Sentence examples for governing variables and from inspiring English sources

First, with the aim to define confinement effects on RAC, the mechanical behaviors of RAC under triaxial compression is discussed, highlighting the governing variables and their influence on the mechanical response.

Such learning may then lead to an alteration in the governing variables and a structural change or a shift in the way in which strategies are framed.

Similarly, while single-loop learning describes the detection of an error and correction without questioning the underlying values of the system, double-loop learning occurs 'when mismatches are corrected by first examining and altering the governing variables and then the actions' (Argyris 1999: 68).

Single-loop learning occurs when people search for another strategy to address the error and work with, or within, the governing variables, so that extant goals, values, plans and rule are operationalized rather than questioned.

In contrast, double-loop learning leads to questioning of the governing variables themselves, such that governing variables may be altered and a shift in strategies and consequences occurs.

The uncertainties of governing variables, such as the physical properties of soil, cast iron, water pressure and corrosion patterns, in pipe failure risk assessment are considered.

Solutions in closed form are presented for governing variables including reaction front velocity whereby previously published results appear as special cases.

Focusing on the likelihood of failure to assist risk assessment, this paper examines the performance of large-diameter cast iron pipes using probabilistic analysis, incorporating uncertainties of governing variables.

The governing variables for the bearing strength of a large-scale steel tie rod (of diameter usually larger than 60 mm) include the mechanical strength of the tie rod body, geometric configuration of the thread teeth and the number of turns of thread engagement.

Double-loop learning refers to a revisiting of assumptions cause-effect relassumptions cause-effectample frelationshipsomare—and to questioningoodexamplening variables themselves by means ofromcritheal reexamination.

To avoid the pressure odd even decoupling that is typically encountered in such grids, a flux interpolation technique is introduced for the equations governing variable density flows.