Open Access
ARTICLE
Lianhua Ma1, Min Huang1, Linfeng Han2,*
Structural Durability & Health Monitoring, DOI:10.32604/sdhm.2024.051374
Abstract Given the complexities of reinforced soil materials’ constitutive relationships, this paper compares reinforced soil composite materials to a sliding structure between steel bars and soil and proposes a reinforced soil constitutive model that takes this sliding into account. A finite element dynamic time history calculation software for composite response analysis was created using the Fortran programming language, and time history analysis was performed on reinforced soil retaining walls and gravity retaining walls. The vibration time histories of reinforced soil retaining walls and gravity retaining walls were computed, and the dynamic reactions of the two types More >
Open Access
ARTICLE
Xueyan Lin1,#, Mingtao Wu2,#, Guodong Li1,*, Nan Guo3, Lidan Mei1
Structural Durability & Health Monitoring, DOI:10.32604/sdhm.2024.051033
Abstract In this paper, a new type of bamboo scrimber column embedded with steel bars (rebars) was proposed, and the compression performance was improved by pre-embedding rebars during the preparation of the columns. The effects of the slenderness ratio and the reinforcement ratio on the axial compression performance of reinforced bamboo scrimber columns were studied by axial compression tests on 28 specimens. The results showed that the increase in the slenderness ratio had a significant negative effect on the axial compression performance of the columns. When the slenderness ratio increased from 19.63 to 51.96, the failure… More >
Open Access
REVIEW
Husam AlShannaq, Aly Mousaad Aly*
Structural Durability & Health Monitoring, DOI:10.32604/sdhm.2024.054731
Abstract Wind turbines have emerged as a prominent renewable energy source globally. Efficient monitoring and detection methods are crucial to enhance their operational effectiveness, particularly in identifying fatigue-related issues. This review focuses on leveraging artificial neural networks (ANNs) for wind turbine monitoring and fatigue detection, aiming to provide a valuable reference for researchers in this domain and related areas. Employing various ANN techniques, including General Regression Neural Network (GRNN), Support Vector Machine (SVM), Cuckoo Search Neural Network (CSNN), Backpropagation Neural Network (BPNN), Particle Swarm Optimization Artificial Neural Network (PSO-ANN), Convolutional Neural Network (CNN), and nonlinear autoregressive… More >
Open Access
ARTICLE
Huayi Zhang1, Maobin Song2, Lei Shen1,*, Nizar Faisal Alkayem1, Maosen Cao3
Structural Durability & Health Monitoring, DOI:10.32604/sdhm.2024.052869
Abstract The concrete panel of earth-rock dams in cold regions tends to crack due to the combination effect of non-uniform foundation settlement, ice expansion loads, and freeze-thaw damage. In this work, simulations are designed to investigate the effects of freeze-thaw damage degrees on the fracture behavior caused by the partial detachment and ice expansion loads on concrete panels. Results show that the range of detached panels and freeze-thaw damage degree are the dominant factors that affect the overall load-bearing capacity of the panel and the failure cracking modes, whereas the panel slope is a secondary factor. More >
Open Access
ARTICLE
Giada Faraco, Andrea Vincenzo De Nunzio, Nicola Ivan Giannoccaro*, Arcangelo Messina
Structural Durability & Health Monitoring, DOI:10.32604/sdhm.2024.052663
Abstract The possibility of determining the integrity of a real structure subjected to non-invasive and non-destructive monitoring, such as that carried out by a series of accelerometers placed on the structure, is certainly a goal of extreme and current interest. In the present work, the results obtained from the processing of experimental data of a real structure are shown. The analyzed structure is a lattice structure approximately 9 m high, monitored with 18 uniaxial accelerometers positioned in pairs on 9 different levels. The data used refer to continuous monitoring that lasted for a total of 1… More >
Open Access
ARTICLE
Liangwei Jiang1,2, Wei Zhang2, Hongyin Yang1,2,3,*, Xiucheng Zhang1, Jinghan Wu2, Zhangjun Liu2
Structural Durability & Health Monitoring, DOI:10.32604/sdhm.2024.051125
（This article belongs to the Special Issue: Health Monitoring and Rapid Evaluation of Infrastructures)
Abstract Aiming at the problem that it is difficult to obtain the explicit expression of the structural matrix in the traditional train-bridge coupling vibration analysis, a combined simulation system of train-bridge coupling system (TBCS) under earthquake (MAETB) is developed based on the cooperative work of MATLAB and ANSYS. The simulation system is used to analyze the dynamic parameters of the TBCS of a prestressed concrete continuous rigid frame bridge benchmark model of a heavy-haul railway. The influence of different driving speeds, seismic wave intensities, and traveling wave effects on the dynamic response of the TBCS under More >
Open Access
ARTICLE
Xianxian Yin1, Shimin Yin1, Yiming Bu2, Xiukun Wei3,*
Structural Durability & Health Monitoring, DOI:10.32604/sdhm.2024.050195
（This article belongs to the Special Issue: Advanced Computer Vision Methods and Related Technologies in Structural Health Monitoring)
Abstract As an important component of load transfer, various fatigue damages occur in the track as the rail service life and train traffic increase gradually, such as rail corrugation, rail joint damage, uneven thermite welds, rail squats fastener defects, etc. Real-time recognition of track defects plays a vital role in ensuring the safe and stable operation of rail transit. In this paper, an intelligent and innovative method is proposed to detect the track defects by using axle-box vibration acceleration and deep learning network, and the coexistence of the above-mentioned typical track defects in the track system… More >
Open Access
ARTICLE
Mingxu Zhang1, Mingliang Wang2, Wei Zhang3,*
Structural Durability & Health Monitoring, DOI:10.32604/sdhm.2024.051949
Abstract This paper examines the mechanical behavior of fiber reinforced polymer (FRP)-confined concrete under cyclic compression using the 3D cohesive zone model (CZM). A numerical modeling method was developed, employing zero-thickness cohesive elements to represent the stress-displacement relationship of concrete potential fracture surfaces and FRP-concrete interfaces. Additionally, mixed-mode damage plastic constitutive models were proposed for the concrete potential fracture surfaces and FRP-concrete interface, considering interfacial friction. Furthermore, an anisotropic plastic constitutive model was developed for the FRP composite jacket. The CZM model proposed in this study was validated using experimental data from plain concrete and large More >
Open Access
ARTICLE
Liqiong Chen1, Kai Zhang1,*, Song Yang1, Duo Xu1, Weihe Huang1, Hongxuan Hu2, Haonan Liu2
Structural Durability & Health Monitoring, DOI:10.32604/sdhm.2024.049536
Abstract The North China Plain and the agricultural region are crossed by the Shanxi-Beijing natural gas pipeline. Residents in the area use rototillers for planting and harvesting; however, the depth of the rototillers into the ground is greater than the depth of the pipeline, posing a significant threat to the safe operation of the pipeline. Therefore, it is of great significance to study the dynamic response of rotary tillers impacting pipelines to ensure the safe operation of pipelines. This article focuses on the Shanxi-Beijing natural gas pipeline, utilizing finite element simulation software to establish a finite More >
Open Access
ARTICLE
Donghui Ma1, Wenqi Wu2, Yuan Li1, Lun Zhao1, Yingchun Cai2,*, Pan Guo2,*, Shaolin Yang2
Structural Durability & Health Monitoring, DOI:10.32604/sdhm.2024.052677
（This article belongs to the Special Issue: Health Monitoring and Rapid Evaluation of Infrastructures)
Abstract Segmentally assembled bridges are increasingly finding engineering applications in recent years due to their unique advantages, especially as urban viaducts. Vehicle loads are one of the most important variable loads acting on bridge structures. Accordingly, the influence of overloaded vehicles on existing assembled bridge structures is an urgent concern at present. This paper establishes the finite element model of the segmentally assembled bridge based on ABAQUS software and analyzes the influence of vehicle overload on an assembled girder bridge structure. First, a finite element model corresponding to the target bridge is established based on ABAQUS… More >
Open Access
ARTICLE
Wanrun Li1,2,3,*, Wenhai Zhao1, Tongtong Wang1, Yongfeng Du1,2,3
Structural Durability & Health Monitoring, DOI:10.32604/sdhm.2024.050751
（This article belongs to the Special Issue: Advanced Computer Vision Methods and Related Technologies in Structural Health Monitoring)
Abstract The accumulation of defects on wind turbine blade surfaces can lead to irreversible damage, impacting the aerodynamic performance of the blades. To address the challenge of detecting and quantifying surface defects on wind turbine blades, a blade surface defect detection and quantification method based on an improved Deeplabv3+ deep learning model is proposed. Firstly, an improved method for wind turbine blade surface defect detection, utilizing Mobilenetv2 as the backbone feature extraction network, is proposed based on an original Deeplabv3+ deep learning model to address the issue of limited robustness. Secondly, through integrating the concept of… More >
Open Access
ARTICLE
Yan Zhao1,*, Yuanyuan Wu2, Shengliang He3, Zhenglu Gao1, Ziyan Huang1, Chenzheng Lv4
Structural Durability & Health Monitoring, DOI:10.32604/sdhm.2024.049601
Abstract Prestress enables the Glulam beam could make full use of the compression strength, and then increase the span, but it still could not reduce all drawbacks, such as cross-section weakening and small force arm. To avoid slotting and ensure suitable tension and compression couple, one kind of novel anchor has been proposed, which could meet the bearing capacity requirement. And then the bending test of prestressed Glulam beams with a geometric scale ratio of 1: 2 was simulated, to investigate the effect of the force arm on bending capacities, failure modes, and deformation performance. Results More >
Open Access
REVIEW
Jiamin Huang1,2, Ping Wu2,*, Wangxin Li3, Jun Zhang2, Yidong Xu2
Structural Durability & Health Monitoring, DOI:10.32604/sdhm.2024.050338
Abstract With the advent of the big data era and the rise of Industrial Revolution 4.0, digital twins (DTs) have gained significant attention in various industries. DTs offer the opportunity to combine the physical and digital worlds and aid the digital transformation of the civil engineering industry. In this paper, 605 documents obtained from the search were first analysed using CiteSpace for literature visualisation, and an author co-occurrence network, a keyword co-occurrence network, and a keyword clustering set were obtained. Next, through a literature review of 86 papers, this paper summarises the current status of DT More >
Open Access
REVIEW
S. F. Ismael1,2,*, A. H. Alias1, N. A. Haron1, B. B. Zaidan3, Abdulrahman M. Abdulghani4
Structural Durability & Health Monitoring, DOI:10.32604/sdhm.2024.050088
Abstract In this review paper, we present a thorough investigation into the role of pavement technologies in advancing urban sustainability. Our analysis traverses the historical evolution of these technologies, meticulously evaluating their socio-economic and environmental impacts, with a particular emphasis on their role in mitigating the urban heat island effect. The evaluation of pavement types and variables influencing pavement performance to be used in the multi-criteria decision-making (MCDM) framework to choose the optimal pavement application are at the heart of our research. Which serves to assess a spectrum of pavement options, revealing insights into the most More >
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