Bio-inspired sensor skins for structural health monitoring

Tata, Uday; Deshmukh, Srikar; Chiao, Jung-Chih; Carter, Ronald; Huang, Haiying

doi:10.1088/0964-1726/18/10/104026

Cited by 40 publications

(8 citation statements)

References 22 publications

(28 reference statements)

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“…Soft elastomeric sensors have previously been proposed for SHM of civil structures [8], [9], [10], [11]. Popular applications include carbon nanotubes within the elastomeric substrate to create resistive strain sensors [12], [13].…”

Section: Introductionmentioning

confidence: 99%

Soft Elastomeric Capacitor Network for Strain Sensing Over Large Surfaces

Laflamme

Saleem

Vasan

et al. 2013

IEEE/ASME Trans. Mechatron.

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Field applications of existing sensing solutions to structural health monitoring (SHM) of civil structures are limited. This is due to economical and/or technical challenges in deploying existing sensing solutions to monitor geometrically large systems. To realize the full potential of SHM solutions, it is imperative to develop scalable cost-effective sensing strategies. We present a novel sensor network specifically designed for strain sensing over large surfaces. The network consists of soft elastomeric capacitors (SECs) deployed in an array form. Each SEC acts as a surface strain gage transducing local strain into changes in capacitance. Results show that the sensor network can track strain history above levels of 25 με using an inexpensive off-the-shelf data acquisition system. Tests at large strains show that the sensor's sensitivity is almost linear over strain levels of 0-20%. We demonstrate that it is possible to reconstruct deflection shapes for a simply supported beam subjected to quasi-static loads, with accuracy comparable to resistive strain gages. Abstract-Field applications of existing sensing solutions to structural health monitoring (SHM) of civil structures are limited. This is due to economical and/or technical challenges in deploying existing sensing solutions to monitor geometrically large systems. To realize the full potential of SHM solutions, it is imperative to develop scalable cost-effective sensing strategies. We present a novel sensor network specifically designed for strain sensing over large surfaces. The network consists of soft elastomeric capacitors (SECs) deployed in an array form. Each SEC acts as a surface strain gage transducing local strain into changes in capacitance. Results show that the sensor network can track strain history above levels of 25 µε using an inexpensive off-the-shelf data acquisition systems. Tests at large strains show that the sensor's sensitivity is almost linear over strain levels of 0-20%. We demonstrate that it is possible to reconstruct deflection shapes for a simply supported beam subjected to quasi-static loads, with accuracy comparable to resistive strain gages. Keywords Electrical and Computer Engineering

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Section: Introductionmentioning

confidence: 99%

Soft Elastomeric Capacitor Network for Strain Sensing Over Large Surfaces

Laflamme

Saleem

Vasan

et al. 2013

IEEE/ASME Trans. Mechatron.

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“…We intend to apply the concept of a sensing sole that is smart to differentiate between temperature variations, such as hot and cold, and is based on tactile sensing to differentiate between soft and hard surfaces. This concept is also similar to a smart skin (19,20) in which fiber optics are suggested to build tactile sensing capabilities. This type of technology is feasible for robotic tactile sensing where sensors are required in a nonelectromagnetic interference (EMI) field.…”

Section: Smart Foot Solementioning

confidence: 97%

Smart Lower Limb Prostheses with a Fiber Optic Sensing Sole: A Multicomponent Design Approach

Butt¹,

Qureshi²

2019

Sensors and Materials

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A review on a multicomponent design is presented for the development of a lower limb smart prosthetic system based on fiber optic sensing. The key component of this system is the smart sole consisting of a group of fiber optic sensors called the fiber Bragg grating (FBG). Such a group of sensors allow the human sense of touch to be mimicked through strategic sensor placement while identifying minute changes in contact conditions. Gait control through plantar pressure measurements is an important feature of lower limb prosthetics and allows for the identification of terrain through ground reaction forces (GRFs). Current smart lower limb prosthetics consist of a powered ankle equipped with torque sensors and a motorized assembly to enable proper gait control. Adding a smart sensing sole, which incorporates the sense of touch in addition to GRF identification, will enable patients with neurological disorders or amputation to relive the experience of a normal human being. Prosthetic technologies that will assist in developing a smart lower limb prosthetic system with a multicomponent design are presented on the basis of review, and a complete integrated system that will include sensing, processing, and control is suggested. The control can come through two approaches: (a) a trained system based on artificial intelligence or (b) a direct intervention of the subject. The intervention in the latter approach is based on sensing the signals from the smart foot and receiving them in the brain through a brain-machine interface (BMI).

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“…A bio-inspired wireless sensor is reported in Tata et al [85]. The proposed technology encloses an antenna for strain measurements.…”

Section: Wirelessmentioning

confidence: 99%

A Literature Review of Non-Contact Tools and Methods in Structural Health Monitoring

Vegas

2021

ETOAJ

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In this review paper, the methodology employed was undertaken according to the following steps. First, the literature was collected from the SCOPUS database due to it indexes the largest number of journals and is commonly used in engineering fields [12,13]. The initial search was performed on the 21st of January 2021 with the keywords "structural health monitoring" and with the aim of obtaining exclusively the non-contact literature, the specific query was: TITLE-ABS-KEY ("structural health monitoring" AND non-contact* OR noncontact* OR contactless). The boolean operators (AND, OR, *) are used to include entirely the non-contact literature and to incorporate potential literature with different spellings of non-contact. An initial 623 results were obtained, a further limit was imposed on only English language documents. The search was not limited to a time frame, resulting in 608 documents from 1994 to 2021 plotted in Figure 1. Then, the 608 articles were browsed and 92 irrelevant documents (e.g., medical fields) were excluded and subsequently were classified according to the main method/tool, Table 1 summarizes it. Figure 1: Research publications on the use of non-contact methods and tools in structural health monitoring.Table 1: Non-contact methods/tools in SHM. Methods Number of Articles Percentage Vision-based 146 28.29% Guided Waves 91 17.64% Ultrasound 49 9.50% Vibration 47 9.11% Magnetic Methods 33 6.40% Acoustic based 31 6.01% Displacement based 28 5.43% Thermal Inspection 18 3.49%

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Bio-inspired sensor skins for structural health monitoring

Cited by 40 publications

References 22 publications

Soft Elastomeric Capacitor Network for Strain Sensing Over Large Surfaces

Soft Elastomeric Capacitor Network for Strain Sensing Over Large Surfaces

Smart Lower Limb Prostheses with a Fiber Optic Sensing Sole: A Multicomponent Design Approach

A Literature Review of Non-Contact Tools and Methods in Structural Health Monitoring

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