A Gaussian model of expert opinions for supporting design decisions

The focus of this paper is on development of a novel method for decision making process. Decisions play a major role at all stages of the design process. Here we propose to use a new decision making tool for the design process. This method helps designer

Generic form of Bayesian Monte Carlo for models with partial monotonicity

This paper presents a generic method for the safety assessments of models with partial monotonicity. For this purpose, a Bayesian interpolation method is developed and implemented in the Monte Carlo process. integrated approach is the generalization of the recently developed techniques used in safety assessment of monotonic models and it substantially increases the efficiency of Monte Carlo method. The formulation of this development is provided in this paper with an example showing its ability to dramatically improve efficiency of simulation. This is achieved by employing prior information obtained from monotonic models and outcomes of the preceding simulations. The theory and numerical algorithms of this method for multi-dimensional problems and their integration with the probabilistic finite element model of a real-world example are presente

Mineralogical, microstructural and thermal characterization of coal fly ash produced from Kazakhstani power plants

Coal fly ash (CFA) is a waste by-product of coal combustion. Kazakhstan has vast coal deposits and is major consumer of coal and hence produces huge amounts of CFA annually. The government aims to recycle and effectively utilize this waste by-product. Thus, a detailed study of the physical and chemical properties of material is required as the data available in literature is either outdated or not applicable for recently produced CFA samples. The full mineralogical, microstructural and thermal characterization of three types of coal fly ash (CFA) produced in two large Kazakhstani power plants is reported in this work. The properties of CFAs were compared between samples as well as with published values

Dynamical Simulation and Calculation of the Load Factor of Spur Gears with Indexing Errors and Profile Modifications for Optimal Gear Design

The exact geometry of tooth meshing is incorporated into a dynamical non-linear model of the considered gear system, in consideration of the effect of pitch errors, tooth separation, DOF-coupling, and profile modifications. Various possible combinations of error distributions and profile corrections are applied to the gear model, which is simulated dynamically to calculate the load factor