A 3D simulation framework based on body-controller coevolution of virtual creatures for investigating the origin of acoustic interactions

2020 ◽  
Vol 25 (3) ◽  
pp. 419-426
Author(s):  
Ryohei Seki ◽  
Yoshiyuki Omomo ◽  
Naoaki Chiba ◽  
Reiji Suzuki ◽  
Takaya Arita
2019 ◽  
Vol 3 (1) ◽  
Author(s):  
Mohammad Sadegh Rouhi 1 ◽  
Maciej Wysocki 2

In the present paper we are trying to establish a 3D simulation framework for Resin Transfer Molding for a laminated preform using the already developed porous media theory for composite materials process simulation purposes. The aim here is to implement the process phenomena, such as coupling of sub-processes that are happening simultaneously, in a full 3D description of the problem. For this purpose, an 8-node solid shell element is employed to be able to handle complex 3D stress-strain states. The development is exemplified considering RTM process where the main focus of the modeling will be on the flow advancement into fiber preform and flow front capturing. To this end, the theory of two-phase porous media is used along with assuming hyper-elastic material response for the fiber bed to formulate the problem. A finite element formulation and implementation of the two-phase problem is developed, and the results are presented accordingly. 


2014 ◽  
Vol 1014 ◽  
pp. 497-500
Author(s):  
Gang Chen ◽  
Fei Yang Yang

The general design of virtual maintenance platform based on 3D simulation is given to solve the difficulty of maintenance training for large equipment. Firstly, primary functions of platform are defined by comparing common platform with application system. Secondly, component structure and interaction structure of platform are designed based on common thinking of subsystem-serverice. Finally, technology systems of platform including common simulation framework and training basing on 3D simulation are also presented to realize simulation software. It will provide beneficial reference for maintenance training simulation of other similar large weapon equipment.


Author(s):  
Bruno Silva de Lima ◽  
Rafael Silva de Lima ◽  
Francisco Souza
Keyword(s):  

2019 ◽  
Author(s):  
Waldemar Kaiser ◽  
Nga Phung ◽  
Antonio Abate ◽  
Alessio Gagliardi

2006 ◽  
Author(s):  
Richard Reading ◽  
Ronald Sawyer ◽  
Jan Wind

Author(s):  
David McCallen ◽  
Houjun Tang ◽  
Suiwen Wu ◽  
Eric Eckert ◽  
Junfei Huang ◽  
...  

Accurate understanding and quantification of the risk to critical infrastructure posed by future large earthquakes continues to be a very challenging problem. Earthquake phenomena are quite complex and traditional approaches to predicting ground motions for future earthquake events have historically been empirically based whereby measured ground motion data from historical earthquakes are homogenized into a common data set and the ground motions for future postulated earthquakes are probabilistically derived based on the historical observations. This procedure has recognized significant limitations, principally due to the fact that earthquake ground motions tend to be dictated by the particular earthquake fault rupture and geologic conditions at a given site and are thus very site-specific. Historical earthquakes recorded at different locations are often only marginally representative. There has been strong and increasing interest in utilizing large-scale, physics-based regional simulations to advance the ability to accurately predict ground motions and associated infrastructure response. However, the computational requirements for simulations at frequencies of engineering interest have proven a major barrier to employing regional scale simulations. In a U.S. Department of Energy Exascale Computing Initiative project, the EQSIM application development is underway to create a framework for fault-to-structure simulations. This framework is being prepared to exploit emerging exascale platforms in order to overcome computational limitations. This article presents the essential methodology and computational workflow employed in EQSIM to couple regional-scale geophysics models with local soil-structure models to achieve a fully integrated, complete fault-to-structure simulation framework. The computational workflow, accuracy and performance of the coupling methodology are illustrated through example fault-to-structure simulations.


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