High-strength Steel Wires Research Articles

Experimental study on the flexural behavior of reinforced concrete beam strengthened with novel prefabricated HSSM-UHPC thin plate

Ultra-high performance concrete (UHPC) has been used to strengthen reinforced concrete (RC) structures recently. Although UHPC has high compressive strength, the tensile strength is still low and, the high curing condition on site requirements of UHPC may hinder the further application in complex condition. In this study, a novel prefabricated UHPC thin plate, which is reinforced with high-strength steel wire strand meshes (HSSM), is proposed for rapidly strengthening RC beams. In order to understand the flexural performance of RC beams strengthened with the prefabricated HSSM-UHPC thin plate, four-point bending tests were conducted on three beams including one unstrengthened RC control beam (CB), one cast-in-place HSSM-UHPC strengthened beam (SUB) and one prefabricated HSSM-UHPC strengthened beam (PSUB). The failure modes of the beams were investigated and, the crack development process of the test beams was detailly observed by digital image correlation (DIC). Experiment results showed that compared with CB, the cracking, peak load of SUB and PSUB increased by 25.30%, 28.5% and 19.8%, 26.4%, respectively. However, the deflection ductility of the strengthened beams slightly decreased. Finally, calculation model and theoretical equation for predicting the cracking as well as peak flexural capacity of HSSM-UHPC plate strengthened beams were proposed. Comparison between theoretical and test results showed that the proposed model can accurately predict the cracking and peak capacity of the strengthened beams, and can be used for strengthening design.

Experimental study on seismic performance of seismic-damaged precast steel reinforced (recycled) concrete frame structure after strengthened and repaired

In order to understand the seismic performance and failure mechanism of the seismic-damaged prefabricated steel (recycled) concrete frame after strengthening and repairing, this paper uses four different strengthened methods, including carbon fiber reinforced polymer (CFRP), high-strength steel wire cloth (HSSWC), oblique support and enveloped steel jacket. Four seismic-damaged prefabricated steel (recycled) concrete frames were strengthened by single or composite strengthening, and low-cycle reciprocating failure tests were carried out on all frame specimens. The final failure mode of the reinforced specimens under simulated seismic load was observed. The seismic performance indexes such as load-displacement (P-Δ) hysteresis curve, skeleton curve, and stiffness degradation of each specimen before and after strengthening were compared and analyzed. The test results show that the strengthening methods used in this test can effectively restore the seismic performance of the seismic-damaged prefabricated steel (recycled) concrete frame. The specimens show a typical ductile failure mode, and the P-Δ hysteresis curve of the specimens is relatively full. For a single strengthened form, CFRP strengthened can more significantly restore and improve the ductility of the specimen than HSSWC strengthened, but the cumulative energy dissipation capacity of the specimen after HSSWC strengthened is stronger. The bearing capacity of the specimens after composite-strengthened is significantly improved, and the damage degree of the structure is reduced. The addition of oblique support and an enveloped steel jacket can provide greater lateral stiffness for the specimens and improve the failure mode of the specimens. The results of this paper can provide a scientific basis for the selection and design of strengthened methods for prefabricated steel-reinforced concrete structures after earthquake damage.

Point cloud data-driven modelling of high-strength steel wire corrosion pits considering orientation features

We propose a corrosion pit modelling approach of high-strength steel wires considering orientation features using surface point cloud data, collected by three-dimensional laser scanning. Corrosion pits were identified through density-based spatial clustering of applications with noise (DBSCAN). The identified corrosion pits could be modelled as a semiellipsoid considering orientation features. The Gaussian copula model was utilised to describe the joint distribution of the geometric parameters of the corrosion pits. This approach will be valuable for simulation of the surface morphology of corroded high-strength steel wires.

Tensile Constitutive Model of Engineered Cementitious Composites Reinforced by High-Strength Steel Wire Mesh.

The presentation of a constitutive model could help researchers to predict the mechanical behavior of a material, which also contributes to the further generalization of the material. This paper is to explore the tensile constitutive model of engineered cementitious composites (ECCs) reinforced by high-strength steel wire mesh based on experiments and numerical simulations. DIANA was used to simulate the tensile process of the specimens, and experiments were carried out to validate the numerical model. The effect of the ECCs' tensile strength, reinforcement ratio and specimen size were considered during the specimen design process. The results showed that most of the errors of the simulated values compared to the experimental results were within 5%, which proved that the numerical model was quite accurate. The proposed constitutive model revealed the different roles played by ECCs and high-strength steel wires at different stress stages, and the calculation results were in high agreement with the simulation results, indicating the effectiveness of the constitutive model. The study in this paper could provide an important reference for the popularization and application of ECCs reinforced by high-strength steel wire mesh.

Test and simulation of corroded high strength steel wires: From scanned morphology feature to mechanical degradation

This paper presents a coupled experimental-numerical study aimed at understanding the mechanical behavior of corroded high-strength steel wires. Accelerated corrosion tests were conducted on steel wires to achieve varying corrosion levels, and the mechanical properties of the corroded wires were characterized by tensile test. The surface morphology of the corroded wires was derived by 3D optical scanning and point cloud models was generated that precisely captured the surface pits. These models were then converted into solid models by surface reconstruction and finite element discretization. Numerical simulations, based on reconstructed surface morphology, effectively predict key mechanical characteristics and align closely with experimental data. The research establishes relationships between statistical pit parameters and macro-mechanical properties, providing valuable insights for predicting the mechanical performance of corroded wires and evaluating the integrity of structures compromised by corrosion.

Experimental Study on the Degradation of Mechanical Properties of Galvanized High-Strength Steel Wires for Bridge Cables Considering Prefatigue Effect

Experimental Study on the Degradation of Mechanical Properties of Galvanized High-Strength Steel Wires for Bridge Cables Considering Prefatigue Effect

A data-driven model for predicting fatigue performance of high-strength steel wires based on optimized XGBOOST

Fatigue damage to high-strength steel wires in cable-stayed bridges can significantly compromise bridge reliability. Previous studies have primarily focused on isolated factors such as corrosion rate or stress ratio, failing to capture the complex interactions among multiple variables. Consequently, a few researchers have developed data-driven models using machine learning methods. However, these unoptimized models exhibit limited prediction performance and convergence speed, and lack in-depth analysis of feature effects on the models. To address these shortcomings, this study combines the Gray Wolf Optimization (GWO) algorithm with the XGBoost model to create a data-driven approach for predicting the fatigue performance of high-strength steel wires under multiple influencing factors. The model is validated using both journal and experimental datasets. Results demonstrate that the proposed GWO-XGBoost model achieves high prediction accuracy (R2 = 0.94) and strong generalization ability, and exhibits rapid convergence in optimizing hyperparameters, outperforming BP neural networks and ridge regression models. Additionally, the study highlights the primary effects of wire mass loss, stress range, and average stress on fatigue life prediction, emphasizing the importance of preventing corrosion and managing stress levels to enhance wire fatigue performance. Analysis of model parameters reveals that alpha and colsample_bytree are critical for maintaining model stability and minimizing error rates, while maximum depth and learning rate significantly impact model complexity and convergence. This suggests that proper tuning of these parameters is essential for ensuring model robustness, efficiency, and generalization ability.

Experimental Investigation of Corrosion Behavior of Zinc–Aluminum Alloy-Coated High-Strength Steel Wires under Stress Condition

Experimental Investigation of Corrosion Behavior of Zinc–Aluminum Alloy-Coated High-Strength Steel Wires under Stress Condition

The effect of strain lag for the flexural enhancement of RC beams strengthened by HMRE under secondary load

This paper presents experimental, numerical and theoretical studies on damaged reinforced concrete (RC) beams strengthened with high-strength stainless steel wire rope (HSSSWR) meshes reinforced engineered cementitious composite (ECC), in order to evaluate the influence of strain lag caused by secondary load on the strengthening effect. Four-point bending tests were first performed to investigate the failure mechanism of HSSSWR meshes reinforced ECC (HMRE) strengthened RC beams under secondary load. Then the parameters were comprehensively studied by finite element (FE) simulation. The results show that even under secondary load, the HMRE can still exhibit good crack-control capacity on concrete and gave significant enhancement in the flexural performance of RC beams. The strain lag of the strengthening layer, which resulted in inadequate utilization of its strength, was intensified with an increase in the initial load level or reinforcement ratio of the longitudinal steel bars, but was mitigated as concrete strength, ECC thickness, reinforcement ratio of HSSSWRs, or HSSSWR ultimate strength increased. Finally, a calculating model was proposed for predicting the bearing capacity of the damaged RC beams strengthened with HMRE, considering strain lag caused by secondary load.

Seismic response of RC short columns strengthened by high-strength stainless steel wire rope meshes reinforced ECC jacket

A novel strengthening scheme of high-strength stainless steel wire rope (HSSSWR) meshes reinforced engineering cementitious composite (ECC) jacket was used to strengthen the reinforced concrete (RC) short columns in this paper. The seismic performance of short columns after being strengthened was investigated, considering the changes in the strengthening scheme, and the spacing of lateral HSSSWRs. The failure mode, hysteresis behavior, envelope curve, ductility, energy dissipation, stiffness degradation, and strength degradation were introduced specifically based on the analysis of six full-scale short columns. The test results show a significant enhancement in the seismic performance of the strengthened short columns, especially in ductility and energy dissipation, which were increased by 49.4–98.4 %, and 149.3–713.2 %, respectively. The placement of HSSSWRs in ECC jacket proved to be effective in enhancing the strengthening effect of the jacket. A prediction model for the shear capacity of the strengthened columns was proposed using the Modified Compression Field Theory (MCFT), and the predicted results were in good agreement with the test results presented in this paper and in relative study.

Analysis of Strain Transfer Efficiency Coefficient of a Novel High-strength Steel Wire FBG Sensor

Analysis of Strain Transfer Efficiency Coefficient of a Novel High-strength Steel Wire FBG Sensor

Experimental Study on Bearing Capacity Reduction of the Steel Wire-Rings in Flexible Barriers Due to Corrosion

Flexible barriers mitigate geological hazards, relying crucially on wire-ring nets to intercept rockfalls and debris. However, constant exposure to natural environments renders their metal components susceptible to corrosion, affecting the protective efficacy. To investigate the changes in mechanical properties of wire-ring nets resulting from corrosion, the neutral salt spray tests followed by quasi-static tests on uncoated, Zinc-coated, and Galfan-coated high-strength steel wires and wire-rings were conducted. These tests established the correlation between the steel wire's breaking force and its weight loss rate, ultimately facilitating the creation of a pertinent mathematical model. The decline in the breaking force of various types of wire-rings due to corrosion was compared, indicating the influence of corrosion duration, number of winding turns, winding techniques, and coating types on the wire-ring's mechanical performance. Subsequently, the formula for calculating the breaking force of wire-rings in relation to the weight loss rate of the steel wire was derived. Finally, based on the linear relationship between the capacity of single wire-rings and wire-ring nets, a formula was established to estimate the puncturing force of wire-ring nets under different atmospheric corrosion periods. This predictive model provides a basis for the durability design of flexible barrier with different anti-corrosion measures under various atmospheric conditions, and also offers specific insights into maintenance strategy for the existing flexible barriers.

Research and development of corrosion monitoring sensor for bridge cable using electrical resistance probes technique

A cable corrosion monitoring sensor with a temperature compensation probe has been designed and manufactured to monitor the corrosion of high-strength steel wires in the transition zone between the cable body and the anchorage. The influence of temperature and tensile force on the resistance of steel wires was thoroughly investigated. Reliability tests were conducted on the temperature compensation probe, along with salt spray corrosion tests on the corrosion sensor. The research results demonstrated that, compared to the temperature sensor, temperature compensation probe can better reflect the actual temperature of the corrosion sensor and provide effective temperature compensation for the corrosion sensor. Moreover, the developed corrosion sensor can effectively reflect the mass loss rate of the corrosion probe. The sensor is capable of detecting a corrosion level as low as 0.02 % of the complete steel wire mass, which corresponds to an average corrosion depth of 0.412 μm.

Evaluating the load-bearing capacity of corroded cables in long-span cable-stayed bridges: A stochastic corrosion field simulation approach

In cable-stayed bridges, cables are the primary load-bearing components. The corrosion of high-strength steel wires within these cables can degrade their bearing capacity, which in turn impacts the safety and durability of long-span cable-stayed bridges. To address this concern, a three-dimensional random field model was proposed in this study to evaluate the residual bearing capacity of corroded cables. This model considers the random distribution of the strength of high-strength wires along both axial and cross-sectional directions caused by corrosion. Subsequently, a three-dimensional spatial correlation model was developed based on field test results from two stay cables in service on an actual bridge. This model represents the strength distribution of corroded high-strength steel wires within the cable. Finally, the evaluation model developed in this study was employed to assess the bearing performance of two corroded cables with different degrees of corrosion. The results were then compared with test outcomes. The results show that the proposed evaluation model can accurately estimate the bearing performance of corroded cables.

A stochastic modeling method for three-dimensional corrosion pits of bridge cable wires and its application

ABSTRACT Cables have usually served as critical and vulnerable structural components in long span cable-supported bridges. Cable inspections revealed that corrosion, fatigue or coupled corrosion-fatigue were the ones of the main failure mechanisms. This paper proposed a stochastic modelling method for three-dimensional (3-D) corrosion pits of high-strength bridge wires, which can be applied to rapid fatigue life evaluation according to mass loss caused by surface corrosion pits of bridge wires nondestructively. High-strength steel wire specimens dismantled from the cable-stayed bridge served for 15 years were scanned to obtain the original surface corrosion data. The spatial position coordinate of corrosion pits were considered as random variable and can be well fitted by uniform distribution. While the number of corrosion pits can be fitted with generalized extreme value (GEV) distribution. The uniform corrosion depth du, which can be equivalent to mass loss rate, was calculated as the input corrosion parameter for 3-D corrosion pit modelling. The maximum pitting depth dmax for the steel wire was found to be associated with du. The geometric parameters for individual corrosion pits were recognized as pit depth d, depth-to-width ratio d/b, and aspect ratio b/a, which were fitted with different probability distributions. What follows is 3-D spatial corrosion pits simulation based on the individual corrosion parameter that were sampled and combined from the corresponding probabilistic distributions. Hereafter, fatigue life evaluation of corroded wires was conducted based on equivalent surface defect method and compared with the experimental results, verifying the effectiveness of the proposed modelling approaches.

Constitutive model and mechanical properties of grade 1960 steel wires under fire and post-fire conditions

The structural performance of the bridges under fire accidents has gradually become one of the hot issues in bridge safety. The fire resistance of the cables is a critical factor in the structural performance of cable-stayed bridges. The mechanical properties of 1960 high-strength steel wires at elevated temperatures were investigated in this paper. Tensile tests on steel wires were performed at various high temperatures and after cooling. The failure modes and mechanical properties of steel wires after heating and cooling were investigated in detail. The results show that mechanical properties such as yield strength and ultimate strength are continuously degraded as temperature rises at both high-temperature and after-cooling test, while elastic modulus and elongation are not changed significantly after heating–cooling process. A constitutive model was proposed based on two-segment Ramberg–Osgood model for both high temperature and cooling processes. It is shown that the proposed model well reflects the material behavior for both processes.

Temporal and Spatial Variation Study on Corrosion of High-Strength Steel Wires in the Suspender of CFST Arch Bridge

The corrosion and degradation behavior of high-strength steel wires during service directly affect the safety and usability of suspenders in steel pipe concrete arch bridges. In this study, three different types of specimens were fabricated using steel wires extracted from the suspenders of an 11-year-old in-service arch bridge and subjected to accelerated corrosion tests with acetic acid. Considering the differential diffusion processes of corrosion factors caused by varying degrees of damage to the suspender sheath, the spatial corrosion variability of steel wires at different positions within the suspender cross-section was investigated. Experimental results indicated a two-stage characteristic in the corrosion process of individual galvanized steel wire samples. In the first corrosion stage, the microstructure on the corroded steel wire surface evolved from a dense crystalline structure to a porous one. In the second corrosion stage, corrosion products accumulate on the steel wire substrate, subsequently further aggregating into sheet-like structures. The maximum pitting factor of individual steel wire samples from a specific area could be described by a Type I extreme value distribution. In the time-dependent model that was established, the location parameter and scale parameter exhibited an exponential decrease during the first corrosion stage and a linear decrease during the second corrosion stage. In the absence of sheath protection, the coefficient of variation in corrosion among adjacent steel wires in the suspender followed a normal distribution. The spatial corrosion variability of the wires inside the suspender is significantly influenced by the shape of the suspender sheath damage. As the corrosion time increased, the overall discrepancy in corrosion levels among different layers of wires diminished.

Effect of Different Magnetic Field Types on Microstructure and Properties of Deposited Metal Prepared from High-Strength Steel Wire

Effect of Different Magnetic Field Types on Microstructure and Properties of Deposited Metal Prepared from High-Strength Steel Wire

Investigating the Flexural Properties of Reinforced Concrete T-Beams Strengthened with High-Strength Steel Wire Mesh and Polyurethane Cement

Investigating the Flexural Properties of Reinforced Concrete T-Beams Strengthened with High-Strength Steel Wire Mesh and Polyurethane Cement

A multiple buffering high-fall protection structure and its impact response

High-fall accidents are the most serious safety accidents in the global construction of tall buildings, and existing techniques cannot effectively prevent large-energy impact accidents such as the overall fall of construction formwork, resulting in huge safety risks. Therefore, this paper proposed a flexible protection structure with multiple buffering mechanisms by using a high-strength steel wire net as the intercepting component, and energy dissipators and buffer supports as the buffering and energy dissipation devices. Based on the mechanical model of the critical components, established a simulation model for the overall falling dynamic impact protection of construction formwork, and carried out four cases of parameter analyses that used the material of the intercepting net, whether to use energy dissipators and buffer support as control variables. The analyses show that the multiple buffering and energy dissipation mechanisms composed of steel wire net, energy dissipators, and buffer supports can effectively reduce the response of each component. Nine sets of parametric analyses based on the finalized structure were conducted with the stiffness of the intercepting net and energy dissipator as parameters The results indicate that the smaller the stiffness of the intercepting net and energy dissipator, the better the structural performance. The novel structure proposed in this paper can effectively protect against large-energy falling object impacts and improve the safety of building construction.