R
Rodrigo Salgado
Researcher at Purdue University
Publications - 242
Citations - 8757
Rodrigo Salgado is an academic researcher from Purdue University. The author has contributed to research in topics: Pile & Cone penetration test. The author has an hindex of 45, co-authored 230 publications receiving 7332 citations. Previous affiliations of Rodrigo Salgado include Yonsei University & Colorado State University.
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Stability Analysis of Complex Soil Slopes using Limit Analysis
TL;DR: In this article, finite element models are used to construct both statically admissible stress fields and kinematically admissible velocity fields for upper-bound analysis of soil slopes, and the theoretical basis and procedure for limit analysis of such slopes are presented.
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A Continuum-Based Model for Analysis of Laterally Loaded Piles in Layered Soils
TL;DR: In this paper, the authors developed an analysis to calculate the response of laterally loaded piles in multilayered elastic media, where the displacement fields in the analysis were taken to be the products of independent functions that vary in the vertical, radial and circumferential directions.
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Assessment of Variable Uncertainties for Reliability-Based Design of Foundations
TL;DR: In this article, a framework for the objective assessment of resistance factors is proposed, based on reliability analysis, and Probability density functions (PDFs), representing design variable uncertainties, are required for analysis.
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Estimation of Bearing Capacity of Circular Footings on Sands Based on Cone Penetration Test
TL;DR: In this paper, the estimation of limit unit bearing capacity of axially loaded circular footings on sands based on cone penetration test cone resistance qc is examined, and the values of normalized allowable unit load qb,all / qc at a settlement of 25 mm for various soil and stress states are also provided.
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Effect of surface roughness on the shaft resistance of non-displacement piles embedded in sand
TL;DR: In this paper, the effects of pile surface roughness and soil density on the response of the soil during loading of the model piles were studied by analysing sequences of digital images using the digital image correlation technique.