A
Angus R. Simpson
Researcher at University of Adelaide
Publications - 316
Citations - 10368
Angus R. Simpson is an academic researcher from University of Adelaide. The author has contributed to research in topics: Water hammer & Transient (oscillation). The author has an hindex of 45, co-authored 308 publications receiving 9205 citations. Previous affiliations of Angus R. Simpson include Queensland Government & Cooperative Research Centre.
Papers
More filters
Journal ArticleDOI
Genetic algorithms compared to other techniques for pipe optimization
TL;DR: This paper investigates a three-operator genetic algorithm comprising reproduction, crossover, and mutation, and applies the optimization techniques to a case study pipe network.
Journal ArticleDOI
An Improved Genetic Algorithm for Pipe Network Optimization
TL;DR: The improved genetic algorithm (GA) formulation for pipe network optimization has been developed and found a solution for the New York tunriels problem which is the lowest-cost feasible discrete size solution yet presented in the literature.
Journal ArticleDOI
Ant Colony Optimization for Design of Water Distribution Systems
Holger R. Maier,Angus R. Simpson,Aaron C. Zecchin,Wai Kuan Foong,Kuang Yeow Phang,Hsin Yeow Seah,Chan Lim Tan +6 more
TL;DR: The findings of this study indicate that ACOAs are an attractive alternative to GAs for the optimal design of water distribution systems, as they outperformed GA for the two case studies considered both in terms of computational efficiency and their ability to find near global optimal solutions.
Journal ArticleDOI
Water hammer with column separation: A historical review
TL;DR: In this paper, a comprehensive survey of laboratory tests and field measurements is given, focusing on transient vaporous cavitation and steam condensation are beyond the scope of the paper. But they do not cover the effects of column separation in a pipeline.
Journal ArticleDOI
Developments in unsteady pipe flow friction modelling
TL;DR: In this paper, two distinct unsteady friction models, the Zielke and the Brunone models, are investigated in detail, and the two models are incorporated into the method of characteristics water hammer algorithm.