Technique for optimization of a simplified network model

Data processing: structural design – modeling – simulation – and em – Simulating nonelectrical device or system – Fluid

Reexamination Certificate

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C138S178000, C345S440000

Reexamination Certificate

active

10457120

ABSTRACT:
A method and system for optimization of a simplified engineering model is provided. A software tool efficiently simplifies an engineering model such as a water distribution system and preserves the hydraulic accuracy of the simplified model. The system includes a software program that employs a genetic algorithm to evolve solutions for reinstating the behavior of the original network into a simplified network. The genetic algorithm can be used for identifying the less sensitive hydraulic elements (links and nodes), and removing them or replacing them with the best-fit element parameters produced by the genetic algorithm module of the present invention. A element-by-element skeletonization approach generates the layout of a skeleton network and then identifies potential equivalent elements for replacing series pipes and loops. Yet another alternative includes taking a skeleton network model, and using the techniques of the present invention, optimizes the demand distribution and pipe conductance of the skeletonized model.

REFERENCES:
Halhal et al., “Water Network Rehabilitation with a Structured Messy Genetic Algorithm” 1997. Journal of Water Resources Planning and Management, vol. 123, No. 3, p. 137-146.
Anderson- J.L., “Modeling Trio used for Distribution System Analysis” 1987, Water/Engineering Management p. 25-28.
Boulos, Paul F. et al. Explicit Calculation of Pipe-Network Parameters. Journal of Hydraulic Engineering, vol. 116, No. 11, Nov. 1990, ASCE., 1326-1345.
Wu, Zheng Yi et al. Calibrating Water Distribution Model via Genetic Algorithms. AWWA IMTech Conference, Apr. 14-16, 2002, Kansas City, MO., 1-10.
Wu, Zheng Yi et al. Using Genetic Algorithms to Rehabilitate Distribution Systems. Nov. 2001, Journal AWWA., p. 74-85.
Wu, Zheng Yi et al. Optimal Capacity Design of Water Distribution Systems, 1st ASCE Annual Environmental and Water Resources System Analysis (EWRSA) Symposium, May 19-22, 2002, Roanoke, VA., 1-9.
Zitzler, Eckart et al. Evolutionary Algorithm Based Exploration of Software Schedules for Digital Signal Processors, Genetic and Evolutionary Computation Conference, Orlando, FL, Jul. 1999., 1-8.

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