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Título
Geophysical and in situ testing applied to site characterisation for nonengineered structures in developing regions
Publicado en
Proceedings of the 5th International Conference on Geotechnical and Geophysical Site Characterisation, V. 2, p. 1015-1020
Editorial
Australian Geomechanics Society
Fecha de publicación
2016
ISBN
978-09-94626-12-7
Descripción
Trabajo presentado para el congreso Geotechnical and Geophysical Site Characterisation 5 de 2016
Resumen
Residential dwellings have been estimated to represent more than three quarters of the building
stock around the globe, most of which are not believed to have been properly engineered (that is, designed by
architects or engineers and constructed by skilful workers with adequate materials). Narrowing the scope to
developing countries, over a 90 percent of the population is deemed to be living, working or studying in nonengineered buildings. In earthquake-prone regions, these weak structures can become deathtraps for their occupants, forlornly adding to the casualty lists of recent and past seismic events. Thus, improving seismic resilience for vernacular housing has increasingly become a main theme for researchers. Also, other geotechnical
issues, such as subsidences, slope instabilities, excessive settlement on soft soils, groundwater, inadequate designs, etc., are responsible for substantial risk of structural damages, ranging from small structural pathologies
to major disasters. One of the keys to develop new safe and efficient foundation designs, or to retrofit existing
ones, is to make available portable and low-budget ground probing techniques. This document will describe
some of the most feasible in situ devices available, as well as discuss how seismic and electric methods can
be used as portable and powerful tools to characterise both the strength and the stiffness of soils thanks to recent developments in stablishing the relationship between geophysical results and traditional geotechnical parameters (such as the SPT, the angle of internal friction, shear strength, etc.), with the help of statistical methods and dimensional analysis techniques.
Materia
Geología
Geology
Ingeniería
Engineering
Versión del editor