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

и другие.

Journal of Hydrology, Год журнала: 2024, Номер 647, С. 132354 - 132354

Опубликована: Ноя. 18, 2024

Язык: Английский

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

и другие.

Renewable Energy, Год журнала: 2024, Номер 226, С. 120392 - 120392

Опубликована: Март 26, 2024

Язык: Английский

Процитировано

8

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

и другие.

Thermal Science and Engineering Progress, Год журнала: 2024, Номер 50, С. 102519 - 102519

Опубликована: Март 16, 2024

Язык: Английский

Процитировано

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

и другие.

Journal of Materials Research and Technology, Год журнала: 2024, Номер 30, С. 2848 - 2857

Опубликована: Апрель 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.

Язык: Английский

Процитировано

5

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

и другие.

Cold Regions Science and Technology, Год журнала: 2024, Номер 222, С. 104205 - 104205

Опубликована: Апрель 15, 2024

Язык: Английский

Процитировано

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

и другие.

Transportation Geotechnics, Год журнала: 2024, Номер 48, С. 101365 - 101365

Опубликована: Сен. 1, 2024

Язык: Английский

Процитировано

3

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

и другие.

Journal of Rock Mechanics and Geotechnical Engineering, Год журнала: 2024, Номер unknown

Опубликована: Ноя. 1, 2024

Язык: Английский

Процитировано

3

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

厚桦 何

Advances in Applied Mathematics, Год журнала: 2024, Номер 13(10), С. 4486 - 4497

Опубликована: Янв. 1, 2024

Язык: Английский

Процитировано

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

и другие.

Journal of Hydrology, Год журнала: 2024, Номер 647, С. 132354 - 132354

Опубликована: Ноя. 18, 2024

Язык: Английский

Процитировано

0