China
Africa
Explore chapters and articles related to this topic
Using computer simulations in building information modeling
Published in Mohamad Al Ali, Peter Platko, Advances and Trends in Engineering Sciences and Technologies III, 2019
BIM—Building Information Modeling is a current trend that shifts the construction industry into the sphere of digitization, cooperation and innovative solutions. The term ‘construction 4.0’ was coined from the industry 4.0 concept, which is regarded as the 4. Industrial revolution. For many years the quiet waters of the construction industry have been stirred by the coming of the construction 4.0. concept. The BIM brings a new look at the construction industry through the entire life cycle of the construction, from its planning stage through the design, implementation and operation to its demolition/reconstruction. The BIM concept is based on a 3D model and data that corresponds with the actual state of the building. Information is important for all phases of the life cycle of buildings and can now be of greater utility value than the 3D model itself. In this regard, the BIM can be interpreted as the Building Information Management. (Kuda, F., Beránková, E., Soukup, P. 2012).
Conclusion
Published in Weisheng Lu, Chi Cheung Lai, Tung Tse, BIM and Big Data for Construction Cost Management, 2018
Weisheng Lu, Chi Cheung Lai, Tung Tse
With that digital presentation, BIM’s great advantage is its potential to allow VDC optimising the process of developing a building and the form and performance of that building from occupancy to the end of its lifecycle. Using BIM, persisting problems of the global AEC industry, such as low productivity, poor quality, cost overrun, and excessive material waste, can be possibly alleviated or solved. This book reviewed the main thrusts of BIM as advocated in the literature. BIM allows multiple parties to work simultaneously within one model in facilitating team communication, faster design output and greater adaptability to changing site conditions, and a single repository for which to accumulate and visualise building and operations data, all of which leads to more inclusive and better-quality design. Architects and engineers can draw on embedded geometric, material, and price data to model faster. Construction managers can work off a living design plan, as well as contribute to it. Full stakeholder participation also translates to more correct equipment and logistics and supply chain. BIM can be used to enhance construction productivity, detect design errors and clashes, improve interoperability and communication, and reduce the fragmentation and discontinuity. BIM is even advocated as the disruptive development that it will bring a paradigmatic change to the global AEC industry.
Contract obligations and award criteria in public tenders for the case study of ANAS BIM implementation
Published in Jan Karlshøj, Raimar Scherer, eWork and eBusiness in Architecture, Engineering and Construction, 2018
F. Semeraro, N. Rapetti, A. Osello
BIM is an acronym for Building Information Modelling. In different times, different definitions were given by various authors and organizations, each of these pointing out slightly different aspects of it. According to Succar (2009), Building Information Modeling (BIM) can be defined as a set of interacting policies, processes and technologies generating a methodology to manage project information throughout the overall life-cycle. In the horizontal world of infrastructure construction, BIM is contemplated from few years compared to buildings where it represents a methodology in use from several years. But the same BIM features for vertical construction hold equally strong benefits to horizontal infrastructure construction, and the industry has begun to take notice (McGHC, 2012).
Innovation strategy or policy pressure? The motivations of BIM adoption in China’s AEC enterprises
Published in Journal of Asian Architecture and Building Engineering, 2022
Zhimin Wang, Zixiao Liu, Jin Liu
From corporation management perspectives, BIM implementation enables more efficient communication and collaboration within the organization and with external stakeholders (Lindblad 2013; Chan, Olawumi, and Ho 2019). Thus, researchers have demonstrated that BIM adoption in construction industry is related to firms’ features such as availability of qualified staff (Ozorhon and Karahan 2017), inter-firm relationship network structure, and organizational competitiveness (Cao et al. 2018), cultural readiness and innovation strategic initiatives (Abbasnejad et al. 2020). Especially, Son, Lee, and Kim (2015) pointed out that top managers’ awareness, attitudes, and support were critical factors affecting companies’ intention to use BIM. Thus, a strategic approach at the organizational level of BIM adoption and implementation is preferred and suggested (Poirier, Staub-French, and Forgues 2015). Yet, high initial investment, costs and time required for BIM training, and low return on investment also hinder the intention of BIM usage (Tan et al. 2019; Hosseini et al. 2016), especially in small and medium AEC enterprises (Makabate Choeu et al. 2021).
Exploring the environmental influence on BIM adoption for refurbishment project using structural equation modelling
Published in Architectural Engineering and Design Management, 2020
Anthony Okakpu, Ali GhaffarianHoseini, John Tookey, Jarrod Haar, Amirhosein Ghaffarianhoseini
The international Standard defines BIM as ‘shared digital representation of physical and functional characteristics of any built object which forms a reliable basis for decisions’ (ISO Standard, 2010). BIM is also a construction management tool for managing engineering problems that involves design, energy efficiency analysis, maintenance, documentation, and delivery for all different phases of project life cycle (Venkrbec et al., 2018). It manages this through information database coupled with object-based parametric modelling Gerrard et al. (2010). Recently, BIM has captured the attention of the construction sector due to its widely recognised benefits for building projects (Bryde, Broquetas, & Volm, 2013; Eastman et al., 2008), yet the use of BIM for refurbishment projects is just emerging (Ghaffarianhoseini et al., 2016). Refurbishment project can be carried out on existing building when it involves change in use, change of circumstances, subjective features of the decision maker and even optimisation of economic factors by improving energy efficiency (Aikivuori, 1996). Therefore, the multipurpose complex buildings in tertiary institutions can benefit from such operation. Although, the refurbishment sector is expected to provide value for money for sustainable retrofits and energy conservation, its performance is limited by its inability to adopt new technology successfully to improve its workforce (Ilter & Ergen, 2015). This phenomenon is prevalent in New Zealand environment where a large number of construction industries’ BIM adoption level is at a pre-BIM maturity stage (Huber, 2012; Okakpu et al., 2018).
Towards data-driven sustainable design: decision support based on knowledge discovery in disparate building data
Published in Architectural Engineering and Design Management, 2019
Ekaterina Petrova, Pieter Pauwels, Kjeld Svidt, Rasmus Lund Jensen
In that relation, Building Information Modelling (BIM) (Eastman, Teicholz, Sacks, & Liston, 2011; Sacks, Eastman, Lee, & Teicholz, 2018) has already brought a profound change to the Architecture, Engineering and Construction (AEC) industry by allowing much more efficient integrated workflows. Open data standards and protocols, including Information Delivery Manuals (IDMs), Model View Definitions (MVDs), Industry Foundation Classes (IFC), etc. (buildingSMART, 2016) have served as catalysts towards increased collaboration between stakeholders. This is crucial for obtaining efficiency gains and successful fulfilling of performance targets related to sustainability in the building design domain. By definition, BIM allows integration of multidisciplinary information within a single coordinated building model and empowers collaborative practices (Zanni, Soetanto, & Ruikar, 2017).