Index of Attention for a Simplified Condition Assessment and Classification of Bridges
Author(s): |
Chiara Ormando
Valentina Lucaferri Alessandro Giocoli Paolo Clemente Giacomo Buffarini Alberto Tofani |
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Medium: | journal article |
Language(s): | English |
Published in: | Infrastructures, 3 August 2024, n. 8, v. 9 |
Page(s): | 125 |
DOI: | 10.3390/infrastructures9080125 |
Abstract: |
A procedure for a simplified evaluation of bridges is proposed based on census and visual inspections. The structural–foundational, seismic, landslide, and hydraulic risks are considered, the hazard, vulnerability, and exposure factors of which are quantified with an index that can assume integer values from 1 to 5. Polynomial functions are then defined combining these indices, calculating an index for each risk and finally a multi-risk index of attention. The procedure follows a mathematical approach, less influenced by subjective choices, leading to a more gradual and efficient classification that managers can directly utilize. Specific needs and requirements result in specific configuration and calibration of the mathematical model coefficients. In this study, the authors calibrated coefficients to obtain results that were compliant with the Italian guidelines for existing bridges. The procedure, tested on a set of 86 bridges, does not replace an accurate evaluation, which is necessary in some cases and represents a higher level of knowledge, nor does it claim to provide a definitive result. It provides a more efficient classification, useful for establishing a rational decision-making process to prioritize any subsequent retrofit interventions. |
Copyright: | © 2024 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
10798197 - Published on:
01/09/2024 - Last updated on:
01/09/2024