Characterization and Quantitative Analysis of Unfrozen Water at Ultra-low Temperatures: Insights from NMR and MD study DOI
Zhifeng Ren, Yuanyuan Zheng, Bo Li

et al.

Journal of Hydrology, Journal Year: 2024, Volume and Issue: 647, P. 132354 - 132354

Published: Nov. 18, 2024

Language: Английский

Field test study on thermal performance of a novel embankment using solar refrigeration technology DOI
Zhaohui Sun, Jiankun Liu, Tian You

et al.

Renewable Energy, Journal Year: 2024, Volume and Issue: 226, P. 120392 - 120392

Published: March 26, 2024

Language: Английский

Citations

7
Optimization of a three-stage cascade refrigeration system operating with natural refrigerants to produce low temperatures by applying a bio-inspired method DOI
Malek Hamzaoui, Samir Tiachacht,

Ahmed Hadiouche

et al.

Thermal Science and Engineering Progress, Journal Year: 2024, Volume and Issue: 50, P. 102519 - 102519

Published: March 16, 2024

Language: Английский

Citations

6
Study of flow stress in Mg-Gd-Y-Nd-Zr alloys based on IWOA-BPNN model DOI Creative Commons
Haoze Qin, Shuang Kang, Wanru Tang

et al.

Journal of Materials Research and Technology, Journal Year: 2024, Volume and Issue: 30, P. 2848 - 2857

Published: April 6, 2024

This study investigates the compression deformation behavior of an Mg-Gd-Y-Nd-Zr alloy at temperatures ranging from 293 K to 573 and strain rates 293K 573K 1000 s−1 2100 using a split Hopkinson pressure bar. A modified Johnson-Cook (JC) constitutive model backpropagation neural network (BPNN) based on improved whale optimization algorithm (IWOA) are established. Four statistical metrics, including correlation coefficient (R), mean absolute error (MAE), percentage (MAPE), root square (RMSE), employed evaluate predictive accuracy two models. The findings indicate that flow stress is sensitive strain, rate, temperature. Increasing rate or decreasing temperature results in higher stress. Error calculations revealed has R 0.98731, MAPE 7.3653%, MAE 19.6305 MPa, RMSE 26.5704 MPa. In contrast, established IWOA-BPNN 0.99996, 0.58894%, 1.2671 1.7709 demonstrates accurately predicts alloy.

Language: Английский

Citations

4
A nonlinear elastic-strain hardening model for frozen improved sandy soil under uniaxial compression loading condition DOI
Bo Liu, Yanqing He, Yanhui Han

et al.

Cold Regions Science and Technology, Journal Year: 2024, Volume and Issue: 222, P. 104205 - 104205

Published: April 15, 2024

Language: Английский

Citations

4
A novel large-scale direct shear apparatus considering size effects on strength of frozen coarse-grained soils DOI

Junlin Zhao,

Liyun Peng,

Zuoliang Hao

et al.

Transportation Geotechnics, Journal Year: 2024, Volume and Issue: 48, P. 101365 - 101365

Published: Sept. 1, 2024

Language: Английский

Citations

3
Atomistic origin of montmorillonite clay subjected to freeze-thaw hysteresis DOI Creative Commons
Pengchang Wei, Zhen‐Yu Yin, Chi Yao

et al.

Journal of Rock Mechanics and Geotechnical Engineering, Journal Year: 2024, Volume and Issue: unknown

Published: Nov. 1, 2024

Language: Английский

Citations

3
A Hybrid Prediction Model Based on EEMD-LSTM-WOA for Wind Speed Prediction DOI

厚桦 何

Advances in Applied Mathematics, Journal Year: 2024, Volume and Issue: 13(10), P. 4486 - 4497

Published: Jan. 1, 2024

Language: Английский

Citations

0
Characterization and Quantitative Analysis of Unfrozen Water at Ultra-low Temperatures: Insights from NMR and MD study DOI
Zhifeng Ren, Yuanyuan Zheng, Bo Li

et al.

Journal of Hydrology, Journal Year: 2024, Volume and Issue: 647, P. 132354 - 132354

Published: Nov. 18, 2024

Language: Английский

Citations

0