Effect of soil depth on inelastic seismic response of structures

Adhikary, Shrabony; Singh, Yogendra; Paul, Dilip K.

doi:10.1016/j.soildyn.2014.01.017

Cited by 17 publications

(5 citation statements)

References 21 publications

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“…A shallow pad foundation of length 4 m and width 2 m is assumed. As per Adhikary et al [ 84 ] and Prendergast and Gavin [ 92 ], a stiffness of 1.72 × 10 6 N/m can be expected for loose sand, with 3.44 × 10 6 N/m for medium-dense sand. The calculated stiffness provided by the springs under each pier in the test structure lies between these two and is assumed to be the equivalent of a founding on loose-to-medium-dense uniform sand in a comparable full-scale bridge.…”

Section: Laboratory Testingmentioning

confidence: 68%

“…These rest on piers, each with an associated mass and stiffness, and consisting of a single DOF in the vertical direction. The vertical stiffness provided by a shallow pad foundation is modelled as a spring under each pier, values of which were obtained based on those of Adhikary et al [ 84 ] and adjusted as proposed by Micu et al [ 85 ]. The start and the end of the bridge rest on undeformable abutments (on the assumption that these are not in the water).…”

Section: Numerical Modellingmentioning

confidence: 99%

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Condition Monitoring of Railway Bridges Using Vehicle Pitch to Detect Scour

McGeown,

Hester,

OBrien

et al. 2024

Sensors

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This study proposes the new condition monitoring concept of using features in the measured rotation, or ‘pitch’ signal, of a crossing vehicle as an indicator of the presence of foundation scour in a bridge. The concept is explored through two-dimensional vehicle–bridge interaction modelling, with a reduction in stiffness under a pier used to represent the effects of scour. A train consisting of three 10-degree-of-freedom carriages cross the model on a profiled train track, each train varying slightly in terms of mass and velocity. An analysis of the pitch of the train carriages can clearly identify when scour is present. The concept is further tested in a scaled laboratory experiment consisting of a tractor–trailer crossing a four-span simply supported bridge on piers. The foundation support is represented by four springs under each pier, which can be replaced with springs of a reduced stiffness to mimic the effect of scour. The laboratory model also consistently shows a divergence in vehicle pitch between healthy and scoured bridge states.

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Section: Laboratory Testingmentioning

confidence: 68%

Section: Numerical Modellingmentioning

confidence: 99%

Condition Monitoring of Railway Bridges Using Vehicle Pitch to Detect Scour

McGeown,

Hester,

OBrien

et al. 2024

Sensors

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show abstract

“…For these sites, it is usually recommended to conduct a site-specific response spectrum analysis using geotechnical data for the selected soil profiles (e.g., El-Emam et al 2015). Moreover, a large number of studies show the importance of soil depth in evaluation of site amplification (Hadjian 2002;Lee and Trifunac 2010;Kamatchi et al 2010;Hashash 2011;Zhao and Xu 2013;Adhikary et al 2014).…”

Section: Hazard Spectrum Estimation and Its Characteristicsmentioning

confidence: 99%

Development of short return period spectra for the regions with high to moderate seismicity: an example in Iran

Soghrat

Ziyaeifar

2019

J Seismol

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Response spectrum is considered one of the main tools in seismic design of structural systems. However, for short return period earthquakes, such spectra have not been studied in details. These spectra are needed, particularly, in the construction industry for determination of the required level of strength and stiffness for the structures during construction. In this work, using probabilistic seismic hazard analysis, short return period spectra for two geographical regions with high and moderate level of seismic intensities are developed. According to the results of this study, large distant earthquakes have significant contribution in defining the amplitude and frequency contents of short return period spectra in the regions with moderate seismicity and soft soils. The results also show that, in the regions with moderate seismicity, such spectra are about 30% wider in the frequency range of short and middle height buildings if they compare with those developed for high seismicity regions.

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“…To mitigate the effects of varying vehicle velocities and masses on the resulting bridge accelerations, an average bridge acceleration is obtained at each point of the bridge from a statistical population of traversing vehicles (by converting the time-varying bridge response to a spatially-varying response along the structure). This approach is tested using a four-span numerical model of a bridge (Cantero et al, 2010;Gonz alez, 2010), where piers are considered as sprung masses (Fitzgerald et al, 2019a(Fitzgerald et al, , 2019b, and foundations are modelled using vertical springs and dashpots for foundation stiffness and damping, respectively (Adhikary et al, 2014;Buckley et al, 2018;Ju, 2013;Mylonakis et al, 2006).…”

Section: Introductionmentioning

confidence: 99%