RISA Sicherheitsanalysen

This paper presents a comprehensive exploration of the euPOLIS project's innovative approach to quantifying the impact of nature-based interventions on citizens health and well-being. The study leverages a sophisticated array of tools, including wearables, smartwatches, dedicated mobile applications, weather stations, and water IoT systems to systematically collect and analyze a diverse set of data. These tools enable the acquisition of real-time information on various physiological and environmental parameters, creating a rich dataset that forms the foundation for meaningful insights.

The creation of innovative tools, objects and artifacts that introduce abstract ideas in the real world is a necessary step for the evolution process and characterize the creative capacity of civilization. Sculpture is based on the available technology for its creation process and is strongly related to the level of technological sophistication of each era. This paper analyzes the evolution of basic sculpture techniques (carving, lost-wax casting and 3D scanning/printing), and their importance as a culture footprint. It also presents and evaluates the added creative capacities of each technological step and the different methods of 3D scanning/printing concerning sculpture. It is also an attempt to define the term “material poetics”, which is connected to sculpture artifacts. We conclude that 3D scanning/printing is an important sign of civilization, although artifacts lose a part of material poetics with additive manufacturing. Subsequently, there are various causes of the destruction of sculptures, leaving a hole in the history of art. Finally, this paper showcases the importance of 3D scanning/printing in salvaging cultural heritage, as it has radically altered the way we “backup” objects.

The implementation of structural health monitoring (SHM) for management and maintenance of critical transport infrastructures, such as bridges, dams or tunnels, is a widely established approach. Even though, SHM shows various technical limitations (e.g. relating to spatial capabilities of the sensors, high cost, repeatability or interpretation of the sensor measurements to support structural assessment and prediction of the infrastructure condition states). Furthermore, linking SHM with life cycle based methodologies such as life cycle costing (LCC) or life cycle assessment (LCA) is only recently discussed. The SENSKIN EC co-funded research project aims to overcome above mentioned challenges through development of a new sensor system and its integration within a Decision Support System (DSS) for proactive condition-based structural rehabilitation planning during the bridge life cycle. The DSS will include structural assessment models (exclusively based on sensor measurements for assessing the bridge condition and damage states of the main structural and a rehabilitation planning module (RPM) that will enable end-users to assess the life cycle economic and environmental implications of bridge rehabilitation options. Hereby, a tailored submodule for integrated life cycle costing (LCC) and life cycle assessment (LCA) assists, taking into account not only direct impacts of the rehabilitation solutions but also external effects caused by restricted traffic conditions (e.g. due to ongoing construction works). Thus, the SENSKIN project will contribute to a sustainable infrastructure. The following paper will sketch out the main scientific and functional structures of the developed DSS, with focus on the RPM and its LCA/LCC submodule for bridge rehabilitation planning.

Abstract External explosions can significantly contribute to risk of damage for industrial plants. External explosions may origin from other plants in the neighbourhood, which store and operate with explosive substances, or from transport of such substances on road, rail, or water. If deflagration is involved, ignition will not necessarily occur at the place of the accident, but a cloud of a combustible gas-air mixture may develop, which will ignite at some distance depending on wind velocity. A probabilistic model has been developed to calculate frequencies of damage based on numerical integration or on Monte Carlo simulation. Geographical information systems provide map material for sites, roads, rail and rivers on a computer. Data has been collected and applied for a nuclear power plant in Germany as an example. The method, however, can be used for any type of plant subject to external explosion hazards.