Quantitative analysis approach to assess variability in seabed conditions across a large offshore windfarm site
Jared Charles (Infrastructure) and Susan Gourvenec (Infrastructure)
Duration: 168h (flexible start date)
Offshore windfarms are growing in size and being constructed across areas with significant variability of seabed sediments. Traditional in-situ site investigation tests such as cone penetrometer tests (CPT) are costly and time consuming and provide data at a single discrete point with interpolation necessary to estimate soil properties between testing points. Emerging techniques utilising Neural Networks (NN) allow for the generation of a “synthetic” CPT profile at any location from geophysical survey data, but NN-based approaches are only as good as their inputs. It is therefore necessary to ensure the limited number of “real” CPT profiles are as representative of the site as possible and provide maximum coverage of the problem space.
This internship will explore the possibilities of using time series analysis techniques with CPT data to determine how similar CPT profiles are to each other and how this varies spatially across a site. In this application, the time series analysis will be applied to depth series data of the profile of CPT resistance. This internship will involve the use of real site data collected at the Burbo Bank offshore windfarm.
The internship will consist of three steps: 1, writing a brief review of “time series” similarity methods and pre-processing techniques and considerations as to their applicability to geotechnics; 2, develop and document code to load, pre-process, and compare CPT profiles taken from a real offshore wind site investigation; 3, produce plots to communicate spatial variability of seabed conditions across the Burbo Bank site.
This internship would be suitable for any student (or recent graduate) who has strong confidence in programming and desire to learn about time series analysis and offshore geotechnical engineering.
Key skills: Programming (Python, Matlab, or other), Data processing
CIVIL, MARITIME
AND ENVIRONMENTAL
ENGINEERING DEPARTMENT
University of Southampton
Explore our website:
Contact us:
+44(0)23 8059 5000
+44(0)23 8059 3131
University of Southampton
University Road
Southampton
SO17 1BJ
United Kingdom
CIVIL, MARITIME
AND ENVIRONMENTAL
ENGINEERING DEPARTMENT
University of Southampton
Explore our website:
Contact us:
+44(0)23 8059 5000
+44(0)23 8059 3131
University of Southampton
University Road
Southampton
SO17 1BJ
United Kingdom
© 2020 Civil, Maritime and Environmental Engineering Department
© 2020 Civil, Maritime and Environmental Engineering Department