Postearthquake Recovery of a Water Distribution System: Discrete Event Simulation Using Colored Petri Nets

2011 ◽  
Vol 17 (1) ◽  
pp. 25-34 ◽  
Author(s):  
Ronaldo Luna ◽  
Nandini Balakrishnan ◽  
Cihan H. Dagli
Keyword(s):  
Petri Nets ◽  
Discrete Event Simulation ◽  
Distribution System ◽  
Water Distribution ◽  
Water Distribution System ◽  
Discrete Event ◽  
Colored Petri Nets ◽  
Event Simulation

scholarly journals Seismic Resilience Enhancement of Urban Water Distribution System Using Restoration Priority of Pipeline Damages

2020 ◽  
Vol 12 (3) ◽  
pp. 914
Author(s):  
Zhao Han ◽  
Donghui Ma ◽  
Benwei Hou ◽  
Wei Wang
Keyword(s):  
Distribution System ◽  
Water Distribution ◽  
Water Distribution System ◽  
Discrete Event ◽  
Cost Benefit ◽  
Optimization Method ◽  
Relative Difference ◽  
Evaluation Framework ◽  
System State ◽  
Seismic Resilience

The malfunction of the water distribution system (WDS) following severe earthquakes have significant impacts on the post-earthquake rescue. Moreover, the restoration priority of earthquake-induced pipeline damages plays an important role in improving the post-earthquake serviceability of WDS and the “seismic resilience”. Thus, to enhance the seismic resilience of WDS, this study develops a dynamic cost-benefit method and introduces three existing methods to determine the restoration priority of pipeline damages based on a quantitative resilience evaluation framework. In this resilience evaluation framework, the restoration priority is firstly determined. Then the time-varying performance of post-earthquake WDS is modeled as a discrete event dynamic system. In this model, the system state changes after the reparation of pipeline damage, and the system performance is simulated by a hydraulic model to be consistent with the system state. In this study, this method is also tested and compared with other existing methods, and the results show that the system resilience corresponding to the restoration priority obtained by this method is close to that obtained by the global optimization method with a relative difference of less than 3%, whereas the calculation complexity is about 0.4% of the optimization model. It is concluded that this proposed method is valid.

scholarly journals On the performance potential of speculative execution based on branch and value prediction

2003 ◽  
Vol 16 (1) ◽  
pp. 83-91
Author(s):  
Pece Mitrevski ◽  
Marjan Gusev
Keyword(s):  
Petri Nets ◽  
Dynamic Behavior ◽  
Discrete Event Simulation ◽  
Discrete Event ◽  
Stochastic Petri Nets ◽  
Speculative Execution ◽  
Performance Potential ◽  
Value Prediction ◽  
Event Simulation ◽  
Instructions Per Cycle

Fluid Stochastic Petri Nets are used to capture the dynamic behavior of an ILP processor, and discrete-event simulation is applied to assess the performance potential of predictions and speculative execution in boosting the performance of ILP processors that fetch, issue, execute and commit a large number of instructions per cycle.

MODELING AND SIMULATION OF MOLECULAR BIOLOGY SYSTEMS USING PETRI NETS: MODELING GOALS OF VARIOUS APPROACHES

2004 ◽  
Vol 02 (04) ◽  
pp. 619-637 ◽  
Author(s):  
SIMON HARDY ◽  
PIERRE N. ROBILLARD
Keyword(s):  
Molecular Biology ◽  
Qualitative Analysis ◽  
Petri Nets ◽  
Discrete Event Simulation ◽  
Petri Net ◽  
Metabolic Networks ◽  
System Simulation ◽  
Discrete Event ◽  
Simulation Approach ◽  
Event Simulation

Petri nets are a discrete event simulation approach developed for system representation, in particular for their concurrency and synchronization properties. Various extensions to the original theory of Petri nets have been used for modeling molecular biology systems and metabolic networks. These extensions are stochastic, colored, hybrid and functional. This paper carries out an initial review of the various modeling approaches based on Petri net found in the literature, and of the biological systems that have been successfully modeled with these approaches. Moreover, the modeling goals and possibilities of qualitative analysis and system simulation of each approach are discussed.

Modeling Power of Stochastic Petri Nets for Simulation

1988 ◽  
Vol 2 (4) ◽  
pp. 435-459 ◽  
Author(s):  
Peter J. Haas ◽  
Gerald S. Shedler
Keyword(s):  
Petri Nets ◽  
State Space ◽  
Discrete Event Simulation ◽  
Discrete Event ◽  
The State ◽  
Stochastic Petri Nets ◽  
Event Simulation ◽  
Transition Mechanism ◽  
Modeling Power ◽  
Semi Markov Process

Generalized semi-Markov processes and stochastic Petri nets have been proposed as general frameworks for a discrete event simulation on a countable state space. The two formal systems differ, however, with respect to the clock setting (event scheduling) mechanism, the state transition mechanism, and the form of the state space. We obtain conditions under which the marking process of a stochastic Petri net “mimics” a generalized semi-Markov process in the sense that the two processes (and their underlying general state-space Markov chains) have the same finite dimensional distributions. The results imply that stochastic Petri nets have at least the modeling power of generalized semiMarkov processes for discrete event simulation.

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