Ying Shi

Dr. Ying Shi

orcid

Research Focus & Metrics

Academic Career Length

12Years (2015-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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1 November 2020 in Journal of Hazardous Materials
Verified
Journal Article
Closed access
SZShitong ZHOU
Shitong ZHOU
XLXibing Li
Xibing Li
YZYanan Zhou
Yanan Zhou
CMChendi Min
Chendi Min
Ying ShiYing Shi
Ying Shi

4 August 2022 in Science of The Total Environment
Verified
Journal Article
Closed access
MTMing Tao
Ming Tao
DLDaoming Lu
Daoming Lu
Ying ShiYing Shi
Ying Shi
CWChengqing Wu
Chengqing Wu

28 December 2022 in Materials
Verified
Journal Article
Open access
PDF file
SXshuai xiong
shuai xiong
ZLZhixiang Liu
Zhixiang Liu
CMChendi Min
Chendi Min
Ying ShiYing Shi
Ying Shi
SZShuangxia Zhang
Shuangxia Zhang
WLweijun Liu
weijun Liu
Unconfined compressive strength (UCS) is the most significant mechanical index for cemented backfill, and it is mainly determined by traditional mechanical tests. This study optimized the extreme gradient boosting (XGBoost) model by utilizing the whale optimization algorithm (WOA) to construct a hybrid model for the UCS prediction of cemented backfill. The PT proportion, the OPC proportion, the FA proportion, the solid concentration, and the curing age were selected as input variables, and the UCS of the cemented PT backfill was selected as the output variable. The original XGBoost model, the XGBoost model optimized by particle swarm optimization (PSO-XGBoost), and the decision tree (DT) model were also constructed for comparison with the WOA-XGBoost model. The results showed that the values of the root mean square error (RMSE), coefficient of determination (R2), and mean absolute error (MAE) obtained from the WOA-XGBoost model, XGBoost model, PSO-XGBoost model, and DT model were equal to (0.241, 0.967, 0.184), (0.426, 0.917, 0.336), (0.316, 0.943, 0.258), and (0.464, 0.852, 0.357), respectively. The results show that the proposed WOA-XGBoost has better prediction accuracy than the other machine learning models, confirming the ability of the WOA to enhance XGBoost in cemented PT backfill strength prediction. The WOA-XGBoost model could be a fast and accurate method for the UCS prediction of cemented PT backfill.

26 May 2019 in Minerals
Verified
Journal Article
Open access
PDF file
XLXibing Li
Xibing Li
SZShitong ZHOU
Shitong ZHOU
YZYanan Zhou
Yanan Zhou
CMChendi Min
Chendi Min
ZCZhiwei Cao
Zhiwei Cao
Ying ShiYing Shi
Ying Shi
In this study, the durability of phosphogypsum (PG)-based cemented backfill was investigated by drying-wetting cycles to explore deterioration of its strength and the release of impurities. The leachates in this test were composed of deionized water, 5% Na2SO4 solution, 5% NaCl solution, and a range of sulfuric acid solutions with pH values of 1.5, 3, and 5. After drying-wetting cycles, unconfined compressive strength (UCS), visual deterioration, porosity, microstructure and concentrations of phosphate and fluoride in the leachates were measured. The results showed that both saline and acidic solutions could lead to strength reduction of PG-based cemented backfill under different deterioration mechanisms. The mechanical damage of salinity was caused by micro-cracking and degradation of C–S–H. However, the H+ broke the backfill by dissolving hydration products, leaving the conjunctures between PG particles weakened. Furthermore, the environmental impact was investigated by measuring the concentration of phosphate and fluoride in the leachates. In acidic solutions, the release of phosphate and fluoride was greatly enhanced by H+. Compared to the great strength deterioration in saline leachates, the concentration of phosphate and fluoride were similar to that of deionized water, indicating that saline solutions had little impact on the release of hazardous impurities.

4 November 2023 in Construction and Building Materials
Verified
Journal Article
Closed access
CMChendi Min
Chendi Min
ZLZhixiang Liu
Zhixiang Liu
Ying ShiYing Shi
Ying Shi
XLXinyue Lu
Xinyue Lu

10 January 2019 in Minerals
Verified
Journal Article
Open access
PDF file
XLXibing Li
Xibing Li
YZYanan Zhou
Yanan Zhou
Quanqi ZhuQuanqi Zhu
Quanqi Zhu
SZShitong ZHOU
Shitong ZHOU
CMChendi Min
Chendi Min
Ying ShiYing Shi
Ying Shi
The cemented phosphogypsum (PG) backfill technique provides a new method for massive consumption of PG, and therefore alleviating the environmental pollution of PG. This study considered the effects of slurry preparation on the performance of cemented PG backfill. A L16(44) orthogonal experiment was designed to analyze four factors, namely the solid content, phosphogypsum-to-binder ratio (PG/B ratio), stirring time and stirring speed, with each factor having four levels. According to the range analysis, the solid content played the dominant role in controlling the bleeding rate, while the setting times strongly depended on the PG/B ratio. In terms of strength development of the backfill, the PG/B ratio was shown to be the most significant factor determining the unconfined compressive strength (UCS), followed by the solid content, stirring time and stirring speed. Furthermore, the results showed that the slurry preparation affected the environmental behavior of impurities that originated in PG. By analyzing the concentrations of impurities in the bleeding water of the slurry as well as the leachates of the tank leaching test, the results showed that the release of F− and SO42− was aggravated clearly with the increase in the PG/B ratio, while the release of PO43− always remained at relatively low levels.