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预制剪力墙结构中各向异性节点及预制墙板的承载参数优化

Optimization of load-bearing parameters for anisotropic nodes and prefabricated wall panels in prefabricated shear wall structures.

作者信息

Zhao Jun, Wang Libo, Ma Tengye

机构信息

School of Civil and Architectural Engineering, Anyang Institute of Technology, Anyang, China.

出版信息

PLoS One. 2025 Mar 17;20(3):e0318521. doi: 10.1371/journal.pone.0318521. eCollection 2025.

DOI:10.1371/journal.pone.0318521
PMID:40096072
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11913284/
Abstract

As the global construction industry develops, prefabricated buildings are gradually emerging and widely used. However, the bearing capacity of anisotropic nodes and prefabricated wall panels in prefabricated shear wall structures remains a technical challenge that restricts their widespread application. Therefore, the study improves the quality information model for prefabricated nodes and the dragonfly algorithm by introducing principal component dimensionality reduction methods and multiple strategies through data modeling. Finally, a quality control model for anisotropic nodes and an optimization model for the load-bearing parameters of prefabricated wall panels are proposed. The experimental results showed that the control error of the nodal quality control model was as low as 0.9 mm. The displacement angle was as low as 0.037 rad. The maximum shear strength was 7.6 MPa. The minimum number of iterations of the parametric optimization model was 160 and the number of optimal solution strategies generated was 4500. The ratio of anti-overturning moment under wind and earthquake loads decreased by 0.45 and 0.13 compared with before optimization, respectively. Therefore, the proposed model can improve the load-bearing capacity and energy consumption capacity of nodes, and reduce control errors. The optimization of anisotropic nodes significantly enhances the seismic performance of shear walls. This offers a scientific foundation for designing and constructing prefabricated shear walls.

摘要

随着全球建筑业的发展,装配式建筑逐渐兴起并得到广泛应用。然而,装配式剪力墙结构中各向异性节点和预制墙板的承载能力仍然是一个技术难题,限制了它们的广泛应用。因此,本研究通过数据建模引入主成分降维方法和多种策略,改进了预制节点的质量信息模型和蜻蜓算法。最后,提出了各向异性节点的质量控制模型和预制墙板承载参数的优化模型。实验结果表明,节点质量控制模型的控制误差低至0.9毫米,位移角低至0.037弧度,最大抗剪强度为7.6兆帕。参数优化模型的最小迭代次数为160次,生成的最优解策略数量为4500个。与优化前相比,风荷载和地震荷载作用下的抗倾覆力矩比分别降低了0.45和0.13。因此,所提出的模型可以提高节点的承载能力和耗能能力,并减少控制误差。各向异性节点的优化显著提高了剪力墙的抗震性能。这为装配式剪力墙的设计和施工提供了科学依据。

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