Large-scale simulation modeling system for industrial construction

2009 ◽  
Vol 36 (9) ◽  
pp. 1517-1529 ◽  
Author(s):  
Ping Wang ◽  
Simaan M. AbouRizk
Keyword(s):  
Production System ◽  
Simulation Modeling ◽  
Large Scale ◽  
Construction Project ◽  
Simulation Models ◽  
Supply Chain System ◽  
Industrial Construction ◽  
Material Supply ◽  
Large Scale Simulation ◽  
Complex Production System

Industrial construction is a complex production system involving multiple supply chains. Engineers need a tool that enables them to plan and improve the system by testing different theories. This research developed a special modeling system tailored for building large-scale simulation models for industrial construction. The modeling system can be used to model an industrial construction project as a whole supply chain system, covering spool drafting, material supply, spool fabrication, module assembly, and site installation, complete with details of the production level. The entire production system can be conceived in terms of not only activities, but also product flows and information flows by the developed modeling system. The developed model was utilized to execute several simulation experimentations to test the various theories. This testing ultimately facilitates the improvement of the performance of the whole industrial construction project system.

An ontology-driven framework for enhancing reusability of distributed simulation modeling of industrial construction processes

2013 ◽  
Vol 40 (9) ◽  
pp. 917-926 ◽  
Author(s):  
Farzaneh Saba ◽  
Yasser Mohamed
Keyword(s):  
Knowledge Sharing ◽  
Simulation Modeling ◽  
Large Scale ◽  
Distributed Simulation ◽  
World View ◽  
Simulation Models ◽  
Construction Simulation ◽  
Construction Process ◽  
Industrial Construction ◽  
Ontological Modeling

This paper describes an ontology-driven framework for developing distributed simulation modeling of construction processes. The research described in the paper is motivated by the necessity of knowledge sharing between distributed simulation modeling collaborators, and reuse and portability challenges in construction simulation models. Our approach addresses these challenges through ontological modeling and linking of construction simulation modeling components including (i) ontology of construction process, (ii) ontology of simulation world view, and (iii) ontology of distributed simulation modeling application tool. Within the paper, ontology driven approach and mapping of ontologies for information transference between simulation components has been described. Another discussed application of ontologies is structuring of simulation modeling development through use of reusable elements. A large-scale distributed simulation model of industrial construction processes has been outlined to illustrate the application of the approach.

Large-Scale Simulation Models in Population and Development: A Reply

1977 ◽  
Vol 3 (1/2) ◽  
pp. 126
Author(s):  
W. Brian Arthur ◽  
Geoffrey McNicoll
Keyword(s):  
Large Scale ◽  
Simulation Models ◽  
Large Scale Simulation

scholarly journals Multiple rotations of Gaussian quadratures: An efficient method for uncertainty analyses in large-scale simulation models

2021 ◽  
Vol 136 ◽  
pp. 104929
Author(s):  
Davit Stepanyan ◽  
Harald Grethe ◽  
Georg Zimmermann ◽  
Khalid Siddig ◽  
Andre Deppermann ◽  
...  
Keyword(s):  
Efficient Method ◽  
Large Scale ◽  
Simulation Models ◽  
Large Scale Simulation ◽  
Gaussian Quadratures ◽  
Uncertainty Analyses

The Application of Subsection Simpson Integration on Artillery Firing Efficiency Simulation Modeling

2011 ◽  
Vol 130-134 ◽  
pp. 2655-2660
Author(s):  
Zhi Qiang Zhao ◽  
Bo Chuan Jiang
Keyword(s):  
Simulation Modeling ◽  
Large Scale ◽  
Evaluation Model ◽  
Computation Method ◽  
Two Dimensional ◽  
Statistical Experiment ◽  
Large Scale Simulation ◽  
Experiment Method ◽  
Simulation Results ◽  
Firing Efficiency

The evaluation model of artillery firing efficiency is widely applied to firepower command&control and large-scale simulation, itis very important for improving precision and speed of calculation to enhance capability of firepower command&control and large-scale simulation. Two-dimensional subsection Simpson integration was introduced to evaluation the model, the analysis of two-dimensional subsection Simpson integration in theory showed that convergence speed of two-dimensional subsection Simpson integration enhance to O(h4). The simulation results indicate that, speed of two-dimensional subsection Simpson integration is higher 20 times than statistics experiment method, precision of two-dimensional subsection Simpson integration is a little higher than the typical numerical integration such as midpoint formula integration and statistical experiment method, but it can promotes precision by 10% than approximate computation method.

Server-Side Screening and Network Visualization of Huge Simulation Results

2016 ◽  
Vol 713 ◽  
pp. 254-257
Author(s):  
Tomonori Yamada ◽  
Kaworu Yodo ◽  
Yoshitaka Wada ◽  
Shinobu Yoshimura
Keyword(s):  
Large Scale ◽  
Simulation Models ◽  
Network Visualization ◽  
Numerical Example ◽  
Server Side ◽  
Large Scale Simulation ◽  
Computing Technologies ◽  
Simulation Results ◽  
Simulation Algorithms

With the growth of computing technologies including both hardware and simulation algorithms, simulation models have become extremely large in scale. Nowadays the visualization of the huge result data obtained by the large scale simulation is one of the main bottlenecks through all the simulation procedures because such large scale simulation is generally conducted on computing servers such as supercomputers, while the visualization is done on local client environments. To avoid time consuming transfer of the result data from the computing server to the local client, we propose techniques for the server-side screening and network visualization of them in advance to their transfer. We demonstrate that our approach contributes to find out the region of interests in whole the result data by a numerical example.

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