Bayesian model updating of long-span bridges utilizing measured modal parameters


Speaker: Ir Prof LAM Heung-fai, Department of Architecture and Civil Engineering, City University of Hong Kong
Date: 15 November 2023
Time: 6:00 pm – 6:30 pm (Entry)
6:30 pm – 7:30 pm (talk)
Venue: Chan Yat Mei Sophie Room, HKIE Headquarters, 9/F Island Beverley, No.1 Great George Street, Causeway Bay Hong Kong (on-site);

and Zoom (the link for joining the webinar will be emailed to you if the registration is Approved) (Online)

Fee: Free of Charge
Quota: 60 (on-site) and 300 (online)



Bayesian statistical system identification framework provides a robust and reliable way for developing reliable finite element models (FEMs). To realize the practical model updating of large-scale civil engineering structures, a Bayesian inference framework based on software interaction is proposed. The newly developed framework was applied to update the FEM of a long-span cable-stayed bridge in Hong Kong, utilizing measured modal parameters from the literature. The model updating results are found to be highly sensitive to the selection of model classes. Furthermore, the area of the main girder of the bridge deck is a key parameter influencing the lower modes of the cable-stayed bridge. A full⠂scale vehicular load test was conducted on the bridge to obtain the displacement influence line through the data recorded by GPS sensors. The set of measured influence lines is employed to verify the accuracy of the updated FEM. The results demonstrate that the characteristics of the FEM updated using the proposed Bayesian model updating framework based on measured dynamic properties are consistent with the structural characteristics of the bridge. The proposed framework can facilitate the structural health monitoring of large-scale civil engineering structures


About the Speaker:

Ir Prof LAM Heung-fai is currently associate professor in the Department of Architecture and Civil Engineering at the City University of Hong Kong. Ir Prof Lam performs fundamental and applied research in structural health monitoring (SHM) and innovative wind turbine design. He is experienced in full-scale dynamic testing of structures and has led to the book Vibration Testing and Applications in System Identification of Civil Engineering Structures (CRC Press). Ir Prof Lam is currently the Associate Editor of Engineering Structures. He was awarded the Top 2% most highly cited scientists in Engineering by Stanford University in 2020 and 2022; The Grand Award – Structural Excellence


Award from the Hong Kong Institution of Engineers, Structural Division in 2023; The Geneva International Exhibition of Inventions Silver Award (日內瓦國際發明展銀獎) in 2022 and 2023; The Editor’s Featured Paper Award and the Best Paper of the Year 2022 (Structural Control and Health Monitoring) from Engineering Structures (Elsevier) on Aug 2022; The Pengcheng Scholar Chair Professor (鹏城学者讲座教授) in Harbin Institution of Technology, Shenzhen, China, in 2019. Ir Prof Lam has received over HK$46 million in research grants. Ir Prof Lam has an h-index of 39 (Scopus).



Please use the link below for registration. The registration deadline is 10 Nov 2023.


CPD certificate:

Upon the completion of the seminar, CPD certificate will be issued in e-copy through the registered email address.


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