Author(s): Bong Seog Jung
Linked Author(s):
Keywords: Calibration; Water distribution system; Genetic algorithms; Particle swarm optimization; Transient; Leakage; Friction factor
Abstract: A comprehensive numerical study is presented for leak detection and system calibration using so-called Inverse Transient Calibration (ITC). Two evolutionary approaches, namely Genetic Algorithms and Particle Swarm Optimization are employed as optimization tools to solve an inverse problem in which system parameters (such as lumped leak coefficients and friction factors) are determined from measured transient pressure head data. This paper examines systematically the difficulties and limitations of ITC when applied to real water distribution system. Due to the uncertain system parameters such as pipe diameter, wave speed and water demand, a systematic calibration approach to explicitly include these additional uncertainties during the ITC process are investigated. However, even these approaches can often be expected to converge poorly when the full scale of the field problem is reflected in the search space.
Year: 2005