This paper discusses the applicability of the tension-softening model in the determination of the fracture toughness of rocks,
where the fracture toughness evaluated based on the tension-softening model is compared with the crack growth resistance deduced
from laboratory-scale hydraulic fracturing tests. It is generally accepted that the fracture process is dominated by the growth
of a fracture process zone for most types of rocks. In this study, the J-integral based technique is employed to determine the fracture toughness of Iidate granite on the basis of the tension-softening
model, where compact tension specimens of different dimensions were tested in order to examine the specimen size effect on
the measured fracture toughness. It was shown that the tension-softening relation deduced from the J-integral based technique allowed us to determine the specimen size independent fracture toughness Kc of Iidate granite. Laboratory-scale hydraulic fracturing tests were performed on cubic specimens (up to a 10 m sized specimen),
where cyclic pressurization was conducted using a rubber-made straddle packer to observe the extent of the hydraulically induced
crack. The experimental results of pressure and crack length were then used to construct the crack growth resistance curve
based on the stress intensity factor K. The crack growth resistance obtained from the hydraulic fracturing tests was observed to initially increase and then level
off, giving a constant K value for a long crack extension stage. The plateau K value in the crack growth resistance curve was found to be in reasonable agreement with the fracture toughness Kc deduced from the tension-softening relation. It was demonstrated that the tension-softening model provides a useful tool
to determine the appropriate fracture toughness of rocks, which may be applicable for the analysis of the process of large-scale
crack extension in rock masses. 相似文献
Modern forms of drilling and extraction have recently led to a boom in oil and gas production in the U.S. and stimulated a controversy around its economic benefits and environmental and human health impacts. Using an environmental justice paradigm this study applies Geographic Information Systems (GIS) and spatial analysis to determine whether certain vulnerable human populations are unequally exposed to pollution from unconventional gas wells in Pennsylvania, West Virginia, and Ohio. Several GIS-based approaches were used to identify exposed areas, and a t-test was used to find statistically significant differences between rural populations living close to wells and rural populations living farther away. Sociodemographic indicators include age (children and the elderly), poverty level, education level, and race at the census tract level. Local Indicators of Spatial Autocorrelation (LISA) technique was applied to find spatial clusters where both high well density and high proportions of vulnerable populations occur. The results demonstrate that the environmental injustice occurs in areas with unconventional wells in Pennsylvania with respect to the poor population. There are also localized clusters of vulnerable populations in exposed areas in all three states: Pennsylvania (for poverty and elderly population), West Virginia (for poverty, elderly population, and education level) and Ohio (for children). 相似文献