Dan Brennan
Postdoctoral Research Associate at The University of Sheffield
Fri, Oct 18, 2024
6:00 PM UTC
Fri, Oct 18, 2024
6:00 PM UTC
In-person
4 Thomas More St
London E1W 1YW, UK
London E1W 1YW, UK
The Roux Institute
Room
100 Fore Street
Portland, ME 04101
Portland, ME 04101
Network Science Institute
2nd floor
2nd floor
Network Science Institute
11th floor
11th floor
177 Huntington Ave
Boston, MA 02115
Boston, MA 02115
Room
58 St Katharine's Way
London E1W 1LP, UK
London E1W 1LP, UK
Talk recording
Structural Health Monitoring (SHM), is the process of monitoring a system or structure with the objective of utilising the acquired data to assess the overall condition (the health) of the object in question. One problem of such an approach is acquiring enough data to characterise the `health' states of a structure. Population-based Structural Health Monitoring (PBSHM) is a recent development within the SHM community which attempts to bypass the data bottlenecks present in the `classic' SHM scenario. The aim of PBSHM is that by monitoring multiple structures (the population) one can gain additional insights into the health of a particular structure when using population data, compared to the insights available when using only a single structure's data. PBSHM operates under the premise that learnt knowledge may be shared across structures in the population; however, before any knowledge is shared, a similarity between structures is first established, to guide if an attempt to share knowledge should occur. The work presented encompasses the similarity generation process of PBSHM; each structure is first described through a standardised language (an Irreducible Element model), a graph representation of each structure is placed within a network, and finally links are generated between the structures dependent upon the derived similarity from comparisons algorithms. The presented work will include the current state of play with similarity comparisons within PBSHM and how the network is being adapted to deal with problems such as author bias.
About the speaker
Dan Brennan is a Postdoctoral Research Associate in the Dynamics Research Group at the University of Sheffield. His PhD developed the fundamental technology for structural similarity comparisons within Population-based Structural Health Monitoring. His current research is exploring how Network Science can be used within PBSHM to identify similar structures and communities within the network of structures.
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