Resilience and Innovation: Hybrid Modeling in Structural Health Monitoring


Title

Resilience and Innovation: Hybrid Modeling in Structural Health Monitoring

Creator

Luo, Lanxin

Advisor

Xia, Yong
Sun, Limin
Li, Yixian

Faculty

Faculty of Construction and Environment

Department

Department of Civil and Environmental Engineering

Description

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.

Learning outcome/goal

Adaptability and Flexibility
Networking and Collaboration
Communication and Presentation Skills
Critical Thinking and Problem Solving

Award

Outstanding Young Engineer Contribution Award, IABSE Symposium Tokyo 2025 [International competition]

Date

2025-12

Programme

PhD

Degree Level

Postgraduate

Keywords

Structural Health Monitoring ; Finite Element Models ; Neural Networks ; Nonlinear Boundary Condition ; Structural Dynamics

Subject

Structural health monitoring
Structural analysis (Engineering)

Rights

All rights reserved

Language

English

Type

Feature Story

Access Rights

open access