Evidence map›Paper›PMID 37570063›Full record

ArticleMaterials (Basel, Switzerland)2023

Preparation a High-Performance of Gangue-Based Geopolymer Backfill Material: Recipes Optimization Using the Taguchi Method.

Sen Yang, Hongguang Zhu, Sen Pang, Zaijie Ruan, Sinuo Lin, Yi Ding, Pengpeng Cao, Zhengyan Shen

Abstract read
In one paragraph

Article in Materials (Basel, Switzerland), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

8 authors.

Sen YangSchool of Mechanics & Civil Engineering, China University of Mining and Technology (Beijing), Beijing 100083, China.ORCID 0000-0002-1111-9897
Hongguang ZhuSchool of Mechanics & Civil Engineering, China University of Mining and Technology (Beijing), Beijing 100083, China.ORCID 0000-0002-3516-1264
Sen PangBeijing Building Research Institute Corporation Limited of CSCEC, Beijing 100076, China.ORCID 0000-0002-9229-0708
Zaijie RuanSchool of Mechanics & Civil Engineering, China University of Mining and Technology (Beijing), Beijing 100083, China.
Sinuo LinSchool of Mechanics & Civil Engineering, China University of Mining and Technology (Beijing), Beijing 100083, China.
Yi DingSchool of Mechanics & Civil Engineering, China University of Mining and Technology (Beijing), Beijing 100083, China.
Pengpeng CaoSchool of Mechanics & Civil Engineering, China University of Mining and Technology (Beijing), Beijing 100083, China.
Zhengyan ShenSchool of Mechanics & Civil Engineering, China University of Mining and Technology (Beijing), Beijing 100083, China.

Funding

Beijing Natural Science Foundation Projects No.8164061China Construction First Group CSCEC Key Laboratory of Civil Engineering Materials-Low Carbon Building materials CSCEC1B-PT-010Excellent Youth Project of Basic Scientific Research Business Expenses of Central: Universities 2020YOLJ03National Natural Science Foundation of China No.51578539Platform Project" Research on key technologies of low cement content concrete PT-2023-27
6 · The paper itself

Abstract

The strip filling method in underground reservoir needs high strength to achieve the requirements of water storage. In order to address the challenges associated with costly and weak filling materials, this study aimed to develop an economically efficient and high-strength gangue-based geopolymer backfill material (GBGBM). To achieve this, the Taguchi method was employed to design a series of 25 experiments, each consisting of four factors and five levels. This study focused on investigating the effects of different gangue gradation levels, sand ratios, water binder ratios (w/b), and aggregate binder ratios (a/b) on the working characteristics and unconfined compressive strength (UCS) of the GBGBM. The optimal combination of the GBGBM was determined by employing a signal-to-noise ratio (S/N)-based extreme difference and variance analysis. The results revealed that the w/b ratio exerted the most substantial influence on both the slump and UCS. Specifically, when employing a gradation of 50%, a sand ratio of 55%, an a/b ratio of 2.5, and a w/b ratio of 0.64, the slump measured 251.2 mm, the UCS at 3d reached 5.27 MPa, and the UCS at 28d amounted to 17.65 MPa. These findings indicated a remarkable improvement in early UCS by 131.14% and the late UCS by 49.45% compared to gangue-based cement backfill material (GBCBM). Additionally, this study examined the hydration products and microstructures of both GBGBM and GBCBM using X-ray diffraction (XRD), scanning electron microscopy (SEM), and mercury intrusion porosimetry (MIP) analyses. Significantly, the GBGBM exhibited notable advantages over the GBCBM, including a 78.16% reduction in CO

Indexed as

gangue-based geopolymer backfill materialmicrostructurestrength behaviorTaguchi methodworkability

Identifiers

PMID37570063
PMCPMC10419611

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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.