When fitting complex models, such as finite element or discrete event simulations, the experiment design should exhibit good properties of both projectivity and orthogonality. To reduce experimental effort, sequential design strategies allow experimenters to collect data only until some measure of prediction precision is reached. In this article, we present a batch sequential experiment design ...

This paper proposes a methodology framework for the reliability assessment of smart steel Moment Resisting Frame structures (MRFs) equipped with Nickle Titanium Shape Memory Alloy (NiTi SMA) connections subjected to blast loading. The is formulated based on two-step approach algorithm. In 1st Step, Monte Carlo Latin Hypercube Sampling Strategy simulation (MC-LHS) adapted generate uncertain para...

When a permanent magnet synchronous motor (PMSM) is designed according to the traditional design theory, performance of often challenging achieve desired goal, and further optimization parameters usually required. However, strongly coupled, non-linear, multivariate complex system, it challenge optimize by methods. It needs rely on reliable surrogate models algorithms improve PMSM, which one pro...

Process variation is a major concern in the semiconductor industry today. Probabilistic statistical static timing analysis (SSTA), where random variables are used to represent arrival times, has been proposed as a method to address this challenge. However, there are a number of modeling and accuracy difficulties associated with probabilistic SSTA analysis and optimization methods, such as how t...

Abstract Project management in construction industry, in many cases, is imperfect with respect to the integration of Occupational Health and Safety (OHS) risks. This imperfection exhibits itself as complications affecting the riskiness of industrial procedures and is illustrated usually by poor awareness of OHS within project teams. Difficulties on OHS regularly came about in the construction i...

We consider a mathematical model comprising of four coupled ordinary differential equations (ODEs) for studying the hepatitis C (HCV) viral dynamics. The model embodies the efficacies of a combination therapy of interferon and ribavirin. A condition for the stability of the uninfected and the infected steady states is presented. A large number of sample points for the model parameters (which we...

Metamodels have been widely used in engineering design to facilitate analysis and optimization of complex systems that involve computationally expensive simulation programs. The accuracy of metamodels is directly related to the experimental designs used. Optimal Latin hypercube designs are frequently used and have been shown to have good space-filling and projective properties. However, the hig...

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introduction: the greatest part of constructed dams belongs to embankment dams and there are many examples of their failures throughout history. about one-third of the world’s dam failures have been caused by flood overtopping, which indicates that flood overtopping is an important factor affecting reservoir projects’ safety. moreover, because of a poor understanding of the randomness of floods...