About

The integration of AI into mechanics of materials and structures is opening unprecedented opportunities for advancing sustainable engineering design. Mechanics provides the fundamental framework for predicting material and structural behavior, while AI introduces powerful data-driven capabilities to analyze complex systems, uncover hidden correlations and enable adaptive decision-making. Their synergy represents a promising frontier in the development of durable, low-carbon and circular solutions for the built environment, energy infrastructure, transportation and advanced manufacturing. The Colloquium will serve as a focused interdisciplinary platform that connects mechanics, materials science, computational intelligence and sustainability by discussing theoretical foundations, computational strategies and applied case studies.

Topics:

Physics-Informed and AI-Assisted Mechanics

• Physics-Informed Machine Learning in Mechanics
• AI-Assisted Constitutive Modeling
• Data-Driven Modeling of Composite Materials
• Fatigue, Damage, and Fracture Prediction

Digital Twins, Monitoring and Intelligent Infrastructure

• Digital Twins for Materials and Structures
• Structural Health Monitoring with AI
• Intelligent Sensing and Smart Structures

Sustainable Materials and Circular Engineering

• Sustainable and Circular Material Design
• Recycling and Reuse of Engineering Materials

AI-Driven Design and Manufacturing

• Lightweight Structures and Topology Optimization
• AI in Additive Manufacturing
• Generative AI for Engineering Design

Reliability, Resilience and Lifecycle Performance

• Uncertainty Quantification and Reliability
• Predictive Maintenance and Asset Management
• AI-Based Risk Assessment for Engineering Systems