Experimental and numerical investigation of footing behaviour on multi-layered rubber-reinforced soil

Tafreshi, S.N. Moghaddas; Darabi, N. Joz; Mehrjardi, Gholamhosein Tavakoli; Dawson, Andrew

doi:10.1080/19648189.2016.1262288

Cited by 25 publications

(6 citation statements)

References 27 publications

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“…Rubber has strong exibility and energy absorption, making it useful for isolation pads, embankment support, and other applications. Plate loading tests by Moghaddas Tafreshi et al, [27] included gradual cyclic loading to a sandy soil bed with several rubber and granular soil mixture layers in a large-scale model. By dispersing weight, RSM layers alleviate vertical stress from foundation depth.…”

Section: -Introductionmentioning

confidence: 99%

The Effect of Sand-Crumb Rubber Mixture Treatment on the Seismic Response of a Low-Rise Building Located on Liquefiable Soil

Tareghian,

Baradaran,

Akhtarpour

2024

Preprint

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One of the most effective measures to reduce earthquake risks in high-seismic areas is to reduce the input forces caused by earthquakes to the structure. The properties of rubber materials in geotechnical projects are energy absorption, dynamic deformation change as well as damping of latent energy in loads, high shear modulus and damping ratio, easy access and their economic nature. In this research, with finite difference modeling, the effect of using sand- crumb rubber layer on the seismic behavior of the model has been obtained. In the following, by changing the thickness and depth of the sand-crumb rubber layer, the seismic behavior such as floor displacement and internal forces have been investigated. This research numerically models liquefaction (UBCsand with FLAC) and predicts the effects of the sand-crumb rubber layer of different thicknesses under the foundation and evaluates the structure's damage and settlement interacting with the soil by validating the numerical model with the laboratory model and calibrating it with different ratios. The results show that liquefaction, pore water pressure excess ratio and soil settlement will be significantly reduced with the presence of sand-crumb rubber layer, and also the base shear has shown an increase, but the structural damage is reduced.

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Section: -Introductionmentioning

confidence: 99%

The Effect of Sand-Crumb Rubber Mixture Treatment on the Seismic Response of a Low-Rise Building Located on Liquefiable Soil

Tareghian,

Baradaran,

Akhtarpour

2024

Preprint

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“…However, the available conventional methods such as cement or lime stabilization or fiber reinforcement consume a lot of time and money, which is why several studies have demonstrated that its use is an economic, ecological, and easy-to-construct alternative to traditional techniques. [5], [7]- [11].…”

Section: Introductionmentioning

confidence: 99%

Influence of geogrid arrangement on the bearing capacity of a granular soil on physical models and its comparison to theoretical equations

Albuja-Sánchez,

Cóndor,

Oñate

et al. 2023

Preprint

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This study presents an analysis of the influence of geogrid distribution on the bearing capacity of granular soils. For this purpose, the bearing capacity is compared based on 3 arrangements, uniform, trapezoidal, and inverted trapezoidal, with 2 types of geogrids, biaxial and multiaxial, under the application of an axial load. The tests performed were analyzed in three forms in which the trapezoidal distribution was the best arrangement for biaxial and multiaxial geogrids. The first analysis considers the peaks for each stress-strain curve, the trapezoidal distribution increases the bearing capacity by 36% and 33% for biaxial and multiaxial geogrids, respectively. The second analysis considers an s/B ratio of 10%, which had an average increment of 30.5% for the two types of geogrids. The third analysis considers a 20% of s/B ratio, which showed a 56% and 81% of BCR increase for biaxial and multiaxial geogrids respectively. From an economical and environmental analysis, the trapezoidal distribution saves 7% of material compared to the traditional uniform distribution. The comparison between physical and numerical models with theoretical equations is presented.

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“…Kazi et al [19] experimentally observed the behavior of shallow footings resting on a sand layer provided with geotextile. Tafreshi et al [20] used both lab tests and FEM models to investigate the behavior of shallow footing resting on multi-layered rubber-reinforced soil. Finally, Mahdi et al [21] used the same techniques to estimate the lateral subgrade reaction of multi-layered soil.…”

Section: Introductionmentioning

confidence: 99%

Using FEM-AI Technique to Predict the Behavior of Strip Footing Rested on Undrained Clay Layer Improved with Replacement and Geo-Grid

et al. 2023

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The objective of this research is to predict how strip footings behave when rested on an undrained clay layer enhanced using a top replacement layer with and without a geo-grid. The study was conducted in several stages, including collecting load-settlement curves from "Finite Element Method" (FEM) models with different clay strengths, replacement thicknesses, and axial stiffnesses of the geo-grid. These curves were then idealized using a hyperbolic model, and the idealized hyperbolic parameters were predicted using three different AI techniques. According to the numerical results, the ultimate bearing pressure of pure clay models was found to be five times the undrained strength of the clay. These findings align with most established empirical bearing capacity formulas for undrained clays. The results also suggest that the initial modulus of the subgrade reaction is solely influenced by replacement thickness. Additionally, the enhancement in subgrade reaction due to the replacement layer decreases with increasing clay strength. However, the percentage of improvement decreased with higher clay strength. Moreover, the impact of the geo-grid was significant for settlement beyond 50mm, and it was more impactful in soft clay than in stiff clay. Finally, the research proposed predictive models employing the "Genetic Programming" (GP), "Artificial Neural Networks" (ANN), and "Evolutionary Polynomial Regression" (EPR) techniques, and these models exhibited an accuracy of about 88%. Doi: 10.28991/CEJ-2023-09-05-014 Full Text: PDF

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Experimental and numerical investigation of footing behaviour on multi-layered rubber-reinforced soil

Cited by 25 publications

References 27 publications

The Effect of Sand-Crumb Rubber Mixture Treatment on the Seismic Response of a Low-Rise Building Located on Liquefiable Soil

The Effect of Sand-Crumb Rubber Mixture Treatment on the Seismic Response of a Low-Rise Building Located on Liquefiable Soil

Influence of geogrid arrangement on the bearing capacity of a granular soil on physical models and its comparison to theoretical equations

Using FEM-AI Technique to Predict the Behavior of Strip Footing Rested on Undrained Clay Layer Improved with Replacement and Geo-Grid

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