Multilevel Approach for Management of Existing Bridges: Critical Analysis and Application of the Italian Guidelines with the New Operating Instructions
Author(s): |
Agnese Natali
(Department of Civil and Industrial Engineering, University of Pisa, 56122 Pisa, Italy)
Antonella Cosentino (Department of Roads, Transportation and Civil Defence, Province of Pisa, 56124 Pisa, Italy) Francesco Morelli (Department of Civil and Industrial Engineering, University of Pisa, 56122 Pisa, Italy) Walter Salvatore (Department of Civil and Industrial Engineering, University of Pisa, 56122 Pisa, Italy) |
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Medium: | journal article |
Language(s): | English |
Published in: | Infrastructures, April 2023, n. 4, v. 8 |
Page(s): | 70 |
DOI: | 10.3390/infrastructures8040070 |
Abstract: |
This paper provides a discussion and thoughtful application on a large sample of the procedures for the classification of existing bridges recently adopted in Italy and defined within the Italian Guidelines for the classification, risk management, safety evaluation and monitoring of existing bridges and the early published Operating Instructions. Focusing on the classification at the territorial level, first the logic flows to the classification on the base of the structural risk are shown, resulting in the definition of the “structural warning class”, providing the motivations that support the criteria for the definition of such procedures. Then, a statistical analysis of the results obtained from the classification of 661 existing Italian bridges is performed, focusing on the vulnerability classification and on the influence of each parameter on its evaluation. |
Copyright: | © 2023 the Authors. Licensee MDPI, Basel, Switzerland. |
License: | This creative work has been published under the Creative Commons Attribution 4.0 International (CC-BY 4.0) license which allows copying, and redistribution as well as adaptation of the original work provided appropriate credit is given to the original author and the conditions of the license are met. |
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data sheet - Reference-ID
10722701 - Published on:
22/04/2023 - Last updated on:
10/05/2023