Abstract
Offshore energy production implicates characterizing large volumes of soil. The 3D-interpretation of properties where only scarce geotechnical data is available is crucial for deriving effective and safe engineering decisions. A dynamic-neural procedure is developed for describing spatial relations between a set of geo-parameters easy-to-obtain. Using this technology can be determined site-specific strength values where it is neither practical nor economical to acquire more geotechnical data, taking into account uncertainty due to three-dimensional changeability. This neuronal model is incorporated into a Virtual Reality engine for an effective exploiting and proper visualization of the millions of computer-generated strengths. The virtual-technology allows the design team to deeply observe their project improving the understanding of how it works and evolves.
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García, S., Trejo, P., García, A., Dumas, C., Valle-Molina, C. (2019). Offshore Geotechnical Properties, A VR/Neural-Interpretation: Part 1. In: Randolph, M., Doan, D., Tang, A., Bui, M., Dinh, V. (eds) Proceedings of the 1st Vietnam Symposium on Advances in Offshore Engineering. VSOE 2018. Lecture Notes in Civil Engineering , vol 18. Springer, Singapore. https://doi.org/10.1007/978-981-13-2306-5_6
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DOI: https://doi.org/10.1007/978-981-13-2306-5_6
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