2018
DOI: 10.1680/jphmg.17.00024
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Static and dynamic rocking stiffness of shallow footings on sand: centrifuge modelling

Abstract: Small-strain foundation response has mostly been studied analytically, with limited experimental verification against 1g physical model tests. This paper revisits the problem of small-strain foundation response, conducting a series of centrifuge model tests, aiming to eliminate the limitations of 1g testing. A centrifuge modelling technique is developed, combining static pushover and dynamic impulse testing for similar systems. To allow for derivation of meaningful insights, a novel procedure for in-flight mea… Show more

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Cited by 9 publications
(6 citation statements)
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“…The SASW method is based on the dispersion of Rayleigh wave, of which the velocity is reasonably close to that of shear wave for the range of Poisson's ratio expected in this study. This method was adopted by Murillo et al 55 and Taeseri et al 56 to assess shear wave velocity and shear modulus of soils near the surface in centrifuge model.…”
Section: Overview Of Experimental Programmementioning
confidence: 99%
“…The SASW method is based on the dispersion of Rayleigh wave, of which the velocity is reasonably close to that of shear wave for the range of Poisson's ratio expected in this study. This method was adopted by Murillo et al 55 and Taeseri et al 56 to assess shear wave velocity and shear modulus of soils near the surface in centrifuge model.…”
Section: Overview Of Experimental Programmementioning
confidence: 99%
“…The physical models of SDOF systems are commonly excited by shaking tables or actuators, fixed or hinged, to the model [8][9][10][11][12]17]. The actuator applies impact, harmonic, or random dynamic loads.…”
Section: Discussionmentioning
confidence: 99%
“…Previous research used multiple displacement measurement systems for the SDOF models, as follows: miniature uniaxial accelerometers [9], potentiometers [10,12], vibration meters [41], wire and laser transducers [11], particle image velocimetry-PIV [17], high-speed cameras [8], and image processing [10]. The authors of this work developed a procedure to measure displacements based on computer vision algorithms, following the trend shown in the latest research.…”
Section: Discussionmentioning
confidence: 99%
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