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Concrete pavement surface textures are divided by means of their dimension into four categories: microtexture, macrotexture, megatexture and roughness. They influence the most important performance characteristics of road surfaces, such as friction (also referred to as “skid resistance”), tire/pavement noise, evenness and surface drainage. These properties are relevant for driving safety, comfort and environmental aspects. Up to now, research in Germany has focused on monitoring these characteristics by tire/pavement noise and skid resistance measurements. However, the topography of surface textures has not been sufficiently investigated and evaluated until now. The development and availability of high-performance, hand-held 3D scanning systems during the last years enable measurements of the microtexture and macrotexture of concrete pavement surfaces at short measuring times and high resolution.
This paper shows the ability of modern laser-based technology to record three-dimensional data of different concrete pavement surface textures in situ. For this purpose, a special measuring frame has been developed. The presented results were primarily obtained within the framework of a research project commissioned by the German Federal Highway Research Institute (BASt) and processed by the Federal Institute for Materials Research and Testing. Various concrete pavement surface textures by means of diamond grinding and hybrid of diamond grinding and grooving were investigated in situ. In addition, exposed aggregate concretes (EAC), which were introduced as a standard type of concrete for motorway pavements in Germany in 2006, have been analyzed. Based on the gathered 3D data, evaluation routines for qualitative and quantitative analysis have been developed and applied. The aim was to derive the statistical parameters such as the relative and cumulative frequency distribution of the profile depth as well as the roughness coefficient for diamond ground pavements and EAC. Also, the “mean profile depth” (MPD) as a common texture-related parameter was determined.
To ensure a high operational reliability of offshore wind turbines (OWEC) with economically acceptable repair and maintenance efforts, comprehensive diagnosis and supervision concepts are required. Automatic monitoring Systems will be an essential part of such concepts. Because of the fact, that during Operation there will be static and dynamic interaction between the components ‘structure’, ‘machinery’ and ‘blades’ it is necessary to develop the monitoring techniques in an overall concept. These monitoring Systems are supposed to be applied for the design and testing as well as for the Operation and maintenance phases. The knowledge of the dynamic behavior of wind turbines is important both for the design and for a safe Operation. The available monitoring data from a period of three years, allow first conclusions on the long-term Operation of such Systems in terms of quality requirements to the instrumentation to the structure and the rotor blades
Following a modular concept an integrated monitoring system has been developed that includes all components of offshore wind turbines (OWEC). Using commercially available measurement equipments of the involved partners this system was tested at the wind turbine Multibrid M5000_2 in Bremerhaven. Additional results of the research project are findings on the use of embedded FBG sensors in rotor blades that allow condition assessments based on local information. Newly developed algorithms for the identification of external loads and damage characteristics of the structural components have been tested in operation. Developed methods for monitoring based structural assessment were used, which will be suitable to optimize structural maintenance works.