Results 121 to 130 of about 11,662 (257)

Advances in vital‐sign prediction and early‐warning models for underground coal mine workers integrating environmental factors

Deep Underground Science and Engineering, EarlyView.
This review synthesizes advances in predicting miners' vital signs by integrating environmental monitoring (dust, temperature, and gas) with physiological data. It highlights multi‐source data fusion techniques and early‐warning models for enhanced occupational safety in underground coal mines.
Junji Zhu, Dawei Cui, Yingjie Liu, Yuntao Liang, Yue Zhang   +4 more
wiley   +1 more source

When the earth and sky dance: seismic shakes meet weather patterns. [PDF]

Contin Mech Thermodyn
Kandiah A, Movchan AB, Frid V.
europepmc   +1 more source

Carbon emission assessment of tunnel infrastructures: From construction to operation

Deep Underground Science and Engineering, EarlyView.
This study develops a lifecycle carbon accounting framework for tunnel infrastructures, covering design, construction, operation, maintenance, and dismantling. Applied to a subsea tunnel case, the framework reveals the carbon emission distribution among four typical tunnel types and highlights potential carbon offset methods for low‐carbon tunnel ...
Luyuan Long, Wout Broere, Xuehui Zhang, Tian Xia, Richard de Nijs   +4 more
wiley   +1 more source

Effects of ground motion spectral characteristics on RC frame fragility considering liquefaction. [PDF]

Sci Rep
Fei Y, Chen LW, Gan SC, Tang LZ, Cui Z.
europepmc   +1 more source

Upper bound limit analysis of coral reef limestone cavern roof stability incorporating a tension‐shear failure mechanism with tensile‐strength cut‐off

Deep Underground Science and Engineering, EarlyView.
For the roof of coral reef limestone caverns, a novel tension‐shear composite failure mechanism was developed. The most critical tensile crack model was identified using a hybrid optimization algorithm, and the stability of the cavern roof was analyzed accordingly.
Dongsheng Xu, Chenxu Li, Chuantan Hou
wiley   +1 more source

An optimization-driven hierarchical deep learning approach using the Gray Langurs algorithm for data-driven seismic activity prediction. [PDF]

Sci Rep
Shabrawy M, El-Kenawy EM, Abdel-Hamid NB, Abdelsalam MM.   +3 more
europepmc   +1 more source

Fluid‐induced slip on a rate‐and‐state fault during co‐ and post‐injection: The interplay of fluid pressure diffusion and poroelastic stress

Deep Underground Science and Engineering, EarlyView.
Fault slip can occur ahead of the injection pressure front due to poroelastic stress. Our model captures the interaction of pressure, stress, and friction, providing new insights into injection‐induced seismicity and post‐injection fault slip. Shut‐in operations can either mitigate or accelerate seismic events depending on fault conditions and ...
Qifeng Xie, Lei Wang, Qi Li
wiley   +1 more source

Study on elastic-plastic displacement response spectra of base-isolated structures and its influencing factors. [PDF]

PLoS One
Xu T, Wang Y, Qian S, Meng Q, Guo S.
europepmc   +1 more source

Uniaxial compressive strength prediction and ratio parameter optimization of titanium tailings composite backfill materials using intelligent hybrid models

Deep Underground Science and Engineering, EarlyView.
Based on the 90 datasets, ERT and four optimization algorithms were used to build four hybrid models to predict the UCS of the backfill body. The SMA‐ERT model was the most effective model, and it can reliably guide the design of the backfill ratio parameters. Abstract This study analyzed the feasibility of using titanium (Ti) tailings as a backfilling
Weijun Liu, Zida Liu, Zhixiang Liu
wiley   +1 more source

Spatially validated assessment of seismic hazard-prone environments in Myanmar using multi-source data and interpretable machine learning. [PDF]

Sci Rep
Ning J, Sun Z, Wang Y, Xu Y, Zhang C.
europepmc   +1 more source