Everything we build we do on or in the natural ground. This has evolved over 10,000 years of geological history and varies greatly. Soil cannot be mapped accurately by the metre and therefore there is always a degree of uncertainty about what is in the subsurface. Using probabilistics, we can deal with this rationally.
TU Delft research (2010 - 2017)
- Reliability of long heterogeneous slopes in 3D (2017)
- Reducing piping uncertainties: Bayesian decision approach (2014)
- Reliability of Quay Walls (2012)
- Reliability-based analysis of river dikes during flood waves (2012)
- Safety standards of flood defences (2011)
- Calibration of piping assessment models (2011)
- Reliability of Sheet Pile Walls (2011)
- Re-assessing reliability based on survived loads (2011)
- Reliability tools, an approach for river dike analysis (2010)
Stochastic subsurface schematization (2016)
The subsurface is by nature highly variable. This makes it impractical to map the subsurface accurately. Geological Insight provides a systematics that responsibly incorporates variability into safety assessments of flood defences: stochastic subsurface schematization. The following two publications describe this systematics and its further development.
- Subsurfacescenarios for WBI 2017: opportunities and application (Geotechnical Engineering Journal, 2016)
- Deriving scenarios for stochastic characterisation of the subsurface (2011). Source: Meindert Van, Evert den Haan & Jurjen van Deen (eds) (2011). A feeling for soil and water, A tribute to Prof Frans Barends. Deltares Select Series, Volume 7, Chapter 2.
Geo-Impulse: reliable subsurface model (2014)
Within the Geo-Impulse project 'Reliable Subsurface Model', knowledge and tools are being developed to structurally deploy point information, geological knowledge, geophysical techniques, remote sensing and inverse modelling to arrive at a subsurface model with predictable reliability.
Dike Strength Analysis Module (2013)
DAM (Dike Strength Analysis Module) is a platform that can automatically perform strength calculations of large dike strains. DAM can calculate the failure probability of a dike without the need for soil testing. DAM was developed by Deltares with and for STOWA and a large number of water boards.
Stochastic subsurface schematics (2016)
The subsurface is by nature highly variable. This makes it impractical to map the subsurface accurately. Geological Insight provides a system that responsibly incorporates variability into safety assessments of flood defences: stochastic subsurface schematisation. The following two publications describe this systematics and its further development.
- Subsurfacescenarios for WBI 2017: opportunities and application (Geotechnical Engineering Journal, 2016)
Geo-Impuls: reliable subsurface model (2014)
Within the Geo-Impulse project 'Reliable Subsurface Model', knowledge and tools are being developed to deploy point information, geological knowledge, geophysical techniques, remote sensing and inverse modelling in a structured way to achieve a subsurface model with predictable reliability.
Dike Strength Analysis Module (2013)
DAM (Dike Strength Analysis Module) is a platform that can automatically perform strength calculations of large dike strains. DAM can calculate the failure probability of a dike without the need for soil testing. DAM was developed by Deltares with and for STOWA and a large number of water boards.
Related pages
Dike technology
Ground survey
Measurement and monitoring
Risk management
Hydraulic engineering
Research
Reliability of long heterogeneous slopes in 3D (2017)
On reducing piping uncertainties (2014)
Reliability of Quay Walls (2012)
Reliability-based analysis of river dikes during flood waves (2012)
Safety standards of flood defences (2011)
Calibration of piping assessment models (2011)
Reliability of Sheet Pile Walls (2011)
Reliability based on survived loads (2011)
Reliability-tools, an approach for river dike analysis (2010)

