Session: 9D, Wednesday, 27 January 2010, 0800-1000
Moderator: Susie Go, Ph.D., NASA Ames Research Center
This session includes papers demonstrating the application of a spectrum physical and logical models to the solution of reliability and risk related problems. The physical models are developed for a variety of environments including fragmentation and combustion physics. The logical models include both discrete event Monte Carlo based analyses and continuous time Markov related models.
Papers:
9D1 [0055] APPLYING DISCRETE EVENT MODELING TO THE REAL WORLD
by Jim Owens, Scott Miller, The Dow Chemical Company, and Daniel Deans, Millennium Engineering and Integration Co.
Application of Discrete Event Modeling to drive availability of systems and to identify areas for improvement provides program managers and reliability engineers alike a process for mission/product success, and Maintenance Cost Reductions.
9D2 [0102] PHYSICAL SIMULATION IN SPACE LAUNCHER ENGINE RISK ASSESSMENT
by Balachandar Ramamurthy, Eliyahu Horowitz, and Joseph R. Fragola, Valador, Inc.
This paper discusses a methodology for the application of physical simulation techniques to the risk assessment of liquid propellant rocket engines, with an example of its application to a Liquid Hydrogen, Liquid Oxygen gas generator cycle engine.
9D3 [0192] INTERMEDIATE FAILURE STATES IN SIMULATION-BASED LAUNCH VEHICLE RISK STUDY by Ted Manning, NASA, Scott Lawrence, NASA Ames Research Center, Hamed S. Nejad, Ph.D., ELORET Corporation, and Peter Gage, Neerim Corporation
Intermediate failure states are added to a simulation-based risk assessment approach for crewed launch vehicle aborts. While minimizing analysis complexity, these common system-level failure states mark the onset of “loss-of- mission” and permit a more faithful representation of the nuances in path and timing between initial failure and final catastrophic, crew-threatening outcome. The updated model’s utility will be demonstrated in the context of using crew risk to guide abort trigger selection
9D4 [0086] MODELING AND SIMULATION FOR NETWORK TRANSMISSION TIME RELIABILITY
by Ruiying Li, Ning Huang, and Rui Kang, Beihang University
According to the network function, network transmission time reliability is advanced as a common parameter to describe network congestion. To evaluate this parameter, structure model, route model, service mechanism model and mission model are built, as well as the simulation flow & evaluation method are expressed. Finally, the backbone of CERNET is studied as a case, and the result shows that this modeling and simulation method is effectively.
Physical and Logical Simulation for Enhancement of Reliability and Risk Assessment
Session: 9D, Wednesday, 27 January 2010, 0800-1000
Moderator: Susie Go, Ph.D., NASA Ames Research Center
This session includes papers demonstrating the application of a spectrum physical and logical models to the solution of reliability and risk related problems. The physical models are developed for a variety of environments including fragmentation and combustion physics. The logical models include both discrete event Monte Carlo based analyses and continuous time Markov related models.
Papers:
9D1 [0055] APPLYING DISCRETE EVENT MODELING TO THE REAL WORLD
by Jim Owens, Scott Miller, The Dow Chemical Company, and Daniel Deans, Millennium Engineering and Integration Co.
Application of Discrete Event Modeling to drive availability of systems and to identify areas for improvement provides program managers and reliability engineers alike a process for mission/product success, and Maintenance Cost Reductions.
9D2 [0102] PHYSICAL SIMULATION IN SPACE LAUNCHER ENGINE RISK ASSESSMENT
by Balachandar Ramamurthy, Eliyahu Horowitz, and Joseph R. Fragola, Valador, Inc.
This paper discusses a methodology for the application of physical simulation techniques to the risk assessment of liquid propellant rocket engines, with an example of its application to a Liquid Hydrogen, Liquid Oxygen gas generator cycle engine.
9D3 [0192] INTERMEDIATE FAILURE STATES IN SIMULATION-BASED LAUNCH VEHICLE RISK STUDY by Ted Manning, NASA, Scott Lawrence, NASA Ames Research Center, Hamed S. Nejad, Ph.D., ELORET Corporation, and Peter Gage, Neerim Corporation
Intermediate failure states are added to a simulation-based risk assessment approach for crewed launch vehicle aborts. While minimizing analysis complexity, these common system-level failure states mark the onset of “loss-of- mission” and permit a more faithful representation of the nuances in path and timing between initial failure and final catastrophic, crew-threatening outcome. The updated model’s utility will be demonstrated in the context of using crew risk to guide abort trigger selection
9D4 [0086] MODELING AND SIMULATION FOR NETWORK TRANSMISSION TIME RELIABILITY
by Ruiying Li, Ning Huang, and Rui Kang, Beihang University
According to the network function, network transmission time reliability is advanced as a common parameter to describe network congestion. To evaluate this parameter, structure model, route model, service mechanism model and mission model are built, as well as the simulation flow & evaluation method are expressed. Finally, the backbone of CERNET is studied as a case, and the result shows that this modeling and simulation method is effectively.