In the last few years, particular focus has been devoted to the life cycle performance of fastening systems, which is reflected in increasing numbers of publications, standards and large-scale research efforts. Simultaneously, experience shows that in many cases, where fastening systems are implemented – such as industrial facilities – the design of fasteners is governed by fatigue loading under dynamic characteristics. In order to perform an adequate design and to specify the most efficient and appropriate fastening product, the engineer needs to access and process a broad range of technical and commercial information. Building information modelling (BIM), as a data management method in the construction industry, can supply such information and accommodate a comprehensive design and specification process. Furthermore, the application of BIM-based processes, such as the generation of a BIM-model, allows to use the important information for the construction as well as the life cycle management with different actions and time dependencies of the asset and its components. As a consequence, the BIM model offers the potential to correlate different data relevant for achieving the goals of the respective application, in order to ensure a more effective and correct design of the fastening. This paper demonstrates such a BIM-based design framework for an Industry 4.0 case, and in particular, the installation of a factory robot through post-installed anchors under fatigue-relevant loading in concrete.
This paper presents an advanced method for the characterization of the fatigue failure and corresponding load process of fastening systems in concrete. The required hysteresis model is based on mathematical and physical principals with a secondary approximation of the hysteresis loops using measurement data in accordance with conformance criteria. Thus conventional characteristic values of the hysteresis loop, displacements, stiffness's and energies could be determined. The developed predictive model uses four adjustment parameters (determined through regression analysis) and was applied to experimental fatigue tests of anchor channels in concrete. Investigations of these adjustment parameters revealed the potential to identify an indicator for the early prediction of experimental tests, in relation to specific changes and processes in the shape and area of hysteresis loops. These geometric properties effect modifications of the hysteresis centroid – being a sensitive characteristic of the loop form, is determined through numerical methods and analysed in correlation with the four adjustment parameters.
In the last years, particular focus has been devoted to the life cycle performance of fastening systems, which is reflected in increasing numbers of publications, standards, and large-scale research efforts. Simultaneously, experience shows that in many cases, where fastening systems are implementedsuch as industrial facilitiesthe design of fasteners is governed by fatigue loading under dynamic characteristics. In order to perform an adequate design and to specify the most efficient and appropriate fastening product, the engineer needs to access and process a broad range of technical and commercial information. Building Information Modeling (BIM), as a data management method in the construction industry, can supply such information and accommodate a comprehensive design and specification process. Furthermore, the application of BIM-based processes, such as the generation of a BIM-model, allows to use the important information for the construction as well as the life-cycle management with different actions and time dependencies of the asset and its components. As a consequence, the BIM model offers the potential to correlate different data relevant for achieving the goals of the respective application, in order to ensure a more effective and correct design of the fastening. This paper demonstrates such a BIM-based design framework for an Industry 4.0 case, and in particular, the installation of a factory robot through post-installed anchors under fatigue relevant loading in concrete.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.