Sentence examples for failure of approximately from inspiring English sources

The results show that the laminated pressure vessels investigated are able to sustain considerable higher pressures beyond the predicted first-ply failure of approximately three times as much.

Similar behaviour was observed in adhesion, where this same sample revealed a critical load for adhesive failure of approximately 90 N.

Their tensile stiffness ranged from 0.09 to 0.11 N/mm and their maximum tensile force from 0.86 to 1.03 N, with minimum failure strains of approximately 130%.

The tests were conducted at temperatures cycling between 400 °C and 850 °C, with a strain range selected to give a failure life of approximately 1000 cycles, resulting in a stress range of up to ∼1000 MPa.

This is demonstrated most clearly in beam B7, which was loaded up to 70% and reduced to cracking loads of those loads subjected to B2.   (2) Damage levels have an effect on the ultimate capacity of the reinforced concrete deep beam strengthened with AFRP sheet by a decrease in failure load of approximately 11.5%, when the damage level was increased from 50 to 70% of control beam B2.

This deficit appeared inversely correlated with the NHERF1 allele copy number, with failure rates of approximately 50 and 80% for NHERF1 and NHERF1 females, respectively.

Following a recommendation from the TEMPO Steering Committee to increase the frequency of monitoring to monthly, no additional Hy's Law cases have been identified to date (n = 1275 subjects exposed for ≥18 months) (Table  1), further lowering the incidence of potential liver failure to approximately 1 4000.

The rock avalanche initiated as a planar sliding failure with volume of approximately 91 Mm3.

In addition, six military hospitals were reviewed (duration undefined), representing 127,000 admissions and 1295 cases of 'acute respiratory failure', an incidence of approximately 1%.

Male infertility accounts for the failure of conception in approximately 30% of infertile couples [21].

The fold increase in risk is the risk divided by the average risk of failure of the dataset (approximately 12%).