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The Netherlands is on the way to change its existing skid resistance measuring method for its highway network from the Dutch RAW 72, a longitudinal force method, to the Sideway Force method. This method is described in the Technical Specification 15901-8 (SKM device) as well as 15901-6 (SCRIM device) and is in use in 9 European countries. The CEN TC 227 WG5 on Surface Characteristics is currently working on combining of these two technical Specifications into a European standard for Sideway-Force (SWF) measurement devices. The idea of this change in the Netherlands was perceived in 2013 and since then a lot of meetings have been held with the different Dutch decision makers as well as with countries which currently operate SWF devices. There was an intensive exchange of knowledge about these devices and their corresponding quality assurance systems, because the Netherlands wanted to incorporate and rely on an existing system of a neighbor country without losing their present level of quality. The Netherlands has therefore decided to incorporate the German SKM approach. The network monitoring with the new system will start in 2017. To ensure the quality of skid resistance measurements and further cooperation in this field, it has been decided to initiate an alliance between BASt and the Dutch road owner Rijkswaterstaat (RWS). This alliance will facilitate an exchange of research activities, calibration of the Dutch systems according to the existing German Standard as well as control measurements with a BASt-device on the Dutch network during the network monitoring. During 2016 also comparative measurements will be performed on a network level with the current Dutch device and with an SKM device to determine a conversion between the two and to be able to define new threshold values.
Mobility is a central requirement for economic growth, employment and participation of each individual in social life. This basic principle of the BMVI (Federal Ministry of Transport and Digital Infrastructure) requires an intact and functional infrastructure. In a context of increasing investments over the next few years, it will be relevant to develop a network related systematic procedure to be part of the structural maintenance of the federal highway network. In the planning of maintenance measures, the knowledge about the state of structural performance and its long-term development is of central importance. In the following, a method is presented which allows the mechanically and statistically reliable assessment and prognosis of structural performance of concrete pavements. In addition, the application and procedure are applied to a case study.
In Germany, expenditure for the construction of new and maintenance of existing federal highways is currently at a record level of EUR 8 billion per year. In connection with the planned infrastructure policy reforms it is necessary to further develop the planning tools for dimensioning and substance assessment of road structures in order to increase the efficiency of construction measures. The stress caused by traffic is of central importance here. Since unevenness in the road surface has a significant influence on the dynamic part of the wheel load, dynamic effects must be explicitly taken into account. As a result, increasing unevenness can lead to higher dynamic loads and, in the context of a corresponding number of wheel rollovers, to disproportionate damage to the road structure. In general, a shock factor is taken into account during dimensioning, which is to be considered as a function of vehicle suspension, load, speed and evenness. This approach is not sufficient for concrete road structures executed as slabs. In the normal case, only the periodically occurring individual event of a transverse contraction joint, superimposed by irreversible and/or temporary slab deformations, can lead to a significant increase in the dynamic wheel load. In addition, the existing slab deformations are tied to many boundary conditions and can therefore vary greatly in their characteristics. For the further development of methods for dimensioning and residual substance assessment with regard to their accuracy, a three-dimensional slab-specific view of the road surface is therefore appropriate. In this paper, a suitable measuring method for three-dimensional surface laser scanning and an algorithm for the classification of slab deformations are presented.
Knowledge of material properties is of great importance when developing new types of concrete and construction methods for road building, and for quality control and quality assurance. Physical material characteristics are likewise the basis for dimensioning and assessing the residual substance of concrete pavements. One relevant characteristic when examining thermally induced stress and deformation is the coefficient of thermal expansion (CTE) of concrete. This indicator, for example, significantly influences the longitudinal expansion of the pavement system as well as the degree of curling of slabs and joint movements. Extensive tests were conducted during the technical engineering assessment of the structural substance of concrete pavements in the German motorway network, including tests to determine the CTE of existing types of concrete. Because no standardised procedure currently exists in Germany for using tests to determine the CTE of concrete, the initial task was to develop a suitable test procedure from a road-building perspective, taking consideration of the national prevailing structural conditions. This article presents the results of selected status analyses, in which the CTE was determined for a total of 656 individual samples. The values calculated for the top and bottom drilled core layer are in the range 8.9 – 13.2 x 10-6/K, whereby the average CTE assumes a value of 10.7 x 10-6/K. The deviations of the CTEs from the bottom and top drilled core layer are in principle significantly below the limitation to a maximum of 2.50 x 10-6/K recommended in literature.
APT with the mobile load simulator MLS10 towards non-destructive pavement structural analysis
(2019)
In 2014 a research program has been started about non-destructive test methods to evaluate the structure of pavements. This task has been given to two research groups - first research group is led by RWTH Aachen University (Rheinisch-Westfälische Technische Hochschule) and the second by University of Siegen. This paper focuses on the initial findings of the running research program. The assessment of the existing infrastructure and its condition will be one of the main tasks during the next years in order to use the available budget for maintenance accurately and efficiently. Therefore, it is necessary to identify possible damages and examine their effects on the road construction. BASt (Federal Highway Research Institute) is using the Mobile Load Simulator MLS10 for accelerated pavement testing (APT) on different types of pavements. In addition to non-destructive test methods, sensors are applied to measure structural impacts. The overall objective of this research program is to develop a non-destructive test method that allows the calculation of the remaining life time and load cycles of pavements. To simulate realistic wheel loads in a short period of time the MLS10 on German full scale standard pavement constructions has been used. The first pavement test section was loaded with 3 x 10 high 6 50 kN wheel loads while the second, thinner pavement test section was loaded with 3 x 10 high 5 50 kN wheel loads. Both loads are equivalent to the pavement design load. Three different strategies have been used to analyze and monitor structural changes. The innovative measurements have been realized by the two research groups to collect data for their models. The RWTH Aachen collected data with twelve geophones aligned in a row parallel to the wheel path. The geophones measure the entire vertical deflection basin of the pavement surface that exists due to the passing real truck wheels. These measurements were done for different truck speeds and at different transverse distances to the wheel path. The University of Siegen collected data by using acceleration sensors on the surface of the road construction. After recording the data they were integrated into displacement signals and evaluated. Additionally to those measurements BASt used conventional equipment to monitor the pavement structure and surface characteristics. The measurements and evaluation tools used for the innovation program have a high potential to validate APT programs in the future. Based on this research it is possible to start further research activities to push the non-destructive evaluation of pavements structures - not only in APT - into an improved direction.
The aging structure as well as the considerable increase of heavy-traffic load on Germany's motorways and trunk roads encourages the use of innovative, sound and reliable methods for the structural assessment on network level as well as on project level. Essential elements for this are data, which allow a reliable assessment. For a holistic approach to structural pavement assessment performance orientated measurements will be necessary. In combination with functional parameters as well as write-down models, strategically motivated decision making processes will be useful combined with technically motivated decision processes. For the application at the network level, the available methods for performance orientated measurements are still challenging, as they are based either on testing drill-cores or on non traffic speed methods. In recent years significant innovation steps have been made to bring traffic speed bearing capacity measurements and methods for evaluating pavement structures on the road. The paper summarizes the actual assessment procedures in Germany as well as the ongoing work on the development and implementation of new methods and techniques.
Urban runoff is known to transport a significant pollutant load consisting of e.g. heavy metals, salts and hydrocarbons. Interactions between solid and dissolved compounds, proper understanding of particle size distribution, dissolved pollutant fractions and seasonal variations is crucial for the selection and development of appropriate road runoff treatment devices. Road runoff at an arterial road in Augsburg, Germany, has been studied for 3.5 years. A strong seasonal variation was observed, with increased heavy metal concentrations with doubled and tripled median concentrations for heavy metals during the cold season. Correlation analysis showed that de-icing salt is not the only factor responsible for increased pollutant concentrations in winter. During the cold period, the fraction of dissolved metals was lower compared to the warm season. In road dust, the highest metal concentrations were measured for fine particles. Metals in road runoff were found to show a significant correlation to fine particles SS63 (<63 μm). Therefore, it is debatable whether treatment devices only implementing sedimentation processes provide sufficient removal rates.
Road authorities, freight, and logistic industries face a multitude of challenges in a world changing at an ever growing pace. While globalization, changes in technology, demography, and traffic, for instance, have received much attention over the bygone decades, climate change has not been treated with equal care until recently. However, since it has been recognized that climate change jeopardizes many business areas in transport, freight, and logistics, research programs investigating future threats have been initiated. One of these programs is the Conference of European Directors of Roads (CEDR) Transnational Research Programme (TRP), which emerged about a decade ago from a cooperation between European National Road Authorities and the EU. This paper presents findings of a CEDR project called CliPDaR, which has been designed to answer questions from road authorities concerning climate-driven future threats to transport infrastructure. Pertaining results are based on two potential future socio-economic pathways of mankind (one strongly economically oriented "A2" and one more balanced scenario "A1B"), which are used to drive global climate models (GCMs) producing global and continental scale climate change projections. In order to achieve climate change projections, which are valid on regional scales, GCM projections are downscaled by regional climate models. Results shown here originate from research questions raised by European Road Authorities. They refer to future occurrence frequencies of severely cold winter seasons in Fennoscandia, to particularly hot summer seasons in the Iberian Peninsula and to changes in extreme weather phenomena triggering landslides and rutting in Central Europe. Future occurrence frequencies of extreme winter and summer conditions are investigated by empirical orthogonal function analyses of GCM projections driven with by A2 and A1B pathways. The analysis of future weather phenomena triggering landslides and rutting events requires downscaled climate change projections. Hence, corresponding results are based on an ensemble of RCM projections, which was available for the A1B scenario. All analyzed risks to transport infrastructure are found to increase over the decades ahead with accelerating pace towards the end of this century. Mean Fennoscandian winter temperatures by the end of this century may match conditions of rather warm winter season experienced in the past and particularly warm future winter temperatures have not been observed so far. This applies in an even more pronounced manner to summer seasons in the Iberian Peninsula. Occurrence frequencies of extreme climate phenomena triggering landslides and rutting events in Central Europe are also projected to rise. Results show spatially differentiated patterns and indicate accelerated rates of increases.
Road condition acquisition and assessment are the key to guarantee their permanent availability. In order to maintain a country's whole road network, millions of high-resolution images have to be analyzed annually. Currently, this requires cost and time excessive manual labor. We aim to automate this process to a high degree by applying deep neural networks. Such networks need a lot of data to be trained successfully, which are not publicly available at the moment. In this paper, we present the GAPs dataset, which is the first freely available pavement distress dataset of a size, large enough to train high-performing deep neural networks. It provides high quality images, recorded by a standardized process fulfilling German federal regulations, and detailed distress annotations. For the first time, this enables a fair comparison of research in this field. Furthermore, we present a first evaluation of the state of the art in pavement distress detection and an analysis of the effectiveness of state of the art regularization techniques on this dataset.
The road transport infrastructure is facing many challenges and the subsequent adaptation of the infrastructure is of utmost concern. These challenges are as follows: globalization, sustainability, technological and demographic change, an increase in goods transport and climate change. Various climate projections predict changing climatic parameters such as temperature, precipitation and wind speed for Germany. This could have severe impacts on road transport infrastructure as well as road traffic itself. At the Federal Highway Research Institute (Bundesanstalt für Straßenwesen), a strategy was developed to adapt roads and engineering structures to the impacts of climate change. The strategy "Anpassung der Straßenverkehrsinfrastruktur an den Klimawandel /Adaptation of road traffic infrastructure to climate change (AdSVIS)" currently comprises about 15 projects. Adaptation measures are to be developed for the identified risk areas and consequently their effectiveness has to be assessed.