Lateral Performance of Helical Piles as Foundations for Offshore Wind Farms

Akl, Sherif Adel; Elhami, Omar M.; Abu-keifa, Mustafa A.

doi:10.1061/9780784480137.043

Cited by 5 publications

(2 citation statements)

References 4 publications

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“…Numerical simulation is an effective option to analyze the failure mechanisms and bearing capacity of foundations. The finite element method has been used in previous studies [27][28][29][30][31][32][33][34][35][36][37][38][39][40]. Large deformation and mesh distortion are challenges for the FEM analysis of deep anchors, especially in sand.…”

Section: Introductionmentioning

confidence: 99%

Numerical Investigation of Uplift Failure Mode and Capacity Estimation for Deep Helical Anchors in Sand

Yuan

Hao

Chen

et al. 2023

JMSE

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The uplift capacity of helical anchors is generally taken as the control condition for design in different applications, including transmission tower foundations and offshore structures. However, it is difficult to identify the failure surface for a deep helical anchor, which may result in an incorrect assessment of uplift capability. This research proposes a new unified method to estimate the uplift capacity of deep single-helix and multi-helix anchors based on the investigation of failure mechanisms. The deep failure mode was identified by FEM analysis using a modified Mohr–Coulomb model considering the strain softening of sand, along with the coupled Eulerian–Lagrangian technique. Thereby, a simplified rupture surface is proposed, and the equations estimating the uplift capacity are presented by the limit equilibrium method. Two important factors—the lateral earth pressure coefficient and the average internal friction angle included in the equations—are discussed and determined. The comparisons with centrifugal tests verify the reasonability of the proposed method.

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Section: Introductionmentioning

confidence: 99%

Numerical Investigation of Uplift Failure Mode and Capacity Estimation for Deep Helical Anchors in Sand

Yuan

Hao

Chen

et al. 2023

JMSE

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“…Over the last four decades, many texture descriptions have been proposed in the field of digital image processing (Haralick, 1979;Akl, 2016). From a structural standpoint, texture derives from spatial variations in the grey levels of pixels.…”

Section: Introductionmentioning

confidence: 99%

Exemplar-Based Texture Synthesis Using Two Random Coefficients Autoregressive Models

Maarouf¹,

Hachouf

Kharfouchi

2023

Image Anal Stereol

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Example-based texture synthesis is a fundamental topic of many image analysis and computer vision applications. Consequently, its representation is one of the most critical and challenging topics in computer vision and pattern recognition, attracting much academic interest throughout the years. In this paper, a new statistical method to synthesize textures is proposed. It consists in using two indexed random coefficients autoregressive (2D-RCA) models to deal with this problem. These models have a good ability to well detect neighborhood information. Simulations have demonstrated that the 2D-RCA models are very suitable to represent textures. So, in this work, to generate textures from an example, each original image is splitted into blocks which are modeled by the 2D-RCA. The proposed algorithm produces approximations of the obtained blocks images from the original image using the generalized method of moments (GMM). Different sizes of windows have been used. This study offers some important insights into the newly generated image. Satisfying obtained results have been compared to those given by well-established methods. The proposed algorithm outperforms the state-of-the-art approaches.

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Analysis and design methods of helical piles: a critical review with emphasis on finite element method

Debnath

Singh

2022

Arab J Geosci

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Lateral Performance of Helical Piles as Foundations for Offshore Wind Farms

Cited by 5 publications

References 4 publications

Numerical Investigation of Uplift Failure Mode and Capacity Estimation for Deep Helical Anchors in Sand

Numerical Investigation of Uplift Failure Mode and Capacity Estimation for Deep Helical Anchors in Sand

Exemplar-Based Texture Synthesis Using Two Random Coefficients Autoregressive Models

Analysis and design methods of helical piles: a critical review with emphasis on finite element method

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