Changing climatic conditions present an emerging threat to geo-structures. Climatic scenarios for the Netherlands indicate rising temperatures and larger variations in the atmospheric water balance. Consequently, geo-structures will be subjected to greater annual pore pressure variations and unprecedented stress levels. A particular concern is the impact of these changing conditions on the geotechnical performance of regional dykes, which are composed of and founded on organic soft soil layers susceptible to degradation. Given that changes in weather patterns are already observable, investigation of current in-situ soil state variations can provide valuable insight into the geotechnical response under future intensified environmental conditions. This study analyses in-situ monitoring data from a shallow-slope dyke system in the Netherlands to assess the persistence of atmospheric-driven pore pressure fluctuations in the dyke body and foundation layers. By correlating local weather conditions with soil response, the study identifies atmospheric events that trigger temporary or permanent variations in soil state, providing a guidance to address the consequences of possible future climatic events, which may compromise the geotechnical performance of soft soil dykes.

A large part of the Dutch regional dyke network is classified as drought-susceptible given that both the dyke body and the foundation layers consist of soft organic soils. The erratic weather conditions over recent years, which included prolonged drought, new temperature records and intensified rainfall, are linked to an increased number of accidents related to dyke degradation. As global warming continues to exacerbate extreme weather, there is a growing concern on the impact of changing climatic conditions on this type of regional dykes. Poor understanding of climate induced soil degradation processes poses a serious challenge in the development of adaptation strategies. The challenges are caused by the large variety of interplaying factors, dynamic environmental actions and the complex description of coupled degradation processes with varying spatial-temporal scales. This study demonstrates the potential use of field monitoring to overcome some of these limitations. Field monitoring data on ten Dutch regional dyke sections, with varying geometry, stratigraphy and vegetation are presented. The data provide insight into changes in dyke hydraulic state as a function of atmospheric conditions and allow to infer possible climate induced soil physical degradation mechanisms depending on dyke characteristics. To fully evaluate the impact of degradation on the water protection system, ancillary monitoring data are required, able to quantify the mechanical implications of climate induced state variations. The design of dedicated monitoring set up on three selected dykes, which will serve as representative case studies for the development of geotechnical assessment methods, is eventually presented.

In the Observational method Ab Initio approach observational feedback is used to optimize a structural design to field conditions that are found to be uncertain in the design phase. As a deep excavation takes place, the supporting retaining wall deflections can be observed by inclinometers which serve as an extra source of information on the structure’s performance. Although the Observational method can be beneficial for both safety and economic point of view, limited deep excavations have been executed via this design strategy. This is mainly due to the lack of specification on how measurement-processing can be used to support engineers to assess the structure’s safety. This study introduces a methodology for real-time measurement-processing with the use of Bayesian updating. In this methodology retaining wall deflections are used to update the unique field conditions of the construction site. This methodology is applied to a measurement set gathered at the construction of a deep excavation in Groningen, The Netherlands, to demonstrate its potential to supplement the Observational method.