The determination of geotechnical parameters from in-situ tests heavily relies on the use of empirical correlations relating field measurements to soil properties. A large number of these correlations can be found across the literature, each of them yielding a different outcome for the parameter value. This results in a high variability of the potential results, which is not necessarily properly accounted for in the current geotechnical engineering practice. A new approach using graphs has recently been proposed by van Berkom [1] to automatically generate multiple parameter values based on a given set of correlations and equations. The present thesis assesses the quality of the estimates obtained from this new graph system and investigates how multiples outcomes can be combined into a unique result. The quality of the parameter’s estimates is appraised both in terms of accuracy or uncertainty, and in terms of validity. The combination of results from multiple methods showed that it is possible to either build confidence or distrust in the combined outcome depending of the consistency of the contributing results. As a result, this framework enabled a quantitative description of the inter-correlations variability. The conceptual framework has been then applied to geotechnical parameters and CPT-based correlations for coarse-grained soils. The range of applicability of the correlations (e.g. soil type, state of consolidation) is a critical factor that actively influences the final outcome of the system. This automatic system demonstrated its ability to produce parameter values relatively close to the values obtained with the current practices. Further validation is required to assess the overall performance of the system on a broader scale.

In situ tests, such as the cone penetration test (CPT), are a popular tool for geotechnical engineers because they are an efficient and economical method for routine site characterisation, soil profiling and estimation of constitutive properties of soil. The main problem with interpreting in situ test results is the large amount of empiricism that engineers have to rely on. Furthermore, the rise in complexity of constitutive soil models have made soil interpretation from experimental data ever more challenging. Constitutive models in numerical analyses are used to simulate the stress-strain response of soils and each model is governed by a set of parameters that quantifies the mechanical behaviour of soil. A consequence for the increased complexity of a constitutive model is the increased number of parameters to be defined from a larger number of experimental tests. This is why parameter determination is still one of the most challenging tasks faced by geotechnical engineers. The challenges in soil interpretation from experimental data have led to an increasing demand for a more efficient parameter determination system for performing more reliable numerical simulations in geotechnical engineering. This study explores the applicability of graphs to develop a generic system for the determination of constitutive model parameters from in situ test results. Graphs are mathematical structures used to model pairwise relations between objects in a network and benefit from their ability to visualise complex problems. In the same manner, the use of graphs in a parameter determination system could generate valid relations, or paths, between parameters in a network. This should give the user of the system, i.e., the geotechnical engineer, both insight in and control over the system. The proposed strategy aims to increase the confidence of derived parameters from in situ test results. It should eventually provide guidance for the user in selecting the right constitutive model and corresponding parameters for the considered application, in order to use the full potential of numerical analysis. This study presents a proof of concept for an automated system to determine constitutive model parameters from in situ test results. Key aspects of the system are: transparency and adaptability. The system is kept transparent, since users are able to verify how available information (i.e., expertise by the engineer) is used by the system to arrive at a solution. The system is kept adaptable, since users can add their expertise into the system without having to make modifications to the system and since developers can easily expand the system in the future. This study illustrates how a system can automatically generate paths between parameters in a network (i.e., a graph),using the external database (e.g., a spreadsheet) as input by the geotechnical engineer. The focus of this system is on determining engineering parameters based on CPT data for coarse-grained soils. However, the universality of the system allows the system to be extended to a wider range of soils and in situ tests. Separate ongoing research efforts are devoted to further validating and tweaking of the system.