Abstract:Obtaining the internal stress and strain state of concrete to evaluate the safety and reliability of structures is the important purpose of concrete structural health monitoring. In this paper, a three-dimensional (3D) strain rosette sensor was designed and fabricated using graphene-based piezoresistive composite to measure the strains in concrete structures. The piezoresistive composite was prepared using reduced graphene oxide (RGO) as conductive filler, cellulose nanofiber (CNF) as dispersant and structural… Show more
“…Depending on the angle of combination between individual sensors, it can be categorized into 45°, 60°, and 120° strain rosettes. Strain rosettes possess the capability to simultaneously measure both the magnitude and direction of strain, commonly utilized for detecting the strain in building structures to evaluate safety and reliability. − Alternatively, they can be employed to assess the strain state within a device, enabling health monitoring of the device. , The remarkable research outcomes are extensively applied, yet the limited ductility of traditional materials like metals restricts their use in monitoring human skin or joint motion. To address the requirements of wearable devices and human−machine interaction, there is a critical need to develop flexible sensors capable of measuring multiple strains with high ductility.…”
Multidirectional strain sensors are pivotal for wearable electronic devices and human−computer interaction. In this investigation, we translocate carbon/graphene (CB/Gr) conductive nanocomposites onto an Ecoflex flexible substrate via a facile technique encompassing reverse molding and spraying, culminating in the fabrication of a 45°strain rosette-shaped multidirectional flexible strain sensor. The sensor distinguishes itself with extraordinary performance characteristics, including high sensitivity (boasting a gauge factor of 35), an extensive strain range from 0 to 100%, exceptional linearity, a rapid response time of merely 200 ms, remarkable stability, and outstanding durability, effortlessly withstanding over 5000 stretch-release cycles. The sensor exhibits its exceptional capability to discern intricate movements, particularly in detecting human hand and neck motions. The sensor's remarkable comprehensive performance and strain direction recognition ability underscore its significant potential for diverse applications, notably in human−computer interaction, human motion monitoring, and health monitoring.
“…Depending on the angle of combination between individual sensors, it can be categorized into 45°, 60°, and 120° strain rosettes. Strain rosettes possess the capability to simultaneously measure both the magnitude and direction of strain, commonly utilized for detecting the strain in building structures to evaluate safety and reliability. − Alternatively, they can be employed to assess the strain state within a device, enabling health monitoring of the device. , The remarkable research outcomes are extensively applied, yet the limited ductility of traditional materials like metals restricts their use in monitoring human skin or joint motion. To address the requirements of wearable devices and human−machine interaction, there is a critical need to develop flexible sensors capable of measuring multiple strains with high ductility.…”
Multidirectional strain sensors are pivotal for wearable electronic devices and human−computer interaction. In this investigation, we translocate carbon/graphene (CB/Gr) conductive nanocomposites onto an Ecoflex flexible substrate via a facile technique encompassing reverse molding and spraying, culminating in the fabrication of a 45°strain rosette-shaped multidirectional flexible strain sensor. The sensor distinguishes itself with extraordinary performance characteristics, including high sensitivity (boasting a gauge factor of 35), an extensive strain range from 0 to 100%, exceptional linearity, a rapid response time of merely 200 ms, remarkable stability, and outstanding durability, effortlessly withstanding over 5000 stretch-release cycles. The sensor exhibits its exceptional capability to discern intricate movements, particularly in detecting human hand and neck motions. The sensor's remarkable comprehensive performance and strain direction recognition ability underscore its significant potential for diverse applications, notably in human−computer interaction, human motion monitoring, and health monitoring.
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