题目：Ensuring Reliability in AI-Driven Structural Simulations: Toward Robust Simulation Governance

主讲：Antti H. Niemi 教授

时间：10月21日14:00

地点：图书馆报告厅

主办：建筑工程学院、国际教育学院、奥卢学院

主讲嘉宾简介：

Dr. Antti H. Niemi earned his M.Sc. in Engineering Physics (2004) and D.Sc. in Mathematics (2009) from the Helsinki University of Technology (now Aalto University). Since 2020, he has been a professor of structural design and engineering mechanics at the University of Oulu, where he also serves as Dean of the Faculty of Technology. In this role, he leads a diverse and dynamic academic community, fostering innovation and collaboration across disciplines.Dr. Niemi's research focuses on developing advanced mathematical models and numerical simulation methods in structural mechanics, addressing topics such as finite element methods, stress analysis, stability, and multi-scale modeling. His work integrates fundamental mathematics with practical applications to improve the reliability, efficiency, and sustainability of structural designs.He has held research positions at international institutions, including Aalto University (Finland), KAUST (Saudi Arabia), and the Oden Institute at the University of Texas at Austin (USA), which have enriched his global perspective and interdisciplinary expertise. In addition to his academic roles, he has worked in engineering consulting as a bridge and structural designer, combining hands-on experience with theoretical advancements.

报告主要内容：

Artificial intelligence and machine learning are transforming how engineers design and evaluate structures. In structural engineering, these tools enable optimization, predictive modeling, and rapid assessment under complex conditions. Yet as our dependence on digital simulations deepens, a fundamental question arises: how can we trust the models that increasingly shape real-world decisions?

This talk explores the emerging concept of simulation governance—the framework that ensures computational models are credible, transparent, and aligned with physical reality. I will discuss the key elements of simulation governance, including verification and validation, uncertainty quantification, and data integrity, and how these principles apply to civil and structural engineering.

Examples will include advances in finite element analysis, such as the Discontinuous Petrov-Galerkin (DPG) method, which enhances numerical robustness in complex stress fields, and the use of AI-driven tools for structural optimization and reliability studies under extreme snow loads, where predictive accuracy and uncertainty quantification are critical for safety and resilience.