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Digital image correlation-based structural state detection through deep learning

《结构与土木工程前沿（英文）》 2022年 第16卷 第1期   页码 45-56 doi: 10.1007/s11709-021-0777-x

摘要： This paper presents a new approach for automatical classification of structural state through deep learning. In this work, a Convolutional Neural Network (CNN) was designed to fuse both the feature extraction and classification blocks into an intelligent and compact learning system and detect the structural state of a steel frame; the input was a series of vibration signals, and the output was a structural state. The digital image correlation (DIC) technology was utilized to collect vibration information of an actual steel frame, and subsequently, the raw signals, without further pre-processing, were directly utilized as the CNN samples. The results show that CNN can achieve 99% classification accuracy for the research model. Besides, compared with the backpropagation neural network (BPNN), the CNN had an accuracy similar to that of the BPNN, but it only consumes 19% of the training time. The outputs of the convolution and pooling layers were visually displayed and discussed as well. It is demonstrated that: 1) the CNN can extract the structural state information from the vibration signals and classify them; 2) the detection and computational performance of the CNN for the incomplete data are better than that of the BPNN; 3) the CNN has better anti-noise ability.

关键词： structural state detection     deep learning     digital image correlation     vibration signal     steel frame    

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An efficient two-stage approach for structural damage detection using meta-heuristic algorithms and group

Hamed FATHNEJAT, Behrouz AHMADI-NEDUSHAN

《结构与土木工程前沿（英文）》 2020年 第14卷 第4期   页码 907-929 doi: 10.1007/s11709-020-0628-1

摘要： In this study, the performance of an efficient two-stage methodology which is applied in a damage detection system using a surrogate model of the structure has been investigated. In the first stage, in order to locate the damage accurately, the performance of the modal strain energy based index for using different numbers of natural mode shapes has been evaluated using the confusion matrix. In the second stage, to estimate the damage extent, the sensitivity of most used modal properties due to damage, such as natural frequency and flexibility matrix is compared with the mean normalized modal strain energy (MNMSE) of suspected damaged elements. Moreover, a modal property change vector is evaluated using the group method of data handling (GMDH) network as a surrogate model during damage extent estimation by optimization algorithm; in this part of methodology, the performance of the three popular optimization algorithms including particle swarm optimization (PSO), bat algorithm (BA), and colliding bodies optimization (CBO) is examined and in this regard, root mean square deviation ( ) based on the modal property change vector has been proposed as an objective function. Furthermore, the effect of noise in the measurement of structural responses by the sensors has also been studied. Finally, in order to achieve the most generalized neural network as a surrogate model, GMDH performance is compared with a properly trained cascade feed-forward neural network (CFNN) with log-sigmoid hidden layer transfer function. The results indicate that the accuracy of damage extent estimation is acceptable in the case of integration of PSO and MNMSE. Moreover, the GMDH model is also more efficient and mimics the behavior of the structure slightly better than CFNN model.

关键词： two-stage method     modal strain energy     surrogate model     GMDH     optimization damage detection    

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Modeling considerations in seismic assessment of RC bridges using state-of-practice structural analysis

Ricardo MONTEIRO, Miguel ARAÚJO, Raimundo DELGADO, Mário MARQUES

《结构与土木工程前沿（英文）》 2018年 第12卷 第1期   页码 109-124 doi: 10.1007/s11709-017-0389-7

摘要： The increasing awareness of the general society toward the seismic safety of structures has led to more restrictive performance requirements hence, many times, to the need of using new and more accurate methods of analysis of structures. Among these, nonlinear static procedures are becoming, evermore, the preferred choice of the majority of design codes, as an alternative to complete nonlinear time-history analysis for seismic design and assessment of structures. The many available software tools should therefore be evaluated and well understood, in order to be easily and soundly employed by the practitioners. The study presented herein intends to contribute to this need by providing further insight with respect to the use of commonly employed structural analysis software tools in nonlinear analysis of bridge structures. A comparison between different nonlinear modeling assumptions is presented, together with the comparison with real experimental results. Furthermore, alternative adaptive pushover procedures are proposed and applied to a case study bridge, based on a generic plastic hinge model. The adopted structural analysis program proved to be accurate, yielding reliable estimates, both in terms of local plastic hinge behavior and global structural behavior.

关键词： nonlinear analysis     pushover     RC bridges     structural modelling software    

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Assessment of robustness of structures: Current state of research

Colin BRETT, Yong LU

《结构与土木工程前沿（英文）》 2013年 第7卷 第4期   页码 356-368 doi: 10.1007/s11709-013-0220-z

摘要： The concept of structural robustness and relevant design guidelines have been in existence in the progressive collapse literature since the 1970s following the partial collapse of the Ronan Point apartment building; however, in the more general context, research on the evaluation and enhancement of structural robustness is still relatively limited. This paper is aimed to provide a general overview of the current state of research concerning structural robustness. The focus is placed on the quantification and the associated evaluation methodologies, rather than specific measures to ensure prescriptive robustness requirements. Some associated concepts, such as redundancy and vulnerability, will be discussed and interpreted in the general context of robustness such that the corresponding methodologies can be compared quantitatively using a comparable scale. A framework methodology proposed by the authors is also introduced in line with the discussion of the literature.

关键词： structural robustness     abnormal exposure     vulnerability     collapse     consequence    

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Hot-dip galvanizing of cold-formed steel hollow sections: a state-of-the-art review

Min SUN, Jeffrey A. PACKER

《结构与土木工程前沿（英文）》 2019年 第13卷 第1期   页码 49-65 doi: 10.1007/s11709-017-0448-0

摘要： A good understanding of the effects of galvanizing on the short- and long-term behaviours of steel components is essential for structural design. This review paper is motivated by a series of recent reports on cracking in galvanized cold-formed tubular steel structures and the limitations of current steel product standards and steel design specifications in this field. The steel-related and galvanizing-related factors, different pre-galvanizing countermeasures for brittle cracking and the available technical documents are summarized. An extensive bibliography is provided as a basis for future research and development in this field.

关键词： cold-formed steel     hollow structural sections     hot-dip galvanizing     embrittlement     heat-treatment     residual stress     cracking    

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Static-based early-damage detection using symbolic data analysis and unsupervised learning methods

João Pedro SANTOS,Christian CREMONA,André D. ORCESI,Paulo SILVEIRA,Luis CALADO

《结构与土木工程前沿（英文）》 2015年 第9卷 第1期   页码 1-16 doi: 10.1007/s11709-014-0277-3

摘要： A large amount of researches and studies have been recently performed by applying statistical and machine learning techniques for vibration-based damage detection. However, the global character inherent to the limited number of modal properties issued from operational modal analysis may be not appropriate for early-damage, which has generally a local character. The present paper aims at detecting this type of damage by using static SHM data and by assuming that early-damage produces dead load redistribution. To achieve this objective a data driven strategy is proposed, consisting of the combination of advanced statistical and machine learning methods such as principal component analysis, symbolic data analysis and cluster analysis. From this analysis it was observed that, under the noise levels measured on site, the proposed strategy is able to automatically detect stiffness reduction in stay cables reaching at least 1%.

关键词： structural health monitoring     early-damage detection     principal component analysis     symbolic data     symbolic dissimilarity measures     cluster analysis     numerical model     damage simulations    

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Dynamic material performance of cold-formed steel hollow sections: a state-of-the-art review

Cameron B. RITCHIE, Jeffrey A. PACKER, Xiao-Ling ZHAO, Amin HEIDARPOUR, Yiyi CHEN

《结构与土木工程前沿（英文）》 2017年 第11卷 第2期   页码 209-227 doi: 10.1007/s11709-017-0388-8

摘要： This paper presents a literature review focused on the material performance of cold-formed, carbon steel, hollow structural sections under impulsive (highly dynamic) loading. Impulsive loading, represented by impact and blast, is characterized by a very rapid, time-dependent loading regime in the affected members and materials. Thus, the effect of high-strain-rate loading is initially reviewed. Next the material toughness, an important energy-absorption property and one measure of a material’s ability to arrest fracture, is considered by means of studying the Charpy V-notch behavior. The response of hollow sections under axial and lateral impact loading is then reviewed. ??Studies of blast on hollow sections, most of which fall under the categories of contact/near-field loading or far-field loading are presented. Under large-scale field blast experiments, cold-formed hollow sections have shown excellent behavior. Software for modeling blast loading and structural response, the latter including single degree of freedom analysis and explicit finite element analysis, is described and discussed.

关键词： cold-formed steel     hollow structural sections     composites     impulsive loading     impact     blast     experimentation     analysis     material properties    

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结构健康监测数据科学与工程研究进展 Article

鲍跃全, 陈智成, 魏世银, 徐阳, 唐志一, 李惠

《工程（英文）》 2019年 第5卷 第2期   页码 234-242 doi: 10.1016/j.eng.2018.11.027

摘要：

结构健康监测（SHM）是一个多学科交叉领域，涉及利用大量传感器和仪器对结构荷载和响应进行自动感知，然后根据收集到的数据对结构进行健康诊断。由于安装在结构上的 SHM 系统能自动实时地感知、评估和预警结构状态，所以海量数据是 SHM 的一个显著特征。与海量数据处理与分析相关的方法与技术被称为数据科学与工程，其包括数据采集、数据转换、数据管理以及数据处理与挖掘算法。本文旨在简要回顾笔者在 SHM 数据科学与工程方面开展的最新研究，具体涵盖基于压缩采样的数据采集算法、基于深度学习算法的异常数据诊断方法、基于计算机视觉技术的桥梁裂纹识别方法，以及基于机器学习算法的桥梁结构状态评估方法。最后，本文在结语部分对该领域的未来发展趋势进行了展望。

关键词： 结构健康监测     监测数据     压缩采样     机器学习     深度学习    

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智能电网状态估计方法最新进展综述 Review Article

Gang WANG, Georgios B. GIANNAKIS, Jie CHEN, Jian SUN

《信息与电子工程前沿（英文）》 2019年 第20卷 第1期   页码 4-17 doi: 10.1631/FITEE.1800590

摘要： 随着大量不确定可再生能源注入、大规模工业和个体用户市场参与、恶意智能仪表数据篡改等，精确、快速、鲁棒的状态估计方法对未来智能电网系统变得尤为重要。然而，目前电力系统采用的数据采集与监视控制系统只能获取系统状态（即系统所有节点的电压相量）的非线性测量数据。最新智能电网状态估计研究正着力于解决非线性测量数据带给可扩展性状态估计方法建模和计算方面的挑战。为使读者更好理解该领域最新进展，本文综述了基于非线性最小二乘和最小绝对误差的智能电网状态估计方法。为更好比较不同状态估计方法性能，首先描述了智能电网状态估计问题的克拉美罗下界。针对网络攻击问题，引入新的电力系统测量数据攻击模型，并介绍相应鲁棒状态估计方法。最后，分析配电网系统状态估计最新研究进展和挑战。仿真实验验证了该状态估计方法和理论的有效性和优点。

关键词： 状态估计；克拉美罗下界；可行解追逐；半正定松弛；近线性算法；复合优化；网络攻击；坏数据检测    

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水处理系统网络攻击的检测和定位：基于熵的方法 Research Article

刘可1,汪慕峰2,麻荣宽1,张镇勇2,魏强1

《信息与电子工程前沿（英文）》 2022年 第23卷 第4期   页码 587-603 doi: 10.1631/FITEE.2000546

摘要： 随着工业4.0的发展，水处理系统作为一种典型工业信息物理系统逐渐接入互联网。先进的信息技术使水处理系统在可靠性、效率和经济性方面受益。然而，网络和基础设施中潜在的漏洞使水处理系统很容易遭受网络攻击。由于水处理系统对于实时性和可用性的严苛要求，传统的面向信息系统的防御机制无法直接应用于水处理系统。本文提出一种基于熵的入侵检测方法来抵御针对系统中控制器（如可编程逻辑控制器）的攻击。由于水处理系统运行条件的变化，在模型采用静态阈值进行检测时会产生较高误报率。因此本文提出一种动态阈值调整机制来提高所提方法的检测性能。为验证所提方法，我们建立了一个包含超过50个测量点的高保真水处理系统测试平台。在两种攻击场景下进行实验，共涵盖了36次攻击。结果表明，所提方法能够实现97.22%的检测率和1.67%的误报率。

关键词： 工业信息物理系统；水处理系统；入侵检测；异常状态；检测和定位；信息论    

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Development of temperature-robust damage factor based on sensor fusion for a wind turbine structure

Jong-Woong PARK,Sung-Han SIM,Jin-Hak YI,Hyung-Jo JUNG

《结构与土木工程前沿（英文）》 2015年 第9卷 第1期   页码 42-47 doi: 10.1007/s11709-014-0285-3

摘要： Wind power systems have gained much attention due to the relatively high reliability, maturity in technology and cost competitiveness compared to other renewable alternatives. Advances have been made to increase the power efficiency of the wind turbines while less attention has been focused on structural integrity assessment of the structural systems. Vibration-based damage detection has widely been researched to identify damages on a structure based on change in dynamic characteristics. Widely spread methods are natural frequency-based, mode shape-based, and curvature mode shape-based methods. The natural frequency-based methods are convenient but vulnerable to environmental temperature variation which degrades damage detection capability; mode shapes are less influenced by temperature variation and able to locate damage but requires extensive sensor instrumentation which is costly and vulnerable to signal noises. This study proposes novelty of damage factor based on sensor fusion to exclude effect of temperature variation. The combined use of an accelerometer and an inclinometer was considered and damage factor was defined as a change in relationship between those two measurements. The advantages of the proposed method are: 1) requirement of small number of sensor, 2) robustness to change in temperature and signal noise and 3) ability to roughly locate damage. Validation of the proposed method is carried out through numerical simulation on a simplified 5 MW wind turbine model.

关键词： sensor fusion     damage detection     structural health monitoring    

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基于RTK GPS系统的结构安全监测系统研究

王人鹏,姚连璧,孟晓林

《中国工程科学》 2011年 第13卷 第3期   页码 63-70

摘要：

利用GPS系统在线监测获取的大量结构响应数据，完成了大量数据处理工作，得到了结构响应的时间序列。在此基础上，完成了结构响应的谱分析，初步建立了结构响应的状态空间模型及ARMA（autoregressive moving average method）模型。计算分析结果与大桥通车试验的实测结果及有限元模型预测结果相当吻合。研究表明，基于结构响应的状态空间模型及ARMA模型是评估结构动力性能的有力工具，同时进一步验证了通过RTK GPS系统建立结构安全监测系统的可能性。

关键词： RTK GPS系统     时间序列     状态空间模型     ARMA模型     有限元模型    

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Approximation of structural damping and input excitation force

Mohammad SALAVATI

《结构与土木工程前沿（英文）》 2017年 第11卷 第2期   页码 244-254 doi: 10.1007/s11709-016-0371-9

摘要： Structural dynamic characteristics are the most significant parameters that play a decisive role in structural damage assessment. The more sensitive parameter to the damage is the damping behavior of the structure. The complexity of structural damping mechanisms has made this parameter to be one of the ongoing research topics. Despite all the difficulties in the modeling of damping, there are some approaches like as linear and nonlinear models which are described as the energy dissipation throughout viscous, material or structural hysteretic and frictional damping mechanisms. In the presence of a mathematical model of the damping mechanisms, it is possible to estimate the damping ratio from the theoretical comparison of the damped and un-damped systems. On the other hand, solving the inverse problem of the input force estimation and its distribution to each SDOFs, from the measured structural responses plays an important role in structural identification process. In this paper model-based damping approximation method and a model-less structural input estimation are considered. The effectiveness of proposed methods has been carried out through analytical and numerical simulation of the lumped mass system and the results are compared with reference data. Consequently, high convergence of the comparison results illustrates the satisfactory of proposed approximation methods.

关键词： structural modal parameters     damping identification method     input excitation force identification     Inverse problem    

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Temperature and structural responses of a single-section utility tunnel throughout fire exposure

《结构与土木工程前沿（英文）》   页码 1351-1364 doi: 10.1007/s11709-022-0857-6

摘要： In this study, fire tests of four single-section scaled-down utility tunnels were conducted. By analyzing temperature and structural responses of the utility tunnel throughout the fire exposure, the effects on the fire behavior of two different construction methods, cast-in-situ and prefabricated, and of two different materials, ordinary concrete and full lightweight concrete, were explored. The results of the study showed that the shear failure of the cast-in-situ utility tunnel occurred at the end of the top or bottom plate, and the failure of the prefabricated utility tunnel occurred at the junction of the prefabricated member and post-cast concrete. As the temperature increased, the temperature gradient along the thickness direction of the tunnel became apparent. The maximum temperature difference between the inner and outer wall surfaces was 531.7 °C. The highest temperature occurred in the cooling stage after stopping the heating, which provided a reference for the fire protection design and rescue of the utility tunnel. The displacement of the top plate of the prefabricated utility tunnel was 16.8 mm, which was 41.8% larger than that of the cast-in-situ utility tunnel. The bearing capacities of the ordinary concrete utility tunnel and full lightweight concrete utility tunnel after the fire loss were 27% and 16.8%, respectively. The full lightweight concrete utility tunnel exhibited good ductility and fire resistance and high collapse resistance.

关键词： full lightweight concrete     construction methods     temperature response     structural response     fire test    

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Advances in airborne microorganisms detection using biosensors: A critical review

《环境科学与工程前沿（英文）》 2021年 第15卷 第3期 doi: 10.1007/s11783-021-1420-8

摘要：

Humanity has been facing the threat of a variety of infectious diseases. Airborne microorganisms can cause airborne infectious diseases, which spread rapidly and extensively, causing huge losses to human society on a global scale. In recent years, the detection technology for airborne microorganisms has developed rapidly; it can be roughly divided into biochemical, immune, and molecular technologies.

关键词： Biosensor     Airborne microorganisms     Microbiological detection technology    

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标题 作者 时间 类型 操作

Digital image correlation-based structural state detection through deep learning

期刊论文

An efficient two-stage approach for structural damage detection using meta-heuristic algorithms and group

Hamed FATHNEJAT, Behrouz AHMADI-NEDUSHAN

期刊论文

Modeling considerations in seismic assessment of RC bridges using state-of-practice structural analysis

Ricardo MONTEIRO, Miguel ARAÚJO, Raimundo DELGADO, Mário MARQUES

期刊论文

Assessment of robustness of structures: Current state of research

Colin BRETT, Yong LU

期刊论文

Hot-dip galvanizing of cold-formed steel hollow sections: a state-of-the-art review

Min SUN, Jeffrey A. PACKER

期刊论文

Static-based early-damage detection using symbolic data analysis and unsupervised learning methods

João Pedro SANTOS,Christian CREMONA,André D. ORCESI,Paulo SILVEIRA,Luis CALADO

期刊论文

Dynamic material performance of cold-formed steel hollow sections: a state-of-the-art review

Cameron B. RITCHIE, Jeffrey A. PACKER, Xiao-Ling ZHAO, Amin HEIDARPOUR, Yiyi CHEN

期刊论文

结构健康监测数据科学与工程研究进展

鲍跃全, 陈智成, 魏世银, 徐阳, 唐志一, 李惠

期刊论文

智能电网状态估计方法最新进展综述

Gang WANG, Georgios B. GIANNAKIS, Jie CHEN, Jian SUN

期刊论文

水处理系统网络攻击的检测和定位：基于熵的方法

刘可1,汪慕峰2,麻荣宽1,张镇勇2,魏强1

期刊论文

Development of temperature-robust damage factor based on sensor fusion for a wind turbine structure

Jong-Woong PARK,Sung-Han SIM,Jin-Hak YI,Hyung-Jo JUNG

期刊论文

基于RTK GPS系统的结构安全监测系统研究

王人鹏,姚连璧,孟晓林

期刊论文

Approximation of structural damping and input excitation force

Mohammad SALAVATI

期刊论文

Temperature and structural responses of a single-section utility tunnel throughout fire exposure

期刊论文

Advances in airborne microorganisms detection using biosensors: A critical review

期刊论文