Influence of random geometrical imperfection on loading capacity of scaffold based on stochastic numerical model

IF 4 2区 工程技术 Q2 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS Advances in Engineering Software Pub Date : 2024-07-31 DOI:10.1016/j.advengsoft.2024.103737
Ni Zhang , Rui Qiu , Zhongwei Zhao , Bingzhen Zhao , Shichao Wang
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Abstract

The existing data indicate that two-thirds of engineering accidents occur during construction among which engineering accidents caused by scaffold collapse account for a large proportion. Due to the complex mechanical behavior of connection and random nature of scaffold system caused by random geometrical imperfection, the reliability of scaffold system is lower than other kinds of building structures. However, the method considering the random geometrical imperfection is limited. To facilitate the analysis of random geometrical imperfection, the original numerical algorithm is proposed based on ANSYS Parametric Design Language. Through proposed method, two types of geometrical imperfections, i.e., the nodal location error and initial curvature can be automatically considered. The randomness in initial curvature includes random magnitude and random direction. The established numerical model is as close to reality as possible and the process of establishing stochastic numerical model can be automatically finished. The only work that needs to be done is to enter the dimensions of the scaffold. Except the propose of numerical algorithm, the objective of this study is to reveal the influence of geometrical imperfection on random distribution of loading capacity of scaffold system under different load conditions. The influence of random geometrical imperfection on probabilistic distribution of loading capacity is systematically investigated. The results indicated that there may be several buckling modes exist and the buckling mode occurred in actual condition is closely related to the random distribution of geometrical imperfection. The load factor of internal post (point 3) is 8 %–12 % larger than that of corner post. The load factor of side post is 4.7 %–7.2 % larger than that of corner post. The ultimate bending capacity Mu has little influence on the loading capacity of scaffold system when the initial bending stiffness ko is small enough.

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基于随机数值模型的随机几何缺陷对脚手架承载能力的影响
现有资料表明,三分之二的工程事故发生在施工过程中,其中脚手架坍塌造成的工程事故占很大比例。由于脚手架系统具有复杂的连接力学行为和随机几何缺陷导致的随机性,脚手架系统的可靠性低于其他类型的建筑结构。然而,考虑随机几何缺陷的方法有限。为了便于对随机几何缺陷进行分析,基于 ANSYS 参数化设计语言提出了独创的数值算法。通过所提出的方法,可以自动考虑两种类型的几何缺陷,即节点位置误差和初始曲率。初始曲率的随机性包括随机幅度和随机方向。建立的数值模型尽可能接近实际情况,随机数值模型的建立过程可以自动完成。唯一需要做的工作是输入脚手架的尺寸。除提出数值算法外,本研究的目的还在于揭示几何缺陷对不同荷载条件下脚手架系统承载力随机分布的影响。系统地研究了随机几何缺陷对承载力概率分布的影响。结果表明,可能存在多种屈曲模式,而实际情况下发生的屈曲模式与几何缺陷的随机分布密切相关。内柱(第 3 点)的荷载系数比角柱大 8 %-12 %。边柱的荷载系数比角柱大 4.7 %-7.2 %。当初始弯曲刚度足够小时,极限弯曲能力对脚手架系统的承载能力影响不大。
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来源期刊
Advances in Engineering Software
Advances in Engineering Software 工程技术-计算机:跨学科应用
CiteScore
7.70
自引率
4.20%
发文量
169
审稿时长
37 days
期刊介绍: The objective of this journal is to communicate recent and projected advances in computer-based engineering techniques. The fields covered include mechanical, aerospace, civil and environmental engineering, with an emphasis on research and development leading to practical problem-solving. The scope of the journal includes: • Innovative computational strategies and numerical algorithms for large-scale engineering problems • Analysis and simulation techniques and systems • Model and mesh generation • Control of the accuracy, stability and efficiency of computational process • Exploitation of new computing environments (eg distributed hetergeneous and collaborative computing) • Advanced visualization techniques, virtual environments and prototyping • Applications of AI, knowledge-based systems, computational intelligence, including fuzzy logic, neural networks and evolutionary computations • Application of object-oriented technology to engineering problems • Intelligent human computer interfaces • Design automation, multidisciplinary design and optimization • CAD, CAE and integrated process and product development systems • Quality and reliability.
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