scholarly journals A Study on the Development of Strength Prediction Model and Strength Control for Construction Field by Maturity Method

2003 ◽  
Vol 15 (1) ◽  
pp. 87-94
Author(s):  
Moo-Han Kim ◽  
Jong-Ho Jang ◽  
Jae-Hyun Nam ◽  
Bae-Su Khil ◽  
Suk-Pyo Kang
Keyword(s):  
Prediction Model ◽  
Strength Prediction ◽  
Maturity Method

scholarly journals A Study on Development of Strength Prediction Model for Construction Field by Maturity Method

2002 ◽  
Vol 2 (4) ◽  
pp. 177-182
Author(s):  
Moo-Han Kim ◽  
Jae-Hyun Nam ◽  
Bae-Su Khil ◽  
Se-Jin Choi ◽  
Jong-Ho Jang ◽  
...  
Keyword(s):  
Prediction Model ◽  
Strength Prediction ◽  
Maturity Method

scholarly journals Research on Residual Strength Prediction Model of Corroded Pipeline Based on Improved PSO-BP

2021 ◽  
Vol 687 (1) ◽  
pp. 012007
Author(s):  
Li Tingke ◽  
Peng Yuanchun ◽  
Li Jiadi ◽  
Dulin ◽  
Lian Xingqin
Keyword(s):  
Prediction Model ◽  
Residual Strength ◽  
Strength Prediction ◽  
Improved Pso

Study of a strength prediction model of unsaturated compacted expansive soil under freeze–thaw cycles

2022 ◽  
Vol 15 (2) ◽  
Author(s):  
Zhongnian Yang ◽  
Qi Zhang ◽  
Wei Shi ◽  
Zhaochi Lu ◽  
Zhibin Tu ◽  
...  
Keyword(s):  
Prediction Model ◽  
Expansive Soil ◽  
Strength Prediction ◽  
Freeze Thaw

Strength Prediction of Cold Asphalt Emulsion Mixtures Using the Maturity Method

2020 ◽  
Vol 32 (5) ◽  
pp. 04020096
Author(s):  
Magdalene Nafula Otieno ◽  
James Wambua Kaluli ◽  
Charles Kabubo
Keyword(s):  
Strength Prediction ◽  
Asphalt Emulsion ◽  
Maturity Method

scholarly journals A Novel Prediction Model of Strength of Paste Backfill Prepared from Waste-Unclassified Tailings

2019 ◽  
Vol 2019 ◽  
pp. 1-10
Author(s):  
Haiyong Cheng ◽  
Shunchuan Wu ◽  
Xiaoqiang Zhang ◽  
Junhong Li
Keyword(s):  
Prediction Model ◽  
Prediction Models ◽  
Orthogonal Design ◽  
Influential Factors ◽  
Waste Rock ◽  
Strength Prediction ◽  
Strength Development ◽  
Local Conditions ◽  
Unclassified Tailings ◽  
Paste Backfill

Paste backfilling is an important support for the development of green mines and deep mining. It can effectively reduce a series of risks of underground goaf and surface tailings ponds. Reasonable strength of backfill is an effective guarantee for controlling ground stress and realizing safe mining function. Under the combination of complex materials and local conditions, ensuring the optimal design and effective proportion for paste backfill strength is the bottleneck problem that restricts the safety, economy, and efficiency of filling mining. The strength developing trend of paste backfilling prepared from waste rock and unclassified tailings has been studied. Different levels of cement contents, tailings-waste ratios, and slurry concentrations were investigated through orthogonal design to obtain the relationship between the UCS and the multi-influential factors. Combined with the experimental results and the previous strength prediction models, the waste rock-unclassified tailings paste strength prediction model was proposed. Introducing the water-cement ratio, the cement-tailings ratio, the amount of cement, and the packing density that characterizing the overall gradation of unclassified tailings and waste rock, as well as the curing time, a strength prediction model of multifactors was developed. Moreover, the microscopic structure of the paste prepared from waste-unclassified tailings was analyzed with an Environment Scanning Electron Microscope (ESEM), and the influence mechanism was ascertained. The weight coefficient of strength development is carded in this paper, and the strength model of unclassified tailings-waste paste considering five factors is obtained, which is of great significance to guide the mining engineering.

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