Produção acadêmica-PPGPLUR

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https://repositorio.univap.br/handle/123456789/92

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Navegando Produção acadêmica-PPGPLUR por Autor "Bastos, Nélio José"

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    Obtaining 2D soil resistance profiles from the integration of electrical resistivity data and Standard Penetration Test (SPT) and Light Dynamic Penetrometer (DPL) resistance tests - applications in mass movements studies
    (Scientific Research Publishing) Bortolozo, Cassiano Antonio; Mendes, Tatiana Sussel Gonçalves; Motta, Mariana Ferreira Benessiuti; Simões, Silvio Jorge Coelho; Pryer, Tristan; Metodiev, Daniel; Andrade, Marcio Roberto Magalhães de; Moraes, Maiconn Vinicius de; Paula, Danielle Silva de; Bastos, Nélio José; Pampuch, Luana Albertani; Mendes, Rodolfo Moreda; Moraes, Marcio Augusto Ernesto de
    In Brazil and various regions globally, the initiation of landslides is frequently associated with rainfall; yet the spatial arrangement of geological structures and stratification considerably influences landslide occurrences. The multifaceted nature of these influences makes the surveillance of mass movements a highly intricate task, requiring an understanding of numerous interdependent variables. Recent years have seen an emergence in scholarly research aimed at integrating geophysical and geotechnical methodologies. The conjoint examination of geophysical and geotechnical data offers an enhanced perspective into subsurface structures. Within this work, a methodology is proposed for the synchronous analysis of electrical resistivity geophysical data and geotechnical data, specifically those extracted from the Light Dynamic Penetrometer (DPL) and Standard Penetration Test (SPT). This study involved a linear fitting process to correlate resistivity with N10/SPT N-values from DPL/SPT soundings, culminating in a 2D profile of N10/SPT N-values predicated on electrical profiles. The findings of this research furnish invaluable insights into slope stability by allowing for a two-dimensional representation of penetration resistance properties. Through the synthesis of geophysical and geotechnical data, this project aims to augment the comprehension of subsurface conditions, with potential implications for refining landslide risk evaluations. This endeavor offers insight into the formulation of more effective and precise slope management protocols and disaster prevention strategies.