Ignacio Gonzalez
- (2019): Application of a Model-free ANN Approach for SHM of the Old Lidingö Bridge. Vorgetragen bei: IABSE Symposium: Towards a Resilient Built Environment Risk and Asset Management, Guimarães, Portugal, 27-29 March 2019.
- (2020): A combined model-free Artificial Neural Network-based method with clustering for novelty detection: The case study of the KW51 railway bridge. Vorgetragen bei: IABSE Conference: Risk Intelligence of Infrastructures, Seoul, South Korea, 9-10 November 2020.
- (2021): The influence of frequency content on the performance of artificial neural network–based damage detection systems tested on numerical and experimental bridge data. In: Structural Health Monitoring, v. 20, n. 3 (Januar 2021).
- (2020): Model-free damage detection of a laboratory bridge using artificial neural networks. In: Journal of Civil Structural Health Monitoring, v. 10, n. 2 (März 2020).
- (2019): An approach to decision‐making analysis for implementation of structural health monitoring in bridges. In: Structural Control and Health Monitoring, v. 26, n. 6 (Mai 2019).
- (2013): Temperature dependence of ballast stiffness on a railway bridge. Vorgetragen bei: IABSE Conference: Assessment, Upgrading and Refurbishment of Infrastructures, Rotterdam, The Netherlands, 6-8 May 2013.
- (2013): The application of a damage detection method using Artificial Neural Network and train-induced vibrations on a simplified railway bridge model. In: Engineering Structures, v. 52 (Juli 2013).
- (2014): Analysis of the annual variations in the dynamic behavior of a ballasted railway bridge using Hilbert transform. In: Engineering Structures, v. 60 (Februar 2014).
- (2015): BWIM aided damage detection in bridges using machine learning. In: Journal of Civil Structural Health Monitoring, v. 5, n. 5 (November 2015).
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