Development of a Wireless Displacement Measurement System Using Acceleration Responses

Park, Jong Woong; Sim, Sung‐Han; Jung, Hyung‐Jo; Spencer, Billie F.

doi:10.3390/s130708377

Cited by 78 publications

(58 citation statements)

References 21 publications

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“…Particularly, the digital image correlation (DIC) method has been proposed for the characterization of complex engineering materials at micro‐scales and mesoscales . Compared with other commonly used displacement measurement techniques, DIC provides full‐field and local deformation measurements through noncontact imaging by tracking a stochastic speckle field in the image plane as it deforms via a correlation algorithm …”

Section: Introductionmentioning

confidence: 99%

“…Particularly, the digital image correlation (DIC) method has been proposed for the characterization of complex engineering materials at micro-scales 25 and mesoscales. 26 Compared with other commonly used displacement measurement techniques, 27,28 DIC provides full-field and local deformation measurements through noncontact imaging by tracking a stochastic speckle field in the image plane as it deforms via a correlation algorithm. 29 In this context, although the local mechanical behavior of textiles has been investigated computationally in terms, for example, of yarn-to-yarn interactions 30 and related results were connected to local architecture and global behavior of textiles, 1,31 limited studies 32,33 have been reported to identify the effect of local material architecture on the mechanical behavior of knitted textiles.…”

Section: Introductionmentioning

confidence: 99%

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Experimental investigation of the multiscale mechanical behavior of knitted textiles

Tekerek

Liu

Wisner

et al. 2019

Mat Design & Process Comms

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The nonlinear, anisotropic, and multiscale mechanical behavior of knitted textiles is investigated experimentally in this article. The approach is motivated by recent computational work by the authors that revealed, for the first time to their best knowledge, local‐global mechanical behavior effects related to the hierarchical, three‐dimensional structure of this type of materials. The investigation is carried out on single jersey knitted textile specimens. Mechanical testing consisting of tensile loading along the two principal directions was coupled with a noncontact, optical metrology method capable of providing deformation measurements. The effect of globally applied loading on yarn‐to‐yarn interactions was explored using measured data. The results validate the previously obtained computational findings that include the anisotropic behavior between course and wale directions, the pronounced out‐of‐plane motion observed when in‐plane loading is applied, as well as the characteristic nonlinear mechanical behavior of knitted textiles. These effects were linked to direct observations of the loop structure that demonstrated the coupling between local kinematics and kinetics with global mechanical behavior.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Experimental investigation of the multiscale mechanical behavior of knitted textiles

Tekerek

Liu

Wisner

et al. 2019

Mat Design & Process Comms

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“…(5)(6)(7)(8)(9) In particular, micro-electromechanical systems (MEMS) accelerometers have been considered as a possible displacement measurement tool because they are inexpensive, small, and easy to install on the painted surfaces of steel bridges using magnets. (9)(10)(11) Furthermore, because the power consumption of MEMS accelerometers is small, they are suitable as field measurement tools. In addition, MEMS accelerometers with wireless capabilities enable the simple measurement of the bridge displacement response at multiple points.…”

Section: Introductionmentioning

confidence: 99%

“…(4)(5)(6)(7)(8)(9)(10) Gindy et al (5) proposed a state-space analytical model for this purpose. Although their model yielded highly accurate results at a vehicle traveling speed of 56 km/h, the results obtained at a vehicle traveling speed of 32 km/h were less accurate.…”

Section: Introductionmentioning

confidence: 99%

Identification of Cause of Displacement-Induced Fatigue in Steel Bridges Based on Displacement Measurements Using High-Performance Micro-electromechanical Systems Sensor

2017

Sensors and Materials

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It is important to know the displacement response of steel bridges under live loads to ensure that they are properly maintained. In particular, with regard to fatigue damage, if the bridge deformation can be determined based on the displacement response measured at multiple locations, the cause of displacement-induced fatigue can be identified, and appropriate repairs and reinforcements can be implemented as a countermeasure against fatigue damage. In recent years, accelerometers based on micro-electromechanical systems (MEMS) have been proposed to measure the displacement response of bridges to external forces because they are inexpensive and easy to install. However, it is difficult to choose an appropriate accelerometer for this task because the signal-to-noise (S/N) ratio that is required to accurately determine the bridge deflection from the measured acceleration has not been clarified. In the present study, to clarify the dominant frequency range of the displacement of a bridge under live loads, field measurements of two bridges in service were conducted using laser displacement gauges and accelerometers. Next, to clarify the required S/N ratio at the dominant frequency range of bridge displacement, constant-amplitude vibration tests using 10 different accelerometers consisting of nine MEMS accelerometers and a servo-type accelerometer were conducted. By conducting the field measurement of a bridge in service, the bridge displacement responses at multiple points were determined using high-performance MEMS accelerometers. Finally, by analyzing the correlation between the bridge deformation determined from multiple displacement responses obtained using the MEMS accelerometers and the stress at a location where cracks are likely to develop, the cause of displacement-induced fatigue was identified.

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“…In order to monitor bridge deformations against actual traffic loads, bridge displacement measurements are essential, and many studies have explored methods for conducting such measurements using accelerometers [17,18,19,20,21]. However, in order to accurately monitor bridge deformation against traffic loads, it is necessary not only to measure the bridge displacement response, but also to measure the bridge rotation angle response.…”

Section: Introductionmentioning

confidence: 99%

Determination Method of Bridge Rotation Angle Response Using MEMS IMU

Sekiya

Kinomoto

Miki

2016

Sensors

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To implement steel bridge maintenance, especially that related to fatigue damage, it is important to monitor bridge deformations under traffic conditions. Bridges deform and rotate differently under traffic load conditions because their structures differ in terms of length and flexibility. Such monitoring enables the identification of the cause of stress concentrations that cause fatigue damage and the proposal of appropriate countermeasures. However, although bridge deformation monitoring requires observations of bridge angle response as well as the bridge displacement response, measuring the rotation angle response of a bridge subject to traffic loads is difficult. Theoretically, the rotation angle response can be calculated by integrating the angular velocity, but for field measurements of actual in-service bridges, estimating the necessary boundary conditions would be difficult due to traffic-induced vibration. To solve the problem, this paper proposes a method for determining the rotation angle response of an in-service bridge from its angular velocity, as measured by a inertial measurement unit (IMU). To verify our proposed method, field measurements were conducted using nine micro-electrical mechanical systems (MEMS) IMUs and two contact displacement gauges. The results showed that our proposed method provided high accuracy when compared to the reference responses calculated by the contact displacement gauges.

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Development of a Wireless Displacement Measurement System Using Acceleration Responses

Cited by 78 publications

References 21 publications

Experimental investigation of the multiscale mechanical behavior of knitted textiles

Experimental investigation of the multiscale mechanical behavior of knitted textiles

Identification of Cause of Displacement-Induced Fatigue in Steel Bridges Based on Displacement Measurements Using High-Performance Micro-electromechanical Systems Sensor

Determination Method of Bridge Rotation Angle Response Using MEMS IMU

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