A focus throughout the study has been to look at where and when the use of scripting is the most effective. The modelling and analysis of the profiles in the thesis has been done purely using Python scripting, in order to give a good idea of its potential in regular engineering practice. For a comparative analysis, three optimization methods were selected: an optimization algorithm from a Python library, a simplistic optimization script and an automatized brute force method. Some general optimization theory has also been presented. The study starts by looking at previous optimization studies within the field of geotechnical engineering, evaluating the different methods with regards to their benefits and drawbacks. Along with the analysis itself, the general viability of modelling and analysis using Python in PLAXIS 2D for regular geotechnical engineering practice has been evaluated. This thesis has attempted to answer this by using Python in PLAXIS 2D to model and cost optimize single anchor sheet piles at the new Drammen Hospital in Drammen, Norway. However, knowing the situations in which these possibilities are the most useful is not always clear. With the implementation of options to couple programming languages and geotechnical finite element method software, the potential for optimized design in geotechnical engineering has arguably never been greater.
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