Project description
Reliable diagnostics and inspection for critical infrastructure
Ensuring the resilience of critical infrastructure requires advanced and reliable structural health monitoring (SHM). Despite progress in model updating and vibration-based assessment, important challenges remain, particularly in relation to scalability, nonlinear dynamics, soil-pile interaction and uncertainty quantification. Supported by the Marie Skłodowska-Curie Actions programme, the ARANEA project will advance vibration-based SHM through a multimodal monitoring framework for offshore foundations. By combining physics-enhanced artificial intelligence with uncertainty-aware system identification, model updating and real-time digital twinning, ARANEA will improve the characterisation and monitoring of nonlinear soil-foundation interaction. By delivering explainable diagnostics and decision-support tools, ARANEA will support condition-based maintenance, enable more targeted inspection and intervention strategies, and contribute to extending the service life and resilience of critical infrastructure.
Objective
Ensuring the resilience of critical infrastructure—especially offshore wind turbines and bridges—requires next-generation Structural Health Monitoring (SHM) that delivers real-time, interpretable, and uncertainty-robust diagnostics. Deterministic and stochastic model-updating have advanced the field, but gaps remain in scalability, treatment of non-linear dynamics, and application to soil–pile interaction (SPI). SHM supports safe operation, early damage detection, and condition-based maintenance, reducing risk, extending service life, and lowering costs. This project advances vibration-based SHM by fusing acceleration and strain in a multi-modal framework and applying it to SPI, explicitly handling uncertainty and non-linearity. It goes beyond current practice to provide predictive, uncertainty-aware asset management aligned with the EU Green Deal and Europe’s digital transition.
ARANEA combines physics-based modelling and data-driven learning in a hybrid model-updating framework. It fuses acceleration and strain with physics-enhanced AI for SPI in offshore foundations. The method integrates output-only system identification with quantified uncertainty, reduced-order digital twins 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.
Fields of science (EuroSciVoc)
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: The European Science Vocabulary.
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: The European Science Vocabulary.
- engineering and technology environmental engineering energy and fuels renewable energy wind energy
- social sciences economics and business economics sustainable economy
- natural sciences computer and information sciences artificial intelligence machine learning
You need to log in or register to use this function
Keywords
Project’s keywords as indicated by the project coordinator. Not to be confused with the EuroSciVoc taxonomy (Fields of science)
Project’s keywords as indicated by the project coordinator. Not to be confused with the EuroSciVoc taxonomy (Fields of science)
Programme(s)
Multi-annual funding programmes that define the EU’s priorities for research and innovation.
Multi-annual funding programmes that define the EU’s priorities for research and innovation.
-
HORIZON.1.2 - Marie Skłodowska-Curie Actions (MSCA)
MAIN PROGRAMME
See all projects funded under this programme
Topic(s)
Calls for proposals are divided into topics. A topic defines a specific subject or area for which applicants can submit proposals. The description of a topic comprises its specific scope and the expected impact of the funded project.
Calls for proposals are divided into topics. A topic defines a specific subject or area for which applicants can submit proposals. The description of a topic comprises its specific scope and the expected impact of the funded project.
Funding Scheme
Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.
Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.
HORIZON-TMA-MSCA-PF-EF - HORIZON TMA MSCA Postdoctoral Fellowships - European Fellowships
See all projects funded under this funding scheme
Call for proposal
Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
(opens in new window) HORIZON-MSCA-2025-PF
See all projects funded under this callCoordinator
Net EU financial contribution. The sum of money that the participant receives, deducted by the EU contribution to its linked third party. It considers the distribution of the EU financial contribution between direct beneficiaries of the project and other types of participants, like third-party participants.
8092 Zuerich
Switzerland
The total costs incurred by this organisation to participate in the project, including direct and indirect costs. This amount is a subset of the overall project budget.