scholarly journals Generating NURBS cladding and structures with parametric programming and BIM

2020 ◽  
Vol 11 ◽  
pp. e020016
Author(s):  
Neander Furtado Silva ◽  
Lilian Maciel Furtado Silva ◽  
Ígor Lacroix

The process of designing and building curvilinear architectures is still challenging. The use of multiple applications with distinctive design paradigms are unlikely to disappear. The interoperability used here was not only the conventional one. It was also ‘live’, in ‘real time’, with two of the applications involved opened and running simultaneously. A design workflow based on the use of form-forming applications connected via parametric programming to building information modeling, BIM, was proposed. The main objective was to facilitate designing and building curvilinear architectures and their supporting structures using simultaneously two different design paradigms. The tools needed in our research can be summarized as follows: NURBS Lofting for surface creation, contouring for modular slicing and structural axis grid definition, sweeping along axes for surface creation of the curved beams of I profile and paneling for the subdivision of curved surfaces into planar fractions. Parametric programming was used to automate sweeping along axes to generating curved I-beams and paneling to subdivide the NURBS surfaces into planar fractions. To the best of our knowledge, our major contribution resides in defining a workflow and developing new algorithms for facilitating designing NURBS surfaces and corresponding supporting structures through ‘live’ interoperability among different applications.

2021 ◽  
Vol 2021 ◽  
pp. 1-12
Author(s):  
Qianlong Tang ◽  
Mingfeng Lei ◽  
Binbin Zhu ◽  
Limin Peng ◽  
Weimin Wu ◽  
...  

The problems faced by subway stations in the construction process are more complex than those by overground buildings. Therefore, the construction risk for such structures is highly unpredictable and the risk management is difficult. Building information modeling (BIM) technology has strong visualization, simulation, and integration characteristics that make it conducive to the development of a risk early warning system for underground engineering. According to the functional requirements of risk early warning for subway stations, a risk early warning system based on a BIM real-time construction model is designed in this study for a subway station construction. The operation process of the risk early warning system is established through the grey prediction method to propose the operation method of the early warning system. The early warning system is applied to the Xiangjiang New Town Station of Changsha Metro Line 4 in China to verify its feasibility.


Author(s):  
Khoa N. Le ◽  
Ivan W. H. Fung ◽  
Vivian W. Y. Tam ◽  
Leslie Yip ◽  
Eric W. M. Lee

Genetic algorithms (GAs) have found many applications in various fields such as physics, signal processing, artificial intelligence and recently construction engineering management. For a long time, GAs are usually criticized to be time-consuming, making it unpractical for real-time applications. This paper presents a new technique which can be used: (1) to automate construction activities, and (2) to improve building information modeling which has become an attractive research topic around the world. Different from the generic GA techniques employed in the literature, this paper proposes a new GA using hardware with field-programmable gate arrays. The proposed technique is shown to improve speed and lessen computational power. Hardware implementation of GA using static random access memory-based field-programmable gate arrays with synthesizable very hardware description language coding is introduced. Detailed analyses on the field-programmable gate arrays are given which show that it is suitable for real-time applications. As a result, GA is modified so that it can be implemented in series and parallel which can greatly improve computational hardware performance. Configuration of parallelization is available with a peripheral component interconnect interface, which further helps to form a fast optimization tool for real-time applications. The ultimate goal of this paper is thus to design an effective GA technique which can be employed to support building information modeling and to effectively automate critical processes in construction projects.


2021 ◽  
Vol 13 (7) ◽  
pp. 3930
Author(s):  
Abubaker Basheer Abdalwhab Altohami ◽  
Nuzul Azam Haron ◽  
Aidi Hizami Ales@Alias ◽  
Teik Hua Law

The importance of building information is highly attached to the ability of conventional storing to provide professional analysis. The Internet of Things (IoT) and smart devices offer a vast amount of live data stored in heterogeneous repositories, and hence the need for smart methodologies to facilitate IoT–BIM integration is very crucial. The first step to better integrating IoT and Building Information Modeling (BIM) can be performed by implementing the Service-Oriented-Architecture (SOA) to combining software and other services by replacing the sematic information that was failed to display elements of indoor conditions. The other development is to create link that able to update static models towards real-time models using SOA approach. The existing approach relies on one-way interaction; however, developing two-way communication to mimic human cognitive has become very crucial. The high-tech approach requires highly involving Cloud computations to better connect IoT devices throughout Internet infrastructure. This approach is based on the integration of Building Information Modeling (BIM) with real-time data from IoT devices aiming at improving construction and operational efficiencies and to provide high-fidelity BIM models for numerous applications. The paper discusses challenges, limitations, and barriers that face BIM–IoT integration and simultaneously solves interoperability issues and Cloud computing. The paper provides a comprehensive review that explores and identifies common emerging areas of application and common design patterns of the traditional BIM-IoT integration followed by devising better methodologies to integrate IoT in BIM.


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