Results 221 to 230 of about 267,916 (279)
Exploring wave propagation behaviors in rock: A grain‐based perspective on mineral structures
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 +3 more
wiley +1 more source
Jacobian Granger causality for count and binary data with applications to causal network inference. [PDF]
Suryadi, Chew LY, Ong YS.
europepmc +1 more source
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 +5 more
wiley +1 more source
Rforce: Random Forests for Composite Endpoints. [PDF]
Wang Y, Kim S, Lin CW, Ahn KW.
europepmc +1 more source
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 +5 more
wiley +1 more source
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 +4 more
wiley +1 more source
This review elucidates the velocity–dispersion–attenuation coupling mechanisms of wave propagation in rock masses, compares six representative models, and reveals how pressure, temperature, mineral composition, and anisotropy jointly control dynamic responses in complex geological media.
Jiajun Shu +8 more
wiley +1 more source
An overdispersed count regression model for analyzing road accident fatalities and injuries in Bangladesh. [PDF]
Newaz MN +4 more
europepmc +1 more source
Temperature generally drives latitudinal patterns in the strength of trophic interactions, including consumption rates. However, local community and other environmental conditions might also affect consumption, disrupting latitudinal gradients, which results in complex large‐scale patterns.
Catalina A. Musrri +6 more
wiley +1 more source
A Cox Rate-and-State Model for Monitoring Seismic Hazard in the Groningen Gas Field. [PDF]
Baki Z, van Lieshout MNM.
europepmc +1 more source

