Structural Durability & Health Monitoring

ISSN: 1930-2983 (print)
ISSN: 1930-2991 (online) Publication Frequency: Quarterly

About the Journal

In order to maintain a reasonable cost for large scale structures such as airframes, offshore structures, nuclear plants etc., it is generally accepted that improved methods for structural integrity and durability assessment are required. Structural Health Monitoring (SDHM) had emerged as an active area of research for fatigue life and damage accumulation prognostics.

Indexing and Abstracting

Scopus Citescore (Impact per Publication 2021): 2.0; SNIP (Source Normalized Impact per Paper 2021): 0.779; RG Journal Impact (average over last three years); Engineering Index (Compendex); Applied Mechanics Reviews; Cambridge Scientific Abstracts: Aerospace and High Technology, Materials Sciences & Engineering, and Computer & Information Systems Abstracts Database; INSPEC Databases; Mechanics; Science Navigator; Portico, etc...

Current Issue - Vol.16, No.2, 2022 Most Viewed

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Review Article on Condition Assessment of Structures Using Electro-Mechanical Impedance Technique
Krishna Kumar Maurya^*, Anupam Rawat, Rama Shanker
Structural Durability & Health Monitoring, Vol.16, No.2, pp. 97-128, 2022, DOI:10.32604/sdhm.2022.015732
Abstract Structural health monitoring (SHM) is a process for determination of presence, location, severity of damages and remaining life of the infrastructures. SHM is widely applied in aerospace, mechanical and civil engineering systems to assess the conditions of structures to improve the operation, safety, serviceability and reliability, respectively. There are various SHM techniques for monitoring the health of structures such as global response based and local techniques. Damages occur in the structures due to its inability to withstand intended design loadings, physical environment and chemical environment. Therefore, damage identification is necessary to improve the durability of the structures for protection against… More
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Comparison of Structural Probabilistic and Non-Probabilistic Reliability Computational Methods under Big Data Condition
Yongfeng Fang^1,3, Kong Fah Tee^2,*
Structural Durability & Health Monitoring, Vol.16, No.2, pp. 129-143, 2022, DOI:10.32604/sdhm.2022.020301
Abstract In this article, structural probabilistic and non-probabilistic reliability have been evaluated and compared under big data condition. Firstly, the big data is collected via structural monitoring and analysis. Big data is classified into different types according to the regularities of the distribution of data. The different stresses which have been subjected by the structure are used in this paper. Secondly, the structural interval reliability and probabilistic prediction models are established by using the stress-strength interference theory under big data of random loads after the stresses and structural strength are comprehensively considered. Structural reliability is computed by using various stress types,… More
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Sensor Layout of Hoisting Machinery Vibration Monitoring Based on Harmony Genetic Search Algorithm
Guansi Liu^1,2, Keqin Ding^2,*, Hui Jin^1,*, Fangxiong Tang², Li Chen²
Structural Durability & Health Monitoring, Vol.16, No.2, pp. 145-161, 2022, DOI:10.32604/sdhm.2022.022241
Abstract With the construction of automated docks, health monitoring technology as a parallel safety assurance technology for unmanned hoisting machinery has become a hot spot in the development of the industry. Hoisting machinery has a huge structure and numerous welded joints. The complexity and nonlinearity of the welded structure itself makes the structural failure parts random and difficult to arrange for monitoring sensors. In order to solve the problem of effectiveness and stability of the sensor arrangement method for monitoring the structure of hoisting machinery. Using the global and local search capabilities enhanced by the complementary search mechanism, a structural vibration… More
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Identification of Internal Damage in Circular Cylinders through Laser Scanning of Vibrating Surfaces
Yisu Xi¹, Binkai Shi², Wei Xu^1,3,*, Jing Ge⁴, Huaxin Zhu⁵, Dragoslav Sumarac^6,7
Structural Durability & Health Monitoring, Vol.16, No.2, pp. 163-177, 2022, DOI:10.32604/sdhm.2022.022082
Abstract With the aid of non-contact measurements of vibrating surfaces through laser scanning, operating deflection shapes (ODSs) with high spatial resolutions can be used to graphically characterize damage in plane structures. Although numerous damage identification approaches relying on laser-measured ODSs have been developed for plate-type structures, they cannot be directly applied to circular cylinders due to the gap between equations of motions of plates and circular cylinders. To fill this gap, a novel approach is proposed in this study for damage identification of circular cylinders. Damage-induced discontinuities of the derivatives of ODSs can be used to graphically manifest the occurrence of… More
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Reconstruction Technology of Flexible Structure Shape Based on FBG Sensor Array and Deep Learning Algorithm
Kelong Huang, Jie Yan, Lei Zhang^*, Faye Zhang, Mingshun Jiang, Qingmei Sui
Structural Durability & Health Monitoring, Vol.16, No.2, pp. 179-194, 2022, DOI: 10.32604/sdhm.2022.018202
Abstract A structural displacement field reconstruction method is proposed to aim at the problems of deformation monitoring and displacement field reconstruction of flexible plate-like structures in the aerospace field. This method combines the deep neural network model of the cross-layer connection structure with the fiber grating sensor network. This paper first introduces the principle of strain detection of fiber grating sensor, studies the mapping relationship between strain and displacement, and proposes a strain-displacement conversion model based on an improved neural network. Then the intelligent structure deformation monitoring system is built. By controlling the stepping distance of the motor to produce different… More
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Finite Element Model Updating for Structural Health Monitoring
Amirabbas Haidarpour, Kong Fah Tee^*
Structural Durability & Health Monitoring, Vol.14, No.1, pp. 1-17, 2020, DOI:10.32604/sdhm.2020.08792
Abstract This paper provides a model updating approach to detect, locate, and characterize damage in structural and mechanical systems by examining changes in measured vibration responses. Research in vibration-based damage identification has been rapidly expanding over the last few decades. The basic idea behind this technology is that modal parameters (notably frequencies, mode shapes, and modal damping) are functions of the physical properties of the structure (mass, damping, and stiffness). Therefore, changes in the physical properties will cause changes in the modal properties which could be obtained by structural health monitoring (SHM). Updating is a process fraught with numerical difficulties. These… More
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Finite Element Analysis on Vibration Characteristics of an Offshore Floating Breakwater
Hongyi Yan¹, Dingguo Zhang¹, Liang Li^1,*, Xiaoyu Luo²
Structural Durability & Health Monitoring, Vol.14, No.1, pp. 19-36, 2020, DOI:10.32604/sdhm.2020.07457
Abstract The construction of seaside facilities is a hot topic in the field of ocean engineering. In this paper, a new type of floating breakwater is designed by 3DCAD geometric modeling. Based on the vibration theory and finite element technology, the floating breakwater model is optimized, and the modal analysis of the structure with the bracket as main body and blades as functional attachments is carried out. Natural frequencies and mode shapes of the blades are first calculated, and the effects of the natural frequencies in both dry and wet conditions are taken into account. Modal analysis and harmonic response analysis… More
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Fatigue Performance Analysis and Evaluation for Steel Box Girder Based on Structural Health Monitoring System
Meiling Zhuang^1,2,3, Changqing Miao^1,2,*, Rongfeng Chen^1,2
Structural Durability & Health Monitoring, Vol.14, No.1, pp. 51-79, 2020, DOI:10.32604/sdhm.2020.07663
Abstract Taizhou Yangtze River Bridge as a long-span suspension bridge, the finite element model (FEM) of it is established using the ANSYS Software. The beam4 element is used to simulate the main beam to establish the “spine beam” model of the Taizhou Yangtze River Bridge. The calculated low-order vibration mode frequency of the FEM is in good agreement with the completion test results. The model can simulate the overall dynamic response of the bridge. Based on the vehicle load survey, the Monte Carlo method is applied to simulate the traffic load flow. Then the overall dynamic response analysis of FEM is… More
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Integrity Analysis on Existing Crane Runway Girders with Defects Using Constraint-Based R6 Criterion
Huajing Guo, Baijian Wu, Zhaoxia Li^*
Structural Durability & Health Monitoring, Vol.14, No.1, pp. 37-50, 2020, DOI:10.32604/sdhm.2020.08442
Abstract In order to resolve the safety problem of the existing crane runway girders (CRGs) with defects, the constraint-based R6 criterion is proposed to assess their structural integrity. The existing steel CRGs with defects at the weld joint between the upper flange and web plate, are characterized to three-dimensional finite element models with a semi-ellipse surface crack. The R6 criterion has been modified by considering the constraint effect which is represented by T-stress. The analysis results illustrate that working condition of the cracked CRGs leads to high constraint level along the crack front. The crack aspect ratio (a/c) and runway eccentricity… More
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Mechanical Experimental Study on Tensile Bolted Connections of Crosslaminated Timber
Chenxiao Su, Haibei Xiong^*
Structural Durability & Health Monitoring, Vol.14, No.1, pp. 81-94, 2020, DOI:10.32604/sdhm.2020.08221
Abstract In order to explore a kind of high-strength, earthquake-resistant, economical and suitable connection, 4 groups of cross-laminated timber wall-to-floor and wall-to-wall bolted connections were tested under monotonic and cyclic loading. The deformation characteristics and failure modes of the cross-laminated timber wall-to-floor and wall-to-wall bolted connections were exploited. Load-slip curves, bearing capacity, yielding point, stiffness and ductility of each group of specimens were analyzed. The test results indicate that the loading process of cross-laminated timber bolted connections under tension can be categorized as five stages, namely the elastic stage, the slip stage, the embedding stage, the yielding stage and the ultimate… More
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Improvement of UAV Based an Evaluation Approach to Mid-High Rise Buildings’ Exterior Walls
Nai-Hsin Pan¹, Ching-Hsiang Tsai², Kuei-Yen Chen¹, Shiaofang Sung^3,*
Structural Durability & Health Monitoring, Vol.14, No.2, pp. 109-125, 2020, DOI:10.32604/sdhm.2020.06489
Abstract This research will develop a set of assessment techniques and procedures for exterior wall deterioration detection. The proposed method is mainly based on equipped with high-resolution photographic equipment for unmanned aerial vehicle (UAV). To overcome the problems of visual inspection difficulties due to different angles and height, the proposed method provides a safer and more efficient detection way to get the buildings’ exterior status. After using the proposed method to analyze the images taken from UAV, the size of the damaged area can be evaluated more accurately, and the accuracy rate of visual assessment will be significantly improved. The results… More
Views:2198 Downloads:2077 Download PDF