ABSTRACT
In the era of complex numerical modelling, the geotechnical engineering practice always resort to simpler numerical tools, exhibiting the key phenomena. Such software is important for teaching since it allows to better understand the principles underlying the design of structures. They are also important for expertise or research on the one hand 434because they are easy to use and on the other hand because they establish a clear link between the assumptions made and the results. Most of this software is distributed under proprietary licenses, generating a “black box” effect and offering little flexibility to take a particular situation into consideration. From a teaching point of view, it is often useful to consider aberrant hypotheses in order to show their consequences. The Gustave Eiffel University is therefore developing geotechnical calculation software, entitled Slog. Open access and developed with Python, a widely used language, this software aims to federate a community of user-contributors, particularly among geotechnical teachers and students. In order to be able to easily compare different potential structures on the same site or, conversely, to be able to assess the relevance of a structure in different sites, the user is led to independently define the ground model and the anthropogenic actions. The intersection between both is carried out automatically, allowing the user to easily modify the properties of one or the other automatically. This flexible and scalable process is useful for teaching. The detailed example of the study of the stability of reinforced soils is presented here.
