Resilience and Innovation: Hybrid Modeling in Structural Health Monitoring

Abstract

LUO Lanxin worked on a PhD project in hybrid modeling under the supervision of Prof. Yong Xia, Prof. Limin Sun, and Prof. Yixian Li. He aimed to combine physics-based and data-driven models for improved nonlinear boundary condition identification in structural health monitoring. Initially, Lanxin faced challenges integrating these approaches, but through perseverance and guidance, he found a suitable response solver and built a successful hybrid model. Presenting his work at the IABSE Symposium Tokyo 2025, he received the “Outstanding Young Engineer Contribution Award.” The encouragement from his mentors, peers, and PolyU’s resources, including a presentation course, played a crucial role in his progress. This journey not only enhanced his technical skills but also taught him the value of resilience and collaboration in research.