*Development of Synthetic Indicators for Life Cycle Assessment (LCA) of Building Structures Using Artificial Intelligence Algorithms

**This postdoctoral research project aims to develop synthetic indicators that combine various parameters derived from Life Cycle Assessment (LCA) applied to building structures. The objective is to provide decision-support tools based on Artificial Intelligence (AI) to optimize design processes in the construction sector. By integrating multi-criteria LCA data (CO₂ emissions, resource use, biodiversity impact, etc.), the project seeks to leverage the potential of machine learning algorithms to simplify data complexity, identify the most sustainable combinations of materials and structures, and generate relevant indicators for rapid decision-making.**

**Specific Objectives:**

1. **Data Collection and Structuring for Building LCA:** Gather and organize available LCA data on various materials, manufacturing processes, structural configurations, and end-of-life models.

2. **Development of AI Algorithms for Indicator Synthesis:** Design and implement machine learning models (e.g., neural networks, random forests, reinforcement learning) to aggregate and weight environmental impacts based on predefined criteria (sustainability, energy cost, carbon footprint).

3. **Development of Predictive Models for Material and Structure Optimization:** Use predictive models to identify materials and structural designs that meet sustainability objectives, including specific constraints for structural performance and overall environmental impact.

4. **Creation of Synthetic Indicators:** Develop integrated indicators based on the learning data, enabling synthetic comparisons of design choices while considering different usage and end-of-life scenarios.

5. **Validation and Testing on Real-World Case Studies:** Apply the indicators and models to actual or simulated construction projects to evaluate their relevance, accuracy, and applicability.

The RE2020 regulation requires consideration of the CO₂ impact of construction projects, and soon all impacts from Life Cycle Assessment (LCA) will need to be taken into account. Designers (architects, engineers, etc.) lack the tools to make the right parameter choices during the design process, which can significantly affect the overall environmental impact of a building. It is therefore essential to develop solutions to support decision-making for designers.