GNGTS 2023 - Atti del 41° Convegno Nazionale

Session 2.2 GNGTS 2023 Concrete with a compressive strength of 37 MPa serves as the repair mortar. Concrete jacketing ( ): The jacketing at the base ensure a resistant moment at the base of 4 the repaired column equal to that of the original column. Both longitudinal and transverse reinforcement rebars are severely damaged and the contribution to strength in the repaired column is provided by the concrete jacketing and the new reinforcement. A number of 15 ϕ 20 longitudinal bars are considered; the diameter is, smaller than the previous ones to avoid an excessive increase in the resistant moment. The shear contribution of the cross reinforcement is provided by a spiral with diameter and pitch equal to 12 mm and 100 mm. The jacket height of 1800 mm is chosen to avoid possibility that the column would yield above the jacket. Sustainability evaluation A multi-criteria analysis based on the AHP (Analytic Hierarchy Process), MIVES (Modelo Integrado de cuantificacion de Valor para Edificacion Sostenibles) and TOPSIS (Technique for Order of Preference by Similarity to Ideal Solution) approaches has been conducted. This analysis assessed environmental, economic, social, and structural aspects. T. Saaty created the AHP methodology in the 1970s, and it can be used alone or in conjunction with other techniques. The method is used to simplify linear hierarchical systems that handle difficult problems. It entails building a multi-level decision tree with criteria for ranking the alternatives. Each criterion is assigned a weight given by comparison with the others belonging to the same cluster (or group). There are many ways to make comparisons and attribute Weights, in this research the Method of self-value and groupings through clustering by absolute and relative measurement. In each cluster, with an ordered pair of objects ( , ) of a level, the decision-maker expresses a judgment from 1 to 9 (Saaty scale) of comparison ( ) grouped in a comparison-matrix: with = 1 = 1 ,  ∀ⅈ (1) Each last-level criterion is assigned, for each alternative, a value that quantifies the approval of this alternative. This step is carried out with the MIVES. Once the decision tree and weight have been processed, decision-makers must discover the Value Function for each last-level criterion in order to assign an analytical validity and a precise preference. By analyzing a Value Function calculated in the assessed x (value of the alternative), with respect to last level criterion for each Alternative (A), the MIVES approach determines the satisfaction value