Evidence map›Paper›PMID 38891525›Full record

ArticlePolymers2024

Optimization of Cohesive Parameters in the Interfacial Transition Zone of Rubberized Concrete Based on the Response Surface Method.

Kai Min, Xianfeng Pei, Houmin Li, Zhou Cao, Zijiang Yang, Dingyi Hao, Wenchao Li, Cai Liu, Keyang Wu

Abstract read
In one paragraph

Article in Polymers, 2024. 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. Article
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

9 authors.

Kai MinSchool of Engineering, Architecture and the Environment, Hubei University of Technology, Wuhan 430068, China.
Xianfeng PeiSchool of Engineering, Architecture and the Environment, Hubei University of Technology, Wuhan 430068, China.ORCID 0009-0006-5091-7345
Houmin LiSchool of Engineering, Architecture and the Environment, Hubei University of Technology, Wuhan 430068, China.
Zhou CaoChina Construction Third Bureau First Engineering Co., Ltd., Wuhan 430040, China.
Zijiang YangChina Construction Third Bureau First Engineering Co., Ltd., Wuhan 430040, China.
Dingyi HaoSchool of Engineering, Architecture and the Environment, Hubei University of Technology, Wuhan 430068, China.
Wenchao LiSchool of Engineering, Architecture and the Environment, Hubei University of Technology, Wuhan 430068, China.
Cai LiuSchool of Engineering, Architecture and the Environment, Hubei University of Technology, Wuhan 430068, China.
Keyang WuWuhan Construction Engineering Co., Ltd., Wuhan 430056, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Rubber concrete has been applied to a certain extent in fatigue-resistant structures due to its good durability. Based on a cohesive model of rubber composed of a five-phase material containing mortar, aggregate, rubber, aggregate-mortar interfacial transition zone (ITZ), and rubber-mortar ITZ, this paper studies the influence of the cohesive parameters in the rubber-mortar ITZ on the fatigue problem of rubber concrete on the mesoscopic scale. As the weak part of cement-based composite materials, the ITZ has a great influence on the mechanical properties and durability of concrete, but the performance of the ITZ is difficult to test in macro experiments, resulting in difficulties in determining its simulation parameters. Based on the cohesive model with a rubber content of 5%, this study uses Monofactor analysis and the Plackett-Burman test to quickly and effectively determine the primary and secondary influences of the cohesive model parameters in the rubber-mortar ITZ; further, the response surface method is used to optimize the cohesive parameters in the rubber-mortar ITZ, and the numerical simulation results after optimizing the cohesive parameters are compared and analyzed with the simulation results before optimization. The results show that, under the setting of the optimized parameters, the simulation results of each item of the optimal cohesive model parameters in the rubber-mortar ITZ are in line with the reality and closer to the experimental data, and they are also applicable to rubber concrete models with different rubber dosing.

Indexed as

cohesive parametersITZnumerical simulationRSMrubber concrete

Identifiers

PMID38891525
PMCPMC11174936

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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.