Garbowski, T., Cocchetti, G., Cornaggia, A., Ferrari, R., & Rizzi, E. (2023). Inverse Analysis investigation by Gaussian Processes optimisation of a historical concrete bridge relying on dynamic modal measurements. In Eccomas Proceedia ID: 10716/Conference Proceeding ID: 21212 (pp. 4249-4264). Eccomas Proceedia.
Garbowski, T., Cocchetti, G., Cornaggia, A., Ferrari, R., & Rizzi, E. (2023). Inverse Analysis investigation by Gaussian Processes optimisation of a historical concrete bridge relying on dynamic modal measurements. In Eccomas Proceedia ID: 10716/Conference Proceeding ID: 21212 (pp. 4249-4264). Eccomas Proceedia.
Garbowski, T., Cocchetti, G., Cornaggia, A., Ferrari, R., & Rizzi, E. (2023). Inverse Analysis investigation by Gaussian Processes optimisation of a historical concrete bridge relying on dynamic modal measurements. In Eccomas Proceedia ID: 10716/Conference Proceeding ID: 21212 (pp. 4249-4264). Eccomas Proceedia.
Garbowski, T., Cocchetti, G., Cornaggia, A., Ferrari, R., & Rizzi, E. (2023). Inverse Analysis investigation by Gaussian Processes optimisation of a historical concrete bridge relying on dynamic modal measurements. In Eccomas Proceedia ID: 10716/Conference Proceeding ID: 21212 (pp. 4249-4264). Eccomas Proceedia.
Abstract
In the broad field of Inverse Analysis and Structural Identification, it is nowadays of a large interest the study of Gaussian Processes, as a reliable and efficient optimisation method, particularly helpful toward the identification of a global optimum point, under the conditions of complicated functions to be optimised. In the present contribution, a specific case study is considered, focusing on a historical road reinforced concrete arched bridge, located in Northern Italy, employing dynamic modal properties, deciphered from in-situ measurements, previously acquired under operational traffic conditions, by a standard wired accelerometer system, placed at the deck level. Aiming at the identification and diagnosis of the bridge structure, three main methodological steps are herein considered: the adoption of a FEM model of the structure (in the linear dynamic framework), the definition of an appropriate discrepancy function, based on measured and numerically computed quantities (natural frequencies and mode shapes of the bridge), and the investigation of such a discrepancy function, toward a consistent selection of an optimisation strategy for the identification of sought parameters (Young’s moduli and mass densities of diverse elements of the structure). The presented developments, within the framework of methodological optimisation approach by Gaussian Processes, and achieved results display a rather efficient perspective, with reference to the considered case study, toward inverse analysis for structural diagnosis, in the context of strategic (historical) infrastructures.
Copyright:
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