.... The methodology proves robust and reliable, with a prediction error lower than 2%, for the availability associated with the next future data trend. 27 04 2011 27 04 2011 16 12 2011 16 12 2011 gas turbines Monte Carlo methods reliability sensitivity analysis statistical analysis...

... dosimeters Monte Carlo methods neutron dose-equivalent moderator MCNP energy response For the fluence to ambient dose-equivalent conversion coefficient fluctuation heavy with energy, the energy response of neutron ambient dosimeters with single moderator and single counter at present...

... temperature W mass flow rate x Weibull random variable α scale parameter β shape parameter μ mean σ standard deviation   3 engine station number for combustor inlet gas turbines Monte Carlo methods natural gas technology...

... than the Monte Carlo approach in terms of efficiency and accuracy, and the proposed method costs much less than the Monte Carlo methods. In addition, the proposed method can also be demonstrated to predict the trends of mistuning sensitivity. The authors would like to express their sincere thanks...

... the efficiency is the probability estimate. This is because the relative error in importance sampling method does not depend on p ′ while that in a DMC simulation is inversely proportional to p ′ . blades conjugate gradient methods curve fitting gas turbines Monte Carlo methods...

... 03 2010 24 03 2010 aircraft gas turbines jet engines Monte Carlo methods thermodynamics environment economics innovative turbofans multidisciplinary design optimization Aviation forms a vital part of the transportation system required for today’s globalized economy...

... configurations. 29 11 2008 07 12 2008 11 06 2009 energy conservation fission reactors hydrogen production Monte Carlo methods This paper is focused on feasible autonomous control strategies for Generation IV very high temperature reactors (VHTRs)-based systems for hydrogen...

... the effectiveness of the presented method in improving the robustness of the control systems for gas turbines. 28 01 2008 11 05 2008 04 06 2009 gas turbines genetic algorithms Monte Carlo methods gas turbine probabilistic robustness Monte Carlo experiment genetic algorithm...

... the real RPV conditions. annealing brittle fracture fission reactors fracture toughness Monte Carlo methods nuclear power stations pressure vessels welds 2009 American Society of Mechanical Engineers ...

..., a regression analysis (here, power regression) was conducted with a best fitting curve in the form of Eq. 12 . 12 y = a + b t C 24 05 2007 29 05 2007 29 04 2008 aerospace engines maintenance engineering Monte Carlo methods probability turbomachinery...

... No. 2002-GT-30623. Manuscript received by IGTI, Dec. 2001, final revision, Mar. 2002. Associate Editor: E. Benvenuti. 03 June 2002 01 Dec 2001 01 Mar 2002 02 03 2004 aerospace engines aircraft genetic algorithms Monte Carlo methods risk analysis gas turbines Weibull...

... to this spray equation is obtained by means of a Monte Carlo method. The Lagrangian equations for trajectory, velocity, size, and temperature are solved. The droplet dispersion in a turbulent flow is calculated according to the Gaussian distribution ( 6 ). The thermochemistry is described in terms...