Abstract. The article provides an analysis of hydraulic technical requirements based on model investigations of the artificial slalom courses designed for the Tokyo 2020 Olympic Games. A main, “Competition Course“ will be used for top level sporting events such as the Olympic Games, World Championships and/or World Cups, as well as commercial rafting and other recreational activities in Legacy. A second “Training Course“ will be used for pre-race warmup, as well as for post-Games recreation and training opportunities for all varieties of whitewater enthusiasts, including youth development and instructional programs. The main aim of the physical model investigations was to evaluate these courses designs from a hydraulic point of view - to validate technical performance objectives and to determine the optimal positioning for hydraulic features within the channels, with respect to design criteria which are: optimal water depth at prescribed flows, optimal current velocities, optimal Games-ready hydraulic configurations, safety criteria compliance, suitability for various Legacy uses (per IOC intent).
Abstract. With the increasing complexity of buildings and their facilities, integrating IoT infrastructure with digital building models has become essential. This integration allows facility managers to make informed decisions using spatially oriented sensor data, creating a digital twin of the building for more efficient resource management and problem-solving. This contribution reviews various case studies that demonstrate the potential of IoT-driven BIM models, showcasing approaches to optimize thermal comfort, HVAC performance, and building monitoring using GIS data and CFD simulations. To streamline these systems, the article introduces a proprietary classification system for IoT sensors and actors. Lastly, the paper presents a unique approach to integrating this classification system with BIM while managing spatial data, further enhancing the efficiency of facility management.
Abstract. Whitewater slalom, a thrilling and challenging water sport, requires carefully designed courses that provide a dynamic and engaging experience for athletes. Traditional methods of designing slalom courses in natural riverbeds have relied on manual measurements and estimations, which can be time-consuming, labour-intensive, and subject to human error. However, with the advent of photogrammetry, a cutting-edge technology that involves the use of aerial or ground-based cameras to capture and process 3D data from images, there is a new frontier in designing and analysing white water slalom courses.This article explores the usage of photogrammetry in the context of white-water slalom course design in natural riverbeds. It highlights how photogrammetry can revolutionize the course design process by providing accurate and detailed 3D models of the riverbed terrain, which can be used for virtual simulations, rapid prototyping, and precise analysis of different design options. The advantages of using photogrammetry include improved accuracy, efficiency, and cost-effectiveness in comparison to traditional methods.The article concludes by discussing the challenges and limitations of using photogrammetry for whitewater slalom course design, including issues related to data acquisition, processing, and accuracy. Despite these challenges, the potential of photogrammetry in revolutionizing the design and analysis of white-water slalom courses in natural riverbeds is immense, and it opens up exciting opportunities for further research, innovation, and advancement in the field of water sports.
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