Shigeru Obayashi^*, Aiko Yakeno

The International Conference on Computational & Experimental Engineering and Sciences, Vol.21, No.4, pp. 71-71, 2019, DOI:10.32604/icces.2019.05229

Abstract In our laboratory, we have been conducting research focusing on a data-driven approach to fluid engineering for design. Designing aerospace machines, these days requires more advanced factors. The recent development of supercomputer leads that we must treat more complex flow phenomena that brings uncertainty, with the more advanced design considered. Such as a reduced-order model and a data assimilation method, to estimate and reduce the uncertainty in numerical simulations, are potential ways to assist the advanced design. That is by use of experimental or observational data and numerical analysis of physical equations. Recently, we are… More >

Igor Vušanović^1,*, Vaughan R Voller²

The International Conference on Computational & Experimental Engineering and Sciences, Vol.21, No.4, pp. 70-70, 2019, DOI:10.32604/icces.2019.05185

Abstract In the modeling of liquid to solid phase change processes the movement of the solid phase (e.g., the grains that form when solidifying an alloy) can have a significant impact on the timing and pattern of the process. While a number of solidification models account for the movement of the solid phase, additional analysis is needed to fully understand the phenomena and guide in the selection of appropriate numerical technologies for its resolution. Towards this end, here, we introduce a reduced complexity model (RCM) to describe the solidification of an initially liquid binary material flowing… More >

Vaughan R. Voller

The International Conference on Computational & Experimental Engineering and Sciences, Vol.21, No.4, pp. 69-69, 2019, DOI:10.32604/icces.2019.05082

Abstract There has been current interest in studying diffusion processes that involve memory and non-locality. These phenomena can be modeled using fractional calculus tools. A fractional derivative in time, a convolution of previous states of the system, modeling memory and a fractional derivative in space, a convolution over aspace domain, modeling non-locality. In this work we consider how such treatments can be incorporated into models of phase change systems. In particular, we examine the consequences of replacing the time and space derivative in the classic one-phase Stefan melting problem with appropriate fractional derivatives. A number of More >

Wei Huang^1,*, Zhi Zhou²

The International Conference on Computational & Experimental Engineering and Sciences, Vol.21, No.4, pp. 68-68, 2019, DOI:10.32604/icces.2019.05066

Abstract Structural members of different materials in hybrid structures have different damage performances. Based on the classical Park-Ang damage model, a consistent modification of that model is proposed for structural members of different materials in order to determine the behavior and the damage process from member-level to structure-level. Furthermore, the specific limit values of this damage model at various performance levels are calculated. Obvious differences have been found between the limit values of different types of members. In order to unify the damage limits that correspond to predefined performance levels such that a comparison between different More >

Hideaki Uchida^*, Hideki Fujii, Shinobu Yoshimura

The International Conference on Computational & Experimental Engineering and Sciences, Vol.21, No.3, pp. 67-67, 2019, DOI:10.32604/icces.2019.05902

Abstract In recent years, EVs (Electric Vehicles) with high environmental performance has been popularized. To realize a low-carbon and sustainable society, EVs are expected to play major roles, and it is essential to use renewable energy for their charging effectively. Interactions between the transportation network and the electric power system have not been considered so far. However, the interactions are supposed to occur via EVs, which will popularize in the near future. Most of the previous studies about EVs’ popularization focused on either the transportation or the electric power system, and no sufficient simulation model has… More >

D. Ishihara

The International Conference on Computational & Experimental Engineering and Sciences, Vol.21, No.3, pp. 66-66, 2019, DOI:10.32604/icces.2019.05888

Abstract This study shows that some of important characteristic motions in insect flapping wings can be created by the fluid-structure interaction. A lumped flexibility model is used to describe the flexibilities in insect’s wings. A three-dimensional finite element method for the fluid-structure interaction analyzes the behaviors of the model wing, the surrounding fluid, and their interaction, where the dynamic similarity law for the fluid-structure interaction is used to incorporate actual insect data. This finite element method uses the projection and parallel computation algorithms, which perform the systematic parametric study efficiently. The elastic recoil and the modes… More >

Naoto Mitsume^*, Tomonori Yamada, Shinobu Yoshimura

The International Conference on Computational & Experimental Engineering and Sciences, Vol.21, No.3, pp. 65-65, 2019, DOI:10.32604/icces.2019.05538

Abstract Research and development with regard to advanced coal-fired power plants to reduce CO2 emission have been conducted. Coal gasification is one of the key technologies. In reactor for the coal gasification, coal is crushed into fine particulate matter and then partially burned into gas in a high-pressure environment in the reactor. Our research group has carried out a project to tackle a coupled problem of thermo-fluid-structure interaction for quantification of its efficiency, environmental load, and structural integrity. As one of key components of the project, we present a large-scale parallel simulation of three-dimensional (3D) thermal… More >

Hiroshi Kawai¹, Shinichiro Sugimoto², Amane Takei³

The International Conference on Computational & Experimental Engineering and Sciences, Vol.21, No.3, pp. 64-64, 2019, DOI:10.32604/icces.2019.05530

Abstract In any ancient society whose economy is mainly driven by agriculture, the production of foods, such as wheat, potato and rice is an essential factor in defining its economics as well as demographics. We are now trying to simulate the demographics and economics of the Japanese ancient agricultural society during 0-1850 A.D., from the primitive era (Yayoi) to the last part of Edo era, when the general was still governing this country. At that time, the society depended heavily on the rice production along river areas. The multi-agent and cell automaton simulation is performed over More >

Hideki Fujii^*, Yuta Ushimaru, Tomonori Yamada, Shinobu Yoshimura

The International Conference on Computational & Experimental Engineering and Sciences, Vol.21, No.3, pp. 63-63, 2019, DOI:10.32604/icces.2019.05442

Abstract In order to evaluate transportation policies quantitatively, virtual social experiments using traffic simulators are adequate. In particular, simulators with features of both precision and scalability are preferable for applications to real-world and wide-spread traffic phenomena. In this research, we tried to parallelize a multi-agent-based traffic simulator (ADVENTURE_Mates) and enhance its parallelization performance. In the simulator, a road map is modeled as a graph and cars are modeled as autonomous agents. A car agent acquires information from its circumference (other cars, traffic lights, etc.), makes a decision autonomously, and acts based on the decision. The precision… More >

Kazuki Abe^*, Hideki Fujii, Shinobu Yoshimura

The International Conference on Computational & Experimental Engineering and Sciences, Vol.21, No.3, pp. 62-62, 2019, DOI:10.32604/icces.2019.05393

Abstract Traffic simulations are utilized as support tools to solve traffic-related problems. Scenario analysis is one of the analysis methodologies with simulation. At the first step of scenario analysis, traffic phenomena in the real world should be reproduced in the simulation world as the baseline. Traffic demand, which can be described as a form of the Origin-Destination (OD) matrix, is an important element in the traffic phenomena, which affects directly to the traffic volume or congestion, but it cannot be observed directly. Whereas some OD estimation methods are proposed, most of them require different route-search models… More >