Sentence examples for engineering dynamics from inspiring English sources

This paper reports the longitudinal assessment results of an interactive computer simulation and animation (CSA) learning module that was developed for, and implemented in, an engineering dynamics course.

In the same way that the Volterra kernels generalize the impulse response to non-linear systems, the Volterra kernel transforms can be viewed as higher-order analogues of the Frequency Response Functions commonly used in Engineering dynamics; they can be interpreted in much the same way.

These predicted results were found to be frequency-dependent and consistent with the notion in engineering dynamics texts that the closer the loading frequency approaches the resonant frequency, the larger the response is.

The MultiFlex package represents one part of a suite of programs which are being developed by the authors in order to provide entirely symbolic analysis of multi-degree of freedom problems in engineering dynamics.

This paper is devoted to the development of a novel approximate and numerical method for the solutions of linear and non-linear oscillatory systems, which are common in engineering dynamics.

The present study is the first study that develops and compares four types of mathematical models to predict student academic performance in engineering dynamics – a high-enrollment, high-impact, and core course that many engineering undergraduates are required to take.

The Green's functions of a two-phase saturated medium subjected to a concentrated force are known to play an important role in seismology, earthquake engineering, soil dynamics, geophysics, and dynamic foundation theory.

That is mechanics, engineering, fluid dynamics, mathematics; it's difficult, but it's stuff you can't argue with.

Dr. Derek Abbott, director of the Center for Biomedical Engineering at the University of Adelaide in Australia, said that many scientists were intrigued by the paradox and had begun applying it to engineering, population dynamics, financial risk and other disciplines.

But if we first concern ourselves with what this perfected adaptation teaches us about other fields, we enhance our understanding of biology as well as engineering, fluid dynamics and energy efficiency instead of making a self-contained discovery.

Many bandwidth reduction algorithms have been developed since the 1960s and applied to structural engineering, fluid dynamics and network analysis.