The Impact of Building Information Modeling Design System on Traditional Urban Design Methods

Author(s):  
Xia Wei ◽  
Wojciech Bonenberg ◽  
Mo Zhou ◽  
Jinzhong Wang
2021 ◽  
Vol 13 (11) ◽  
pp. 5989
Author(s):  
Rania Wehbe ◽  
Isam Shahrour

This paper presents a comprehensive methodology for evaluating and improving the anti-Coronavirus (COVID-19) measures in higher education establishments. The methodology combines the use of: (1) Building Information Modeling (BIM) for the integration and control in a 3D graphic environment the anti-COVID-19 safety measures; (2) a questionnaire to collect the students’ commitment to safety measures and their suggestions to improve these measures; (3) data analysis to explore the impact of the students’ profiles on their commitment to safety measures. The proposed methodology is applied at the engineering school Polytech’Lille in the North of France. Results show that the BIM model provides valuable services to the administration by integrating the safety measures in a 3D environment and checking the compatibility of these measures and their improvement. The use of the questionnaire allows the administration to collect students’ feedback about their commitment to safety measures and their suggestions to improve these measures.


Materials ◽  
2021 ◽  
Vol 14 (13) ◽  
pp. 3456
Author(s):  
Young-Hwi Kim ◽  
Jin-Seok Choi ◽  
Tian-Feng Yuan ◽  
Young-Soo Yoon

It is important to consider establishing a shelter in place (SIP) using existing facilities to prepare for unpredictable and no-notice disasters. In this study, we evaluate the building-information-modeling (BIM)-based approach to simulate the strategic location of SIP and its strengthening method. BIM software was used to model a light rail station and analyze the elements of the facility that can affect the evacuation time to reach the SIP. The purpose of this study was to understand the effects of structural standards on the design of SIPs using a direct simulation. The differences between domestic and overseas standards were analyzed. An analysis was carried out to evaluate whether national specifications are satisfactory. As the proposed evacuation method is based on a rational human behavior analysis through a direct simulation, it was going to be a safer and faster route of evacuation in the case of physical terror attack situations for existing infrastructure, Furthermore, the SIP design is considered where reinforcement of the SIP structure is necessary. Three types of reinforcing were considered. Here, the use of high-strength, high-ductility concrete proved to be an effective method to improve the impact resistance of reinforced concrete walls and recommended for strengthening reinforced concrete members.


2013 ◽  
Vol 7 (1) ◽  
pp. 138-145 ◽  
Author(s):  
Constantinos A. Balaras ◽  
Simon Kontoyiannidis ◽  
Elena G. Dascalaki ◽  
Kaliopi G. Droutsa

Building Information Modeling (BIM) for optimizing the total lifecycle cost of buildings is a challenge even today. Inadequate software interoperability, high costs as a result of the fragmented nature of the building industry, lack of standardization, inconsistent technology adoption among stakeholders are just some of the obstacles that architects and engineers face. However, optimization requires a structured procedure that enables continuous changes in design variables and assessment on energy consumption. A holistic building design and construction are already introduced in Europe through the energy performance of buildings directive (EPBD). The requirements have been strengthened by the EPBD recast for achieving cost optimal building designs for the life cycle of the building, moving towards nearly zero energy buildings by the end of the decade. BIM and intelligent services could play a crucial role in these efforts with improved visualization and productivity due to easy retrieval of information, increased coordination of data and exchange of information, all leading to a reduced cost for the design of energy efficient buildings. An ongoing European research project aims to contribute to these needs by developing a Virtual Energy Laboratory that will support building energy performance simulations taking into account the stochastic nature of input parameters and processes. This will be supported by information communication technology features utilizing the necessary computational power through cloud computing. This paper presents an overview of the ongoing efforts and focuses on results for assessing the impact of different input weather and climate data that are pertinent in building load and energy performance calculations.


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