Comparison between Ramberg-Osgood and Hardin-Drnevich soil models in Midas GTS NX

Ahmad, Majd; Ray, Richard P.

doi:10.1556/606.2021.00353

Cited by 9 publications

(12 citation statements)

References 11 publications

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“…To address this mixture of foundation styles, we calculate a bedrock model (Figure 3) as well as multiple time‐dependent linear and nonlinear soil material models from three classes: (a) Modified Cam‐Clay models (Roscoe & Burland, 1968), (b) nonlinear elastic models (Hardin & Drnevich, 1972), and (c) linear elastic soil models. For each class, models are run with 25 different parameter sets for Modified Cam‐Clay (Devi, 2013; El Kamash & Han, 2014; Heidari et al., 2020; Indraratna & Rujikiatkamjorn, 2004; Kodaka et al., 2013; Liu & Carter, 2002; Rujikiatkamjorn & Indraratna, 2006; Sheng et al., 2013; Zhang et al., 2021), the Hardin‐Drnevish model (Ahmadp & Ray, 2020; Reid et al., 2004), and elastic soils (Kézdi, 1974; Obrzud & Truty, 2018; Prat et al., 1995) to capture a broad range of soil behaviors.…”

Section: Modeling Subsidence From the Urban Load In New York Citymentioning

confidence: 99%

The Weight of New York City: Possible Contributions to Subsidence From Anthropogenic Sources

Parsons

Wei

et al. 2023

Earth's Future

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New York City faces accelerating inundation risk from sea level rise, subsidence, and increasing storm intensity from natural and anthropogenic causes. Here we calculate a previously unquantified contribution to subsidence from the cumulative mass and downward pressure exerted by the built environment of the city. We enforce that load distribution in a multiphysics finite element model to calculate expected subsidence. Complex surface geology requires multiple rheological soil models to be applied; clay rich soils and artificial fill are calculated to have the highest post‐construction subsidence as compared with more elastic soils. Minimum and maximum calculated building subsidence ranges from 0 to 600 mm depending on soil/rock physical parameters and foundation modes. We compare modeled subsidence and surface geology to observed subsidence rates from satellite data (Interferometric Synthetic Aperture Radar and Global Positioning System). The comparison is complicated because the urban load has accumulated across a much longer period than measured subsidence rates, and there are multiple causes of subsidence. Geodetic measurements show a mean subsidence rate of 1–2 mm/year across the city that is consistent with regional post‐glacial deformation, though we find some areas of significantly greater subsidence rates. Some of this deformation is consistent with internal consolidation of artificial fill and other soft sediment that may be exacerbated by recent building loads, though there are many possible causes. New York is emblematic of growing coastal cities all over the world that are observed to be subsiding (Wu et al., 2022, https://doi.org/10.1029/2022GL098477), meaning there is a shared global challenge of mitigation against a growing inundation hazard.

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Section: Modeling Subsidence From the Urban Load In New York Citymentioning

confidence: 99%

The Weight of New York City: Possible Contributions to Subsidence From Anthropogenic Sources

Parsons

Wei

et al. 2023

Earth's Future

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“…For Model 3, Midas GTS NX is used to perform the Non-Linear Dynamic Analysis (DNL) of the complete structure also considering a Time-History Analysis of the three previously selected seismic records. Licenses and technical support for Midas Gen and Midas GTS NX were provided by Midas Latin America [4].…”

Section: Methodsmentioning

confidence: 99%

“…According to the geotechnical study the water table was detected at a depth of 7.50 m. In Model 2, Young's modulus obtained through correlations is used to simulate the vertical coefficient (Kv) at a depth of 16m where the bottom slab is located. In Model 3, the constitutive model used to represent the linear physical-mechanical and elastic-plastic properties of the soil is the Hardening Soil model, since it is a versatile model for soft and stiff soils [4]. The deformations are a function of soil stiffness and applied loads.…”

Section: Geotechnical Componentmentioning

confidence: 99%

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Seismic analysis of buildings with basements

Verdugo,

Dávila

2024

MATEC Web Conf.

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This research work analyzes how seismic waves affect buildings with basements that are usually studied independently: In surface structures the inertial forces originated by the movement of their base and in subway structures the deformations due to ground motion are considered. The building located in the city of Quito with twelve elevated floors and five subfloors is studied using nonlinear finite element modeling, considering that the subsoil depends on seismic excitations in a dynamic soil-basement-structure set, for which it is modeled together with its geotechnical components. The superstructure is integrated to the infrastructure and a time-history analysis is included with the most representative earthquakes can affect the building. The present investigation has three basic components: seismic, geotechnical, and structural, which are merged by means of specialized 3D structural engineering programs. In the seismic component, local and regional information about tectonic faults within Ecuador is collected; the building is then located on a seismic risk map and the magnitudes, types, and other parameters of the site where the building is located are determined. Using the results of the Earthquake Risk Assessment Project for the city of Quito (TREQ) and the Pacific Earthquake Engineering Research Center (PEER) database, three relevant seismic events are chosen for the time-history analysis that meet the seismic risk data for the building. For the geotechnical soil component, the geotechnical parameters of the original design of the building foundation, stratigraphy, and characteristics of soil solids, among others, are used. The structural component considers the type of material, geometry, dimensions, joints between elements and others of the original design for both basements and superstructure. The connection of these three components is carried out using Midas Gen and Midas GTS NX. The results of deformations as a function of time are compared with similar standards, studies, and investigations.

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“…The same FEM model mentioned before was used in a previous study (Ahmad and Ray 2021a) to prove the ability of the Ramberg-Osgood (RO) model to accurately simulate the shear stress-shear strain curves obtained from cyclic and irregular TOSS tests.…”

mentioning

confidence: 99%

Modelling of the Torsional Simple Shear Test with Randomized Tresca Model Properties in Midas GTS NX

Ahmad

Ray

2023

Geotech Geol Eng

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The dynamic properties of soil obtained from the torsional simple shear test (TOSS) are assumed to be uniform throughout the specimen. For some exceptional soils, this may hold true, but for the most majority of soils that we examine, it is obviously not the case, and this level of non-uniformity depends on the conditions in which the soil was formed. In this paper, we discuss a method of modelling inherently non-uniform soil specimens by representing them with elements that have an elasto-plastic simple Tresca material model with different properties (Elastic young modulus and yield stresses). The combination of properties that can simulate the nonlinear behaviour of the soil is found and calibrated using a model of the TOSS test built in the finite element software Midas GTS NX. Furthermore, the influence of rigid inclusions in the soil is studied and the results show an increase in stiffness with the increasing percentage of inclusion in the soil.

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Comparison between Ramberg-Osgood and Hardin-Drnevich soil models in Midas GTS NX

Cited by 9 publications

References 11 publications

The Weight of New York City: Possible Contributions to Subsidence From Anthropogenic Sources

The Weight of New York City: Possible Contributions to Subsidence From Anthropogenic Sources

Seismic analysis of buildings with basements

Modelling of the Torsional Simple Shear Test with Randomized Tresca Model Properties in Midas GTS NX

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