TL;DR: The IJkdijk project as mentioned in this paper is an unique Dutch facility where full-scale levees are built and brought to failure with two explicit goals: to increase the knowledge on levee behaviour and to develop and test new sensor technologies for flood early warning systems under field conditions.
Abstract: The IJkdijk (Dutch for ‘calibration levee’) is an unique Dutch facility where full scale levees are built and brought to failure with two explicit goals: to increase the knowledge on levee behaviour and to develop and test new sensor technologies for flood early warning systems under field conditions. In 2009 four experiments have been carried out, aiming at failure caused by underseepage erosion (piping). Several innovative sensor technologies have been tested during these experiments. In this article the use of fibre optics is evaluated. To ensure a proper calibration of these experimental measurements, an extensive reference monitoring program has been carried out employing proven technology. The process of seepage erosion resulted in a huge amount of advanced sensor information. The results and predictive values of the measurements are analysed, compared and evaluated. INTRODUCTION The IJkdijk (pronounced as ‘Ikedike’ and Dutch for ‘calibration levee’) is an initiative where knowledge on levees and sensor technology comes together. As part of the IJkdijk program, in Booneschans, the Netherlands, levees are built at full scale and brought to failure with two explicit goals: to increase the knowledge on levee behaviour and to develop and test new sensor technologies for flood early warning systems under field conditions. This should increase both the quality of the levee inspection process and the safety assessment of levees. The final goal is to develop a toolbox to respond to flood threats timely with appropriate measures. The IJkdijk project functions as an open innovation platform for testing sensor techniques and to improve dike technology, providing benchmarking to all contributors. By conducting experiments in a controlled environment and under pre-determined conditions, knowledge about the failure mechanisms of levees can be improved and the value of new technologies can be demonstrated. At present, more than forty companies and institutions from five different countries cooperate in this initiative. The full-scale piping tests were performed at the location of the IJkdijk in the Northeast of the Netherlands. Two large basins were created (size 30x15m), each filled with a different type of sand, having a d50 of 150 m and 210 m respectively. These sands are denoted as ‘fine sand’ and ‘coarse sand’ in this paper. A clay levee with a height of 3.5m and slopes of 1:2 was built on top of the sand by densification of smaller clay lumps. After construction a levee with a 15 m seepage length was obtained, see Figure 1. At the downstream side, a weir has been created to keep the downstream water level at a constant level (approx 0.15m above the sand layer). At the upstream side, the water level could be raised to a level of 3 m. A total of four tests has been carried out: 1. Fine sand, with reference monitoring and little disturbing innovative monitoring techniques; 2. Coarse sand, with reference monitoring techniques only; 3. Fine sand, with reference monitoring techniques only; 4. Coarse sand, with reference monitoring and little and medium disturbing innovative monitoring techniques. In this paper results from the first experiment are presented. Figure 1. Cross-section and longitudinal section of the full-scale tests. The innovative sensor technologies which have been tested during these experiments comprised deformations, vibrations and temperature measurements by glass and plastic fibre optics, dynamic imaging by acoustics, waterleakage from self potential, deformation and well location with infrared cameras, and pore pressure, tilt and temperature from transducers integrated with MEMS technology. In this article the glass fibre optics measurements are evaluated against visual observations and pore pressure measurements from ‘traditional’ vibrating wire piezometers, laid in a dense grid at the interface of the levee and the sand layer. PIPING Piping, the process of retrograde erosion in sandy layers underneath clay levees, is considered one of the most dominant failure mechanisms of levees in the Netherlands (Havinga and Kok, 2005). The process, visualised in Figure 2, starts with heave and cracking of the soft soil top layer at the land side of the levee, caused by high water pressures which are easily transferred through the permeable sand layer. The cracks in the top soft soil layer allow for seepage. In case the water level difference between river and land side (the hydraulic head) is large enough, sand grains may be transported along with the water flow, thereby creating a pipe underneath the levee. Continued erosion may finally lead to instability and failure of the levee. Several models and empirical relations are available to predict the occurrence of retrograde piping, of which the most well-known are the empirical rule of Bligh (1910) and the model of Sellmeijer (1988), of which the latter describes the process in most detail. However, in a recently performed safety assessment of Dutch levees using the model of Sellmeijer, a discrepancy emerged between calculation results and the opinion of levee managers. Scepticism existed on whether piping would actually result in failure of the levee and the validity of the model was questioned. A large research program was started to validate and possibly improve the model. This program and its results are more extensively described in Van Beek & Knoeff (2009) and Van Beek et al. (2010). a) Heave e) Progressive erosion b) Seepage f) Instability of the levee c) Pipe-formation g) Breakthrough
TL;DR: A robust approach for real-time levee condition monitoring based on combination of data-driven methods (one-side classification) and finite element analysis that has detected anomalies and predicted levee failures several days before the actual collapse.
Abstract: We developed a robust approach for real-time levee condition monitoring based on combination of data-driven methods (one-side classification) and finite element analysis. It was implemented within a flood early warning system and validated on a series of full-scale levee failure experiments organised by the IJkdijk consortium in August-September 2012 in the Netherlands. Our approach has detected anomalies and predicted levee failures several days before the actual collapse. This approach was used in the UrbanFlood decision support system for routine levee quality assessment and for critical situations of a potential levee breach and inundation. In case of emergency, the system generates an alarm, warns dike managers and city authorities, and launches advanced urgent simulations of levee stability and flood dynamics, thus helping to make informed decisions on preventive measures, to evaluate the risks and to alleviate adverse effects of a flood.
TL;DR: In this paper, the FastGBSAR, a radar sensor for deformation monitoring of natural elements and man-made structures, has been used as part of the All-In-One/Sensor Validation Test, in the framework of the Ijkdijk foundation research and development program.
Abstract: Information about structural movements or terrain activities is more and more affecting construction and geotechnical engineers' tasks and ultimately decision makers' choices. A continuous monitoring of critical environments is often needed, as for instance when supervising dikes, dams, towers, landslides, glaciers and unstable slopes in open pit mines. MetaSensing introduces the FastGBSAR, a novel radar sensor for deformation monitoring of natural elements and man-made structures. In August 2012, the sensor has been operated as part of the All-In-One/Sensor Validation Test, in the framework of the Ijkdijk foundation research and development program. This article describes the performed test and the achieved results.
TL;DR: In this article, the experimental slope failure of a full-scale earthen dyke (levee) in Booneschans (Groningen, the Netherlands) was analyzed.
Abstract: The paper analyses the experimental slope failure of a full-scale earthen dyke (levee) in Booneschans (Groningen, the Netherlands). The goals of the experiment were to develop efficient dyke-monitoring systems predicting various modes of failure well in advance of onset and to test the ability of numerical geotechnical models to predict the mode of failure and the time of collapse. Prior to the experiments, a special competition for the best prediction for all three planned tests had been announced. Several commercial corporations and scientific research organisations modelling dykes participated in the competition; the authors of this paper provided the best prediction for the macro-instability experiment, according to the decision of jury. The IJkDijk macro-instability test prediction has
become the ultimate validation of the Virtual Dike simulation module, which is a functional part of the UrbanFlood early warning system for flood protection. Regarding sensor recordings, tilt measurements offered the simplest method of detecting the onset of slope failure. The early signs of progressing local instabilities in the dyke were registered by tilt sensors more than 4 d before the global collapse – a time that is sufficient for the dyke maintenance service to take necessary steps to reinforce the slope.
TL;DR: The IJkdijk is a test facility for dike monitoring systems in the Netherlands as mentioned in this paper, which is used for proof-of-concept tests for new technologies for inspection and also for studying geophysical processes within dikes.
Abstract: The IJkdijk is a test facility for dike monitoring systems in the Netherlands. It is used for proof of concept tests for new technologies for dike inspection and also for studying geophysical processes within dikes. TNO, as one of the partners in the IJkdijk foundation, uses it as a so called “field lab” for the TNO research program Intelligent Sensor Networks. A number of projects within this research program use the IJkdijk as a test case for the practical applicability of their results (visualization techniques, control rooms). For this reason the focus of this chapter is rather on practical applicability of technology than on scientific results. The chapter describes the development of the IJkdijk, the setup of the first experiment as well as the visualization of, and the interaction with the data during normal operation and in crisis situations