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Engineering and Technology

D-Index
57
Citations
13756
World Ranking
2612
National Ranking
134

Overview

Angus R. Simpson is affiliated with the University of Adelaide in Australia. Their research primarily spans the field of engineering, with a focus on civil and structural engineering as well as ocean and electrical engineering subfields.

The scientist has contributed extensively to the study and optimization of water systems, with significant work also related to smart grid energy management and geophysical methods. Their research interests include:

  • Water Systems and Optimization
  • Smart Grid Energy Management
  • Geophysical Methods and Applications
  • High voltage insulation and dielectric phenomena
  • Water-Energy-Food Nexus Studies
  • Water resources management and optimization
  • Geotechnical Engineering and Underground Structures

Angus R. Simpson has authored multiple papers, notably in the Journal of Water Resources Planning and Management, where they have published nine papers, along with publications in the Journal of Hydraulic Engineering, Water, Journal of Cleaner Production, and arXiv.

Some recent papers include:

  • Leak Detection and Topology Identification in Pipelines Using Fluid Transients and Artificial Neural Networks (2020) - Journal of Water Resources Planning and Management
  • Stochastic Resonance Enhancement for Leak Detection in Pipelines Using Fluid Transients and Convolutional Neural Networks (2022) - Journal of Water Resources Planning and Management
  • Merging Fluid Transient Waves and Artificial Neural Networks for Burst Detection and Identification in Pipelines (2020) - Journal of Water Resources Planning and Management
  • Paired-IRF Method for Detecting Leaks in Pipe Networks (2020) - Journal of Water Resources Planning and Management
  • Minimizing Pumping Energy Cost in Real-Time Operations of Water Distribution Systems Using Economic Model Predictive Control (2021) - Journal of Water Resources Planning and Management

Frequent coauthors working with Angus R. Simpson include:

  • Martin F. Lambert
  • Jinzhe Gong
  • Aaron C. Zecchin
  • Wenyan Wu
  • Wei Zeng

The research output shows a strong focus on addressing challenges in water infrastructure, pipeline leak detection, and energy-efficient management of water distribution systems. The use of artificial neural networks and advanced computational methods is a recurring element in their recent work.

Best Publications

  • Genetic algorithms compared to other techniques for pipe optimization

    Angus R. Simpson;Graeme C. Dandy;Laurence J. Murphy

  • An Improved Genetic Algorithm for Pipe Network Optimization

    Graeme C. Dandy;Angus R. Simpson;Laurence J. Murphy

  • Ant Colony Optimization for Design of Water Distribution Systems

    Holger R. Maier;Angus R. Simpson;Aaron C. Zecchin;Wai Kuan Foong

  • Water hammer with column separation: A historical review

    A Bergant;AR Angus Simpson;AS Arris Tijsseling

  • Leak Detection and Calibration Using Transients and Genetic Algorithms

    John P. Vítkovský;Angus R. Simpson;Martin F. Lambert

  • Developments in unsteady pipe flow friction modelling

    Anton Bergant;Angus Ross Simpson;John Vìtkovsk

  • LEAK DETECTION IN PIPELINES USING THE DAMPING OF FLUID TRANSIENTS

    Xiao-Jian Wang;Martin F. Lambert;Angus R. Simpson;James A. Liggett

  • Genetic Algorithms for Reliability-Based Optimization of Water Distribution Systems

    Bryan A. Tolson;Holger R. Maier;Angus R. Simpson;Barbara J. Lence

  • Parametric study for an ant algorithm applied to water distribution system optimization

    A.C. Zecchin;A.R. Simpson;H.R. Maier;J.B. Nixon

  • Frequency Domain Analysis for Detecting Pipeline Leaks

    Pedro J. Lee;John P. Vítkovský;Martin F. Lambert;Angus R. Simpson

  • Application of two ant colony optimisation algorithms to water distribution system optimisation

    Aaron C. Zecchin;Angus R. Simpson;Holger R. Maier;Michael Leonard

  • Competent Genetic-Evolutionary Optimization of Water Distribution Systems

    Z. Y. Wu;A. R. Simpson

  • Leak location using the pattern of the frequency response diagram in pipelines: a numerical study

    Pedro J. Lee;John P. Vítkovský;Martin F. Lambert;Angus R. Simpson

  • Experimental verification of the frequency response method for pipeline leak detection

    Pedro J. Lee;Martin F. Lambert;Angus R. Simpson;John P. Vítkovský

  • Parameters affecting water-hammer wave attenuation, shape and timing—Part 1: Mathematical tools

    Anton Bergant;Arris S. Tijsseling;John P. Vítkovský;Dídia I.C. Covas

  • Experimental Observation and Analysis of Inverse Transients for Pipeline Leak Detection

    John P. Vítkovský;Martin F. Lambert;Angus R. Simpson;James A. Liggett

  • Ant Colony Optimization Applied to Water Distribution System Design: Comparative Study of Five Algorithms

    Aaron C. Zecchin;Holger R. Maier;Angus R. Simpson;Michael Leonard

  • Systematic Evaluation of One-Dimensional Unsteady Friction Models in Simple Pipelines

    John P. Vítkovský;Anton Bergant;Angus R. Simpson;Martin F. Lambert

  • Pipeline column separation flow regimes

    Anton Bergant;Angus R. Simpson

  • Accounting for Greenhouse Gas Emissions in Multiobjective Genetic Algorithm Optimization of Water Distribution Systems

    Wenyan Wu;Angus R. Simpson;Holger R. Maier

  • Pipeline Break Detection Using Pressure Transient Monitoring

    Dalius Misiunas;John Vítkovský;Gustaf Olsson;Angus R Simpson

Frequent Co-Authors

Martin F. Lambert
Martin F. Lambert University of Adelaide
Aaron C. Zecchin
Aaron C. Zecchin University of Adelaide
Holger R. Maier
Holger R. Maier University of Adelaide
Graeme C. Dandy
Graeme C. Dandy University of Adelaide
Gustaf Olsson
Gustaf Olsson Lund University
Bryan W. Karney
Bryan W. Karney University of Toronto
Zoran Kapelan
Zoran Kapelan Delft University of Technology
Nesimi Ertugrul
Nesimi Ertugrul University of Adelaide
Timothy R. Cavagnaro
Timothy R. Cavagnaro University of Adelaide
Rachel A. Burton
Rachel A. Burton University of Adelaide

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