Modelagem computacional visando a reabilitação de redes hidráulicas

• Autor(a) principal: Salvino., Moisés Menezes
• Data de Publicação: 2012
• Tipo de documento: Tese
• Idioma: por
• Título da fonte: Biblioteca Digital de Teses e Dissertações da UFPB
• Texto Completo: https://repositorio.ufpb.br/jspui/handle/tede/5334
• topic: Calibração; Redes de distribuição de água; Reabilitação; Algoritmos genéticos; Calibration; Water distribution networks; Rehabilitation; Genetic algorithms; ENGENHARIAS::ENGENHARIA MECANICA

This thesis aims to develop a robust computational model with a view to multivariate calibration of hydraulic models of water distribution systems, enabling the identification of possible irregularities such as leaks, obstructions in the pipes, valves, dead or strangled and incompatibilities regarding the modeling to real data. The model LenhsCalibra - software developed in this thesis for the application of multivariate calibration algorithm proposed - incorporates two distinct alternatives for calibration of distribution networks. The first alternative uses an iterative algorithm, the other is carried out by Multiobjective Genetic Algorithms. The calibration process aims at using networks modeled in Epanet hydraulic simulator, adjust the differences of state variables of the network giving information consistent with their respective real networks. The calibration process allows the proposed use up to seven variables: the roughness, the demand, the pressure drop is unique, the topographic, leaks, valve diameters and, simultaneously, or any combination thereof. Depending on the characteristics of the network to be modeled and calibrated you can set limits for the variables and choose which variables to calibrate. The experimental application was carried out at the Laboratory for Energy Efficiency and Water Sanitation UFPB through its Pilot System for Water Distribution. The results showed that the algorithm has good convergence with respect to processing time and the approximation of the measured and calculated values, as well as enables the identification of problems by analyzing the parameters resulting from calibration, thus providing support for a more accurate rehabilitation.