Advances in Engineering Research. Volume 33

Advances in Engineering Research. Volume 33 opens by describing a general strategy for building Markov chain models and performing a computational analysis of characteristics of the process, as well providing a few examples of the applications of this approach. Adaptive differential evolution algorithms are compared with the conventional genetic algorithm in the optimization and identification of the parameters of power electronics systems and electric drives. The authors investigate the impact of a particular flow parameter on mixed flow turbine loss generation and performance, aiming to determine the optimum condition of the turbine operation with respect to the Reynolds number. The effect of the rotor trailing-edge blade angle on mixed flow turbine performance under steady flow conditions is examined. For this end, six mixed flow rotors having different trailing-edge blade angles are numerically designed. Computational fluid dynamics simulations are carried out using the Ansys CFX package. Lastly, a preliminary evaluation and analysis of the structural condition of the Old Church of Saint Andrew is examined. The current study is beset with a multitude of difficulties due to insufficient of technical data. For this reason, an in situ detailed drawing survey is conducted, and the mechanical characteristics of the structure are determined.