Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 461Innovative concrete reinforcement materialsConcrete Properties and BehaviorStructural Behavior of Reinforced Concrete

The DOI matches its Crossref record; 49 of the 49 references it cites were found in a registry or an index.

Investigation of mechanical properties and shrinkage of ultra-high performance concrete: Influence of steel fiber content and shape

Wu, Zemei, Shi, Caijun, Khayat, Kamal Henri·2019·Composites Part B Engineering

Abstract

Abstract Use of steel fibers in ultra-high performance concrete (UHPC) plays a significant role in enhancing strength and toughness and restraining shrinkage. This paper investigates the effect of steel fiber content and shape on mechanical strength, toughness, and autogenous and drying shrinkage of UHPC. Three steel fiber shapes, including straight, corrugated, and hooked fibers, with volume fraction ranging from 0 to 3% were employed. Compressive, flexural, and fiber-matrix bond strengths were evaluated. A statistical quadratic model and the Composite Theory were employed to predict the flexural strength of UHPC. Test results indicated that the increase in fiber volume can enhance the compressive and flexural strengths of UHPC and reduce shrinkage. The optimum fiber content for strength and shrinkage was found at 2%, beyond which the strength was slightly increased and the shrinkage was slightly decreased. For a given fiber content, the use of hooked fibers was most efficient in improving fiber-matrix bond and flexural strengths and reducing shrinkage. The flexural strengths of UHPC made with various fiber contents and shapes can be predicted using the proposed quadratic model and the Composite Theory. The latter considers the primary parameters affecting performance, including bond strength, matrix properties, and fiber characteristics. Finally, several models were used to simulate autogenous shrinkage behavior of UHPC and optimal models were found.

Overview

Integrity signals

Registry

Crossref · 10.1016/j.compositesb.2019.107021

Cites

49 of 49 references verified0 citation errors · 0 not checkable

Statistics

Recomputing p-values needs the paper’s full text.

Verification

Claims the paper makes

We couldn’t retrieve this paper’s full text, so its claims and self-check weren’t run. The registry and citation checks still apply.

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

Citations

Cites

Show all 49 references

Research works printed but not linked: 2

  1. Wu, 2018, Multi-scale investigation of microstructure, fiber pullout behavior, and mechanical properties of ultra-high performance concrete with nano- CaCO3 particles, Cement Concr Compos, 86, 10.1016/j.cemconcomp.2017.11.014 · DOI · Paper page
  2. Kang, 2011, The relation between fiber orientation and tensile behavior in an ultra high performance fiber reinforced cementitious composites (UHPFRCC), Cement Concr Res, 41, 1001, 10.1016/j.cemconres.2011.05.009 · DOI · Paper page

Cited by

See all 461

Metadata

Authors
Wu, Z., Shi, C., & Khayat, K. H.
Affiliations
  • Hunan University (CN)
  • Missouri University of Science and Technology (US)
Corresponding author
  • Shi, Caijun
  • Khayat, Kamal Henri
Venue
Composites Part B Engineering
Publisher
Elsevier BV
Published
2019-10
Volume
174
Pages
107021
ISSN
1359-8368 (ISSN-L)
OpenAlex
W2948047681
Cited by
454
References
49
Citations by year
2026: 64 · 2025: 89 · 2024: 83 · 2023: 87 · 2022: 67 · 2021: 45 · 2020: 16 · 2019: 3
FWCI
23.74
Type
journal article
Language
en
Open access
closed
Licence
  • www.elsevier.com/tdm/userlicense/1.0/ (tdm)
  • www.elsevier.com/legal/tdmrep-license (tdm)
Locations
Composites Part B Engineering (publishedVersion)
Funders
  • Ministry of Science and Technology (2018YFC0705400)
  • National Science Foundation of China (U1305243)
  • Energy Consortium Research Center of Missouri S&T (SMR-1406-09)
Topics
  • Physical Sciences › Engineering › Civil and Structural Engineering › Innovative concrete reinforcement materials
  • Physical Sciences › Engineering › Civil and Structural Engineering › Concrete Properties and Behavior
  • Physical Sciences › Engineering › Building and Construction › Structural Behavior of Reinforced Concrete
Keywords
ultra-high performance concrete, steel fibers, fiber content, fiber shape, hooked fibers, autogenous shrinkage, drying shrinkage, compressive strength, flexural strength, fiber-matrix bond strength, composite theory, quadratic model, shrinkage prediction

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review

How to cite

Cite CoChat for the checks on this page, and the paper for its own findings.

This page
CoChat. (2026). Citation check: Investigation of mechanical properties and shrinkage of ultra-high performance concrete: Influence of steel fiber content and shape. https://app.cochat.ai/papers/10.1016/j.compositesb.2019.107021
The paper
Wu, Z., Shi, C., & Khayat, K. H. (2019). Investigation of mechanical properties and shrinkage of ultra-high performance concrete: Influence of steel fiber content and shape. Composites Part B Engineering. https://doi.org/10.1016/j.compositesb.2019.107021

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.