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首页> 外文会议>International Conference on Advances in Building Technology Vol.1, Dec 4-6, 2002, Hong Kong, China >RELIABILITY ANALYSIS FOR MECHANICAL PROPERTIES OF STRUCTURAL BAMBOO
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RELIABILITY ANALYSIS FOR MECHANICAL PROPERTIES OF STRUCTURAL BAMBOO

机译：结构竹机械性能的可靠性分析

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摘要

Some of the bamboo species are very stiff and strong, hence are considered as ideal natural structural materials suitable for many construction applications, such as low-rise houses, short span footbridges, long span roofs and assess scaffolds. On the other hand, bamboo - a natural non-homogenous organic substance, often exhibits large variations of physical properties along the length of its members, such as external and internal diameters, dry density and moisture content. While structural engineers expect variations in the mechanical properties of bamboo, they tend to accept that the mechanical properties of bamboo are likely to be more consistent than those of concrete, probably similar to structural timber. This paper presents a series of experimental investigations on structural bamboo species, together with a neural network (NN) based ? approach for sensitivity analysis and reliability analysis of the experimental data. Through an optimized NN model for characterizing the mechanical properties from the physical ones for Mao Jue using the pilot test results, we have gained insight on how physical properties of bamboo influence the compressive strength and Young's modulus of structural bamboo. Further, the NN model also serves as a "virtual lab" for carrying out controlled experiments and conducting reliability analysis on the mechanical properties of bamboo. The NN-produced 5th percentile compressive strength is compared against present knowledge on structural Mao Jue, coming close to the characteristic value of Mao Jue obtained in previous findings. This new NN-based approach, as a reliable and cost-effective means to study structural bamboo, can facilitate structural engineers to understand the properties of structural bamboo and design bamboo structures at a known level of confidence against failure.
机译：一些竹子非常坚硬，因此被认为是适合许多建筑应用的理想天然结构材料，例如低层房屋，短跨度人行天桥，大跨度屋顶和评估脚手架。另一方面，竹子-一种天然的非均质有机物质，通常会沿其成员的长度表现出很大的物理特性变化，例如外径和内径，干密度和水分含量。尽管结构工程师期望竹子的机械性能发生变化，但他们倾向于接受竹子的机械性能可能比混凝土的机械性能更稳定，这可能与结构木材相似。本文介绍了有关结构竹种的一系列实验研究，以及基于神经网络（NN）的研究。实验数据的敏感性分析和可靠性分析的方法。通过使用先导测试结果通过优化的NN模型表征毛Ju的物理力学性能，我们了解了竹子的物理特性如何影响结构竹的抗压强度和杨氏模量。此外，NN模型还充当“虚拟实验室”，用于进行受控实验并对竹子的机械性能进行可靠性分析。将NN产生的第5个百分抗压强度与有关结构毛Ju的现有知识进行比较，接近先前发现中获得的毛Ju的特征值。这种基于神经网络的新方法，作为研究结构竹的可靠且具有成本效益的手段，可以帮助结构工程师理解结构竹的特性，并以已知的抗故障等级设计竹结构。

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