Evidence map›Paper›PMID 37110991›Full record

ArticleNanomaterials (Basel, Switzerland)2023

Prediction Model and Mechanism for Drying Shrinkage of High-Strength Lightweight Concrete with Graphene Oxide.

Xiaojiang Hong, Jin Chai Lee, Jing Lin Ng, Muyideen Abdulkareem, Zeety Md Yusof, Qiansha Li, Qian He

Abstract read
In one paragraph

Article in Nanomaterials (Basel, Switzerland), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Article
  2. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Xiaojiang HongDepartment of Civil Engineering, Faculty of Civil and Hydraulic Engineering, Xichang University, Xichang 615013, China.ORCID 0000-0002-0698-0594
Jin Chai LeeDepartment of Civil Engineering, Faculty of Engineering, Technology and Built Environment, UCSI University, Kuala Lumpur 56000, Malaysia.
Jing Lin NgDepartment of Civil Engineering, Faculty of Engineering, Technology and Built Environment, UCSI University, Kuala Lumpur 56000, Malaysia.
Muyideen AbdulkareemDepartment of Civil Engineering, Faculty of Engineering, Technology and Built Environment, UCSI University, Kuala Lumpur 56000, Malaysia.
Zeety Md YusofDepartment of Civil Engineering, Faculty of Civil Engineering and Built Environment, Universiti Tun Hussein Onn Malaysia, Johor 86400, Malaysia.
Qiansha LiDepartment of Civil Engineering, Faculty of Civil and Hydraulic Engineering, Xichang University, Xichang 615013, China.
Qian HeDepartment of Civil Engineering, Faculty of Civil and Hydraulic Engineering, Xichang University, Xichang 615013, China.

Funding

the Doctoral Research Foundation of Xichang University YBZ202144UCSI University Research Excellence & Innovation Grant (REIG) REIG-FETBE-2022/017
6 · The paper itself

Abstract

The excellent performance of graphene oxide (GO) in terms of mechanical properties and durability has stimulated its application potential in high-strength lightweight concrete (HSLWC). However, more attention needs to be paid to the long-term drying shrinkage of HSLWC. This work aims to investigate the compressive strength and drying shrinkage behavior of HSLWC incorporating low GO content (0.00-0.05%), focusing on the prediction and mechanism of drying shrinkage. Results indicate the following: (1) GO can acceptably reduce slump and significantly increase specific strength by 18.6%. (2) Drying shrinkage increased by 8.6% with the addition of GO. A modified ACI209 model with a GO content factor was demonstrated to have high accuracy based on the comparison of typical prediction models. (3) GO not only refines the pores but also forms flower-like crystals, which results in the increased drying shrinkage of HSLWC. These findings provide support for the prevention of cracking in HSLWC.

Indexed as

drying shrinkagegraphene oxidehigh-strength lightweight concretemicrostructuremodified prediction modelpore structureshale ceramsite

Identifiers

PMID37110991
PMCPMC10142614

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.