Sentence examples for be conservative in predicting from inspiring English sources

The CSA S806-12 standard was found to be conservative in predicting Vc.

As a result of the investigation, the current design requirements were found to be conservative in predicting the ultimate capacity of built-up studs.

This model is calibrated well with the numerical model presented and both of these models are found to be conservative in predicting the test results.

The current cold-formed steel design standards were found to be conservative in predicting the section moment capacities of compact and non-compact LSB sections, while the hot-rolled steel design standards were able to better predict them.

Both experimental and numerical studies show that the AS/NZS 4600 design rule based on circular interaction equation is conservative in predicting the combined bending and shear capacities of LSBs.

The ACI code may overestimate the ultimate stress in unbonded tendons in continuous beams at a low prestressing reinforcement index while it is conservative in predicting the permissible moment redistribution.

This paper also describes the comparison of the test results with design provisions from Eurocode 4. The test results show a marginal influence of the type of concrete infill on the monotonic and cyclic behaviour of the members and also allow concluding that Eurocode 4 is conservative in predicting the capacity of the tested specimens.

As the survival prediction models do not have a very strong capability of discriminating between actual survival and death cases, and we have to be conservative in selecting a cutoff value for predicted outcomes, this prediction system can only identify a small proportion of patients who would actually decease soon.

17 However, methods that are conservative in some settings may not be conservative in others.

The higher predicted CDR from our model is conservative in that it will result in higher predicted PPV performance measures in Figures 4 and 5. Consequently, we could improve our model with better estimates of risk-adjustable prevalence and sojourn time, as well as baseline total intervention rates.

Our models are conservative in the sense that they invariably predict slow steady trends, typically very difficult to observe over, say, a 9-year period, so this question comes up automatically for just about anything that we see that is big and fast.