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A spectral pedestrian-based approach for modal identification (2019)
Journal Article
Jesus, A., Živanović, S., & Alani, A. (2020). A spectral pedestrian-based approach for modal identification. Journal of Sound and Vibration, 470, Article 115157. https://doi.org/10.1016/j.jsv.2019.115157

The dynamic behaviour of footbridges is characterised by modal properties such as natural frequencies, mode shapes, damping ratios and modal masses. Their estimation via modal tests often requires expensive or difficult-to-operate equipment (e.g. sha... Read More about A spectral pedestrian-based approach for modal identification.

Vibration-based Bayesian model updating of civil engineering structures applying Gaussian process metamodel (2019)
Journal Article
Moravej, H., Chan, T. H. T., Nguyen, K., & Jesus, A. (2019). Vibration-based Bayesian model updating of civil engineering structures applying Gaussian process metamodel. Advances in Structural Engineering, 22(16), 3487-3502. https://doi.org/10.1177/1369433219858723

Structural health monitoring plays a significant role in providing information regarding the performance of structures throughout their life spans. However, information that is directly extracted from monitored data is usually susceptible to uncertai... Read More about Vibration-based Bayesian model updating of civil engineering structures applying Gaussian process metamodel.

Modular Bayesian damage detection for complex civil infrastructure (2019)
Journal Article
Jesus, A., Brommer, P., Westgate, R., Koo, K., Brownjohn, J., & Laory, I. (2019). Modular Bayesian damage detection for complex civil infrastructure. Journal of Civil Structural Health Monitoring, 9(2), 201-215. https://doi.org/10.1007/s13349-018-00321-8

We address the problem of damage identification in complex civil infrastructure with an integrative modular Bayesian framework. The proposed approach uses multiple response Gaussian processes to build an informative yet computationally affordable pro... Read More about Modular Bayesian damage detection for complex civil infrastructure.