Saqlain Abbas^1,2, Zulkarnain Abbas^3,4,*, Yanping Zhu², Waqas Tariq Toor⁵, Xiaotong Tu⁶

Structural Durability & Health Monitoring, Vol., , DOI:10.32604/sdhm.2022.015266

Abstract In the previous couple of decades, techniques to reap energy and empower low voltage electronic devices have received outstanding attention. Most of the methods based on the piezoelectric effect to harvest the energy from ambient vibrations have been revolutionized. There’s an absence of experiment-based investigation which incorporates the microstructure analysis and crystal morphology of those energy harvest home materials. Moreover, the impact of variable mechanical and thermal load conditions has seldom been studied within the previous literature to utilize the effectiveness of those materials in several practical applications like structural health monitoring (SHM), etc. In the proposed research work, scanning… More >

Xiaozhong Li^*, Caiyun Sun

Structural Durability & Health Monitoring, Vol., , DOI:10.32604/sdhm.2022.013141

Abstract During the construction of subway tunnels, safety issues should not be ignored, so it is necessary to prevent and resolve the risk in time and accurately. However, there are some shortcomings in the research of risk assessment, such as the subjectivity of initial data or the lack of scientific evaluation model, in order to solve the problem, this paper relies on the Changping section of the Guanhui Intercity Metro, in order to establish a dynamic risk-warning model for the construction process of subway tunnel with the CD-Bench composite method. First, a monitoring plan was equationted according to the specification requirements… More >

Kelong Huang, Jie Yan, Lei Zhang^*, Faye Zhang, Mingshun Jiang, Qingmei Sui

Structural Durability & Health Monitoring, Vol., , 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 >

Kexin Zhang^*, Tianyu Qi, Dachao Li, Xingwei Xue, Yanfeng Li

Structural Durability & Health Monitoring, Vol., , DOI:10.32604/sdhm.2021.016130

Abstract This paper presents the method of reinforcing main girder of reinforced concrete cable-stayed bridge with prestressed steel strands. To verify the effectiveness of external prestressed strand reinforcement method. Static load tests and health monitoring-based assessment were carried out before and after reinforcement. Field load test shows that the deflection and stress values of the main girder are reduced by 10%~20% after reinforcement, and the flexural strength and stiffness of the strengthened beam are improved. The deflection and strain data of health monitoring of the specified section are collected. The deflection of the second span is 4 mm~10 mm, the strain… More >