Enabling framework for structural health monitoring using smart sensors

Rice, Jeff; Mechitov, Kirill; Sim, Sung‐Han; Spencer, Billie F.; Agha, Gul

doi:10.1002/stc.386

Cited by 54 publications

(38 citation statements)

References 22 publications

(42 reference statements)

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“…A WSS consisting of Imote2 wireless sensing platform [25]and a SHM-A multi-metric sensor board [26][27][28] was installed to measure the acceleration response of the frame with a sampling frequency of 100 Hz. The measurement range and sensitivity of the three-axis accelerometer on the SHM-A sensor board is ±2g and 0.66V/g [27].…”

Section: Methodsmentioning

confidence: 99%

An experimental study on self-powered vibration control and monitoring system using electromagnetic TMD and wireless sensors

Shen

Zhu

2012

Sensors and Actuators A: Physical

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This paper proposed and validated a self-powered vibration control and monitoring (SVCM) system which consists of a pendulum-type tuned mass damper (TMD), a rotary electromagnetic (EM) device, an energy harvesting circuit (EHC) and a wireless smart sensor (WSS). As the key element in the system, the regenerative electromagnetic TMD (EMTMD) is able to convert vibration energy of structures to electrical energy, and thus plays dual functions, namely, vibration mitigation and energy harvesting. With the aid of EHC, the electrical energy can be further stored and used to power WSS that closely monitor structural vibration responses. The feasibility of the proposed SVCM system was validated via shaking table tests, in which a single-degree-of-freedom (SDOF) structural model equipped with the SVCM system was tested under random excitations. The functionality of the SVCM system was discussed with regard to the vibration control, energy harvesting and vibration monitoring performance. The experimental results revealed that the proposed regenerative EMTMD device can provide regenerative and economical power to WSS. The harvested power reaches about 312.4 mW under random ground motions with root-mean-square (RMS) acceleration equal to 0.05g. Meanwhile, the comparison shows that the peak magnitude of the frequency response function of structural displacement is reduced by 10 dB with the aid of the EMTMD. This study demonstrates that the SVCM system provides a novel and promising solution to the power supply problem associated with wireless sensing technology, and will stimulate the integration of vibration control and monitoring system.

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Section: Methodsmentioning

confidence: 99%

An experimental study on self-powered vibration control and monitoring system using electromagnetic TMD and wireless sensors

Shen

Zhu

2012

Sensors and Actuators A: Physical

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“…The ISHMP Service Toolsuite provides open-source middleware services implementing these components that can be used as building blocks to develop a new smart sensor application, significantly reducing time and effort in programming. More detailed information regarding the ISHMP Services Toolsuite can be found in Rice et al [25]. …”

Section: Wireless Displacement Measurement Systemmentioning

confidence: 99%

Development of a Wireless Displacement Measurement System Using Acceleration Responses

Park

Sim

Jung

et al. 2013

Sensors

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Displacement measurements are useful information for various engineering applications such as structural health monitoring (SHM), earthquake engineering and system identification. Most existing displacement measurement methods are costly, labor-intensive, and have difficulties particularly when applying to full-scale civil structures because the methods require stationary reference points. Indirect estimation methods converting acceleration to displacement can be a good alternative as acceleration transducers are generally cost-effective, easy to install, and have low noise. However, the application of acceleration-based methods to full-scale civil structures such as long span bridges is challenging due to the need to install cables to connect the sensors to a base station. This article proposes a low-cost wireless displacement measurement system using acceleration. Developed with smart sensors that are low-cost, wireless, and capable of on-board computation, the wireless displacement measurement system has significant potential to impact many applications that need displacement information at multiple locations of a structure. The system implements an FIR-filter type displacement estimation algorithm that can remove low frequency drifts typically caused by numerical integration of discrete acceleration signals. To verify the accuracy and feasibility of the proposed system, laboratory tests are carried out using a shaking table and on a three storey shear building model, experimentally confirming the effectiveness of the proposed system.

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“…Herein, due to their compact and inexpensive nature, the use of micro-electro-mechanical system (MEMS) sensors to measure responses against the external forces of traffic loading, wind force, and seismic force are proposed [4,5,6,7,8,9]. Unlike strain gauges, which have often been used to measure responses against the external forces [1], MEMS sensors can be easily attached to the painted surfaces of steel bridges using magnets.…”

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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Enabling framework for structural health monitoring using smart sensors

Cited by 54 publications

References 22 publications

An experimental study on self-powered vibration control and monitoring system using electromagnetic TMD and wireless sensors

An experimental study on self-powered vibration control and monitoring system using electromagnetic TMD and wireless sensors

Development of a Wireless Displacement Measurement System Using Acceleration Responses

Determination Method of Bridge Rotation Angle Response Using MEMS IMU

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