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Preparation of Aligned Steel Fiber Reinforced Cementitious Composite and Its Flexural Behavior

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Effects of Defects on Masonry Confinement with Inorganic Matrix Composites.

Gian Piero Lignola¹, Gaetano Manfredi¹, Andrea Prota¹

¹Department of Structures for Engineering and Architecture, University of Naples "Federico II", 80125 Napoli, Italy.

Materials (Basel, Switzerland)

|July 14, 2023

Summary

This study investigates variability in fabric-reinforced cementitious matrix (FRCM) composites for structural strengthening. A new theoretical approach identifies material defects as the primary cause of scatter in FRCM confinement efficiency.

Keywords:

confinement applications defects experimental scatter experimental validation fabric-reinforced cementitious matrix (FRCM) composites stress vs. strain relationship theoretical incremental approach

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Area of Science:

Civil Engineering
Materials Science

Background:

Fabric-reinforced cementitious matrix (FRCM) composites are increasingly used for strengthening existing structures.
Confinement applications of FRCM show significant experimental result scatter, hindering theoretical model establishment.

Purpose of the Study:

To identify potential sources of scatter in the confinement efficiency of FRCM wrappings.
To develop a theoretical approach simulating defects like fiber slip and premature fiber failure.

Main Methods:

A novel, non-iterative incremental theoretical approach was developed.
The approach simulates defects influencing FRCM confinement efficiency.
Theoretical results were compared against experimental data from prior studies.

Main Results:

Material defects, including fiber slip and premature fiber failure, were identified as the main sources of variability.
The proposed theoretical approach successfully simulated the effects of these defects.
The model demonstrated satisfactory simulation of high scatter observed in experimental FRCM confinement results.

Conclusions:

The developed incremental approach effectively models defects causing scatter in FRCM confinement.
This methodology aids in understanding and predicting FRCM performance variability.
Future research can incorporate additional material uncertainties for enhanced model accuracy.