Design of Vertical Rod Buried in Two-Layer Soil under Lightning Return Strokes Using Adaptive Network Fuzzy Inference Approach

Articles in Press

Document Type : Original Article

Authors

Department of Electrical Engineering, Faculty of Engineering, Arak University, Arak, Iran

10.22052/scj.2024.253405.1176

Abstract

In this paper, an adaptive network fuzzy inference system (ANFIS) based on the Takagi-
Sugeno- Kang technique is used for predicting effective length of vertical rod buried in two-layer soils. The
rod is subjected to two typical lightning return stroke currents namely first and subsequent stroke currents.
To train the ANFIS approach, a number of input-output pairs are computed from the multi-conductor
transmission line method. The inputs are resistivity of the upper and lower layers, upper layer thickness and
rise time of the lightning current. After the training process is converged, prediction of effective length is
efficiently carried out in such soils. Also, comparative study with the horizontal electrode buried in twolayer
soils shows that in despite of single-layer soils, the effective length of vertical rod is considerably less
than that of horizontal electrode which is financially and practically of importance.

Keywords

Main Subjects

Soft Computing Journal

Articles in Press, Accepted Manuscript
Available Online from 21 November 2023

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History

  • Receive Date: 12 August 2023
  • Revise Date: 04 September 2023
  • Accept Date: 20 November 2023

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