SOURCE-LINKED INTELLIGENCE

Machine learning-based DAS data processing for geotechnical site characterisation of challenging soils

CORDIS · observation · Publication date unknown

Machine learning-based DAS data processing for geotechnical site characterisation of challenging soils The project will establish methodologies to exploit surface waves from Distributed Acoustic Sensing (DAS), making it possible to utilise and repurpose long fibre optic cables for geotechnical characterisation. DAS has been applied so far mostly inside boreholes, for VSP analysis and the surface waves components are not involved in the analysis. However, fibre-optics surface monitoring can provide loads of data to be inverted for 1D Vs-depth models. The combination of borehole DAS testing too, will provide essential information to be used in the building of the a-priori model, requirement for seismic surface waves inversion and hence will contribute to the reliable estimate of Vs variability over depth in questionable soils. Furthermore, in terms of field testing, spiked geophones and a

Read original source ↗ Open in workspace

recordType

award

status

SIGNED

region

EU

value

252180

unit

EUR