most citedOn topological data analysis for structural dynamics: an introduction to persistent homology

2 citations · 2 across the 5 of their papers we have counts for

collaborators

5 papers

math.AT2022

A topological analysis of cointegrated data: a Z24 Bridge case study

Tristan Gowdridge, Elizabeth Cross, Nikolaos Dervilis +1

The paper studies the topological changes from before and after cointegration, for the natural frequencies of the Z24 Bridge. The second natural frequency is known to be nonlinear…

math.AT2022

On topological data analysis for SHM; an introduction to persistent homology

Tristan Gowdridge, Nikolaos Devilis, Keith Worden

This paper aims to discuss a method of quantifying the 'shape' of data, via a methodology called topological data analysis. The main tool within topological data analysis is persis…

cs.HC2022

On the application of topological data analysis: a Z24 Bridge case study

Tristan Gowdridge, Nikolaos Dervilis, Keith Worden

Topological methods are very rarely used in structural health monitoring (SHM), or indeed in structural dynamics generally, especially when considering the structure and topology o…

math.DS2022

On the application of the generating series for nonlinear systems with polynomial stiffness

Tristan Gowdridge, Nikolaos Dervilis, Keith Worden

Analytical solutions to nonlinear differential equations -- where they exist at all -- can often be very difficult to find. For example, Duffing's equation for a system with cubic…

stat.ML2022★ 2 cited

On topological data analysis for structural dynamics: an introduction to persistent homology

Tristan Gowdridge, Nikolaos Dervilis, Keith Worden

Topological methods can provide a way of proposing new metrics and methods of scrutinising data, that otherwise may be overlooked. In this work, a method of quantifying the shape o…