Recent developments in the field of high speed rail have heightened the need for improving of railway bridges under the passage of high speed trains. However, little attention has been paid to influence of significant parameters playing a key role in dynamic behavior of such bridges. This paper...

The presence of crack changes the physical characteristics of a structure which in turn alter its dynamic response characteristics. So it is important to understand dynamics of cracked structures. Crack depth and location are the main parameters influencing the vibration characteristics of the...

Previous research has demonstrated that Bayesian reasoning performance is improved if uncertainty information is presented as natural frequencies rather than single-event probabilities. A questionnaire study of 342 college students replicated this effect but also found that the...

Intrusion of seawater into coastal aquifers is considered one of the most important processes that degrade water-quality by raising the salinity to levels exceeding acceptable drinking standards. Therefore saltwater intrusion should be prevented or at least controlled to protect groundwater...

Since 1970 several aerodynamic prediction models have been formulated for the Darrieus turbine. We can identify two families of models: stream-tube and vortex. The former needs much less computation time but the latter is more accurate. The purpose of this paper is to show a new option for...

Simple correlation based models used extensively for the prediction of the performance of solar energy systems have little spatial accuracy and do not generally allow detailed investigation into modifications in system design. The recent development of powerful low cost computers has allowed the...

To enable accurate predictions of the thermo-physical performance of line-axis concentrating solar energy collectors to be made, a unified approach that allows detailed consideration of both the thermal and optical behaviour in such systems was developed. Employing ray-trace techniques, the...

We develop a method for estimating the functional surface of a regression coefficient that varies over a complex spatial domain with irregular boundaries, peninsulas and interior holes. The method is motivated by, and applied to, data on housing markets, where the central object of inference is...

We present an approximation method of surfaces preserving the monotonicity constraints. By minimizing a semi-norm and monotonicity criteria we define the notion of the pseudo-monotone interpolating variational spline in a finite element space. We compute this spline by using a suitable...