Purpose – The use of Building Information Modelling (BIM) in the Netherlands is increasing. Studies show that BIM is mainly used in the lifecycle stages of initiation, development and realisation. ...Owners and operators are presumably yet to discover the added value of BIM for maintenance and information management within their organisations. The purpose of this paper is to investigate information management during the operations stage from the viewpoint of owners and determines the added value of BIM within this growing field of construction. Design/methodology/approach – This research is based on a literature review, explorative interviews and process modelling. In total, 21 semi-structured interviews were conducted among public real estate and infrastructure owners and operators, software companies, service providers and contractors. Findings – This paper provides empirical insights into the sources of inefficiency and ineffectiveness in the activities of Dutch semi-public and public clients. It finds that the current added value of BIM in the operations stage is marginal. The main reasons for this are a lack of alignment between the supply of and demand for information and the context-dependent role of information. Practical implications – The authors propose a structured approach that supports client organisations in establishing greater alignment between the supply of and demand for information, and a less context-dependent role for information during the operations stage. Originality/value – In contrast to previous studies, this paper offers a new perspective on BIM in the operations stage, a growing field of interest in practice and science.
BIM‐Anwendungen im Tunnelbau König, Markus; Rahm, Tobias; Nagel, Felix ...
Die Bautechnik,
April 2017, Volume:
94, Issue:
4
Journal Article
Die Anwendung von Building Information Modeling (BIM) im Infrastrukturbau soll bis zum Jahr 2020 in Deutschland eingeführt und anschließend etabliert werden. Dies schließt auch die Planung, die ...Herstellung und den Betrieb von Tunnelbauwerken ein. Im Rahmen von Forschungs‐ und Praxisprojekten wurden in den letzten Jahren bereits Erfahrungen zur Verwendung der BIM‐Methodik gesammelt. Es hat sich gezeigt, dass die ganzheitliche Einführung von BIM eine genaue Analyse der einzelnen Prozesse und eine projektspezifische Definition von sinnvollen Anwendungsfällen erfordert. Im Rahmen des Beitrags werden aktuelle Erfahrungen und einzelne BIM‐Anwendungsfälle im Tunnelbau erläutert. Es wird exemplarisch gezeigt, wie die geometrische und semantische Informationstiefe anwendungsfallorientiert festgelegt werden kann. Anschließend wird auf die Umsetzung einer gemeinsamen Datenumgebung sowie die Verknüpfung und den Austausch von Fachmodellen eingegangen. Hierbei haben sich insbesondere Ansätze auf Basis von Linked Data bzw. Multimodell‐Containern als besonders geeignet herausgestellt. Anhand von praxisnahen Beispielen werden verschiedene Anwendungsfälle und damit verbundene Ziele für den Einsatz von BIM präsentiert.
Building Information Modeling in tunneling – digital design and construction of tunneling projects
The application of Building Information Modeling (BIM) in the field of infrastructure engineering is to be introduced and subsequently established in Germany by 2020. This includes the planning, production and operation of tunnel structures. In research and real projects, experiences concerning the application of the BIM methodology were collected over the last couple of years. As it turned out, the holistic introduction of BIM requires a detailed analysis of processes and project specific definition of reasonable use cases.
Within the scope of this paper, current experiences and BIM use cases in the field of tunneling are discussed. The definition of a reasonable geometric and semantical level of detail for the specific use cases is exemplified. Following that, the implementation of a shared data interface, as well as the correlation and exchange of subject‐specific models are described. Hereby, approaches based on linked data or multi model containers have proven to be especially suitable. Based on practical examples, several use cases and the associated project goals for the application of BIM are discussed.
The buildings natural ageing along with the absence of planned maintenance actions and the effects of climate changes accelerate the building materials degradation. So, to extend the materials’ ...service life, the application of appropriate maintenance actions is imperative. This work aims to assess the building performance and to prioritize the maintenance actions employing Key Performance Indicators using Building Information Modelling-(BIM) as a supporting tool for Building Condition Assessment-(BCA) and maintenance management. To achieve these goals a methodology was proposed and applied to a case study involving 1) Building data collection; 2) Building Life Cycle Cost estimation, and 3) Automated calculation of Building Performance Indicator. This research application highlights the importance of BIM role in buildings' Facility Management, allowing the model's permanent update of information, in this case for BCA purposes. It also has high potential to prioritize the building maintenance actions, extending its materials service life, which contribute to attain a sustainable built environment.
•BIM-based Building Condition Assessment towards a sustainable FM practice.•Key Performance Indicators to monitor the buildings’ performance.•Key Performance Indicators within Building Information Modelling.•Maintenance actions prioritizing supported by BIM.•Maintenance actions graphic prioritization.
With the emergence of digital engineering in the construction context, significant opportunities have arisen for safer project execution. Several studies in recent years have described various ...applications of digital engineering to improve safety performance. However, what is missing is a systematic review that shows the direct links between the potential of these approaches and how they address the causes of construction accidents. This study is an attempt to fill this gap by conducting a realist systematic review of the literature published since 2012. The study draws from the Loughborough Construction Accident Causation (ConAC) model to create a comprehensive list of accident causes and relates these causes to the identified digital engineering potential, as reflected in the literature. This approach identifies the research gaps and neglected research domains, particularly six endemic problems, within the current digital engineering literature pertaining to safety, while introducing future areas associated with the identified gaps. This study provides useful insights to investigators who gain direction towards the top priorities for future research. In practical terms, the study collates and presents various areas of potential within digital engineering to address the causes of accidents on construction sites, providing a concise source of knowledge for practitioners.
•A systematic review to link digital engineering with causes of construction accidents•Research gaps identified using the Loughborough Construction Accident Causation model•Six endemic problems with the literature revealed and explained•Future areas associated with the identified gaps introduced
As architecture, engineering, and construction (AEC) practices become broadly mediated by computational methods, this article considers the modes of precarity implied for the architect adopting BIM ...as a medium of modelling and design. Situating the computational apparatus as a prosthesis to the BIM-architect, the article outlines the degree of agency configured for operators of BIM applications while they utilize the structures and methods of software pre-programmed by the application’s original developers. Exploring the structures of Autodesk Revit’s database via the Application Programming Interface (API), the paper interrogates the rationale and logic of building encoded by the program through a reading of its operative code in textual form. Situating an interplay between the Revit-architect and application, who programmes a building model while their intention and conceptualization is programmed in turn, the conditions of precarity installed for the Revit-architect as operator are considered as a result of their limited capacity to modify the programme’s operative methods. Drawing from a political history of technology to interrogate the distributed agency between the Revit-architect and technical apparatus, the article ultimately explores how the architect might adopt the phenomenal experience codified by the procedural operations of algorithms through alternative means. It concludes by drawing from autoethnographic practice and situated experiences at the site of the author’s studios, offering material from which to construct an alternative and differentiated notion of algorithm-aided modelling and design according to a nuanced attention to the depth of building.
In construction sites, safety issue has always been a threatening risk that must be taken seriously. In order to improve the safety management capability of construction site, this paper establishes ...a construction site fall hazard management system. This system takes computer vision instead of sensor systems as an information exchange bridge between the physical construction site and the virtual model. The main contribution of this paper is to propose a deep learning-based approach to achieve bi-directional information exchange from physical construction sites to digital models. To train the deep learning model, this paper builds a dataset containing approximately 4000 images from multiple sources to detect on-site safety risks. This paper also proposes a method for acquiring coordinates of workers and risk sources, then establishes an automated safety management framework based on the real-time locations of risk sources and workers. The effectiveness of this safety management framework is verified through a case study comparing the differences between safety officers and the automated system. In addition, the method proposed in this paper integrating building information modeling (BIM) with the real construction process, achieving bi-directional coordination between the digital level and the physical level, providing data basis for intelligent construction.
As architecture, engineering, and construction (AEC) practices become broadly mediated by computational methods, this article considers the modes of precarity implied for the architect adopting BIM ...as a medium of modelling and design. Situating the computational apparatus as a prosthesis to the BIM-architect, the article outlines the degree of agency configured for operators of BIM applications while they utilize the structures and methods of software pre-programmed by the application’s original developers. Exploring the structures of Autodesk Revit’s database via the Application Programming Interface (API), the paper interrogates the rationale and logic of building encoded by the program through a reading of its operative code in textual form. Situating an interplay between the Revit-architect and application, who programmes a building model while their intention and conceptualization is programmed in turn, the conditions of precarity installed for the Revit-architect as operator are considered as a result of their limited capacity to modify the programme’s operative methods. Drawing from a political history of technology to interrogate the distributed agency between the Revit-architect and technical apparatus, the article ultimately explores how the architect might adopt the phenomenal experience codified by the procedural operations of algorithms through alternative means. It concludes by drawing from autoethnographic practice and situated experiences at the site of the author’s studios, offering material from which to construct an alternative and differentiated notion of algorithm-aided modelling and design according to a nuanced attention to the depth of building.
The global demand for energy is significantly impacted by the consumption patterns within the building sector. As such, the importance of energy simulation and prediction is growing exponentially. ...This research leverages Building Information Modelling (BIM) methodologies, creating a synergy between traditional software methods and algorithm-driven approaches for comprehensive energy analysis. The study also proposes a method for monitoring select energy management factors, a step that could potentially pave the way for the integration of digital twins in energy management systems. The research is grounded in a case study of a newly constructed educational building in New South Wales, Australia. The digital physical model of the building was created using Autodesk Revit, a conventional software for BIM methodology. EnergyPlus, facilitated by OpenStudio, was employed for the traditional software-based energy analysis. The energy analysis output was then used to develop preliminary algorithm models using regression strategies in Python. In this regression analysis, the temperature and relative humidity of each energy unit were used as independent variables, with their energy consumption being the dependent variable. The sigmoid algorithm model, known for its accuracy and interpretability, was employed for advanced energy simulation. This was combined with sensor data for real-time energy prediction. A basic digital twin (DT) example was created to simulate the dynamic control of air conditioning and lighting, showcasing the adaptability and effectiveness of the system. The study also explores the potential of machine learning, specifically reinforcement learning, in optimizing energy management in response to environmental changes and usage conditions. Despite the current limitations, the study identifies potential future research directions. These include enhancing model accuracy and developing complex algorithms to boost energy efficiency and reduce costs.
Pakistan's as developing economy is in crisis due to rising energy and water demand. This study considers the Green Building concept as it accounts for optimum use of energy and water conservation. A ...building information modelling approach has been used to analyze the Green Building concepts. Parameters of Green Building are defined within Leadership in Energy and Environmental Design rating system. A parametric model of the case study building was developed on the Autodesk Revit platform based on original drawings and details. The same model was then subjected to change by provision of insulation measures. The energy use intensity of both models is calculated and analyzed. The results from the study suggest that if better measures and decision are taken in design stage, there is potential to conserve energy by approx. 28% and water by approx. 32% and subsequently can produce renewable energy by approx. 15%. For the validation of model and results, a comparative study was made on two other platforms, namely, Green Building Studio and Insight. The study further suggests a payback period of approx. 2.3 years after the cost and saving analysis. This integrated approach expedites the certification process thus saving significant time and resources.
Architectural, engineering, and construction (AEC) industry is currently in a transition process that deeply affects the long-established way of collaboration and building information modelling (BIM) ...is at the centre of this transition. Achieving the smooth integration of BIM in construction projects requires companies to spend great effort and resources. In that sense, it is crucial to generate a comprehensive list of critical success factors (CSFs) of BIM adoption. This study aims to systematically identify the CSFs of BIM implementation in the construction phase and evaluate their effectiveness on real projects for Turkish construction industry. Within this context, an extensive literature review was conducted and CSFs were identified. The number of times each factor had been cited in the literature was recorded as the frequency. A comprehensive framework with 6 components was utilized including drivers, inputs, enablers, barriers, benefits and impacts. The identified CSFs were assigned to relevant components based on their contents. In an attempt to distinguish the responsibilities of the industry, firms, and project teams; each factor was categorized into three levels of influences (industry-, firm-, and project-level). A case study was employed to examine the effectiveness of each factor in practice through conducting interviews with the practitioners of 18 different construction projects. The interviewees were asked to specify the effectiveness of each factor in a 1-5 Likert Scale based on their experience in that particular project. This study is expected to promote BIM implementation in the construction industry and inform the industry professionals about the most significant factors to focus on. Further research may utilize the framework to conduct similar studies in different countries.
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