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Microcracking in Concrete

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Microcracking in concrete refers to the tiny cracks that can form within the material even before any external load is applied. These microcracks typically occur at the interface between the coarse aggregate and the hydrated cement paste, often as a result of differential volume changes prompted by variations in stress-strain behavior, as well as thermal and moisture movement. Initially, these microcracks remain stable and do not grow substantially until the concrete is stressed to about 30...

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Effect of Bending on the Electrical Characteristics of Flexible Organic Single Crystal-based Field-effect Transistors

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Bending Sensor Based on Controlled Microcracking Regions for Application toward Wearable Electronics and Robotics.

Do Hoon Lee¹, Jun Chang Yang¹, Joo Yong Sim²

¹Department of Materials Science and Engineering, Korea Advanced Institute of Science and Technology (KAIST), Daejeon 34141, Republic of Korea.

ACS Applied Materials & Interfaces

|June 28, 2022

Summary

This summary is machine-generated.

This study presents a novel soft bending sensor with an inverse pyramid structure. This design controls microcrack formation, enabling precise motion detection for advanced wearable electronics and soft robotics.

Keywords:

bending sensor healthcare monitoring inverse pyramid soft robotics tactile object recognition

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Area of Science:

Materials Science
Robotics
Wearable Technology

Background:

Microcrack formation is a common failure mode in soft sensors, limiting their durability and performance.
Developing sensors with controlled crack propagation is crucial for enhancing lifespan and functionality.

Purpose of the Study:

To demonstrate a soft bending sensor with an inverse pyramid structure that suppresses microcrack formation.
To achieve a sensor with a wide dynamic range, high gauge factor, high linearity, and fast response time.
To enable directional bending differentiation, object recognition, and self-monitoring actuation.

Main Methods:

Fabrication of a soft bending sensor utilizing an inverse pyramid structure.
Characterization of sensor performance under various bending strains and conditions.
Integration of sensor arrays with machine learning for object recognition.
Demonstration of a self-monitoring proprioceptive ionic electroactive polymer (IEAP) actuator.

Main Results:

The inverse pyramid structure effectively controlled microcrack formation, allowing gradual crack opening.
The sensor exhibited a wide dynamic range (0.025-5.4% strain), high gauge factor (~74), and high linearity (R² ~ 0.99).
Fast response time enabled detection of rapid strain changes and vibrations; directional bending and object recognition were achieved.

Conclusions:

The developed soft bending sensor offers a robust and versatile solution for sophisticated motion detection.
Its capabilities position it as a key component for advancing wearable healthcare monitoring and proprioceptive soft robotics.