Sistema computacional de análisis de la vulnerabilidad en puentes de la red vial nacional en Colombia utilizando el modelo de jerarquización analítica

Abstract

This project creates a computational evaluation tool that takes decision criteria and many more variables that are involved in decision making for immediate intervention, using more defined criteria structural, hydraulic and geotechnical damages as indicators of the bridge's average risk and as indicators of consequence, the criteria of traffic level and strategic value of the bridge were used, with the respective sub-criteria as functional elements, infrastructure and superstructure, undermining the bridge in piles, abutments and fins, degree of importance within the road network, average daily traffic, importance of the road, impact by closure, difficulty in recovering the road, slope of the section, construction date of the bridge, structural configuration of the bridge, alternate roads and environmental sensitivity; covering in its great majority the technical-political and socio-environmental criteria that intercede in the decision making for an intervention in the evaluation of the bridges.

Using the decision process model of Saaty (1), although the methodology allows to generate values of the weights, through experts or judgment of values of a decision-making center, in the present project weights were generated qualitatively by measuring their consistency , which were taken based on the three bridge evaluations carried out by INVIAS in the years 1996-1997, 2001-2002 and 2008-2009 (12), these weights could be modified by the expert administrator of the program if criteria or "subjective judgments made by experts" (2) are required, an array is matrix of comparison by pairs of factors in a scale of assessment according to preferences using the scale of Saaty values (3) of equal or extreme importance since 1 (one) when the comparison is weak to 10 (ten) when the comparison is strong. The normalization process of the matrix is executed to obtain the relative weights for each criteria, calculating the congruence relation in order to verify the consistency of the individual judgments, obtaining the priority vector for each pair of criteria and in ordering the priorities for decision-making in the intervention for bridge management.