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1.
桥梁健康监测及诊断研究综述   总被引:17,自引:2,他引:17  
本文分析了桥梁结构健康监测和诊断的必要性和紧迫性,对桥梁结构损伤探测的方法进行了详细的分类及论述。提出了桥梁健康监测和诊断的研究新领域——无线监测系统。最后指出了桥梁健康监测和诊断中存在的问题及发展趋势。  相似文献   

2.
结构健康监测系统设计标准化评述与展望   总被引:4,自引:1,他引:3  
阐述了结构健康监测的概念和内涵。详细介绍了结构健康监测系统的功能、组成和应用现状。结构健康监测系统设计标准化能够促进健康监测的应用和发展,具有重要的工程意义。对世界范围内相关研究进展进行了综述和评价。强调在我国建立监测系统设计标准的重要性,并提出了相应的说明和建议。设计标准可以分为总则、外观检查与无损检测、传感器的选择与布置、信息采集与处理系统、通信与传输系统、损伤识别和评估系统、应用实例等7部分。结构健康监测系统设计标准的实现将有力地推动健康监测的研究。  相似文献   

3.
苏通大桥结构健康监测系统设计   总被引:4,自引:0,他引:4  
介绍了苏通大桥结构健康监测系统研究的主要成果,分析了大跨径桥梁健康监测研究的关键问题.苏通大桥结构健康监测系统主要由四个子系统组成:(1)传感器系统(SS);(2)数据采集与传输系统(DATS);(3)数据管理与控制系统(DMCS);(4)结构健康评估系统(SHES).其中,结构健康评估系统是苏通大桥结构健康监测和安全评价系统的核心内容.结构健康评估系统由五个模块组成:(1)桥梁评级系统;(2)适用性评估;(3)损伤诊断和预测;(4)耐久性评估;(5)安全性评估.文中较为系统地论述了目前大跨桥梁健康监测系统建立与研究中的主要问题,指出了研究结构健康评估系统的主要技术途径,阐述了大跨桥梁健康监测系统存在的问题和发展方向.  相似文献   

4.
光纤健康监测方法在土木工程中的研究与应用进展   总被引:25,自引:0,他引:25  
在土木工程领域,光纤智能健康监测方法是对建筑物或构筑物的健康状况进行检测的一种新方法。本文首先论述了光纤智能健康监测系统的构成,然后对国内外光纤健康监测系统在土木结构中的研究与应用进行了回顾,介绍了光纤传感器的种类、原理、特点和当前应用的状况,重点介绍了光纤位移传感器和布拉格光栅(Bragg grating)应变传感器,最后展望了光纤智能健康监测方法在土木结构中的应用前景。  相似文献   

5.
土木工程智能结构体系的研究与发展   总被引:68,自引:4,他引:64  
本文概要综述了感知材料、驱动材料和自修复材料等三大类主要的智能材料在土木工程中应用的概况;阐述了土木工程结构智能监测、健康诊断、损伤修复和振动控制的发展趋势和近期研究的主要方向以及对智能材料的发展和改性的要求。  相似文献   

6.
声发射技术在桥梁结构健康监测中的应用研究进展   总被引:1,自引:0,他引:1  
声发射技术作为一种被动的、动态的监测手段,在工程和材料领域得到了广泛的应用,正日益受到桥梁结构健康监测研究者的关注。本文回顾了近年来国内外基于声发射技术的桥梁结构健康监测研究状况。首先,简要介绍了声发射的基本原理和声发射信号处理方法;其次,详细分析了声发射技术在桥梁结构健康监测中的研究成果,包括钢筋混凝土桥、钢结构桥、桥梁结构关键构件和无线声发射传感器及其网络等;最后,分析了声发射技术在桥梁结构健康监测领域应用中存在的一些问题,并对声发射技术的应用前景进行了探讨。  相似文献   

7.
在医院、教学楼等建筑中广泛采用隔震技术,能降低地震对上部结构的破坏作用。虽然隔震技术经过几十年的发展已趋于成熟,但环境及其他荷载对隔震结构性能的影响规律、结构设计的合理性以及震后结构状态评估等问题,仍需建立隔震结构健康监测系统对施工、运营期的结构响应进行监测,并对其进行评估与验证。首先,针对基础隔震结构的特点,研究了基础隔震结构的主要监测内容;在此基础上提出基础隔震结构健康监测系统的总体设计要求及原则,根据不同监测对象(整体与局部监测量)给出基础隔震结构传感器布置原则和数据采集系统软硬件设计原则,提出基础隔震结构设计验证与安全评定方法;最后给出基础隔震结构健康监测值得进一步研究的问题。  相似文献   

8.
基于小波包分解和模糊聚类的网格结构损伤诊断方法   总被引:3,自引:1,他引:3  
本文针对网格结构的特点,利用其在快速正弦扫频激励下的动力响应,基于小波包分解频带能量分析和模糊聚类法,提出了一种适合于网格结构的损伤诊断方法。利用两个传感器损伤信息的联合诊断,有效地解决了使用一个传感器无法检测出对称损伤的难题。利用有限元模拟,应用上述方法对一单层球面网壳结构进行了损伤诊断。结果表明,对网壳杆件较小程度的损伤,子频带能量成分变化敏感,用其构造诊断向量和建立损伤样本库,并进行模糊聚类和目标识别,基本可以正确地识别出网壳杆件的损伤位置和程度。同时该方法测试时间短,使用设备少,有可靠的理论基础,具有一定的工程应用参考价值。  相似文献   

9.
结构损伤诊断是过去几十年来国内外研究的热点,但从成果看,进展缓慢.多数学者注重数字信号处理和传感技术,而忽视了作为有无损伤判据的结构健康基准的研究.当然,除了组成材料不同外,结构形式也多种多样,通过统计分析大量标准样本而建立人类健康基准的方法无法在结构工程中实现.然而,结构损伤这一客观存在必然反映在结构的响应信号中,在恰当地把握结构行为的基础上,有的放矢地采集、分析结构响应信号,仍可以在一定程度上识别结构的损伤.经系统梳理、筛选,本文对几种物理概念清晰、专注于健康基准的损伤诊断方法,通过理论分析、模型试验和数值模拟等手段进行了深化和扩展研究,取得如下主要成果:  相似文献   

10.
基于结构振动信息的损伤识别研究综述   总被引:6,自引:1,他引:6  
随着传感技术、信号采集与处理和系统建模等技术的发展,基于结构振动信息的损伤识别已经成为土木工程结构健康监测与损伤检测领域的研究热点。本文系统地综述了近20年来国内外基于振动信息的结构损伤识别的研究和应用现状,评述了各类方法的优缺点,并针对土木工程结构损伤识别的特点,对有待于进一步研究的问题进行了展望。  相似文献   

11.
Local measurement for structural health monitoring   总被引:1,自引:0,他引:1  
Localized nature of damage in structures requires local measurements for structural health monitoring. The local measurement means to measure the local, usually higher modes of the vibration in a structure. Three fundamental issues about the local measurement for structural health monitoring including (1) the necessity of making local measurement, (2) the difficulty of making local measurement and (3) how to make local measurement are addressed in this paper. The results from both the analysis and the tests show that the local measurement can successfully monitor the structural health status as longas the local mod es are excited. Unfortunately, the results also illustrate that it is difficult to excite local modes in a structure. Therefore, in order to carry structural health monitoring into effect, we must ( 1 ) ensure that the local modes are excited, and (2) deploy enough sensors in a structure so that the local modes can be monitored.  相似文献   

12.
Plate structures are employed as important structural components in many engineering applications. Hence, assessing the structural conditions of in-service plate structures is critical to monitoring global structural health. Modal curvature-based damage detection techniques have recently garnered considerable attention from the research community, and have become a promising vibration-based structural health monitoring solution. However, computing errors arise when calculating modal curvatures from lateral mode shapes, which result from unavoidable measurement errors in the mode shapes as identified from lateral vibration signals; this makes curvature-based algorithms that use a lateral measurement only theoretically feasible, but practically infeasible. Therefore, in this study, long-gauge fiber Bragg grating strain sensors are employed to obtain a modal curvature without a numerical differentiation procedure in order to circumvent the computing errors. Several damage indices based on modal curvatures that were developed to locate beam damage are employed. Both numerical and experimental studies are performed to validate the proposed approach. However, although previous studies have reported relative success with the application of these damage indices on a simple beam, only one damage index demonstrated the capability to locate damage when the stiffness of the local region changed near the sensor.  相似文献   

13.
The growing number of demand for a widespread of health monitoring for strategic buildings in seismic areas has emphasized the need to realize in-depth scientific studies, in order to verify the feasibility of economic and fast methods to detect anomalous vibrations, to execute post earthquake warning and monitoring, damage assessment and first damage scenarios. Generally, an effective system for structural health monitoring requires an appropriate number of sensors, suitably located in the structures, and complex elaborations of big amounts of data. The simplified method presented in this paper is based on a statistical approach that uses the most significant data recorded on the top floor of the building, with the purpose of extracting information on the maximum inter-story drift, used as damage indicator. The parameters considered in the method are (i) maximum top acceleration, (ii) the first modal frequency variations and (iii) the equivalent structural viscous damping variation. A big amount of experimental data relevant to several tests carried out on scaled R/C models and numerical non linear dynamic analyses have been used to verify the feasibility of this approach.  相似文献   

14.
This paper presents the feasibility of using an impedance‐based health monitoring technique in monitoring a critical civil facility. The objective of this research is to utilize the capability of the impedance method in identifying structural damage in those areas where a very quick condition monitoring is urgently needed, such as in a post‐earthquake analysis of a pipeline system. The basic principle behind this technique is to utilize high‐frequency structural excitation (typically greater than 30 kHz) through surface‐bonded piezoelectric sensors/actuators to detect changes in structural point impedance due to the presence of damage. Real‐time damage detection in pipes connected by bolted joints was investigated, and the capability of the impedance method in tracking and monitoring the integrity of the typical civil facility has been demonstrated. Data collected from the tests illustrates the capability of this technology to detect imminent damage under normal operating conditions and immediately after a natural disaster. Copyright © 2001 John Wiley & Sons, Ltd.  相似文献   

15.
A bridge health monitoring system is presented based on vibration measurements collected from a network of acceleration sensors. Sophisticated structural identification methods, combining information from the sensor network with the theoretical information built into a finite element model for simulating bridge behavior, are incorporated into the system in order to monitor structural condition, track structural changes and identify the location, type and extent of damage. This work starts with a brief overview of the modal and model identification algorithms and software incorporated into the monitoring system and then presents details on a Bayesian inference framework for the identification of the location and the severity of damage using measured modal characteristics. The methodology for damage detection combines the information contained in a set of measurement modal data with the information provided by a family of competitive, parameterized, finite element model classes simulating plausible damage scenarios in the structure. The effectiveness of the damage detection algorithm is demonstrated and validated using simulated modal data from an instrumented R/C bridge of the Egnatia Odos motorway, as well as using experimental vibration data from a laboratory small-scaled bridge section.  相似文献   

16.
During the service life of civil engineering structures such as long-span bridges, local damage at key positions may continually accumulate, and may finally result in their sudden failure. One core issue of global vibration-based health monitoring methods is to seek some damage indices that are sensitive to structural damage. This paper proposes an online structural health monitoring method for long-span suspension bridges using wavelet packet transform (WPT). The WPT- based method is based on the energy variations of structural ambient vibration responses decomposed using wavelet packet analysis. The main feature of this method is that the proposed wavelet packet energy spectrum (WPES) has the ability to detect structural damage from ambient vibration tests of a long-span suspension bridge. As an example application, the WPES-based health monitoring system is used on the Runyang Suspension Bridge under daily environmental conditions. The analysis reveals that changes in environmental temperature have a long-term influence on the WPES, while the effect of traffic loadings on the measured WPES of the bridge presents instantaneous changes because of the nonstationary properties of the loadings. The condition indication indices VD reflect the influences of environmental temperature on the dynamic properties of the Runyang Suspension Bridge. The field tests demonstrate that the proposed WPES-based condition indication index VD is a good candidate index for health monitoring of long-span suspension bridges under ambient excitations.  相似文献   

17.
Damage localization under ambient vibration using changes in flexibility   总被引:1,自引:1,他引:1  
In recent years, Structural Health Monitoring (SHM) has emerged as a new research area in civil engineering. Most existing health monitoring methodologies require direct measurement of input excitation for implementation. However, in many cases, there is no easy way to measure these inputs - or alternatively to externally excite the structure. Therefore, SHM methods based on ambient vibration have become important in civil engineering. In this paper, an approach is proposed based on the Damage Location Vector (DLV) method to handle the ambient vibration case. Here, this flexibility-matrix-based damage localization method is combined with a modal expansion technique to eliminate the need to measure the input excitation. As a by-product of this approach, in addition to determining the location of the damage, an estimate of the damage extent also can be determined. Finally, a numerical example analyzing a truss structure with limited sensors and noisy measurement is provided to verify the efficacy of the proposed approach. Sponsored by: Notional Science Foundation Grant CMS 99-00234  相似文献   

18.
随着我国建造行业逐步向智能建造转型升级,高层结构地震响应和健康监测技术所涉及的传感器数目、待处理的数据量以及系统的复杂性都在不断增加。针对高层建筑结构地震响应和健康智能化监测需求,将物联网LoRa扩频通信技术引入到高层结构智能化监测系统中,设计实现基于LoRa的高层结构地震响应和健康监测软硬件平台方案。该系统由多个LoRa终端节点、LoRa网关、OneNET服务器和用户4个部分组成,监测数据通过LoRa网络传输,LoRa网关通过ESP8266模块接入云平台,将采集到的监测数据形成可视化监测界面。经测试,在城市空旷环境下该系统3 km内的丢包率小于8%,可实现高层结构地震响应和健康监测数据远距离、低功耗的可靠传输,帮助用户进行地震作用下振动反应资料的累积、建筑结构的状态评估和设施管理。  相似文献   

19.
Modal parameters of structural systems have commonly been determined using system identification (SI) methods for damage detection and health monitoring. For determining the deterioration of the integrity of structural systems correctly, modal parameters of a healthy structure have to be obtained with adequate certainty so that these parameters can be used as reliable references for the healthy system to compare with those of the damaged system. In this study, the statistical significance of modal parameters identified using strong motion time histories recorded on two bridge structures is assessed. The confidence intervals of identified modal frequencies and damping ratios are obtained using Monte Carlo simulations and sensitivity analyses in conjunction with eigenrealization algorithm. The dependence of the statistical bounds on model parameters is examined. The effect of using different number of sensors on the statistical significance is evaluated using simulated time history data from a validated finite element model of a bridge. Copyright © 2005 John Wiley & Sons, Ltd.  相似文献   

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