Critical Experiments for Structural Members of Micro Image Strain Sensing Sensor Based on Smartphone and Microscope

Chen, Xixian; Zhang, Lixiao; Xie, Botao; Zhou, Guobing; Zhao, Xuefeng

doi:10.3390/buildings12020212

Cited by 4 publications

(2 citation statements)

References 40 publications

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“…Aulakh and Bhalla [ 101 ] evaluated piezo sensors for operational strain modal analysis. In [ 102 ], using smartphones and microscopes, microimage strain sensing sensors (MISSs) were investigated for measuring strain parameters in structural members. Saravanan and Chauhan [ 103 ] studied the coupled electromechanical behavior of a smart piezoelectric ceramic Lead Zirconate Titanate (PZT) transducer to determine damage.…”

Section: Structural Health Monitoringmentioning

confidence: 99%

A Systematic Review of Optimization Algorithms for Structural Health Monitoring and Optimal Sensor Placement

Hassani

Dackermann

2023

Sensors

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In recent decades, structural health monitoring (SHM) has gained increased importance for ensuring the sustainability and serviceability of large and complex structures. To design an SHM system that delivers optimal monitoring outcomes, engineers must make decisions on numerous system specifications, including the sensor types, numbers, and placements, as well as data transfer, storage, and data analysis techniques. Optimization algorithms are employed to optimize the system settings, such as the sensor configuration, that significantly impact the quality and information density of the captured data and, hence, the system performance. Optimal sensor placement (OSP) is defined as the placement of sensors that results in the least amount of monitoring cost while meeting predefined performance requirements. An optimization algorithm generally finds the “best available” values of an objective function, given a specific input (or domain). Various optimization algorithms, from random search to heuristic algorithms, have been developed by researchers for different SHM purposes, including OSP. This paper comprehensively reviews the most recent optimization algorithms for SHM and OSP. The article focuses on the following: (I) the definition of SHM and all its components, including sensor systems and damage detection methods, (II) the problem formulation of OSP and all current methods, (III) the introduction of optimization algorithms and their types, and (IV) how various existing optimization methodologies can be applied to SHM systems and OSP methods. Our comprehensive comparative review revealed that applying optimization algorithms in SHM systems, including their use for OSP, to derive an optimal solution, has become increasingly common and has resulted in the development of sophisticated methods tailored to SHM. This article also demonstrates that these sophisticated methods, using artificial intelligence (AI), are highly accurate and fast at solving complex problems.

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Section: Structural Health Monitoringmentioning

confidence: 99%

A Systematic Review of Optimization Algorithms for Structural Health Monitoring and Optimal Sensor Placement

Hassani

Dackermann

2023

Sensors

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“…In addition, an improved method for long-term monitoring was developed by using a digital microscope camera instead of a smartphone in reference [ 28 ], and a comparative study of the MISS sensor and FBG sensor was provided in reference [ 6 ]. Moreover, the application of a micro-image strain sensing (MISS) sensor based on a smartphone and a microscope for measuring structural members was investigated [ 29 ].…”

Section: Introductionmentioning

confidence: 99%

Micro-Image Strain Sensing Method for Displacement and Strain Measurement in One United Sensor

Zhang

Chen

et al. 2022

Sensors

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Micro-image strain sensing (MISS) is an innovative technology to measure strain within a measurement range of ±8300 microstrains. It has been proved to be effective and satisfy all requirements in the field of structural health monitoring. However, there is still room for improvement and extend the range of measurement. In this paper, an improved method is proposed to increase the measurement range of strain and displacement. Moreover, various tests were conducted to verify the efficiency of the improved method. The results showed that the modified method is efficient and accurate and can be readily used to extend the measurement range of both strain and displacement. This research will likely help stimulate the development of multifunctional sensors to obtain abundant useful information about structures in the field of structural health monitoring. It will allow measuring strain and displacement, which require different levels of accuracy, using one unified sensor.

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Displacement sensing based on microscopic vision with high resolution and large measuring range

Wu,

Li,

Zhao

2024

Computer aided Civil Eng

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Microimage strain sensing (MISS) is a novel piston‐type sensor based on microscopic vision. In this study, optical disc slice is used as information carriers to improve MISS. There are multiple pits on the surface of an optical disc. By using machine vision algorithms, the pits can be converted into digital information, making them scales for recording displacements. By this means, we proposed a sensing method that combines high resolution, wide range, and strong robustness. The study measured displacement under different conditions. To address inevitable factors such as pixel drift, and manufacturing errors, corresponding compensation methods were provided. The results show that the measurements closely match those of the linear variable differential transformer, with a resolution of up to 20 nm and a range approaching the sensor size. Despite the sensor's dependence on machine vision, it demonstrates strong resistance to environmental factors such as brightness and angle. Combining compensation methods for pixel drift, and manufacturing errors, this sensor can be well‐applied in various working conditions.

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Critical Experiments for Structural Members of Micro Image Strain Sensing Sensor Based on Smartphone and Microscope

Cited by 4 publications

References 40 publications

A Systematic Review of Optimization Algorithms for Structural Health Monitoring and Optimal Sensor Placement

A Systematic Review of Optimization Algorithms for Structural Health Monitoring and Optimal Sensor Placement

Micro-Image Strain Sensing Method for Displacement and Strain Measurement in One United Sensor

Displacement sensing based on microscopic vision with high resolution and large measuring range

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