Study on the bearing capacity optimization and performance of photovoltaic support in desert sand and gravel area based on bionics

基于仿生学的沙漠沙砾区光伏支架承载力优化及性能研究

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Abstract

With the continuous development and use of renewable energy, photovoltaic projects have become essential in the clean energy landscape. The bearing capacity and stability of their bracket foundations are crucial for the sustainable development of energy. Therefore, this paper aims to investigate the application of bionics principles to propose a novel type of photovoltaic bracket pile foundation designed to meet diverse bearing capacity requirements, specifically suited for desert gravel areas: the photovoltaic bracket serpentine pile foundation. This study aims to examine the factors influencing the bearing characteristics of the serpentine piles. Using a controlled variable method, we systematically analyze the effects of the serpentine pile embedment depth, width, spacing, and other factors on various aspects of the serpentine piles' performance, including ultimate bearing capacity, unit-volume concrete bearing capacity, pile displacement, and pile body stresses. The results indicate that these parameters significantly impact the bearing performance of the serpentine piles, with burial depth and width of the snakeskin body emerging as key factors. Finally, by employing multiple linear regression analysis, we propose recommendations for optimizing the serpentine pile parameters to achieve the best balance between load-bearing performance and economic viability. These recommendations, based on experimental data and analytical results, not only provide a theoretical basis for the design and application of serpentine piles but also serve as a valuable reference for the research and development of similar foundation treatment technologies.

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