HERI – Research Actions Database

Welcome to the HERI Research Actions Database. The database provides details of past and present research actions related to all aspects of hydropower. The database has been structured following the categorisation developed for the HYDROPOWER EUROPE research and innovation agenda, and Strategic Industry Roadmap.

The database contents have been collated from a variety of organisations working on research actions across all sectors of the hydropower industry. The information has been share freely and is available as open access. You can search the database or add details of new initiatives to the database via the buttons below.

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New computational Tools for RelIability-based dam SafeTy AssessmeNt

Description

TRISTAN develops new computational tools for reliability-based dam safety assessment, combining advanced numerical modelling, finite element methods (FEM), uncertainty analysis, and machine learning approaches. The objective is to improve the prediction of dam behaviour and support more reliable safety evaluations. The project focuses on using machine learning models to support FEM simulations, enabling more efficient prediction of dam response under normal and extreme loading conditions while considering uncertainties and risk.

Organisations

  • International Centre for Numerical Methods in Engineering (CIMNE) - Partner
  • Universidad Politécnica de Madrid - Partner

Funding

Specific Funding Sources:
N/A

Level of Action:

National: SPAIN

Applications

Large-hydro, Storage Hydropower

Keywords

Civil / Structural engineering, Dams, Digitalization, Hydraulics, Maintenance, Modeling / Simulation, Sustainability

Areas of Research

Research and Innovation Agenda

  • Development of advanced reliability-based monitoring and predictive maintenance systems using numerical modelling and machine learning to optimise dam safety assessment and maintenance intervals.

Strategic Industry Roadmap

Last Updated: 30/07/2026 15:59

TRISTAN

Start Date
2019
End Date
2021