Fire Risk in Relation to BIM

2014 ◽  
Vol 899 ◽  
pp. 552-555 ◽  
Author(s):  
Jan Fridrich ◽  
Karel Kubečka

Technological advances in the field of technical coordination and simulation provides a new method in construction (BIM, Building Information Modeling). These methods will enable us to implement a risk occurrence of fire and its spread already in preparation of the building itself. Next message informs about the possibilities and what procedures can be implemented alone fire safety solutions to building information model. His subsequent use in design practice and streamlining the entire process.

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Oludolapo Ibrahim Olanrewaju ◽  
Sunday Ajiboye Babarinde ◽  
Nicholas Chileshe ◽  
Malindu Sandanayake

Purpose The Nigerian construction industry, like in most emerging economies has been slow with technological advances such as building information modeling (BIM). More so, the application of BIM among Nigerian practitioners is rather limited to architects’ usage for schematic design and presentation of drawings. The purpose of this study is to enhance BIM’s uptake, this study explores the drivers for the implementation of BIM within the Nigerian construction industry. Design/methodology/approach An interpretivist epistemological design was adapted to extensively manually review and search the literature on BIM implementation drivers. Based on 14 drivers for BIM implementation drivers identified, a survey questionnaire was used to collect data from the Nigerian construction practitioners. The data obtained is then subjected to descriptive, inferential statistics and multivariate techniques such as factor analysis. Findings The study, through factor analysis, categorized the 14 drivers to BIM implementation into four principal factors. The factors are construction related-drivers; process digitalization and economic-related drivers; sustainability and efficiency-related drivers; and visualization and productivity-related drivers. Practical implications To effectively adopt BIM in the construction industry, it is necessary to identify the BIM implementing drivers, which can act as catalysts of change and, thus leading to sustained adoption of BIM. Therefore, the identified drivers and categorization of principal factors could provide managerial implications for better execution and adoption of BIM, as well as the creation of the required change for the BIM implementation. Originality/value The research provides insights into the implementation drivers of BIM in lesser studies in a developing country such as Nigeria. The study further contributes to this research sphere by using factor analysis to customize and contextualize the drivers that were previously identified.


2015 ◽  
Vol 59 ◽  
pp. 158-167 ◽  
Author(s):  
Shih-Hsu Wang ◽  
Wei-Chih Wang ◽  
Kun-Chi Wang ◽  
Shih-Yu Shih

2021 ◽  
Author(s):  
Angela Cristina De Hugo Silva ◽  
Metod Gaber ◽  
Matevž Dolenc

Building Information Modeling is an increasingly common process for managing the entire lifecycle of a building - from design and planning, through the construction phase, to operation and maintenance. The result of this process is a building information model with all the generated data and information about the construction process that can be used in a variety of different end-user scenarios. One such use of the model is in a number of different augmented reality applications. Augmented reality technology is being used to bridge the gap between the digital and real worlds and is rapidly becoming an essential part of modern building data modeling design workflows. The chapter provides an overview of building data modeling and the current state of the art in the use of augmented reality in various user scenarios of building data modeling and explores various challenges that need to be addressed for the adoption of augmented reality technology in architecture, engineering, and construction in general.


Author(s):  
Seunghwa Park ◽  
Inhan Kim

Today’s buildings are getting larger and more complex. As a result, the traditional method of manually checking the design of a building is no longer efficient since such a process is time-consuming and laborious. It is becoming increasingly important to establish and automate processes for checking the quality of buildings. By automatically checking whether buildings satisfy requirements, Building Information Modeling (BIM) allows for rapid decision-making and evaluation. In this context, the work presented here focuses on resolving building safety issues via a proposed BIM-based quality checking process. Through the use case studies, the efficiency and usability of the devised strategy is evaluated. This research can be beneficial in promoting the efficient use of BIM-based communication and collaboration among the project party concerned for improving safety management. In addition, the work presented here has the potential to expand research efforts in BIM-based quality checking processes.


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