Steel Fiber and Aggregate Distributions in RC-SFRC Segments for Shield Tunnel Linings: An Experimental and Statistical Modeling Study

Abstract This paper focuses on the mesomaterial distributions in concrete segments with conventional rebar and steel fiber hybrid reinforcement (RC-SFRC) for metro shield tunnels, aiming to connect mesomaterial characters with the macrostructural design. Herein, an innovative segment test was designed to provide comprehensive material-phase investigation samples within the RC-SFRC segment space, and comprehensive image processing methods were developed to characterize mesomaterial distributions. Based on the experimental results, material-phase optimal three-parameter probability models were systematically established and evaluated to enhance mesomaterial reconstruction accuracy in RC-SFRC segments. The primary findings are as follows: with increasing core radius, aggregate and steel fiber contents undergo violent, slow, and stable stages. A minimum coring radius <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" display="inline" overflow="scroll"> <mml:mrow> <mml:mi>r</mml:mi> <mml:mo>=</mml:mo> <mml:mn>50</mml:mn> <mml:mtext> </mml:mtext> <mml:mi>mm</mml:mi> </mml:mrow> </mml:math> for the coring method is required for reliable mesomaterial identification through image-based methods. Vibrating process–induced mesomaterial settlements and movements produce three statistically significant stratification depths across the segment thickness, corresponding to thicknesses <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" display="inline" overflow="scroll"> <mml:mrow> <mml:msub> <mml:mrow> <mml:mi>h</mml:mi> </mml:mrow> <mml:mrow> <mml:mi>s</mml:mi> </mml:mrow> </mml:msub> <mml:mo>=</mml:mo> <mml:mn>0</mml:mn> <mml:mi>–</mml:mi> <mml:mn>70</mml:mn> </mml:mrow> </mml:math> , 70–280, and 280–350 mm. The three-parameter Weibull distribution substantially improves global material-phase distribution fitting accuracy compared with two-parameter models, as well as beta and gamma distributions, conducive to accurate mesomaterial characteristics reconstruction of RC-SFRC segments.

Authors

Institutions

Publication Details

Journal
Journal of Materials in Civil Engineering
Published
2026-07-22
DOI
https://doi.org/10.1061/jmcee7.mteng-22606
Primary Topic
Innovative concrete reinforcement materials
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Steel Fiber and Aggregate Distributions in RC-SFRC Segments for Shield Tunnel Linings: An Experimental and Statistical Modeling Study

Naichen Shi, Hui Li, Xi Zhang, He Ch et al.
Journal of Materials in Civil Engineering
Innovative concrete reinforcement materials
article

Steel Fiber and Aggregate Distributions in RC-SFRC Segments for Shield Tunnel Linings: An Experimental and Statistical Modeling Study

Naichen Shi, Hui Li, Xi Zhang, He Ch, S H E N G H Zhou, Honggui Di, Quan Zhang
article en

Abstract

Abstract This paper focuses on the mesomaterial distributions in concrete segments with conventional rebar and steel fiber hybrid reinforcement (RC-SFRC) for metro shield tunnels, aiming to connect mesomaterial characters with the macrostructural design. Herein, an innovative segment test was designed to provide comprehensive material-phase investigation samples within the RC-SFRC segment space, and comprehensive image processing methods were developed to characterize mesomaterial distributions. Based on the experimental results, material-phase optimal three-parameter probability models were systematically established and evaluated to enhance mesomaterial reconstruction accuracy in RC-SFRC segments. The primary findings are as follows: with increasing core radius, aggregate and steel fiber contents undergo violent, slow, and stable stages. A minimum coring radius <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" display="inline" overflow="scroll"> <mml:mrow> <mml:mi>r</mml:mi> <mml:mo>=</mml:mo> <mml:mn>50</mml:mn> <mml:mtext> </mml:mtext> <mml:mi>mm</mml:mi> </mml:mrow> </mml:math> for the coring method is required for reliable mesomaterial identification through image-based methods. Vibrating process–induced mesomaterial settlements and movements produce three statistically significant stratification depths across the segment thickness, corresponding to thicknesses <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" display="inline" overflow="scroll"> <mml:mrow> <mml:msub> <mml:mrow> <mml:mi>h</mml:mi> </mml:mrow> <mml:mrow> <mml:mi>s</mml:mi> </mml:mrow> </mml:msub> <mml:mo>=</mml:mo> <mml:mn>0</mml:mn> <mml:mi>–</mml:mi> <mml:mn>70</mml:mn> </mml:mrow> </mml:math> , 70–280, and 280–350 mm. The three-parameter Weibull distribution substantially improves global material-phase distribution fitting accuracy compared with two-parameter models, as well as beta and gamma distributions, conducive to accurate mesomaterial characteristics reconstruction of RC-SFRC segments.

Journal of Materials in Civil EngineeringVol. 38(10)
Tongji University (CN)
Sustainable cities and communities
Openalex Percentile: Top 13%
Innovative concrete reinforcement materials
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.