基于曲率模态的弯坡连续刚构桥损伤识别及健康监测研究
发布时间:2018-04-17 23:28
本文选题:弯坡连续刚构 + 损伤识 ; 参考:《长安大学》2014年硕士论文
【摘要】:弯坡连续刚构桥由于能够适应地形限制,使得该桥型在高原山区得以广泛应用。但因其受到结构形式复杂和扭转效应显著等不利因素的影响,在服役期间会加剧出现桥梁的老化、劣化等较多的结构损伤病害的出现。若不及时发现并合理处治,将危及桥梁结构的安全使用性能,因此,若在桥梁运营过程中如果能够准确地对桥梁结构的损伤进行识别,建立与该类桥型相适应的健康监测方案,即时掌握桥梁结构的健康状况,对保证其安全运营、避免重大灾难,,具有重要意义。 已有的基于曲率模态损伤识别的研究主要集中在直线简支梁、连续梁的研究,而对弯坡连续刚构桥的研究相对较少,对此类桥型不同部位损伤时的识别效果的适用性、有效性有待进一步的研究;在对弯坡连续刚构桥曲率模态的主要影响因素分析方面的研究,也相对较少。基于曲率模态损伤识别的相关成果指导应用于弯坡连续刚构健康监测设计之中,亦缺少相关资料。基于此,本文主要研究内容如下: 1、基于损伤识别理论,以依托工程为背景建立有限元模型,研究分析了曲率半径、纵坡、墩高等因素对结构模态的影响,得出了弯坡连续刚构桥的振型与曲率模态特性变化规律。 2、利用有限元模型对上部结构单处和多处损伤进行了模拟,分析了不同损伤工况下以各阶曲率模态、曲率模态变化率、即刻曲率模态损伤因子作为识别指标时弯坡刚构桥损伤识别效果的适用性和敏感性,并评价分析了各种指标的优缺点。 3、对弯坡连续刚构桥上、下部结构同时发生损伤时的曲率模态关联性进行了研究,并研究了上、下部结构损伤识别之间的干扰性。并指出了弯坡连续刚构桥上、下部结构损伤的相互影响关系。 4、基于以上研究,对弯坡连续刚构桥健康监测进行了研究:设计了健康监测测点布置方案,为桥梁健康监测系统的实施提供方案性参考,并制定模态参数的测试方法,对依托工程进行了损伤识别检验。
[Abstract]:The continuous rigid frame bridge with curved slope can adapt to the limitation of terrain, so it is widely used in plateau mountain area.However, due to the complex structure and significant torsion effect, the aging of bridges and deterioration of bridges will be aggravated during the service period.If the bridge structure is not found in time and properly treated, it will endanger the safety performance of the bridge structure. Therefore, if the damage of the bridge structure can be accurately identified during the operation of the bridge, a health monitoring scheme suitable for this type of bridge will be established.It is of great significance to grasp the health condition of bridge structure in time to ensure its safe operation and avoid major disasters.The existing researches based on curvature mode damage identification mainly focus on the research of linear simply supported beam and continuous beam, but the research on curved slope continuous rigid frame bridge is relatively few.The effectiveness needs further study, and the analysis of the main influencing factors of curvature mode of curved slope continuous rigid frame bridge is relatively few.The results based on curvature modal damage identification are applied to the continuous rigid frame health monitoring design of curved slope and lack of relevant data.Based on this, the main contents of this paper are as follows:1. Based on the damage identification theory, the finite element model based on engineering background is established, and the influence of curvature radius, longitudinal slope, pier height and other factors on the structural mode is studied and analyzed.The mode and curvature mode characteristics of continuous rigid frame bridge with curved slope are obtained.2. The finite element model is used to simulate the single and multiple damage of superstructure, and the rate of change of curvature mode and curvature mode are analyzed under different damage conditions.The applicability and sensitivity of the damage identification effect of curved slope rigid frame bridge using the damage factor of instant curvature mode as the identification index are analyzed and the advantages and disadvantages of each index are evaluated and analyzed.3. The curvature modal correlation of the substructure on the continuous rigid frame bridge with curved slope is studied, and the interference between the upper and the lower structure damage identification is studied.The relationship between the damage of the substructure on the continuous rigid frame bridge with curved slope is pointed out.4. Based on the above research, the health monitoring of continuous rigid frame bridge with curved slope is studied. The layout scheme of health monitoring measuring points is designed, which provides a scheme reference for the implementation of bridge health monitoring system, and formulates the testing method of modal parameters.The damage identification test was carried out on the supporting engineering.
【学位授予单位】:长安大学
【学位级别】:硕士
【学位授予年份】:2014
【分类号】:U441.4;U448.23
【参考文献】
相关期刊论文 前10条
1 孙增寿,韩建刚,任伟新;基于曲率模态和小波变换的结构损伤位置识别[J];地震工程与工程振动;2005年04期
2 李永梅;周锡元;高向宇;;基于柔度差曲率矩阵的结构损伤识别方法[J];工程力学;2009年02期
3 朱宏平;余t
本文编号:1765793
本文链接:https://www.wllwen.com/kejilunwen/jiaotonggongchenglunwen/1765793.html