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Giovanni Fabbrocino

Researcher at University of Molise

Publications -  165
Citations -  3093

Giovanni Fabbrocino is an academic researcher from University of Molise. The author has contributed to research in topics: Structural health monitoring & Operational Modal Analysis. The author has an hindex of 29, co-authored 150 publications receiving 2584 citations. Previous affiliations of Giovanni Fabbrocino include University of Naples Federico II.

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Experimental In-Plane Behavior of Tuff Masonry Strengthened with Cementitious Matrix–Grid Composites

TL;DR: In this article, a comprehensive experimental program on tuff masonry panels is presented; the results are intended as a contribution to the knowledge of in-plane behavior of tuff panels strengthened with composite materials.
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Seismic risk of atmospheric storage tanks in the framework of quantitative risk analysis

TL;DR: In this paper, some considerations regarding the intensity and probability of occurrence of earthquakes and the vulnerability of atmospheric storage tanks subjected to seismic actions have been given, and suggestions concerning industrial seismic-related accidental scenarios are also given.
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Automated output-only dynamic identification of civil engineering structures

TL;DR: In this article, the authors present a literature review on the field of automated modal identification and tracking procedures for structural health assessment, and some case studies are also reported in order to validate the approach.
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Quantitative risk analysis of oil storage facilities in seismic areas

TL;DR: The issue of integrating structural seismic risk into quantitative probabilistic seismic risk analysis (QpsRA) is addressed in this paper by a representative study case regarding an oil storage plant with a number of atmospheric steel tanks containing flammable substances.
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Development and validation of an automated operational modal analysis algorithm for vibration-based monitoring and tensile load estimation

TL;DR: In this paper, an original algorithm for automated output-only modal parameter estimation is presented, which is used for non-destructive testing as well as continuous monitoring purposes in view of continuous monitoring applications, and the results point out that the algorithm is fairly robust and demonstrate its ability to provide accurate and precise estimates of the modal parameters.