复杂幕墙型材成形精度控制方法研究
梁玉婷
摘 要
近年来,建筑形态呈现出多样化、非线性的特点。幕墙作为建筑的外部围护结构,是塑造建筑形态的重要工具。非线性建筑幕墙中有大量的翘曲面板、弯曲型材等构件。这些构件在成形过程中产生回弹,容易导致成形精度低,影响局部构件装配及建筑整体视觉效果。本文以建筑复杂幕墙型材为研究对象,提出型材成形精度控制方法,以改善型材回弹造成的质量问题。本文的主要工作如下:
(1)分析建筑幕墙型材成形精度的影响因素。深入分析幕墙型材的成形工艺、特点,将型材弯曲角度、形状、长度、截面、壁厚、屈服强度确定为幕墙型材成形精度影响因素。随后利用ABAQUS有限元软件开展型材成形仿真建模。最后通过正交试验法设计实验,并对实验结果进行极差分析,确定各影响因素与型材成形精度的具体关系。
(2)建立建筑幕墙型材成形精度智能预测方法。通过生成对抗网络(Generative Adversarial Networks,GAN)和人工神经网络(Artificial Neural Network,ANN)搭建数据驱动的型材成形精度预测方法。其中GAN作为数据增强模型,通过生成数据扩充训练集,提高预测模型精度。ANN作为预测模型,在扩充后的数据集上展开训练,以型材影响因素为输入,以型材回弹情况为输出,预测模型决定系数均值为0.875,预测准确率高且稳定。(3)提出建筑幕墙型材成形精度补偿控制方法。利用回弹指标与弯曲参数之间的关系,推导出模面修正公式。随后通过插值法合理确定修正后的弯曲角度,并对模具的位置进行修正。最后完成验证试验,证明精度补偿控制方法在不同弯曲形状上均能有效提高成形精度。
最后,在实际幕墙工程中进行了建筑复杂幕墙型材成形精度控制方法的有效性验证。结果表明,该方法能够显著提高型材的成形精度,以满足验收要求。
关键词:建筑幕墙;型材成形精度;回弹预测;模面修正
Abstract
As the concept of sustainable development in the construction industry has become increasingly prominent, the continuous advancement of new building industrialization has brought prefabricated buildings into the spotlight, making significant contributions to the transformation and upgrading of the construction industry and the improvement of construction efficiency. However, the construction mode of prefabricated buildings, from design to assembly, extends the industry chain, and new participants such as prefabricated component manufacturers emerge in the supply chain. This expansion has resulted in a intricate web of units involved in the production, transportation, and assembly of prefabricated components, leading to complexities in the relationships among them. Consequently, the disclosure, dissemination, and sharing of quality information are hindered, giving rise to the formation of quality information silos, which in turn, has a profound impact on project quality. Therefore, this new construction model necessitates a more urgent and efficient demand for quality information sharing among entities within supply chain. This study aims to explore how to effectively achieve quality information sharing in the prefabricated buildings supply chain based on blockchain, offering profound insights and strategic directives for the sustainable development of prefabricated buildings at this juncture.
Firstly, the current landscape of quality information sharing in the supply chain of prefabricated buildings was analyzed, and the potential application benefits of blockchain in quality information disclosure in the assembly building supply chain were explored. Based on the analysis, an evolutionary game model for quality information disclosure was established. The objective of this model was to thoroughly investigate the equilibrium states of the quality information disclosure system and the application of blockchain technology for enhancing quality information disclosure in prefabricated building supply chains. The findings revealed the applicability and potential of blockchain technology in quality information disclosure within the supply chain. However, when to adopt blockchain technology in prefabricated building supply chain quality information disclosure activities and how supply chain parties make decisions about their quality information disclosure levels needed further research.
Secondly, utilizing Stackelberg game theory, this thesis investigated the optimal decisions of component manufacturers and construction units in the procurement process of prefabricated buildings supply chain. The analysis compared two scenarios: one relying traditional quality information sharing and the other leveraging blockchain technology. The conditions for blockchain technology adoption were analyzed. To evaluate the influence of various factors, such as quality information perception coefficients, risk aversion levels, platform commissions, and blockchain costs, MATLAB numerical simulations were conducted. The findings revealed that the cost of disclosing quality information under blockchain hinders component manufacturers' willingness to disclose, leading to conflicts among supply chain parties, potentially obstructing blockchain implementation. This can create bottlenecks in the implementation of blockchain. To mitigate this conflict and achieve supply chain coordination, effective incentive mechanisms were proposed.
Finally, this thesis introduced a cost-sharing contract, a government subsidy incentives mechanism, and a social supervision evaluation mechanism for quality information sharing within the supply chain of prefabricated buildings under blockchain. These mechanisms were designed to strengthen internal supply chain coordination, external incentives, and external supervision. Utilizing Stackelberg game theory, the study analyzed the optimal decisions of component manufacturers and construction units under different incentive mechanisms. MATLAB numerical simulations were conducted to assess the impact of these incentive mechanisms on key variables and their potential for optimizing the supply chain. The findings indicated that all three mechanisms exhibit significant motivating effects, with the cost-sharing contract and social supervision evaluation mechanism proving particularly. In practical projects, it is crucial to select an appropriate incentive mechanism or combine multiple mechanisms based on the specific context.
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