Finding explosive threats in complex environments is a challenge. Benign objects (e.g. rocks, plants and rubbish), ground surface variation, heterogeneous soil properties and even shadows can create anomalies in remotely sensed imagery, often triggering false alarms. The overarching goal is to dissect these complex sensor images to extract clues for reducing false alarms and improve threat detection. Of particular interest is the effect of soil properties, particularly hydrogeological properties, on physical temperatures at the ground surface and the signatures they produce in infrared imagery. Hydrogeological variability must be considered at the scale of the sensor's image pixels, which may be only a few centimetres. To facilitate a deeper understanding of the components of the energy distribution, a computational testbed was developed to produce realistic, process-correct, synthetic imagery from remote sensors operating in the visible and infrared portions of the electromagnetic spectrum. This tool is being used to explore near-surface process interaction at a fine scale to isolate and quantify the phenomena behind the detection physics. The computational tools have confirmed the importance of hydrogeology in the exploitation of sensor imagery for threat detection. However, before this tool's potential becomes a reality, several technical and organizational problems must be overcome.
This work is part of the DIGIFLOAT project. This project aims to provide a digital twin software framework that enables high-fidelity structural integrity analysis for a floating offshore wind turbine (FOWT) in its as-is state — we refer to this as a structural digital twin (SDT). The same framework is also applicable at design time to assess an extensive range of operational conditions with high-fidelity analysis. In order to achieve this purpose, we validate in this work, a complete system-level FOWT structural analysis framework, which is integrated with NREL OpenFAST and Akselos’ Integra® software. OpenFAST provides the global motions and loads, and these are mapped in the time-domain to the structural model for structural analysis. The structural analysis includes all relevant loads from the system-level model: wind turbine aerodynamics, hydrodynamics, servo-control, and mooring. We demonstrate that the Reduced Basis Finite Element Analysis (RB-FEA) used in Integra® makes detailed structural analysis of FOWT hulls efficient, and that this is an enabler for FOWT SDTs.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.