Stress distribution in reinforced railway structures

Esen, Ahmet; Woodward, Peter Keith; Laghrouche, Omar; Connolly, David

doi:10.1016/j.trgeo.2021.100699

Cited by 17 publications

(8 citation statements)

References 44 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…According to the Unified Soil Classification System (UCSC), which categorises it as a CL type, the chosen combination was found to have qualities that are equivalent to those of the majority of locally accessible naturally formed clays in the majority of India. It also illustrates clay barriers used in landfills' fine-grained soil bandwidth features [16]. It was discovered that the clay barrier, which is damp compacted at OMC+5%, has a comparable dry unit weight and shear strength of between 30 and 40 kN/m 2 .…”

Section: Materials Properties Of Model Clay Barriermentioning

confidence: 99%

See 1 more Smart Citation

Performance of Artificial Neural Network and Modified Gravitational Search Algorithm Models to Predict Vibration Response of Geocell Reinforced Based Weak Sand

2023

Data Analytics and Artificial Intelligence

View full text Add to dashboard Cite

The use of a fast evolving artificial intelligence technology (AIT) to forecast the vibration response of maritime soil based on geocells is explored in this research. The vibration response is represented by an indicator called peak particle velocity (PPV). For the purpose of predicting PPV, the artificial intelligence techniques Artificial Neural Network (ANN) and Modified Gravitational Search Algorithm (MGSA) are employed. To create the dataset for the model, a number of field vibration tests were first performed over the geocell-reinforced beds. PPV variation was investigated by varying the test variables—footing embedment, dynamic load, infill material modulus, width, and depth of geocell mattress placement—during the test performed. The various statistical indicators were determined in order to evaluate the prediction performance of a constructed model. Plate load results on geocell-reinforced foundation beds have been used to validate the proposed hybrid ANN-MGSA model. High accuracy and consistency were found when the findings of the ANN-EHO, JSA, MOA, and RNN method were compared, particularly at predicted and actual resolution levels. A parametric sensitivity has also been examined in order to better understand the behaviour of geocell-reinforced structures

show abstract

Section: Materials Properties Of Model Clay Barriermentioning

confidence: 99%

“…The greater the model's derived predictive performance, the closer MAPE is to 0. Equation represents the MAPE definition(16).…”

mentioning

confidence: 99%

Performance of Artificial Neural Network and Modified Gravitational Search Algorithm Models to Predict Vibration Response of Geocell Reinforced Based Weak Sand

2023

Data Analytics and Artificial Intelligence

View full text Add to dashboard Cite

show abstract

“…The prefabricated slabs are delivered to a field and positioned 4 mm above the cast-in concrete layer and are coupled via a cementitious mortar poured in between. A section of a Max-Bögl slab track is used as part of the experimental investigation linked to the current research [11,12].…”

Section: Introductionmentioning

confidence: 99%

Numerical analysis of high-speed railway slab tracks using calibrated and validated 3D time-domain modelling

Esen,

Laghrouche,

Woodward

et al. 2023

Rail. Eng. Science

Self Cite

View full text Add to dashboard Cite

Concrete slabs are widely used in modern railways to increase the inherent resilient quality of the tracks, provide safe and smooth rides, and reduce the maintenance frequency. In this paper, the elastic performance of a novel slab trackform for high-speed railways is investigated using three-dimensional finite element modelling in Abaqus. It is then compared to the performance of a ballasted track. First, slab and ballasted track models are developed to replicate the full-scale testing of track sections. Once the models are calibrated with the experimental results, the novel slab model is developed and compared against the calibrated slab track results. The slab and ballasted track models are then extended to create linear dynamic models, considering the track geodynamics, and simulating train passages at various speeds, for which the Ledsgård documented case was used to validate the models. Trains travelling at low and high speeds are analysed to investigate the track deflections and the wave propagation in the soil, considering the issues associated with critical speeds. Various train loading methods are discussed, and the most practical approach is retained and described. Moreover, correlations are made between the geotechnical parameters of modern high-speed rail and conventional standards. It is found that considering the same ground condition, the slab track deflections are considerably smaller than those of the ballasted track at high speeds, while they show similar behaviour at low speeds.

show abstract

“…The reasons and the mechanism of the locked-in stress distribution are analyzed. The full-scale laboratory measurement of stress distribution at different track ballast bed and substructure locations is presented in Esen et al (2022) for evaluation of reinforced soil retaining wall system as an alternative to a conventional one. The results show that the reinforcement system reached its active state already self-standing under its self-weight and train loads that resulted in reduction of pressure in retaining walls.…”

Section: Introductionmentioning

confidence: 99%

Studying the Relation of the Residual Stresses in the Ballast Layer to the Elastic Wave Propagation

Sysyn

Gerber

Liu

et al. 2022

Transp. Infrastruct. Geotech.

View full text Add to dashboard Cite

During track construction or ballast bed maintenance, ballast layer compaction quality plays an essential role in the following track irregularity accumulation, its lifecycle, and maintenance costs. The ballast compaction process is characterized by its compaction and the accumulation of the stressed state. The elastic wave propagation methods are an effective way for the identification of the ballast bed compaction properties. The paper presents the theoretical and experimental studies of the ballast consolidation under the vibration loading of the sleeper. The practical laboratory study is given by the 1:2.5 scaled physical model of one sleeper and the corresponding ballast layer box. The measurements of ballast pressure and deformations under the vibration loading in the ballast layer and the photogrammetric recording of the ballast flow are carried out. The measurements demonstrate the accumulation of the residual stresses under the ballast layer. Furthermore, the measurements of elastic wave time of flight (ToF) using the shakers under the sleeper and acceleration sensors under the ballast show the substantial increase of the ToF velocities after the tamping process. Moreover, the distribution of the velocities along the sleeper is spatially inhomogeneous. The numeric simulation using the discrete element method (DEM) of the tamping and the testing processes proves the inhomogeneous wave propagation effect. The modeling shows that the main reason for the wave propagation inhomogeneity is the accumulated residual stress distribution and the minor one – the compaction density. Additionally, a method for identifying wave velocity spatial distribution is developed by wave tracing the inhomogeneous medium. The procedures allow ballast identification in the zones outside the shakers.

show abstract

Stress distribution in reinforced railway structures

Cited by 17 publications

References 44 publications

Performance of Artificial Neural Network and Modified Gravitational Search Algorithm Models to Predict Vibration Response of Geocell Reinforced Based Weak Sand

Performance of Artificial Neural Network and Modified Gravitational Search Algorithm Models to Predict Vibration Response of Geocell Reinforced Based Weak Sand

Numerical analysis of high-speed railway slab tracks using calibrated and validated 3D time-domain modelling

Studying the Relation of the Residual Stresses in the Ballast Layer to the Elastic Wave Propagation

Contact Info

Product

Resources

About