This study addresses a key issue that prevents the wide application of the novel predominant natural frequency (PNF)‐based method for bridge scour monitoring, which is also applicable to the frequency‐based health monitoring of other structures with soil–structure interaction. This issue is that no theory or method is currently available to guide the prediction of scour depths based on measured PNFs

We develop an efficient Bayesian model class selection method for vector autoregressive (VAR) model order selection, so that uncertainties of system identification can be rigorously quantified, and structural dynamic properties can be well captured. The general theory of Bayesian model class selection is first derived in terms of a VAR model to construct the evidence of a model class that is used as

Inerter‐augmented tuned mass dampers (TMDI) demonstrated considerable performance robustness. A tuned liquid column damper (TLCD) offers reduced mass ratio than a TMD for identical efficiency. TLCD provides additional dissipation by flow through orifice. Motivated by these attributes, this study employs an inerter in conjunction with a TLCD. The compliance for installation of an inerter is availed

Within civil engineering, the inclusion of control strategies is confined to limited application areas due to the practical overhead and an alleged conservatism. This paper presents a simple yet flexible framework for experimental testing of closed‐loop structural systems. Compared to alternative existing solutions, the proposed framework requires limited programming knowledge, which heavily simplifies

The tuned mass damper inerter (TMDI) is a linear passive dynamic vibration absorber widely considered in the literature to mitigate the motion of dynamically excited primary structures. Previous studies focused on optimal TMDI tuning approaches and connectivity arrangements to improve motion control efficiency for some given primary structure. This paper investigates the influence of the elastic and

Crack detection provides valuable information concerning the location, extent, type, and severity for structural health monitoring of civil infrastructures. Due to the influence of uneven lighting and imaging noise, as well as the debris, various textures, and materials of the different civil structure, detecting cracks in the surface images of civil infrastructures remains challenging in that there

The objective of the present study is to investigate a new energy dissipation system that combines the positive stiffness of the resetting passive stiffness damper (RPSD) with the negative stiffness of a passive negative stiffness device (PNSD). The displacement‐based adjustable stiffness and energy dissipation (D‐BASED) system can be designed to have independent damper stiffness and energy dissipation

The precision error of the Brillouin optical time domain reflectometry (BOTDR)‐based distributed fiber optic strain measurement is normally evaluated based on strain change from the initial zero strain state. In many structural health monitoring applications, however, there is initial strain caused by the installation process of a fiber optic sensor cable to a structure. Engineers are interested in

A data‐driven approach for modeling bridge buffeting in the time domain is proposed based on the structural health monitoring (SHM) system. The long short‐term memory (LSTM) network is applied to model the bridge aerodynamic system with the potential fluid memory effect which is characterized by an uncertain time lag between inflow wind and the structural response. SHM is incorporated into this data‐driven

Bridge influence surface is an important tool to study the bridge responses under the moving loads, which contains tremendous structural information. The structural deterioration during the service life would induce the variation of the bridge influence surface, which makes it essential to identify the influence surface exactly from the field measured data under moving vehicle loads. This paper firstly

Harvesting cable vibration energy via electromagnetic dampers has been demonstrated as potential power supplies for wireless sensor networks or semi‐active control devices. However, how the inerter enhances the energy harvesting performance of the electromagnetic damper when applied to a bridge stay cable remains largely unknown. This paper presents a full‐scale experimental study on harvesting the

During the operating lifecycle of civil structures, cracks will occur inevitably, which may pose great threat to the safety of the structures without timely maintenance. Digital image processing techniques have great potential in automatically detecting cracks, which can replace the labor‐intensive and highly subjective traditional manual on‐site inspections. Therefore, this paper presents a crack

Magnetorheological (MR) damper was a kind of smart instrument, and it was very suitable for the semi‐active control. In this research, a large‐scale MR damper working in the shear mode of the MR fluid was developed to enhance the mechanical properties of the shear wall. The influence of MR damper on the mechanical properties of the shear walls, such as stiffness, strength, ductility, and the energy

Finite element (FE) model updating in multi‐objective framework helps for better understanding of overall performance in updating (under various variations of weightages assigned to basic components of the objective function) along with providing scope for better judgmental selection. A FE model updating in multi‐objective framework is proposed with no requirement of repeated eigen‐solution along with

Condition assessment and health monitoring (CAHM) of built assets requires effective and continuous monitoring of any changes to the material and/or geometric properties of the assets in order to detect any early signs of defects or damage and act on time. Most of the traditional CAHM techniques, however, depend on manual labour despite that, in some cases, the inspection environment can be unsafe

No abstract is available for this article.

This paper constitutes the numerical companion of the experimental work on vibration‐based monitoring of a small‐scale wind turbine (WT) blade. In this second part, a numerical benchmark is established for condition assessment of a Windspot 3.5‐kW WT blade. The aim is to supplement the companion experimental work with a physical model exposed to diverse operational conditions, loading scenarios, and

The negative stiffness damper (NSD) has been gaining increasing attention for cable vibration control owing to its superior energy dissipation capacity. Recent research has implied that a flexible support, rather than a rigid support, might be advantageous to improving the performance of an NSD. This study further simplifies the design of an NSD for multimode cable vibration control by leveraging the

The early detection of anomalies associated with changes in the behavior of structures is important for ensuring their serviceability and safety. Identifying anomalies from monitoring data is prone to false and missed alarms due to the uncertain nature of the infrastructure responses' dependency on external factors such as temperature and loading. Existing anomaly detection strategies typically rely

The influence of varying environmental/operational situations on damage‐sensitive properties is a vital problem when the vibration responses are employed for structural damage detection. In this work, singular spectrum analysis (SSA) and the statistical control chart are combined to develop a new damage identification approach for structural damage detection under variable environmental/operational

Because the vibration of buildings and bridges is often small in amplitude, low in frequency, and wide in frequency bandwidth, designing a conventional energy harvester with the natural frequency low enough to coincide with the low excitation usually accompany with very large mass and volume. However, it is very important to use portable energy harvester (usually with higher natural frequency) to obtain

Electrical resistance tomography (ERT) is a non‐destructive evaluation (NDE) technique that measures the voltages when electric current is injected in a body where damage induced electrical conductivity changes occur. Accurate and efficient damage identification in carbon fiber reinforced polymer (CFRP) composites using ERT requires the optimal selection of the sensing sites. The present work uses

The present work proposes a baseline‐free method to assess debonding on composite panels. The method is based on regressive Gaussian processes (GP) used to obtain vibration modes free of noise. A Bayesian scheme is implemented to allow the automatic determination of the model hyperparameters. The estimation of the undamaged vibration modes is carried out by modifying the optimal hyperparameters determined

In this work, homogenisation of textile composite models is studied in order to increase the accuracy of wave dispersion predictions in such complex structures. A multiscale methodology is formed involving (i) calculation of the ultrasonic wave propagation through a detailed mesoscale finite element model of the textile and (ii) updating the mechanical properties of a semi‐analytical finite element

This paper proposes a novel approach for structural damage identification with a limited number of modal measurements and ultra‐sparse Bayesian regression. An iterative Cross Modal Strain Energy (CMSE) method is proposed for establishing the linear regression model. It can be applied to enlarge the number of available modes, thus alleviating the problem of insufficient mode orders. In addition, the

This paper proposes an enhanced vibration decomposition approach based on analytical mode decomposition (AMD) and multisynchrosqueezing transform (MSST). Although AMD‐based low‐pass filter has been applied for signal decomposition with time‐varying cutoff frequencies, these cutoff frequencies are usually manually selected from the wavelet scalogram of the target signal. This process therefore significantly

Nondestructive characterization of wood exposed to ultraviolet (UV) radiation is a critical task for health monitoring purposes since photodegradation affects the mechanical properties of materials. The main purpose of this study was to assess the effect of UV radiation on the elastic and viscoelastic properties of fir, poplar, oak, and alder wood using the Lamb wave propagation method. The Lamb wave

This paper presents an approach for the integrated process of classification and instance segmentation of leakage‐area and scaling images from shield tunnel linings. For this purpose, the previously established dataset of leakage‐area images by the authors is enlarged by means of adding scaling ones. Afterwards, data augmentation is implemented to enrich the database in the classification dataset,

For large‐span bridge monitoring, displacement measurement is essential. However, it remains challenging to accurately estimate bridge displacement. When displacement is calculated by the double integration of acceleration, a low‐frequency drift appears in the estimated displacement. Displacement can also be estimated from strains based on the Euler–Bernoulli beam theory. However, prior knowledge of

Knowledge of the camera motion is important in the applications of structural dynamic response measurement using a vision‐based approach because in most of the field measurements, such motion can be non‐trivial and the accuracy of dynamic response measurements is strongly affected by the camera motion. This paper presents a new framework for camera motion estimation and vision‐based displacement measurement

Connecting cables with cross‐ties to form a cable network is a viable solution for suppressing cable vibrations. The cross‐ties need to be pretensioned to prevent them from being completely released and suffering from shocks during cable vibrations. However, most existing studies have ignored the cross‐tie pretension for dynamic analysis. Therefore, this study investigates the effects of cross‐tie

Recent advances in visual sensing technology and unmanned aerial vehicle (UAV) provide an effective tool to capture the as‐is conditions of infrastructure and thus have gained their popularity in infrastructure inspection and documentation. To facilitate this process, several recent studies have proposed automated methods for detecting concrete cracks from UAV‐based images. This study is aimed at proposing

Each operational modal analysis (OMA) technique may produce significant errors during the identification procedure due to the applied methodology, environmental/operational conditions, and instrumentation. Consequently, those errors can adversely affect the quality of identified parameters. In this context, this study aims at providing a comprehensive discussion on the propagation of predictions errors

Civil building structures equipped with active or semi‐active control devices help mitigate structural damages in the presence of any seismic excitation. These advanced mitigation systems require additional devices such as sensors, actuators, and communication systems that increase issues related to energy consumption, measurement errors, and costs of implementation. In this work, we propose a methodology

Rapid crack assessment is widely thought to be critical for monitoring and maintaining roads in appropriate conditions. In this paper, a novel crack‐affected risk‐informed assessment framework is proposed for the monitoring and maintenance of roads. The framework includes five steps: data collection, crack detection, crack location extraction, crack real‐size calculation, and risk‐level assessment

Many damage detection strategies have been developed within the field of structural health monitoring, showing promising results in real‐world applications. Most of them rely on the use of modal parameters to locate damage in structures. However, they are highly dependent on the process of extracting such characteristics, which contains uncertainties and needs to be adapted specifically for each structure

This paper develops a trend line‐based algorithm for signal decomposition in which the adjusted Savitzky–Golay filter is utilized to initiate the decomposition process. In this line, the proposed algorithm determines some special trend lines, mainly composed of the natural frequency of a bridge. An easy‐to‐implement algorithm is then provided to formulate this process and to decompose the given signal

Advances in smart infrastructure produces a natural demand of system identification techniques for structural health and performance monitoring that can be scaled to regions and large asset inventories. Conventional approaches require sensors to be installed, often in long‐term deployments, on the monitored infrastructure systems, which is a costly undertaking when thousands of systems (e.g., bridges)

Stochastic subspace identification (SSI) and Bayesian methods are now the main representative approaches for high‐performance system identification and uncertainty quantification. Both methods have been extensively used in engineering applications for the last 10 years despite them having quite different views in principle. However, no comparison has been carried out to inform which method is actually

Past research has shown that negative stiffness may be used to good effect in mitigating the response of seismically excited structures. This has led to the emergence of several new negative stiffness devices of varying sizes, complexity, effectiveness, and practicality. In this study, a passive negative stiffness device composed of curved leaf springs using geometric nonlinearity is presented. The

Ancient architectures have a lot of distinctive patterns on their component surfaces. But due to the wind and the Sun, the patterns will present extensive deficiencies, which are not conducive to the routine inspections and the subsequent repair work. To overcome these limits, an automatic deep learning‐based method of segmentation, inpainting, and classification for defective patterns on ancient architecture

This paper presents an overview of the structural performance monitoring system for a butterfly‐shaped arch footbridge located at The Hong Kong Polytechnic University. The system is the product of a multidisciplinary academic collaboration of the pooling expertise of four academic departments, namely, structural engineering, traffic engineering, surveying, and optical communication engineering. This

Controlled deployment of a foldable tensegrity‐membrane system is investigated in this article. A membrane folding technique referred to as the spiral folding pattern is applied to the attached membrane to achieve compact folded shapes for the system. The foldable tensegrity‐membrane system experiences transitions between two system configurations (i.e., the tensegrity configuration and the tensegrity‐membrane

Supplemental damping devices present an attractive means to improve the structural system. Typically, dampers are designed after the structural system is selected, and they are added to increase structural damping and effectively reduce the dynamic response. On the other hand, topology optimization offers a possibility to obtain an efficient structural system but not the damper placement. Therefore

Vibration serviceability under pedestrian‐induced loading is often the governing criterion for slender footbridge design. During the design stage, the structural response is generally predicted using simplified load models. In these models, neither human‐human interaction (HHI) nor human‐structure interaction (HSI) is taken into account. The present paper starts by characterizing the impact of HHI

Connection failure between precast components greatly increases the risk of collapse of a precast concrete (PC) frame during earthquakes. In this study, a PC frame structure system with sector lead‐viscoelastic damper (SLVD) is proposed, in which the SLVD not only protects the wet connection but also absorbs input energy in earthquakes. Two two‐storey two‐bay PC frame were constructed, one without

In this study, acoustic emission (AE) was used to monitor the whole process of tensile and fracture of the self‐compacting rubber concrete (SCRC) under four‐point bending. The AE activities of SCRC during the stretching and fracture process were analyzed by statistical methods to correlate the process of crack propagation with changes in mechanical properties. And by comparing the tensile and fracture

As an essential part of the steel structure, looseness of bolted joint greatly affects the integrity of the structure; however, there is a lack of technologies to detect the multibolt‐loosening condition in practical applications. This study proposes an automatic method based on mask and region‐based convolutional neural network to detect bolt looseness by labeling the defect to each pixel in an image

No abstract is available for this article.

Health monitoring of cables in civil engineering structures is a great challenge, because their integrity directly affects the safety of the whole structure. A magnetostrictive (MS) transducer‐based guided wave method for cable damage detection is presented in this study. A wave energy‐based method is proposed for damage localization and severity assessment. The wave energy transmission coefficient

Structures are subjected to various kinds of structural deterioration and damage with use over long periods of service life. For the safety assurance of structures, it is very important to have a long‐term monitoring system and continuous assessments of structural integrity using the measured data. The objective of this paper is to develop an anomaly detection algorithm for a long‐term structural health

Ultrahigh performance concrete (UHPC) is one of the recent advancements in construction building materials and popularly used as a precast applications or strengthening material. The current paper attempts to improve understanding about fracture and failure mechanisms of UHPC application as a strengthening material using acoustic emission (AE) technique. The paper proposes an integrated and nonintegrated

This paper presents an active fast vibration control (AFVC) strategy applicable to rotating machinery. The actuator utilized is a novel active magnetic bearing that could achieve the integration with a hole‐pattern seal. The control algorithm leading to an electromagnetic force with an optimal combination of phase and magnitude under a certain speed is based on the principle of feedforward compensation

The conservation of historical buildings requires periodic inspections, maintenance, and/or strengthening interventions, resulting in significant costs. The accurate estimate of the structural condition may contribute to optimize the allocation of resources. With the diffusion of innovative technologies of Structural Health Monitoring (SHM), several permanent monitoring systems have been installed

Traditional damage identification (DI) approaches are based on the structural modal information, which is unstable and affected by the environment. This study proposes a novel bridge DI algorithm for the elastically supported beams with a constant cross‐section. The expression of the equivalent damage load (EDL) is deduced from the force–displacement relationship. The EDL only exists in the damaged

In this study, a novel modal control strategy by means of semi‐actively lockable joints is proposed. The control strategy allows for a directed flow of energy between vibrational modes, which makes it suitable not only for vibration attenuation purposes but also for energy scavenging driven by electromechanical energy harvesters. The proposed control strategy is an extension of the prestress‐accumulation

The optimal configuration of the sensor system is extremely critical to effectively control the test cost and ensure the quality of the collected data for structural health monitoring (SHM) system. Different from the traditional sensor configuration criterion, the information entropy measure aims to minimize the uncertainty of structural model parameters to be identified, which can ensure that the

Cables are essential components of the cable‐stayed bridges as they serve as the main load‐bearing component. Hence, continuous monitoring of such cables becomes necessary as they are vulnerable to the fatigue damage induced by dynamic loads. Sensors are attached to the cables to examine the health of the cables; however, these contact‐based sensors can malfunction in harsh weather condition, which