Improved Analytical Model for Predicting Field Production Performance in Vertical Multiphase Flow in Pipes Using MATLAB: A Case Study

This paper analyzes the value of staged deployment for complex infrastructure system and propose a concept of bootstrapping staged deployment. Staged deployment has been well known for its advantage of providing flexibility in an uncertain environment. In contrast, this paper demonstrates that the proposed bootstrapping staged deployment can even add values in a deterministic environment. The key idea of bootstrapping staged deployment is to have the previously deployed stages support the subsequent deployment. We develop an analytical model to demonstrate the effects of bootstrapping staged deployment with a case study in space exploration. Our analysis results show that with a well-coordinated deployment plan, staged deployment can overperform single-stage deployment even in a deterministic environment, and that there is an optimal number of stages in terms of lifecycle cost under certain conditions. Our method can find the analytical expression for the optimal number of stages and its deployment strategies. The general findings from the proposed concept and analytical method can advance our knowledge about systems staged deployment, and make operational planning of resource generation infrastructure more efficient.

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Developing Analytical Model for Locating Preferred Ecovillage Sites Using GIS - The Case Study of Bukgu, Pohang

Journal of the Korean Association of Geographic Information Studies ◽

10.11108/kagis.2013.16.2.030 ◽

2013 ◽

Vol 16 (2) ◽

pp. 30-46 ◽

Cited By ~ 2

Author(s):

Doo-Soon Kim ◽

Seon-A Jung

Keyword(s):

Analytical Model

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A new analytical model for reliability analysis of a launch vehicle system with limited test data

Proceedings of the Institution of Mechanical Engineers Part G Journal of Aerospace Engineering ◽

10.1177/0954410018799152 ◽

2018 ◽

Vol 233 (9) ◽

pp. 3482-3495

Author(s):

V Murugesan ◽

Sreejith Plappillimadam ◽

VJ Saji ◽

SS Maruthi ◽

AK Anilkumar

Keyword(s):

Reliability Analysis ◽

Analytical Model ◽

Test Data ◽

Weighting Factor ◽

Design Parameters ◽

Launch Vehicles ◽

Minimum Number ◽

First Time ◽

Propellant Rocket

Reliability is one of the critical design parameters for the launch vehicles and its systems. When the systems are ready to fly the first time, only limited test data are available and accordingly reliability assessed will be very low. However, in most cases, the new systems are derived and developed using the knowledge and experience gained from the heritage systems to meet the fresh challenges. Hence, the reliability assessed with the minimum number of tests done on the new system does not truly reflect the inherent reliability of the system. In this paper, an approach and a new analytical model are developed for the reliability assessment of systems with limited test data, giving an accurate weighting for the tests and flight experiences with similar systems. The method gives a systematic procedure for arriving at the weighting factor for test data of the pedigree system, with due consideration of the similarities between the systems and various factors influencing system reliability. The method is illustrated with a case study of a newly developed liquid propellant rocket system. The model is validated using the available test and flight data of two propulsion systems with adequate flight experience. The analytical model is generic in nature and can be applied to reliability analysis of any system, which has considerable similarities with a pedigree system.

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