No abstract

Building Information Modeling is the process and the technology transition from a traditional single sequential form to a modern multiple parallel form of data integration. BIM is the process of data sharing and distribution with the ability to employ the data via numerous applications for managing several multidimensional tasks and activities of AEC/OM (Architecture, Engineering, Construction/ Operation and Maintenance) throughout the building lifecycle. Indeed, employing BIM technology not only seems vital for small and medium-sized enterprises (SMEs) who are active in the construction sector of the building industry but also it is unavoidable for the firms who are seeking to increase their competitiveness and even their existence in the future era of the industry. The era of automation, robotics and 3D printing is coming faster due to the extraordinary developments and innovations in the digitalization and automation sectors, absence of desire productivity and efficiency in the building industry where BIM can efficiently provide the required information and accurate data to be used for model simulation and machine control in robotic construction.However, most of the active SME contractors are not aware of building information modeling, nor are they familiar with the BIM implementation framework and its key factors. Therefore, the main aim of this article is to provide realistic key factors for an initial BIM implementation framework that can help the SMEs, who are working in the construction sector of the building industry such as contractors, to understand BIM as modeling and employ it with less costs and more efficiency.

Analyses of hygrothermal conditions in low-energy houses is important because of their likely sensitivity for excessive moisture. The presented work deals with real-time measurement of temperature and relative humidity at multiple locations inside a low-energy house envelope. The measured data allows diagnosing approaches towards building design and understanding and evaluating the house performance. Suitability and accuracy of numerical computation was analysed. The Finnish mould growth model was used to monitor risk and extent of mould growth under measured and computed conditions. The measured conditions represent more favourable environment to avoid mould growth than the design values recommended by national and international guidelines. There was no mould growth indicated at any monitored points of the envelope. Monitoring the hygrothermal conditions provides valuable information about the performance of structural elements, building material and the house envelope and it helps to predict moisture related risks during the building’s service life.

No abstract

No abstract