In the early stage of vehicle development, it is required to implement a target cascading study by solving inverse problems. However, simulation costs dynamics predict transient responses and frequency make difficult. The purpose this paper propose method construct surrogate model which can waveform solution Bayesian optimization using posterior distribution trained responses. Replacement expen...

Dynamic pricing is frequently used in online marketplaces, ticket sales, and booking systems. The commercial principles of dynamic systems are often kept secret; however, their application causes complex changes human behavior. Thus, a scientific tool needed to evaluate predict the impact strategies. Publications field lack common quality evaluation methodology, public data, source code, making...

Artificial neural networks can be used for creating surrogate models that replace computationally expensive simulations. In this paper, a model was created subset of the Compact Linear Collider (CLIC) final-focus system. By training on simulation data, we maps sextupole offsets to luminosity and beam sizes, thus replacing intensive tracking beam-beam This then optimizing parameters random walk ...

Abstract In this contribution, a concept is presented that combines different simulation paradigms during the engineering phase. These methods are transferred into operation phase by use of data-based surrogates. As an virtual production scenario, process combination thermoforming continuous fiber-reinforced thermoplastic sheets and injection overmolding polymers investigated. Since very sensit...

Aerodynamic optimization based on computational fluid dynamics (CFD) is a powerful design approach because it significantly reduces the time compared with human manual design. However, CFD-based can still take hours to converge requires repeatedly running computationally expensive flow simulations. To further shorten time, we propose fast, interactive framework that allows us complete an airfoi...

Due to the scale and computational complexity of currently used simulation codes, global surrogate (metamodels) models have become indispensable tools for exploring and understanding the design space. Due to their compact formulation they are cheap to evaluate and thus readily facilitate visualization, design space exploration, rapid prototyping, and sensitivity analysis. They can also be used ...

Surrogate Modeling of Computer Experiments With Different Mesh Densities Rui Tuo, C. F. Jeff Wu & Dan Yu a Academy of Mathematics and Systems Science, Chinese Academy of Sciences, 100190 Beijing, P.R. China () b School of Industrial and Systems Engineering, Georgia Institute of Technology, Atlanta 30332, GA () c Academy of Mathematics and Systems Science, Chinese Academy of Sciences, 100190 Bei...

A new method for enhanced surrogate modeling of complex systems by exploiting gradient information is presented. The technique combines the proper orthogonal decomposition (POD) and interpolation methods capable of fitting both sampled input values and sampled derivative information like Kriging (aka spatial Gaussian processes). In contrast to existing POD-based interpolation approaches, the gr...