With increasing demand on the sub-surface beneath the capital, space is at a premium. Space is restricted not only by current infrastructure (pipes, cables, tunnels, foundations), but also by the natural geological hazards that co-exist. One of these hazards is the volume change potential, or shrink-swell, of clay and clay-rich lithologies. These can vary from lithology to lithology and also within a lithology or rock type. Once uncovered by excavation or disturbed, any changes (e.g., weather, groundwater) affecting the lithology could cause new or exacerbate shrink-swell hazards.
NEW 3D DATA INSIGHT
The British Geological Survey’s (BGS) Hazard & Resilience Modelling Team have developed a new shrink-swell 3D dataset, called ‘BGS GeoSure Shrink–Swell 3D’ that delivers a unique insight into the properties of the subsurface. The shrink–swell 3D data is a regional hazard susceptibility map that identifies areas of potential shrink–swell hazard, in three dimensional space, at intervals down to 20m in the London and Thames Valley area. The data is classified on an A–E range of hazard susceptibility. The data have been produced by geologists, geotechnical specialists and information developers at the BGS, and are derived from the London geological model.
Using data, knowledge and expertise, it combines geological data from boreholes, 3D models and laboratory test results of plasticity to interpret the Volume Change Potential (VCP) of all rocks and deposits.
The dataset contains the following information at each 50m x 50m cell: Depth (0m-20m), Formation (a BGS Lexicon Code), Dominant Value (A-E), and Range Value (A-E). This new data product is designed to assist in the preparation of tenders, the planning of groundworks and the compilation of ground investigation desk studies. In particular, the dataset is highly relevant to the utility, engineering works, and tunnelling industry in terms of route planning, installation and network management.
SHRINK-SWELL HAZARDS
Swelling clays can change volume due to variation in moisture, this can cause ground movement, particularly in the upper 2m of the ground, or where excavated and exposed, that may affect many foundations or underground services. Ground moisture variations may be related to a number of factors, including weather variations, vegetation effects (particularly growth or removal of trees) and the activities of people that might cause changes to the water content and hence the ground conditions. Properties of earth materials are important for all engineering projects and the classification of shrink-swell potential provided by this dataset can be used in all ground developments to give a generic assessment informing engineers and planners at the pre-tender and desk study stage of likely ground conditions at their site or along their route. This allows for a far more efficient tender preparation, planning and execution of subsequent ground investigations.
USEFUL TO A RANGE OF SECTORS
The dataset is a key data resource for all assets and infrastructure developments and maintenance. Natural ground stability hazards may lead to financial loss for anyone involved in the ownership or management of assets, including developers, construction or local government if suitable measures are not taken. These costs could include increased reinsurance, additional engineering works to stabilise land or developments. These hazards may also impact on anyone involved in the construction of large structures (deep foundations, basements), infrastructure networks (road or rail) or utility companies. The 3D properties of these materials can be used to identify potential problems at surface, in the shallow sub-surface or deeper underground (e.g., tunnels). Armed with knowledge about potential hazards, preventative steps can be put in place to alleviate the impact of the hazard to people, property and infrastructure. The cost of such prevention may be very low, and is often many times lower than the repair bill following ground movement.
SHRINK-SWELL 3D FACTS
Through development of this model, we have found that on average some 42.5 per cent of London and the Thames Valley is potentially susceptible to shrinkage and swelling (classes D and E) if exposed by development and construction works. Some 10 thousand different geological units are identified and classified in the dataset.
1. Each of the geological units were allocated a VCP classification based on its upper quartile value. These units were then converted and, in some cases, combined or broken apart so they could be allocated to one of the 10,000+ geological LEX-ROCK (Lexicon and lithology code system) codes in BGS Geology 50k.
2. The Modified Plasticity Index (IP’) (Table 1) was calculated using the method proposed in BRE Digest 240 (1993). This method was used where the particle size data, specifically the fraction passing through a 425μm sieve, were known or could be assumed. Firstly, this method required the Plasticity Index (PI) values to be calculated from the Liquid Limit (LL) and Plastic Limit (PL) data, as follows:
PI = LL – PL
The Modified Plasticity Index (IP’) could then be calculated from the PI and the amount of fines passing a 425μm sieve, as follows:
IP’ = PI x percentage less than 425μm 100
The model was interrogated to determine the percentage presence of shrink-swell at the different depths shown in Table 2. Approximately half (51 pre cent) of the surface coverage in the model area (London & Thames Valley) has a Class A rating, i.e., deposits are non-plastic, and only 25 per cent of surface deposits are high or very high plasticity. However with depth, this high – very high proportion increases considerably with some 48 per cent of deposits being susceptible to shrink-swell at 10m and 49 per cent at 20m depth. This highlights that even across this relatively large region, there is much variation with depth that needs to be taken into account for any engineering project. An example of these changes in hazard potential can be demonstrated in Figure 1.
