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Fiber Reinforced Concrete

Fiber Reinforced Concrete

Fiber-reinforced concrete significantly enhances the structural and nonstructural properties of traditional concrete by incorporating fibers like steel, glass, and polymers. These fibers, varying from natural ones such as sisal and cellulose to manufactured ones like polypropylene and Kevlar, are mixed into hydraulic cement with aggregates. Steel fibers, often preferred for their robustness, contribute to improved ductility, toughness, and post-cracking performance. The concrete is classified...

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Updated: Apr 1, 2026

Microfluidic Fabrication of Polymeric and Biohybrid Fibers with Predesigned Size and Shape

Microfluidic Fabrication of Polymeric and Biohybrid Fibers with Predesigned Size and Shape

Published on: January 8, 2014

Structured Multimaterial Fibers Enabling Intelligent Robots.

Shengshun Duan^1,2, Xingbei Wang³, Wenge Que¹

¹State Key Laboratory of Advanced Fiber Materials, College of Materials Science and Engineering, Donghua University, Shanghai, P. R. China.

Advanced Materials (Deerfield Beach, Fla.)

|March 31, 2026

Summary

This summary is machine-generated.

Fiber robots, inspired by muscle fibers, offer a soft, adaptive alternative to traditional robots. Integrating sensing and artificial intelligence (AI), they enable intelligent systems for applications from medicine to textiles.

Keywords:

actuators fibers flexible devices robots sensors

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Last Updated: Apr 1, 2026

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Multiscale Structures Aggregated by Imprinted Nanofibers for Functional Surfaces

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Published on: September 11, 2018

Area of Science:

Robotics
Materials Science
Biomedical Engineering

Background:

Traditional robots face limitations in soft, dynamic, or confined environments like the human body.
There is a growing need for smaller, softer, and more adaptive robotic systems.

Purpose of the Study:

To summarize recent advances in fiber robot technology.
To highlight the role of artificial intelligence (AI) in developing intelligent fiber robots.
To outline future applications and challenges for autonomous fiber robots.

Main Methods:

Development of structured multimaterial fibers with programmable actuation.
Integration of heterogeneous material components responding to various stimuli (thermal, electrical, chemical, optical).
Incorporation of distributed sensing and artificial intelligence (AI) for enhanced capabilities.

Main Results:

Fiber robots demonstrate ultrathin, compliant, and intelligent system properties.
Successful applications include artificial muscles, adaptive textiles, and implantable medical devices.
AI significantly contributes to material discovery, actuator-sensor co-design, and autonomous fabrication.

Conclusions:

Fiber robots represent a significant advancement, bridging microscale integration with macroscale intelligence.
AI is crucial for realizing fully autonomous intelligent fiber robots.
Future opportunities span diverse applications from internal medicine to deep-sea and space exploration.