A Rocks Based Visualization Cluster Platform Design and Application for Bridge Health Monitoring

Feng Chen; Ming Liu; Xiao Ying Han; Wei Chen

doi:10.4028/www.scientific.net/AMM.178-181.2213

Paper Titles

Research on the Influence Factors to the Working Performance of PBL Shear Connectors
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Reinforcement Calculated Method Based on Disease Model of DongFu Bridge
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Analysis of Temperature Effect on Cable-Stayed Bridge at Construction Stage Corrected
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Externally Prestressed Steel Box Girder Bridge
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A Rocks Based Visualization Cluster Platform Design and Application for Bridge Health Monitoring
p.2213

Simulation Analysis of Shrinkage and Creep for Bowstring Arch Bridge Steel Tube Concrete in Different Specification
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Response Analysis of Bridge across Seismic Fault Zone
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Seismic Performance of SFRC Piers under Reversed Cyclic Loading
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The Study on Bearing Capacity Influence for the Steel Tube Deformation in CFST Arch Bridge
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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 178-181A Rocks Based Visualization Cluster Platform...

A Rocks Based Visualization Cluster Platform Design and Application for Bridge Health Monitoring

Abstract:

As high performance computing (HPC) becomes a part of the scientific computing landscape, visualizing HPC has become a critical field of its own. This paper describes a visualization cluster solution developed for bridge health monitoring system. First, LCD display, computer with NVIDIA graphic cards, 1G switch and 10G switch are used to build hardware platform; Secondly, Linux operation system, Rocks management software, CGLX middle software is used to display multi-media and 3D data; Finally, OpenSenceGraph 3D graphics engine is used to write high-performance parallel 3D programs. This approach can be used not only for parallel computing, but also for parallel 3D modeling and display. Some application result on bridge health monitoring is given in the end.

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Periodical:

Applied Mechanics and Materials (Volumes 178-181)

Pages:

2213-2218

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.178-181.2213

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Online since:

May 2012

Authors:

Feng Chen, Ming Liu, Xiao Ying Han, Wei Chen

Keywords:

Bridge Health Monitoring, Rocks, Visualization

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