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274 results on '"Ma, Shengqiang"'

3. A Review of Research on Algorithmic Modeling in Landslide Hazards - Visualization and Analysis Based on VOSviewer

Author

Dai, Xiaomin, Xing, Liuyang, Ye, Zijie, He, Rong, Ma, Shengqiang, Chan, Albert P. C., Series Editor, Hong, Wei-Chiang, Series Editor, Mellal, Mohamed Arezki, Series Editor, Narayanan, Ramadas, Series Editor, Nguyen, Quang Ngoc, Series Editor, Ong, Hwai Chyuan, Series Editor, Sachsenmeier, Peter, Series Editor, Sun, Zaicheng, Series Editor, Ullah, Sharif, Series Editor, Wu, Junwei, Series Editor, Zhang, Wei, Series Editor, Li, Dayong, editor, Zhang, Yu, editor, and Luan, Yalin, editor

Published
2023
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4. Evolution Path and Application Scenario of Slope Geological Disaster Monitoring--Knowledge Graph Based on Citespace

Author

Dai, Xiaomin, Ye, Zijie, Xing, Liuyang, He, Rong, Ma, Shengqiang, Chan, Albert P. C., Series Editor, Hong, Wei-Chiang, Series Editor, Mellal, Mohamed Arezki, Series Editor, Narayanan, Ramadas, Series Editor, Nguyen, Quang Ngoc, Series Editor, Ong, Hwai Chyuan, Series Editor, Sachsenmeier, Peter, Series Editor, Sun, Zaicheng, Series Editor, Ullah, Sharif, Series Editor, Wu, Junwei, Series Editor, Zhang, Wei, Series Editor, Li, Dayong, editor, Zhang, Yu, editor, and Luan, Yalin, editor

Published
2023
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8. Cost Forecasting for Building Rebar under Uncertainty Conditions: Methodology and Practice.

Author

Dai, Xiaomin, Gao, Peng, and Ma, Shengqiang

Subjects
PRICES, MOVING average process, WHITE noise, PRICE fluctuations, TIME series analysis
Abstract

As large-scale infrastructure construction projects conclude, the overall civil construction market shrinks, leading to increased competition among construction companies. Accordingly, various construction companies are gradually emphasizing the issue of project costs. Numerous studies have shown the impact of material costs on the overall project cost. However, sharp fluctuations in material prices have been observed in recent years due to various unstable factors in the market. Thus, accurate prediction of material prices facilitates the development of appropriate material procurement strategies to deal with market risks. This paper collects the rebar prices announced in the first half of 2023 in China's Guangdong Province, selects one type of rebar price as a representative, and analyzes the time series characteristics of the rebar price composition. Then, it judges whether the time series passes the white noise detection, grey correlation detection, and level ratio detection. The prediction model is established based on the seasonal auto-regressive integrated moving average (SARIMA) model and the grey model (GM) (1.1) to predict future rebar prices. According to the characteristics of the rebar price data in June 2023, the residual inverse method combines the results predicted by the two models. The price in the early and middle of July 2023 is then predicted using the newly constructed combined model. The results indicate that the combined model is more accurate than the single prediction model. [ABSTRACT FROM AUTHOR]

Published
2024
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14. Influence of SiC content in B4C–nSiC composites corrosion in molten FLiNaK salt at 800°C.

Author

Wang, Kui, Jia, Junhong, Chen, Wei, Hui, Junjie, He, Nairu, and Ma, Shengqiang

Subjects
FUSED salts, CORROSION resistance, CRYSTAL grain boundaries, GRAIN size, MICROSTRUCTURE, CERAMIC-matrix composites, PETROPHYSICS
Abstract

The present study investigates the influences of SiC incorporation on the microstructure and corrosion behavior of B4C–nSiC composites in molten FLiNaK salt at 800°C. The corrosion characteristics and mechanisms of B4C–nSiC composites in molten FLiNaK salt were thoroughly characterized and extensively discussed. The B4C–nSiC composites exhibited a more refined grain size and lowered apparent porosity as the SiC content increased. Additionally, the concentration of high‐angle grain boundaries (HAGBs) in B4C–nSiC composites increased as the SiC content increased. The incorporation of 10 wt.% SiC improved the corrosion resistance of B4C–nSiC composites against molten FLiNaK salt. However, the incorporation of excessive SiC (≥20 wt.%) did not improve the corrosion resistance. The best corrosion resistance of B4C–10% SiC ceramic composite was attributed, on the one hand, to its relatively low apparent porosity and the low concentration of HAGBs with high structural disorder. On the other hand, the selective corrosion of B4C in B4C–10% SiC ceramic composite rapidly formed a sufficiently thick and highly graphitized C‐rich layer on its surface during the initial stages of the corrosion test. The C‐rich layer maintained the integral structure of the ceramic and prevented subsequent corrosive medium from penetrating into the ceramic. [ABSTRACT FROM AUTHOR]

Published
2024
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