Mapeamento de suscetibilidade à liquefação de solos de Imbituba-SC a partir de interferências sísmicas: uma proposta metodológica aplicando a lógica fuzzy

• Autor(a) principal: Machado, Vinícius Barreto
• Data de Publicação: 2017
• Outros Autores: Ruiz Filho, Raul
• Tipo de documento: Trabalho de conclusão de curso
• Idioma: por
• Título da fonte: Repositório Universitário da Ânima (RUNA)
• Texto Completo: https://repositorio.animaeducacao.com.br/handle/ANIMA/4328
• topic: Análise de suscetibilidade à liquefação de solos; Lógica fuzzy; Gerenciamento de risco de desastres

Soil liquefaction is a phenomenon that arises from the loss of stability in saturated soils. Especially, when poorly graded sandy soils are subjected to sudden increases of stresses (e.g. seismic events). That makes the soil to behave as a viscous liquid, and can trigger to large-scale environmental catastrophes depending on the stability and preparation of the structures established above the liquefied layer. As an example, it can be highlighted the partial destruction of the Port of Kobe, Japan (1995), caused by the occurrence of liquefaction events that caused one of the biggest economic deficits from natural disaster ever registered (U$132Bi). Given the existence of seismic historicity near to the port city of Imbituba, located in the south coast of Santa Catarina, and the presence of geotechnical characteristics susceptible to soil liquefaction, it was essential that detailed scientific verifications on the seismic behavior of the regional substrate were conducted as to support the prevention and mitigation of liquefaction-related risks and hazards. The spatialization of variable correlations through data overlapping using Geographic Information Systems was viable after exhaustive bibliographic studies on public archives and scientific articles and multi-criteria statistical treatment (Fuzzy Logic) on the obtained data. As result, a soil liquefaction susceptibility map of the analyzed locality was obtained permitting the delimitation of major-risk areas to improve the efficacy and precision of disaster risk management actions.