Uplift Resistance of Buried Pipelines Enhanced by Geogrid

Faizi, Koohyar; Armaghani, Danial Jahed; Momeni, Ehsan; Назир, Рамли; Mohamad, Edy Tonnizam

doi:10.1007/s11204-014-9276-6

Cited by 17 publications

(4 citation statements)

References 13 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…This is believed to be caused by the sliding of the pipe connector. Faizi et al (2014) stated that the maximum uplift resistance of an embedded pipe is affected by the embedded depth [34]. However, in this study, it was found that the depth of embedding and the rafter spacing had no effect on the uplift resistance due to the sliding of the pipe connector.…”

Section: Results Of Field Test Of Uplift Resistance On Site a Site B ...mentioning

confidence: 60%

Advances in Agricultural Engineering Technologies and Application

2023

View full text Add to dashboard Cite

Pakistan). He holds a B.Sc. and an M.Sc. in Agricultural Engineering from the University of Agriculture Faisalabad (Pakistan) and a Ph.D. in Energy and Environmental Engineering from Kyushu University (Japan). He also conducted postdoctoral research at Kyushu University (Japan) and Simon Fraser University (Canada). Dr. Sultan has been recognized as one of the World's Top 2% Scientists (2023) by Stanford University/Elsevier. He also ranked No. 1 as a Scientist in Agricultural Engineering (Pakistan) according to the AD Scientific Index. He has published more than 300 articles in international journals, conferences, books, and book chapters. He has been a reviewer for more than 100 renowned journals and holds editor roles for 15 SCI journals.His research focuses on developing energy-efficient temperature and humidity control systems for agricultural applications including greenhouse, fruit/vegetable storage, livestock, and poultry applications. His research involves adsorption heat pumps, desiccant air-conditioning, evaporative cooling, Maisotsenko cycle, adsorption desalination, energy recovery ventilator, atmospheric water harvesting, and wastewater treatment.

show abstract

Section: Results Of Field Test Of Uplift Resistance On Site a Site B ...mentioning

confidence: 60%

Advances in Agricultural Engineering Technologies and Application

2023

View full text Add to dashboard Cite

show abstract

“…The purpose of numerical modelling work was to validate the experimental results and evaluated and compared with the theoretical data obtained from Abaqus 6.14 [6], [7], [19], [22], [25]. For this reason, a test (Direct tension, Brazilian splitting, and Flexural and Uniaxial compression) model similar to laboratory test in the diameter and thickness was made in Abaqus, as shown in the figure 7, using the compression test data and the elastic and plastic coefficients, to predict the tensile behavior of the materials.…”

Section: Numerical Work Resultsmentioning

confidence: 99%

Effect of Loading Speed on Direct and Indirect Tensile Strength of Rock and Concrete

Hayder¹,

Fahimifar²,

Khafaji³

2018

IJET

View full text Add to dashboard Cite

The trial work and numerical demonstrating were considered to examine the impacts of strain rate in the rigidity of rocks and cement in the research facility. Three trial of the exploratory work were considered, guide pressure test to get immediate elastic outcomes, Brazilian split test, and three-point flexural stacking test, to get roundabout ductile outcomes. While the numerical displaying utilizing limited component programming ABAQUS, to examined numerically the examples of 48 research facility tests. Immediate and roundabout rigidity tests, arranged two kinds of totals (0-6) mm and (0-12) mm for solid examples and shake tests (sedimentary and changeable) utilizing distinctive strain rates (10-2, 10-4, 10-5)s-1. The test and numerical outcomes demonstrated that strain rate articulated impacts on the elasticity of shake and cement and impacts are reliant upon the kind of shake and cement consolidated materials, and the broke surfaces of the considerable number of examples in all tests turned out to be more straightened with the expanding strain rate. The numerical and test results demonstrate a decent assention. The surmised (11%-18%) contrast between the tests results acquired through trial and numerical demonstrating might be ascribed to the disentanglement utilized in the numerical displaying.

show abstract

“…The pullout system comprised a rectangular test chamber, and a pulling arm system joined to an AC motor, which applied an uplift force to the buried pipes. More details regarding the testing methodology can be found in Faizi et al [8] and Armaghani et al [9] The small-scale tests investigated the effect of varying the pipe diameter, pipe burial depth, and geogrid geometry on the uplift resistance of buried pipes, so as to identify the most suitable input parameters affecting the peak uplift resistance of pipes. Table 2 lists the range parameter values investigated in the 44 small-scale uplift resistance tests performed in this research.…”

Section: Laboratory Test Proceduresmentioning

confidence: 99%

“…Under unfavorable loading combinations, the pipe's uplift resistance may be exceeded and may lead to excessive deformations [1][2][3][4][5] and significant disruptions. The peak uplift resistance of buried pipes is typically determined using a combination of laboratory, field tests and numerical modelling [1][2][3][4][5][6][7][8][9][10]. It has been shown that the peak uplift resistance of buried pipes depends on the density of the surrounding soil, although the relative pipe-to-soil movement required to mobilize the peak uplift resistance is not significantly affected by soil density [11].…”

Section: Introductionmentioning

confidence: 99%

The Effectiveness of Ensemble-Neural Network Techniques to Predict Peak Uplift Resistance of Buried Pipes in Reinforced Sand

Zeng¹,

Mamou

Mohammed

et al. 2021

Applied Sciences

View full text Add to dashboard Cite

Buried pipes are extensively used for oil transportation from offshore platforms. Under unfavorable loading combinations, the pipe’s uplift resistance may be exceeded, which may result in excessive deformations and significant disruptions. This paper presents findings from a series of small-scale tests performed on pipes buried in geogrid-reinforced sands, with the measured peak uplift resistance being used to calibrate advanced numerical models employing neural networks. Multilayer perceptron (MLP) and Radial Basis Function (RBF) primary structure types have been used to train two neural network models, which were then further developed using bagging and boosting ensemble techniques. Correlation coefficients in excess of 0.954 between the measured and predicted peak uplift resistance have been achieved. The results show that the design of pipelines can be significantly improved using the proposed novel, reliable and robust soft computing models.

show abstract

Uplift Resistance of Buried Pipelines Enhanced by Geogrid

Cited by 17 publications

References 13 publications

Advances in Agricultural Engineering Technologies and Application

Advances in Agricultural Engineering Technologies and Application

Effect of Loading Speed on Direct and Indirect Tensile Strength of Rock and Concrete

The Effectiveness of Ensemble-Neural Network Techniques to Predict Peak Uplift Resistance of Buried Pipes in Reinforced Sand

Contact Info

Product

Resources

About