Inelastic analysis of beams on two-parameter tensionless elastoplastic foundation

Sapountzakis, E. J.; Kampitsis, A. E.

doi:10.1016/j.engstruct.2012.09.012

Cited by 15 publications

(3 citation statements)

References 30 publications

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“…The results are in good agreement with those obtained by Ayoub (2003). In fact, it is observed from this table that the maximum deflection is approximately 0.01% compared to the one obtained by Ayoub (2003) and Sapountzakis and Kampitsis (2013). Moreover, the numerical accuracy is satisfactory when the beam is discretized with a large number of elements (i=12).…”

Section: Resultssupporting

confidence: 84%

“…Both deterministic and probabilistic analyses have been carried out, taking into account the characteristics of the tensionless soil, with the aim of obtaining an optimal result for the beam's response. The developed model is evaluated through comparisons between the obtained results and those from the literature (Ayoub, 2003;Sapountzakis & Kampitsis, 2013).…”

Section: Methodsmentioning

confidence: 99%

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The effects of nonlinear soil spatial variability on the nonlinear beam response

SEGUINI,

Djamel

2024

HCMCOUJS - Advances in Computational Structures

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The nonlinear analysis of a beam resting on nonlinear random tensionless soil was studied with the aim of quantifying the influence of the spatial variability of the tension soil characteristics on the behavior of the beam and illustrating the importance of the geometric nonlinear analysis of a beam. The soil–structure interaction mechanism is taken into account where the soil is modeled as nonlinear. Due to large deflections and moderate rotations of the beam, the Von-Kàrman type nonlinearity based on the finite element formulation of nonlinear beam response is adopted and the interfacial shearing resistance along the beam is taken into account. To assess the probabilistic nonlinear behavior of the beam resting on nonlinear random soil, a Monte Carlo approach was used and the response of the beam was statistically analyzed for different beam and soil parameters. The equation of motion is solved using the Newton-Raphson iterative method which is implemented by using a Matlab software. The results indicate that the probabilistic approach of the soil and the geometric nonlinearity of the beam serve a major role in the evaluations of the beam response (of the real response of the buried beam).

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Section: Resultssupporting

confidence: 84%

Section: Methodsmentioning

confidence: 99%

The effects of nonlinear soil spatial variability on the nonlinear beam response

SEGUINI,

Djamel

2024

HCMCOUJS - Advances in Computational Structures

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“…The pipelines are the innovative mean of energy and water transport, for that reason the study of the interaction soil-pipeline has been very attractive. In fact, a range of studies has been performed on the interaction soil-structure [1,2]. The influence of the soil's nonlinear behaviour on different types of structures has been also studied [3,4].…”

Section: Introductionmentioning

confidence: 99%

Machine Learning for Predicting Pipeline Displacements Based on Soil Rigidity

Seguini

Khatir

Nedjar

et al. 2022

Proceedings of the 10th International Conference on Fracture Fatigue and Wear

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This study investigates the impact of the soil rigidity on the mechanical behaviour for linear and nonlinear pipelines. The work is based on the results of a series of mechanical finite element analyses based on the VanMarcke and artificial neural network (ANN). The numerical model is validated based on the literature. Different simulations have been generated to obtain data response of the pipe based on displacement. The predicted results using ANN are compared with VanMarcke to prove the effectiveness and the importance of the probabilistic analysis. The analysis proves that the variation of the coefficient of subgrade reaction can induce a significant displacement of the pipe. The results prove that ANN serves a major role in the evolution of the real displacement of the pipeline and allows us to obtain more precise and interesting results based on both linear and nonlinear cases.

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Experimental and simulation analysis of RCA and para-wood ash as partial substitutes for NCA and cement in recycled aggregate concrete

Sae-Long,

Chompoorat,

Limkatanyu

et al. 2024

Case Studies in Construction Materials

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Inelastic analysis of beams on two-parameter tensionless elastoplastic foundation

Cited by 15 publications

References 30 publications

The effects of nonlinear soil spatial variability on the nonlinear beam response

The effects of nonlinear soil spatial variability on the nonlinear beam response

Machine Learning for Predicting Pipeline Displacements Based on Soil Rigidity

Experimental and simulation analysis of RCA and para-wood ash as partial substitutes for NCA and cement in recycled aggregate concrete

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