Radiance
Register
Register
Register

ExpertiseUpdated on 19 March 2026

AI-Driven Structural Integrity and Fatigue Analysis for Oil and Gas Systems

Slimane Debbaghi

Associate Professor at University of Adrar

Adrar, Algeria

About

I offer expertise in computational mechanics, fatigue and fracture analysis, and AI-driven modeling for structural integrity assessment in oil and gas systems.

My expertise includes:

  • Fatigue and crack growth modeling in pipelines and pressure systems

  • Fracture mechanics (Paris law, variable-amplitude loading)

  • Structural integrity and reliability assessment

  • Modeling of transient operations (shutdown, restart, pressure fluctuations)

  • Integration of physics-based models with AI (ANN, PINNs, surrogate models)

  • Development of fast predictive tools for industrial applications

Key application areas:

  • Pipeline integrity management and risk assessment

  • Fatigue life prediction under real operating conditions

  • Hydrate-related transient loading and its impact on structural safety

  • Digital twins for pipeline monitoring

  • Predictive maintenance and inspection optimization

What I can offer:

  • Development of AI-based models for fatigue and crack growth prediction

  • Integration of engineering models into decision-support systems

  • Optimization of maintenance strategies and inspection intervals

  • Collaboration on applied research projects (MSCA, Horizon Europe, industry-driven projects)

Field

  • STAFF EXCHANGES: Beneficiary / Associated Partner
  • COFUND: Implementing Partners / Associated Partners
  • MSCA and CITIZENS

Organisation

University of Adrar

University

Adrar, Algeria

Similar opportunities