Results 221 to 230 of about 246,303 (282)

Risk maps for urban fire with geospatial model-based framework. [PDF]

Sci Rep
Wu K, Lu S, Jiang Y, Chen M, Luo J, Jiang L, Zhang T, Zhang Y, Huang X.   +8 more
europepmc   +1 more source

Random finite element analysis on ground subsidence caused by tunnel excavation in karst regions with spatial variable soil

Deep Underground Science and Engineering, EarlyView.
This study investigates ground subsidence during tunnel excavation in karst areas, highlighting the combined effects of karst cave proximity, cave size, and soil spatial variability. Findings suggest that shorter cave distances and larger cave sizes increase subsidence variability, and a modified Peck formula is proposed for more accurate subsidence ...
Zhenghong Su, Yong Fu, Miaomiao Sun, Kailin Ding, Ying Zhao   +4 more
wiley   +1 more source

Exploring wave propagation behaviors in rock: A grain‐based perspective on mineral structures

Deep Underground Science and Engineering, EarlyView.
This study investigates wave propagation in rock at the grain scale using a grain‐based model, revealing that mineral elastic modulus significantly influences wave attenuation while grain size and distribution have limited effects. A novel peak particle velocity attenuation prediction model is proposed and validated for grain‐scale wave propagation ...
Zhiyi Liao, Jiachen Xu, Kai Zhang, Changtai Zhou   +3 more
wiley   +1 more source

Forecasting daily bathtub-drowning mortality in Japan: a comparative analysis of statistical, machine learning, and deep learning approaches. [PDF]

Front Public Health
Tai Y, Obayashi K, Yamagami Y, Saeki K.
europepmc   +1 more source

A rock brittleness index based on the postpeak energy release rate and damage surface characteristics for brittle hard rock

Deep Underground Science and Engineering, EarlyView.
This study examines energy evolution in rock rupture via triaxial direct shear tests, exploring the impact of confining pressure and temperature on fracture surface randomness. A novel energy‐based brittleness index is proposed, validated experimentally, and compared with existing methods for reliability and accuracy.
Biao Wang, Zaobao Liu, Jing Xue, Bo Lu, Wei Zeng, Dengke Zhang   +5 more
wiley   +1 more source

Spatial and temporal modeling of breast cancer mortality in Kansas: An R-INLA approach. [PDF]

PLoS One
Colwell S, Chalise P, Gajewski B, Ratnayake I, Mudaranthakam DP.   +4 more
europepmc   +1 more source

Multiple injection techniques to stimulate complex fracture networks in coal reservoirs: A case study on gas disaster reduction of subsurface coal mine in southwest China

Deep Underground Science and Engineering, EarlyView.
An experimental device for physical simulation of hydraulic fracturing, comprising: a load‐bearing mechanism with multiple interconnected plates that collectively form an sample chamber; a load‐generating mechanisms, with multiple load‐generating mechanisms arranged within the experimental chamber.
Delei Shang, Farui Shi, Jun Lu, Minghui Li, Cunbao Li, Heping Xie   +5 more
wiley   +1 more source

Spatiotemporal epidemiology and associated risk factors of tuberculosis incidence and mortality in Indonesia 2017-2022: a nationwide space-time hierarchical analysis. [PDF]

Popul Health Metr
Farkhan A, Pakasi TT, Sulistyo S, Salsabila A, James Maude R, Rotejanaprasert C.   +5 more
europepmc   +1 more source

Advancing mine pillar design: Evaluating traditional methods and integrating AI for enhanced stability of pillars in the Great Dyke, Zimbabwe

Deep Underground Science and Engineering, EarlyView.
B1 is bord width 1, B2 is bord width 2, L is the pillar length, W is the pillar width, red color and letter A represent the pillars, and white color and number 1 represent excavated areas. Pstress is the average pillar stress; σv is the vertical component of the virgin stress, MPa; and e is the areal extraction ratio. e = B o B o + B P ${\rm{e}}=\frac{{
Tawanda Zvarivadza, Hendrik Grobler, Peter Apata Olubambi, Moshood Onifade, Manoj Khandelwal   +4 more
wiley   +1 more source

Probabilistic Models for Two-Phase Materials. [PDF]

Materials (Basel)
Grigoriu M.
europepmc   +1 more source