Study Group 01: AI-informed Structural Engineering and Design

Introduction

Artificial Intelligence (AI) is revolutionizing the landscape of structural engineering, transforming it in the same deep ways it is reshaping every other domain of human society. The rapid advancements in AI technologies, such as evolutive intelligence models, deep learning, generative AI, and sophisticated neural network architectures (transformers, RNN, LLM, etc), are pushing to an incredible growth the entire civil engineering. These are not only simply incremental improvements, but more realistically they are a leap beyond traditional methodologies. By enabling more efficient design processes, facilitating predictive maintenance, and enhancing overall structural performance, AI is ushering us into a new era of engineering excellence.

Background

This SG aims to serve as a dedicated platform for advancing the integration of AI and machine learning (ML) into structural engineering and design. The group will explore topics such as forward and inverse design, sequential decision-making models, generative modeling, knowledge integration, physics-informed approaches, large language models, and other cutting-edge ML techniques. In addition to technical advancements, the SG will address the ethical implications of AI applications in structural engineering, foster collaboration among researchers, and compile knowledge, datasets, and best practices to drive innovation in this transformative area of study.

Current Activities

1. Organize ARTISTE2025 International Conference and Summer School, dedicated to Artificial Intelligence applications to Structural Engineering, the groundbreaking events in the  field.
2. Organize sessions at IASS Symposia and Colloquia related to AI-informed Structural Engineering and Design.

Membership

The SG coordinators embark on this initiative, reaching out to IASS members and colleagues whose expertise and interests align with the SG’s objectives. If this emerging field resonates with your research or professional interests, they would be delighted to include you on the list of SG members.

All current members of the Study Group are members of the IASS. The Study Group welcomes additional members who have an interest in the mission and objectives of the group; those IASS members interested should please contact one of the Chairs of the Study Group (Find e-mail addresses in the IASS Directory by logging in).

Further Information for IASS Members