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ARANEA: Physics-Enhanced AI for Soil–Pile Interaction Monitoring

CORDIS · observation · Publication date unknown

ins of the structure–soil interface for real-time monitoring, and inversion of soil parameters via two routes: physics-centred evolutionary optimisation with geotechnical priors, and physics-informed machine learning (PINNs, physics-constrained ODEs, INNs). Validated on synthetic, laboratory, and field datasets, the framework embeds explainability and uncertainty throughout to deliver diagnostics that are auditable and trustworthy for operators. Grounded in substructure formulations such as PISA-type models, ARANEA provides reliable, real-time decision support aiming to reduce inspections, extends asset life, and advances Europe’s sustainability and digitalisation goals. Structural Health Monitoring (SHM); Model Updating; Soil–Pile Interaction; Physics-Enhanced Machine Learning; Uncertainty Quantification

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recordType
award
status
SIGNED
region
EU
value
292118.88
unit
EUR

Evidence & attribution

European Commission, CORDIS Horizon Europe project dataset. Metadata adapted.

License: CORDIS reuse policy

First collected: 2026-09-20T05:31:32.981Z. This is not the publication date.