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Mit steigenden Dämmstandards und höheren Komfortanforderungen der Nutzer gerät die Problematik der sommerlichen Überhitzung zunehmend in den Fokus. Um die Überhitzung möglichst gering zu halten, sind Maßnahmen und Lösungen zu entwickeln, die den potenziellen Kühlbedarf eines Gebäudes vermeiden sowie reduzieren. Im Rahmen des europäischen Forschungsprojektes BATIMASS wurden Techniken untersucht, die die sommerliche Raumtemperatur ohne zusätzliche Kühlung (passiv) oder aber mit energieeffizienter wasserbasierter Flächenkühlung (aktiv) reduzieren und die besonders für Gebäude in Stahl(leicht)bauweise geeignet sind. Dafür wurde die Methodik der thermisch äquivalenten Decke weiterentwickelt, um das thermische Verhalten von Profilblechdecken in Gebäuden für beide Lösungsansätze analysieren zu können. Darüber hinaus wurde der Einsatz von Phasenwechselmaterial (PCM) zur Steigerung der Speicherfähigkeit von leichten Decken mit besonders geringer thermischer Masse in Simulationen sowie im Labor untersucht und bewertet.
Optical flow estimation is known from Computer Vision where it is used to determine obstacle movements through a sequence of images following an assumption of brightness conservation. This paper presents the first study on application of the optical flow method to aerated stepped spillway flows. For this purpose, the flow is captured with a high-speed camera and illuminated with a synchronized LED light source. The flow velocities, obtained using a basic Horn–Schunck method for estimation of the optical flow coupled with an image pyramid multi-resolution approach for image filtering, compare well with data from intrusive conductivity probe measurements. Application of the Horn–Schunck method yields densely populated flow field data sets with velocity information for every pixel. It is found that the image pyramid approach has the most significant effect on the accuracy compared to other image processing techniques. However, the final results show some dependency on the pixel intensity distribution, with better accuracy found for grey values between 100 and 150.
Self-aeration is traditionally explained by the water turbulent boundary layer outer edge intersection with the free surface. This paper presents a discussion on the commonly accepted hypothesis behind the computation of the critical point of self-aeration in spillway flows and a new formulation is proposed based on the existence of a developing air flow over the free surface. Upstream of the inception point of self-aeration, some surface roughening has been often reported in previous studies which consequently implies some entrapped air transport and air–water flows coupling. Such air flow is proven in this study by presenting measured air velocities and computing the air boundary layer thickness for a 1V:2H smooth chute flow. Additionally, the growth rate of free surface waves has been analysed by means of Ultrasonic Sensors measurements, obtaining also the entrapped air concentration. High-speed camera imaging has been used for qualitative study of the flow perturbations.