AI Integration and Transformation

Mission Statement/Objectives
The previous working group TG3.6 has built a strong foundation and established the "AI in AEC" conference for pioneer engineers using AI. However, the current advancements in generative AI with human-level intelligence are progressing much faster than the average pace of the bridge and structural design industry. 

Based on current research and engineering practices, we aim to establish a global and systematic approach, to prepare the entire engineering community for the transition to the new Alera.

There are generally three phases towards integrating structural design with Al:

1. Digitalization of knowledge (creating database suitable for Al model training)
2. Automation of design process (non-generative, repetitive work with fixed rules)
3. Al-assisted design (involves generative Al for decision-making support)

Key works, such as a comprehensive roadmap, a unified taxonomy, basic databases and eventually worked examples, are urgently needed to provide guidance for a timely integration with Al through the three phases mentioned above

TG 3.10 is running a survey: Help shape the future of BSE in AI Era, let us know:

- Which AI tools streamline your work in BSE?

- What are your top expectations for AI in BSE?

Scan the QR code to get access to the questionnaire: Click Here (for desktop) or use QR code.

Scope & Limitation

A group of tasks will be carried out to achieve our mission:

Task 1: Review of current status and proposition of a comprehensive roadmap of the digitalization and Al integration in bridge and structure engineering

Task 2: Digitalization of bridge and structural engineering knowledge (establishment of the database of bridge structure engineering, based on IABSE data and other public data)

Task 3 (optional): Worked example of data-driven solution for preliminary design/ complex structural analysis/ maintenance/ social-economy impact study.

Expected Project Output

From Task 1:

• Articles on the review and roadmap toward Al-integrated BSE

From Task 2:

• Guideline: Taxonomy of Bridge and Structural Engineering towards Digitalization and Al
• Database: Graph dataset of different type of bridges/structures, suitable for Vision Model
• Database: Text dataset consolidating knowledge from IABSE publications, suitable for training/tuning Large Language Model training/tuning

Start Date: 1 July 2024

Target Date of Completion: 30 June 2026

Chair
Xiaomeng Wang, Switzerland

Vice Chair
Andrey Sizikov, United Kingdom

Members

Jianpeng Cao, Hong Kong, SAR China   Linda Cusumano, Sweden

Vesa Järvinen, Finland

Ramaseshan Kannan, UK

Michael Kraus, Germany

Isamu Lautenschläger, Germany        Yasutaka Narazaki, China

Xin Ruan, China

Xinxin Shi, China

Yuan Tian, US

Ngai Yeung, Hong Kong, SAR China

Teng Wu, US

Jason Wu, US