The incorporation of steel fibers in concrete imparts strain-hardening characteristics, significantly elevating the tensile toughness mixture. However, this enhancement often comes at expense reduced workability and strength, posing challenges achieving optimal densification practical engineering applications. Moreover, improvement performance fiber-reinforced (SFRC) hinges on establishment interfacial transition zone (ITZ) between paste. It has been established that introduction fly ash...

Abstract: This article presents the theoretical and in situ experimental studies on state-derivative feedback control of bridge cable vibration using semiactive magnetorheological (MR) dampers. The is accomplished only one MR damper accelerometer collocated near lower end cable. Within framework reciprocal state space (RSS), linear quadratic regulator (LQR) technique applied to formulate law derive estimator gains for real-time strategy directly uses acceleration information estimation,...

Techniques based on the elasto-magnetic (EM) effect have been receiving increasing attention for their significant advantages in cable stress/force monitoring of in-service structures. Variations ambient temperature affect magnetic behaviors steel components, causing errors sensor and measurement system results. Therefore, compensation is essential. In this paper, force cables using smart elasto-magneto-electric (EME) sensors was investigated experimentally. A back propagation (BP) neural...

Cracks can be important performance indicators for determining damage processes in new and existing concrete structures. In recent years, deep convolutional neural networks (CNNs) have shown great potential automatic crack detection segmentation. However, most of the current CNNs tend to lose high-resolution details and, therefore, lead blurry object boundaries; this results poor images with complex backgrounds engineering This study proposes a two-stream boundary-aware segmentation (BACS)...

ABSTRACT Although integrating inerters with conventional passive vibration control systems has shown enhanced performance in various studies, experimental investigations remain limited. Real‐time hybrid simulation (RTHS) models the well‐understood portion of a structure as numerical substructure (NS) while physically testing structural component interest (ES). Testing inerter ES RTHS is considered cost‐effective and less facility demanding. However, experiences time delay induced by actuator...

Elasto-magnetic (EM) methods have been widely adopted in civil engineering for the tension monitoring of cables, hangers, and prestressed strands due to their noncontact nondestructive properties. However, practical applications, variations installation positions EM sensor often lead significant differences wire length. This results changes resistance, which can affect measurement results. Therefore, this study, we developed a multiphysics coupling finite element model systematically analyze...

Abstract Climbing robots present transformative potential for automated structural inspections, yet their deployment remains limited by the reliance on manual control due to absence of effective environment perception and path‐planning solutions. The critical bottleneck lies in difficulty generating accurate planning maps solely through onboard sensors challenge capturing open, large‐scale, irregular environments (e.g., cable‐stayed bridge towers). This study proposes a building information...

As the world's first implementation of magnetorheological (MR) smart damping technique in bridge structures, a total 312 semi-active MR dampers (RD-1005, Lord Corporation) have recently been installed for rain–wind-induced cable vibration control on cable-stayed Dongting Lake Bridge, China. This project has undergone several stages situ experiments and tests: (i) modal tests undamped cables, (ii) forced MR-damped trial (iii) monitoring responses under rain–wind excitations, (iv) comparative...

An elasto-magnetic (EM) and magneto-electric (ME) effect based elasto-magneto-electric (EME) sensor has been proposed recently by the authors for stress monitoring of steel cables with obvious superiorities over traditional sensors. For design optimization engineering application EME sensor, theory is interpreted a developed model taking into account EM coupling ME effect. This able to approximate magnetization changes that structural component undergoes when subjected excitation magnetic...

Geopolymer enhances mechanical properties with polyvinyl alcohol (PVA) fibers, but there has been limited research exploring low PVA fiber dosages for in 3D printing or shotcrete. This study experimentally investigated slag and fly ash-based geopolymer mixtures reinforced 0.1%, 0.15%, 0.2% by volume as well a control group without fibers. These were prepared using ash, quartz sand, powder, silica fume, an aqueous sodium silicate solution the alkali activator, addition of to enhance composite...

Monitoring of stresses in in-service steel structural components is challenging, but crucial to safety and health evaluation. Elasto-magnetic (EM) sensors are promising for stress monitoring components, because their great capabilities actual measurement, noncontact monitoring, long service life. However, the low sensitivity, signal-to-noise ratio, slow response, complicated installation EM limit application flexibility. This paper presents a sensor (SSMS) using magneto-electric (ME) sensing...

Switch rails are indispensable components of high speed railway systems, which have stringent nondestructive testing requirements owing to the severe operating conditions. In this article, an ultrasonic guided wave method is proposed for defect detection and localization using independent component analysis (ICA). The temperature effect included in data matrix by a random selection signals measured at different temperatures. A damage index named average standard Euclidian distance (ASED)...

Health monitoring of cables in civil engineering structures is a great challenge, because their integrity directly affects the safety whole structure. A magnetostrictive (MS) transducer-based guided wave method for cable damage detection presented this study. energy-based proposed localization and severity assessment. The energy transmission coefficient at location as measure condition. Firstly, dispersion properties were analyzed on steel strand with seven helical wires using...

The dynamic coupling interaction of maglev train–controller–rail–bridge (TCRB) system has the potential to induce instability travelling trains. conventional contact-type finite element model (FEM) method is difficult in modelling TCRB presence non-contact levitation between vehicle and guideway incorporating time-variant mechanism suspension controllers a high-dimensional FEM. In this study, we develop new method, which endeavours overcome above difficulties, for its context vector...

Existing convolutional neural network (CNN)-based methods have limitations in long-term multi-damage recognition for civil infrastructures. Owing to catastrophic forgetting, the accuracy of such networks decreases when structural damage types keep increasing progressively, not mention other issues as an increased number model parameters and data storage. Thus, this study proposes a continual-learning-based (CLDRM) relevant components By integrating Learning without Forgetting (LwF) method...

Looseness detection in bolt-connected joints is vital ensuring safety and keeping the service stability of structures. Thus, various structural health monitoring methods have been introduced for bolt looseness by many researchers. However, most them studied a single bolt, which may not be readily applicable to actual In this study, SH-type guided wave-based method presented localization joint with multiple bolts using small number magnetostrictive transducers. A normalized wave energy...

Bridges play an essential role in transportation and economics. Since the loss is significant event of bridge damage, monitoring structure health important. One important tasks anomaly detection. The detection a challenging problem since real-world data collected by sensors are usually contaminated large non-Gaussian noises. To address this issue, we propose correntropy-induced weighted generative adversarial network (CWGAN) for Specifically, first correntropy-based generator, which has...

The Tsing Ma Bridge is a cable suspension bridge carrying both highway and railway. A health monitoring system called wind structural (WASHMS) has been installed in the operated since 1997 to monitor performance its associated loads environments. However, there exists possibility that worst conditions may not be directly monitored due limited number of sensors complexity structure loading conditions. Therefore, it an essential task establish relationships between critical...