Geobrain: Dutch Feasibility Database for Installing Sheet Pile Walls

In this paper it is shown how the knowledge embedded in case histories can be used to explicate some of the uncertainties contributing to the gap between theory and practice. With the help of computational intelligence techniques, collections of case histories in data-bases, as a type of collective memory of the geotechnical profession may be explored to turn this memory into collective brains in geo-technics: a GeoBrain. Regarding the scarcity of soil investigation data and the translation of the available data into a model, the ‘schematization factor’ has been introduced as a partial safety factor to account for the influence of data availability and the role of human expertise. Using a database of increasing size on the feasibility of installing sheet pile walls, the determination of optimal parameter values for prediction models is illustrated. It is shown that computational intelligence techniques like Bayesian Belief Networks and Genetic Algorithms can be very helpful to improve predictions of what is likely to happen in geotechnical practice

Lessons Learned from a Full-Scale Dyke Failure Test

A full-scale failure test has been performed on an old river dyke in the Netherlands, to determine its actual strength against failure due to the uplift mechanism and to validate the Van model for the stability analysis of dykes prone to uplift induced failure. The test has been a success and clearly showed the relevance and significance of the uplift mechanism. In combination with earlier verifications, the Van model was found to be suitable, which has already lead to significant reductions on dyke reinforcement projects. The large gap between the actual strength and the calculated strength was confirmed. This gap appeared to be partly necessary because of the large variation in the results of dyke stability analyses by different geotechnical consultants. For the near future, the test may serve as an important benchmark for the development of a more rationally based safety philosophy

Data for: Greening the dike revetment with historic sod transplantation technique in a Living Lab.

Data from an in situ experiment on a dike in Living Lab Hedwige Prosperpolder. In the experiment we applied a historic sod transplantation technique. We tested the erosion resistance of the adapted vegetated dike revetment after one growth season. Dataset contains measurements in sods plot S1, S2, S3, S4 and in reference plots R1-R4. In addition, two section were only milled (K1 and F). These sections are not described in the publication, however some data is available and thus included in this dataset. This dataset contains files from the following research steps: 1. Visual observation (vegetation) 2. Soil moisture content & Soil penetration resistance 3. Root indication (doorwortelling) 4. Sod pulling method (grastrek proef) 5. Wave impact test (golfklap proef) & Overflow test (overloop proef) The data is described in the following publication: Greening the dike revetment with historic sod transplantation technique in a Living Lab. Kim van den Hoven; Carla J. Grashof-Bokdam; Pieter A. Slim; Ludolph Wentholt; Patrik Peeters; Davy Depreiter; André R. Koelewijn; Marte M. Stoorvogel; Mario van den Berg; Carolien Kroeze; Jantsje M. van Loon-Steensm

Meta-analysis of genome-wide association for migraine in six population-based European cohorts

Stress-related psychiatric disorders across the life spa