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BMD measurements obtained from DXA is the current gold standard used to predict risk; however, we hypothesize that DXA predictions of fracture risk due to Pb exposure might underestimate actual fracture risk.
Predicted fracture patterns closely matched the in vitro patterns; however, predictions of fracture load differed by approximately 50% due to sensitivity to local material properties.
Even though LEFM can predict hard rock hydraulic fracturing processes reasonably, but often fails to give accurate predictions of fracture geometry and propagation pressure in ductile rocks, such as poorly consolidated/unconsolidated sands and clay-rich ductile shales, even in the form of simple planar geometry.
The procedure can help improve predictions of fracture risk, clarify the pathophysiology of skeletal diseases, and monitor the response to therapy.
In general, the singular-field approach based on 2D elasticity and the finite element method gives poor predictions of fracture toughness.
Therefore, predictions of fracture risk using FRAX® may be improved by considering the chronicity and dosage of GC therapy.
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The prediction of fracture behaviour is quite essential for safe designing of such critical components.
Thus, the influence of anisotropy cannot be ignored in the prediction of fracture pressure.
The results can be referred to prediction of fracture propagation and design of radial well completion or fracturing.
Accurate prediction of fracture initiation and breakdown pressure is vital for successful design of Hydraulic Fracturing operation.
Correct identification and assessment of the weakest parts of the cancellous bone may lead to better prediction of fracture risk.
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