Optimization of soil parameters in multiple layers of ground structure

dc.contributor.authorSenthilkumar, R.T.
dc.date.accessioned2026-02-06T06:38:43Z
dc.date.issued2017
dc.description.abstractThis paper proposes an optimization methodology to estimate the parameters of multilayer earth structure by using the hybrid genetic algorithm and particle swarm optimization. By using four wire Wenner method on the ground is to acquire the experimental apparent resistivity curve. With the measured experimental apparent resistivity, can compute the theoretical apparent resistivity curve and estimate the soil parameters such as a number of layers, thickness of each layer (Nth layer thickness is infinity) and its resistivity. The representation of unknown soil is determined by comparing the closeness of experimental apparent resistivity curve with the theoretical optimized apparent resistivity. © 2017 IEEE.
dc.identifier.citationAsia-Pacific Power and Energy Engineering Conference, APPEEC, 2017, Vol.2017-November, , p. 1-5
dc.identifier.issn21574839
dc.identifier.urihttps://doi.org/10.1109/APPEEC.2017.8308979
dc.identifier.urihttps://idr.nitk.ac.in/handle/123456789/31826
dc.publisherIEEE Computer Society
dc.subjectGenetic algorithm
dc.subjectGrounding
dc.subjectHorizontal multilayer
dc.subjectParticle swarm optimization
dc.subjectWenner method
dc.titleOptimization of soil parameters in multiple layers of ground structure

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