GRID technology for structural analysis

Alonso, Jesús José Beltrán de Heredia; Alfonso, Carlos; García, G Pedro; Hernández, Vicente

doi:10.1016/j.advengsoft.2006.08.029

Cited by 8 publications

(4 citation statements)

References 25 publications

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“…Lam et al (2002Lam et al ( , 2004 presented an Internet-based environment for distributed collaborative performance-based building design and evaluation. Alonso et al (2007) developed a Grid computing application for the 3D dynamic analysis of large dimension buildings. Performing distributed executions has enabled a considerable reduction in the global execution time of structural studies.…”

Section: Related Researchmentioning

confidence: 99%

An Internet-based computing framework for the simulation of multi-scale response of structural systems

Chen¹,

Lin²

2011

Structural Engineering and Mechanics

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This paper presents a new Internet-based computational framework for the realistic simulation of multi-scale response of structural systems. Two levels of parallel processing are involved in this framework: multiple local distributed computing environments connected by the Internet to form a clusterto-cluster distributed computing environment. To utilize such a computing environment for a realistic simulation, the simulation task of a structural system has been separated into a simulation of a simplified global model in association with several detailed component models using various scales. These related multi-scale simulation tasks are distributed amongst clusters and connected to form a multi-level hierarchy. The Internet is used to coordinate geographically distributed simulation tasks. This paper also presents the development of a software framework that can support the multi-level hierarchical simulation approach, in a cluster-to-cluster distributed computing environment. The architectural design of the program also allows the integration of several multi-scale models to be clients and servers under a single platform. Such integration can combine geographically distributed computing resources to produce realistic simulations of structural systems.

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Section: Related Researchmentioning

confidence: 99%

An Internet-based computing framework for the simulation of multi-scale response of structural systems

Chen¹,

Lin²

2011

Structural Engineering and Mechanics

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“…(Sotelino 2003)) and it is expected that computational mechanicians will stay abreast of the developments in distributed computing (see e.g. (Alonso, de Alfonso, García and Hernández 2007)). In the past, particular emphasis has been given to domain decomposition and sub-structuring (see e.g.…”

Section: Background and Existing Literaturementioning

confidence: 99%

Parallel processing in structural reliability

Pellissetti¹

2009

Structural Engineering and Mechanics

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The reliability analysis of structures, based on numerical models, involves computational efforts that are orders of magnitude higher than that of a single deterministic analysis of the model. This observation holds irrespectively of the analysis method used to quantify the reliability. Consequently, the applicability of reliability analysis to large-scale problems is frequently infeasible if the analysis is performed in a traditional, sequential fashion. High-performance computing, in particular the parallel execution of parts of the overall analysis task, can be used to turn the reliability analysis of industrial applications into a feasible task.The present contribution addresses the parallelization of advanced simulation methods for structural reliability analysis, which have recently been developed for large-scale structures with a high number of uncertain parameters. It is shown that for the Line Sampling method and the Subset Simulation method an essentially linear speedup can be achieved, for a moderate number of processors. In the presence of large numbers of processors, additional speedup is gained for Subset Simulation by using speculative computing -in the present application an additional speedup factor of three is shown to be feasible.

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“…Marante et al (2005) implemented Portal of Damage as a program for numerical simulation of reinforced concrete framed structures under earthquakes. An attempt has been made by Network for Earthquake Engineering Simulation Consortium (NEES) to reduce the impact of earthquake and tsunami disasters in the human infrastructures by linking research laboratories around the US (Alonso et al 2007). Bittencourt et al (2008) presented a web application service provider for finite element analysis with services for mesh generation.…”

Section: Introductionmentioning

confidence: 99%

A Web-Based Architecture for Interactive Finite Element Program

Hejazi

Shahpasand

Mirnezhad

et al. 2014

Computing in Civil and Building Engineering (2014)

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In the recent decade, using of Personal Digital Assistants (PDAs) and smart phones had incredible growth and they can be used as a small computer in business, communication and education. Most of current civil engineering software are created for desktop computers in specific operating system and platforms without any portability and flexibility feature. This paper proposed a web-based architecture for an interactive Finite Element (FE) program. The architecture supports linear and nonlinear analysis of reinforce concrete buildings subjected to static and dynamic loading. Structure modeling is performed on the client-side via any internet browser. Data is send to the server and analyzed by FE program which has been installed on the server. Then, the result of analysis which is response of structure under imposed load is send back to the client-side to show and plot output of analysis. The developed software which is named Analysis of Reinforced Concrete Structure (ARCS) implemented in secure and user friendly interface. Running software in offline mode is possible for modeling but internet connection is needed to transfer input data to the server and transfer output of analysis from server to the client-side. The most important advantage of proposed model is operating system and platform independency. Backup capability of all data and authority access control are other features of ARCS. Therefore the developed software is able to use extensively by engineers to carry out modeling and analysis of structures by any PDAs or smart phones through any operating systems and platforms.

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GRID technology for structural analysis

Cited by 8 publications

References 25 publications

An Internet-based computing framework for the simulation of multi-scale response of structural systems

An Internet-based computing framework for the simulation of multi-scale response of structural systems

Parallel processing in structural reliability

A Web-Based Architecture for Interactive Finite Element Program

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