Evidence map›Paper›PMID 36233892›Full record

ArticleMaterials (Basel, Switzerland)2022

Experimental Investigation on the Mechanical Performance of Steel-ECC Composite Girders with Corrugated Webs under Negative Moment.

Zhou Fan, Fangwen Wu, Lanqing He, Runbin He, Keyang Zeng, Zhuangzhuang Liu

Abstract read
In one paragraph

Article in Materials (Basel, Switzerland), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

6 authors.

Zhou FanSchool of Highway, Chang'an University, Xi'an 710064, China.ORCID 0000-0002-0263-6614
Fangwen WuSchool of Highway, Chang'an University, Xi'an 710064, China.
Lanqing HeSchool of Highway, Chang'an University, Xi'an 710064, China.
Runbin HeSchool of Highway, Chang'an University, Xi'an 710064, China.
Keyang ZengSchool of Highway, Chang'an University, Xi'an 710064, China.
Zhuangzhuang LiuSchool of Highway, Chang'an University, Xi'an 710064, China.

Funding

the Fundamental Research Funds for the Central Universities Grant No. 300102212212the Natural Science Basic Research Program of Shaanxi Province Grant No. 2022JZ-32
6 · The paper itself

Abstract

In order to improve the cracking performance in the negative moment region of composite continuous girder bridges with corrugated webs, engineered cementitious composite (ECC) is used instead of conventional normal concrete (NC). Web and concrete types are used as the main research parameters in experiments. The test results indicate that steel-ECC specimens have a higher flexural load capacity and stiffness than steel-NC specimens. The cracks of steel-ECC specimens are characterised by small width and dense distribution. Nonlinear finite element models are established and verified by experimental results. The simulated load-displacement curves are similar to the experimental ones, and the models have a high degree of accuracy. The ECC slab strength, thickness and width are used as parameters for the investigation to analyse the effect of the ECC slab on the flexural bearing capacity of composite girders. Compared with the results of calculations according to the code, the bearing capacity obtained from the parametric analysis is higher. It suggests that the contribution of the ECC slab needs to be considered when calculating the bearing capacity of the steel-ECC composite girder with corrugated webs.

Indexed as

composite girderscorrugated websengineered cementitious composite (ECC)mechanical performancenegative moment

Identifiers

PMID36233892
PMCPMC9573003

What OpenQuestion holds

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LicenceCC BY
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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.