hieu Hong ◽  
Chansik Park

Temporary safety facilities (TSFs) are an essential support system providing necessary protection to workers during construction activities, which are targeted towards preventing the occurrence of incidents and accidents at the construction site; however, the schedule and location of installation and demolition of TSFs continue to rely on labor experience, and are often omitted from formal drawings or documents. This results in thousands of accidents in the construction industry, especially in construction small and medium-sized enterprises (SMEs) because of their several limiting factors; therefore, this study proposes automatic workspace planning for TSFs based on construction activities, which is a systematized approach for construction SMEs to practice occupational health and safety (OHS). By using building information modeling (BIM) and add-in algorithm, safety facilities can be simulated and visualized to integrate into the designated workspace. The developed system was implemented utilizing 4D-BIM for TSFs installation and validated with a case study on a residential building project. The result revealed that the visualized TSF produces a better understanding of safety measures with regard to project schedule. Additionally, TSFs workspace planning provides an affordable approach that motivates safety practices among the SMEs; consequently, the effectiveness of construction safety measures and their management is enhanced appreciably.


Author(s):  
Bahadir V. Barbarosoglu ◽  
David Arditi

The construction industry has been criticized as an “old-school” industry, because of being a slow adopter of mobile technologies. This has changed recently. A 2014 survey of 1,048 participants found that 72% of construction practitioners have smartphones, and use smartphone applications for work purposes. While there are thousands of smartphone applications advertised as “construction apps”, the most popular smartphone applications offered by software providers to the construction industry are for field data collection, project management, bidding, building information modeling (BIM), accounting, customer relationship management, and estimating. This paper discusses the current state of smartphone applications available to the construction industry, and examines the apps’ functions. Due to the rapid growth in the smartphone applications market, new applications become available every day for use in different industries. Given the large number of choices, both companies and individuals in the construction industry must beware when selecting and purchasing smartphone applications. The business needs of the potential users and the expectations from the applications must be well identified, and the selection must be made accordingly. Properly selecting and deploying smartphone applications for construction-related tasks is expected to improve communication, enhance workflow with real time information, and increase productivity.


Sensors ◽  
2021 ◽  
Vol 21 (19) ◽  
pp. 6686
Author(s):  
Constanza Jofré-Briceño ◽  
Felipe Muñoz-La Muñoz-La Rivera ◽  
Edison Atencio ◽  
Rodrigo F. Herrera

The maintenance of port infrastructures presents difficulties due to their location: an aggressive environment or the variability of the waves can cause progressive deterioration. Maritime conditions make inspections difficult and, added to the lack of use of efficient tools for the management of assets, planning maintenance, important to ensure operability throughout the life cycle of port infrastructures, is generally not a priority. In view of these challenges, this research proposes a methodology for the creation of a port infrastructure asset management tool, generated based on the Design Science Research Method (DSRM), in line with Building Information Modeling (BIM) and digitization trends in the infrastructure sector. The proposal provides workflows and recommendations for the survey of port infrastructures from UAVs, the reconstruction of digital models by photogrammetry (due to scarce technical documentation), and the reconstruction of BIM models. Along with this, the bidirectional linking of traditional asset management spreadsheets with BIM models is proposed, by visual programming, allowing easy visualization of the status and maintenance requirements. This methodology was applied to a port infrastructure, where the methodology demonstrated the correct functionality of the asset management tool, which allows a constant up-dating of information regarding the structural state of the elements and the necessary maintenance activities.


2020 ◽  
Vol 14 (1) ◽  
pp. 98-110
Author(s):  
Mohammed A. Al-Hammadi ◽  
Wei Tian

Background: The Building Information Modeling (BIM) revolution can provide a solution for problems in the Saudi Arabian construction industry and improve its outcomes. Though this technology is increasingly and rapidly adopted in advanced countries, developing countries such as Saudi Arabia and the Gulf Cooperation Council countries (GCC) are still in the early stages of BIM adoption. Objective: This study investigates the current state of BIM technology adoption by exploring and analyzing the critical challenges and barriers to BIM technology utilization in the construction sectors. Methods: The quantitative approach is adopted via a survey questionnaire distributed to participants in the field of construction projects in the Architecture, Engineering, and Construction (AEC) industry. A total of 228 questionnaires are collected and analyzed using the statistical packaging for social science software. Results: Findings show that several significant barriers negatively affect the utilization of BIM. The major barriers to BIM adoption are related to the lack of demand, lack of experts, and poor awareness of BIM benefits, which have relative importance indexes of (RII = 89.910), (RII = 88.475), and (RII = 87.130), respectively. Meanwhile, unspecified data responsibilities, difficulty of learning BIM, lack of data sharing, and sufficient current technology constitute the lowest-ranking barriers with their relative importance indexes of (RII = 71.704), (RII = 70.807), (RII = 66.413), and (RII = 65.874), respectively. Conclusion: The findings of this study are highly significant and can become more helpful and interesting if further research can measure the methodologies to implement BIM technology in the Kingdom of Saudi Arabia.


2017 ◽  
pp. 133-150
Author(s):  
Antonio Jesús Guillén López ◽  
Adolfo Crespo Márquez ◽  
Jose A. Sanz ◽  
Khairy A. H. Kobbacy ◽  
Samir M. Shariff ◽  
...  

Buildings lifecycle management is an area of great interest. Due this, the R&D is being promoting worldwide looking for new effective maintenance tools and methodologies. In this scenario there are two development lines whose convergence can bring great advances in this area: Asset Management (AM) and Building Information Modeling (BIM). BIM models are transforming the way buildings are conceived, designed, constructed and managed. But current use of BIM concentrates on preplanning, design, construction and integrated project delivery of buildings and facilities, rather than maintenance and building operation management. Asset Management tools, including Facilities Management (FM), and application frameworks provide the approach and required elements to get more efficiency and efficacy in the building lifecycle management. This chapter introduces the application of AM for building and how the development of BIM models is the key element to allow its effective implementation.


2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Petra Bosch-Sijtsema ◽  
Christina Claeson-Jonsson ◽  
Mikael Johansson ◽  
Mattias Roupe

Purpose This paper aims to focus on 11 digital technologies (i.e. building information modeling, artificial intelligence and machine learning, 3D scanning, sensors, robots/automation, digital twin, virtual reality, 3D printing, drones, cloud computing and self-driving vehicles) that are portrayed in future trend reports and hype curves. The study concentrates on the current usage and knowledge of digital technologies in the Swedish architecture, engineering and construction (AEC) industry to gain an insight in the possible expectations and future trajectory of these digital technologies. Design/methodology/approach The study applies an abductive approach which is based on three different types of methods. These methods are a literature and document study which focused on 11 digital technologies, two workshops with industry (13 participants) and an online survey (N = 84). Findings The paper contributes to a current state analysis of the Swedish AEC industry concerning digital technologies and discusses the trajectory of these technologies for the AEC industry. The paper identifies hype factors, in which the knowledge of a digital technology is related to its usage. From the hype factors, four zones that show different stages of digital technology usage and maturity in the industry are induced. Originality/value The contribution of the paper is twofold. The paper shows insight into opportunities, the current barriers, use and knowledge of digital technologies for the different actors in the AEC industry. Furthermore, the study shows that the AEC industry is behind the traditional Gartner hype curves and contributes with defining four zones for digital technologies for the Swedish AEC industry: confusion, excitement, experimentation and integration.


2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Solomon Olusola Babatunde ◽  
Srinath Perera ◽  
Damilola Ekundayo ◽  
Damilola Sarah Adeleke

Purpose Building information modeling (BIM) is vital in the performance improvement of contracting firms. Thus, there is a need to stimulate its implementation in the construction sector with a view to meeting the competitive demands of the industry. However, there have been very few studies on BIM implementation among contracting firms in Nigeria. Hence, this study aims to examine the current BIM uptake among Nigerian contracting firms, assess the barriers to BIM implementation and examine the ways of improving BIM implementation within these contracting firms. Design/methodology/approach A questionnaire survey was conducted on contracting firms (comprising small-, medium- and large-sized firms) in Lagos, Nigeria. The obtained data were analyzed using both descriptive and inferential statistics. These included percentage, mean score, standard deviation, the Kruskal–Wallis test and factor analysis. Findings This study revealed the current state of BIM implementation among contracting firms in Nigeria in terms of their knowledge of BIM, their usage of BIM as well as the BIM software adopted. Furthermore, the study identified 25 barriers to BIM implementation in contracting firms and identified 15 ways to improve BIM implementation in contracting firms. The relative importance of both the identified barriers and the ways for improving BIM implementation was gauged among contracting firms comprising small-, medium- and large-sized firms. The result of the Kruskal–Wallis test revealed that, except for two (out of 25) identified barriers, and one (out of 15) identified ways of improving BIM implementation in contracting firms, there is no significant statistical difference in the perceptions of the three respondents’ groups. The result of the factor analysis categorized the identified 25 barriers into seven main factors. Practical implications This study provides empirical evidence on the barriers to BIM implementation and the ways of improving its implementation among contracting firms, thereby providing a better insight of the Nigerian construction industry’s BIM environment. Originality/value This study’s findings can positively inform the decisions of construction stakeholders to formulate strategies capable of improving BIM implementation in the construction industry at large.


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