木结构变形监测与节点损伤识别研究

发布时间：2018-03-11 03:16

本文选题：木结构　切入点：变形监测　出处：《福州大学》2014年硕士论文　论文类型：学位论文

【摘要】：我国的古木建筑以历史悠久,内部装饰华丽,布局合理,精雕细琢而文明于世,是我国重要的文物和珍贵的历史文化遗产,在世界上享有极高的盛誉。然而由于木材材质易腐蚀和虫蛀的特性,加之古建筑的建造年代久远,在其服役过程中,受到环境荷载作用及疲劳效应、腐蚀效应等不利因素的影响,结构不可避免地产生变形、损伤累积和抗力衰减,这些严重地影响了古建筑木结构的正常使用和安全可靠性。为此本文从变形监测与损伤识别两方面对木结构的工作状态进行了系列研究,主要的研究工作与取得成果如下：(1)针对木结构的主要破坏形式,即梁挠度变形过大,榫头脱卯和柱子倾斜过大等问题,从破坏模式的产生原因、常用变形监测技术、长期健康监测技术三个方面展开研究。研究提出了利用光纤光栅应变传感器进行挠度监测、位移计进行榫头脱卯监测、倾角仪进行柱子倾斜监测的变形监测方法,并通过一榀木构架静力试验和拟静力试验进行验证。研究结果表明,所提方法具有较高的精度和可行性。(2)针对木结构节点刚度的损伤识别,采用统计过程控制方法,提出了超出控制图上下界限比例作为节点损伤识别的指标以及基于控制质量图的刚度识别方法,并通过一榀木构架拟静力试验进行验证。试验结果表明,此指标与节点的割线刚度具有相关性,随着损伤的发展,节点割线刚度下降而此指标则上升,从而可以粗略判别节点刚度的发展程度。(3)针对于木结构的变形监测要求,利用VB软件研发了变形监测系统。该系统包含传感器子系统、信号采集子系统和数据分析与处理子系统,通过木构架结构的实验室测试,初步验证该系统可以快速有效地对木结构进行变形长期监测。
[Abstract]:The ancient wooden buildings in our country have a long history, gorgeous interior decoration, reasonable layout, meticulous carving and civilization. They are important cultural relics and precious historical and cultural heritage of our country. It has a very high reputation in the world. However, due to the corrosiveness of wood materials and the worm-eating properties of ancient buildings, they are subjected to environmental loads and fatigue effects in the course of their service. Due to the influence of adverse factors such as corrosion effect, the structure inevitably produces deformation, damage accumulation and resistance attenuation. These have seriously affected the normal use and safety and reliability of wooden structures in ancient buildings. In this paper, a series of studies on the working state of wood structures have been carried out in terms of deformation monitoring and damage identification. The main research work and achievements are as follows: (1) in view of the main failure forms of wood structures, namely, the deflection of beams is too large, the tenons and joints are too large, and the columns are inclined too large, from the causes of the failure mode, the common deformation monitoring techniques are commonly used. The long-term health monitoring technology is studied in three aspects: deflection monitoring with fiber Bragg grating strain sensor, tenon and joint monitoring with displacement meter, and column tilt monitoring with tiltmeter. The results show that the proposed method has high accuracy and feasibility. (2) the statistical process control method is used to identify the damage of the joint stiffness of wood structure. The ratio of the upper and lower limit of the control chart is proposed as the index of the joint damage identification and the stiffness identification method based on the control quality diagram is proposed. The method is verified by a quasi-static test of a wooden frame. The experimental results show that, This index is related to the Secant stiffness of the joint. With the development of the damage, the Secant stiffness of the joint decreases and the index rises. Therefore, the degree of development of the stiffness of the joint can be roughly judged. 3) according to the requirements of the deformation monitoring of the wood structure, The deformation monitoring system is developed by using VB software. The system includes sensor subsystem, signal acquisition subsystem and data analysis and processing subsystem. It is preliminarily verified that the system can quickly and effectively monitor the deformation of wood structures.
【学位授予单位】：福州大学
【学位级别】：硕士
【学位授予年份】：2014
【分类号】：TU366.2

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