Analytical Model and Optimization of Joint Systems in Modular Precast Foundations for Onshore Wind Turbines

This study presents a comprehensive design and calculation methodology for prefabricated expansion foundations of onshore wind turbines, addressing the critical need for modular construction while ensuring structural integrity. The proposed approach encompasses both overall structural performance verification and connection joint design, considering the stiffness reduction effects of modularization. A novel punching shear capacity checking method is developed specifically for assembled expansion foundations, incorporating joint weakening factors. The research establishes equilibrium equations and verification formulas for splice joints under different loading conditions, demonstrating that the shear amplification factor at joints varies with local compressive stress. The analytical results demonstrate several key findings: (1) the derived maximum joint shear formula shows excellent agreement with finite element results across various load conditions (R2 = 0.99906); (2) the optimized shear key configuration increases the joint’s load-bearing capacity by 35% compared to conventional designs; and (3) the developed Python-based calculation system reduces the design time by 60% while maintaining accuracy within 5% of detailed FEM analysis. These quantitative outcomes validate the effectiveness of the proposed methodology and provide practical guidelines for implementing modular construction in wind energy infrastructure.

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Publication Details

Journal
Buildings
Published
2024-12-12
DOI
https://doi.org/10.3390/buildings14123952
Citations
4
Primary Topic
Geotechnical Engineering and Soil Stabilization
Type
article
Field-Weighted Citation Impact
1.04

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article

Analytical Model and Optimization of Joint Systems in Modular Precast Foundations for Onshore Wind Turbines

Yunchao Tang, Fei Wang, Chao Shen, Zhiqiang Yu et al.
4 citations
Buildings
Geotechnical Engineering and Soil Stabilization
1.04
article

Analytical Model and Optimization of Joint Systems in Modular Precast Foundations for Onshore Wind Turbines

Yunchao Tang, Fei Wang, Chao Shen, Zhiqiang Yu, Wantong Liu, Dongliang Zhang, Xiangguo Wu, Chu Zhao, Kun Fu
article en
4 citations

Abstract

This study presents a comprehensive design and calculation methodology for prefabricated expansion foundations of onshore wind turbines, addressing the critical need for modular construction while ensuring structural integrity. The proposed approach encompasses both overall structural performance verification and connection joint design, considering the stiffness reduction effects of modularization. A novel punching shear capacity checking method is developed specifically for assembled expansion foundations, incorporating joint weakening factors. The research establishes equilibrium equations and verification formulas for splice joints under different loading conditions, demonstrating that the shear amplification factor at joints varies with local compressive stress. The analytical results demonstrate several key findings: (1) the derived maximum joint shear formula shows excellent agreement with finite element results across various load conditions (R2 = 0.99906); (2) the optimized shear key configuration increases the joint’s load-bearing capacity by 35% compared to conventional designs; and (3) the developed Python-based calculation system reduces the design time by 60% while maintaining accuracy within 5% of detailed FEM analysis. These quantitative outcomes validate the effectiveness of the proposed methodology and provide practical guidelines for implementing modular construction in wind energy infrastructure.

BuildingsVol. 14(12)
Harbin Institute of Technology (CN), Dongguan University of Technology (CN), PowerChina (China) (CN), Powerchina Huadong Engineering Corporation (China) (CN), Fuzhou University (CN)
POWERCHINA Huadong Engineering Corporation, National Natural Science Foundation of China
Affordable and clean energy
Openalex Percentile: Top 25%
Geotechnical Engineering and Soil Stabilization
1.04
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