Vulnerabilty assessment of a concrete bridge through fuzzy logic analysis of visual inspection compared to chemical inspection.
|
Bibliografische Angaben
Autor(en): |
Maria Valeria Piras
Luisa Deias Fausto Mistretta |
||||
---|---|---|---|---|---|
Medium: | Tagungsbeitrag | ||||
Sprache(n): | Englisch | ||||
Tagung: | IABSE Symposium: Large Structures and Infrastructures for Environmentally Constrained and Urbanised Areas, Venice, Italy, 22-24 September 2010 | ||||
Veröffentlicht in: | IABSE Symposium Venice 2010 | ||||
|
|||||
Seite(n): | 876-877 | ||||
Anzahl der Seiten (im PDF): | 8 | ||||
Jahr: | 2010 | ||||
DOI: | 10.2749/222137810796064192 | ||||
Abstrakt: |
In this paper we compare the results of different methodologies of inspections, made on the deck of a concrete bridge located near Cagliari, along the SS 195 road to Capoterra. From a strategic point of view this structure plays a key role ensuring direct connections from Cagliari to different structures related to industrial and local productions and to an important touristic district. Aim of our work is to obtain a real measure of the vulnerability through two procedures and compare them. The first one is based only on visual inspection while the second one realizes a measure in time of the vulnerability through chemical and physical processes focusing on the carbonation depth. With the first procedure we manipulated the data obtained by visual inspection with fuzzy logic, thus using mathematical and logic functions to transform linguistic assessments, inherently subjective, into a numerical result, thus objective, representing the failure probability. This is derived from visual inspection and it’s then compared to the results obtained through the evaluation of the carbonation process in the concrete beams of the bridge. The goal is to verify the reliability of visual inspection through the comparison of the data obtained with the two different approaches and trace a methodology in order to reduce the number of invasive actions and their cost. |
||||
Stichwörter: |
Sichtprüfung Fuzzylogik
|