scholarly journals DEVELOPMENT OF THE PARALLEL PROCESSlNG SYSTEM USING A PC CLUSTER FOR DYNAMIC ANALYSIS OF LARGE-SCALE SPACE FRAME STRUCTURES : Part 1 On effect of the parallel processing method using the improved iteration technique

2001 ◽  
Vol 66 (542) ◽  
pp. 115-122 ◽  
Author(s):  
Masaru MURATA ◽  
Ryoichi SHIBATA ◽  
Kousei SHINTAI ◽  
Hiroyuki MOCHIZUKI
Keyword(s):  
Parallel Processing ◽  
Dynamic Analysis ◽  
Large Scale ◽  
Scale Space ◽  
Processing Method ◽  
Frame Structures ◽  
Space Frame ◽  
Pc Cluster ◽  
Iteration Technique

Nonlinear Dynamic Analysis of Space Frame Structures by Discrete Element Method

2014 ◽  
Vol 638-640 ◽  
pp. 1716-1719 ◽  
Author(s):  
Nian Qi ◽  
Ji Hong Ye
Keyword(s):  
Discrete Element Method ◽  
Dynamic Analysis ◽  
Nonlinear Dynamic ◽  
Nonlinear Dynamic Analysis ◽  
Discrete Element ◽  
Internal Force ◽  
Frame Structures ◽  
Space Frame ◽  
Bond Model ◽  
Element Method

This document explores the possibility of the discrete element method (DEM) being applied in nonlinear dynamic analysis of space frame structures. The method models the analyzed object to be composed by finite particles and the Newton’s second law is applied to describe each particle’s motion. The parallel-bond model is adopted during the calculation of internal force and moment arising from the deformation. The procedure of analysis is vastly simple, accurate and versatile. Numerical examples are given to demonstrate the accuracy and applicability of this method in handling the large deflection and dynamic behaviour of space frame structures. Besides, the method does not need to form stiffness matrix or iterations, so it is more advantageous than traditional nonlinear finite element method.

Dynamic and fatigue performances of a large-scale space frame assembled using pultruded GFRP composites

2016 ◽  
Vol 138 ◽  
pp. 227-236 ◽  
Author(s):  
Xiao Yang ◽  
Yu Bai ◽  
Fu Jia Luo ◽  
Xiao-Ling Zhao ◽  
Faxing Ding
Keyword(s):  
Large Scale ◽  
Scale Space ◽  
Gfrp Composites ◽  
Space Frame

scholarly journals Parallel Processing Method for Airborne Laser Scanning Data Using a PC Cluster and a Virtual Grid

Sensors ◽  
2009 ◽  
Vol 9 (4) ◽  
pp. 2555-2573 ◽  
Author(s):  
Soo Hee Han ◽  
Joon Heo ◽  
Hong Gyoo Sohn ◽  
Kiyun Yu
Keyword(s):  
Parallel Processing ◽  
Laser Scanning ◽  
Processing Method ◽  
Airborne Laser Scanning ◽  
Pc Cluster ◽  
Airborne Laser ◽  
Virtual Grid

Simulation of Shock Response in a Lab-Scale Space Frame Structure Using Finite Element Analysis

2011 ◽  
Author(s):  
Jagadeep Thota ◽  
Mohamed B. Trabia ◽  
Brendan J. O’Toole
Keyword(s):  
Finite Element ◽  
Impact Loading ◽  
Scale Space ◽  
Frame Structure ◽  
Frame Structures ◽  
Fe Model ◽  
Space Frame ◽  
Element Analysis ◽  
Acceleration Signals ◽  
Space Frame Structure

Space frames are usually used to enhance the structural strength of a vehicle while reducing its overall weight. Impact loading is a critical factor when assessing the functionality of these frames. In order to properly design the space frame structure, it is important to predict the shocks moving through the members of the space frame. While performance of space frame structures under static loads in well-understood, research on space frame structures subjected to impact loading is minimal. In this research, a lab-scale space frame structure, comprising of hollow square members that are connected together through bolted joints which allow for quick assembly/disassembly of a particular section, is manufactured. Non-destructive impact tests are carried out on this space frame structure and the resulting acceleration signals at various locations are recorded. A finite element (FE) model of the lab-scale structure is created and simulated for the experimental impact loads. Acceleration signals from the FE model are compared with the experimental data. The natural frequencies of the structure are also compared with the results of the FE model. The results show a good match between the model and the experimental setup.

Rationalization of freeform space-frame structures: Reducing variability in the joints

2020 ◽  
Vol 18 (1) ◽  
pp. 84-99
Author(s):  
Antiopi Koronaki ◽  
Paul Shepherd ◽  
Mark Evernden
Keyword(s):  
Large Scale ◽  
Complex Geometry ◽  
Geometry Optimization ◽  
Control Surface ◽  
Frame Structures ◽  
Computationally Efficient ◽  
Space Frame ◽  
Computational Workflow ◽  
Doubly Curved

In recent years, the application of space-frame structures on large-scale freeform designs has significantly increased due to their lightweight configuration and the freedom of design they offer. However, this has introduced a level of complexity into their construction, as doubly curved designs require non-uniform configurations. This article proposes a novel computational workflow that reduces the construction complexity of freeform space-frame structures, by minimizing variability in their joints. Space-frame joints are evaluated according to their geometry and clustered for production in compliance with the tolerance requirements of the selected fabrication process. This provides a direct insight into the level of customization required and the associated construction complexity. A subsequent geometry optimization of the space-frame’s depth minimizes the number of different joint groups required. The variables of the optimization are defined in relation to the structure’s curvature, providing a direct link between the structure’s geometry and the optimization process. Through the application of a control surface, the dimensionality of the design space is drastically reduced, rendering this method applicable to large-scale projects. A case study of an existing structure of complex geometry is presented, and this method achieves a significant reduction in the construction complexity in a robust and computationally efficient way.

Sign in / Sign up

Export Citation Format

Share Document