Sentence examples for foundations to predict from inspiring English sources

This approach may be used as an approximate approach in the design of pile foundations to predict potential magnitude of pile bearing capacity in marine sensitive clays.

These details combined with previously reported theory and experiments on the droplet size distributions provide the necessary foundation to predict cluster production rates and to customize nozzle/pump designs for specific applications.

This model may provide the foundation to predict the nature of corticocortical processing and its disruption in psychiatric and neurologic diseases, where neuropathology affects specific types of neurons and layers.

The objective of this paper is to provide a theoretical foundation to predict many aspects of dynamic behavior of flywheel systems when spin-tested with a quill shaft support and driven by an air turbine.

Cumulatively, our study purports that moving away from describing relatively well-known patterns behind recovery, and focusing upon understanding causes, improves our foundation to predict future ecological dynamics, and thus improves coral reef management.

There is precedence from other parts of the world that the current wealth of climate data and models of future climate conditions can be used as a foundation to predict future transmission patterns.

Overall, these findings reveal the complexity of gene expression changes during liver development and maturation, and provide a foundation to predict responses to chemical and drug exposure as a function of early life-stages.

A Statistical Energy Analysis (SEA) model of a journal bearing on an I-beam foundation is developed to predict the response of the components of the journal bearing.

A comparison is made between the numerical and analytical results and they are also compared with the experimental results to validate the numerical modelling and analytical approaches and, in the new light of the Performance-Based-Design, evaluate their ability to predict foundation displacements (SLE) and bearing capacity (SLU).

The identified candidate genes could provide a foundation to robustly predict SSAKI.

This may further lay the foundation for future diagnostic pipelines to predict unknown outcomes of active site nsSNVs in these and other enzymes.