Transportation System Reliability Modeling

The joint general model of reliability and availability of complex technical systems in variable operation conditions linking a semi-markov modeling of the system operation processes with a multi-state approach to system reliability and availability analysis is constructed. Next, the final results of this joint model and a linear programming are used to build the model of complex technical systems reliability optimization. Theoretical results are applied to reliability, risk and availability evaluation and optimization of a port piping oil transportation system. Their other wide applications to port, shipyard and ship transportation systems reliability evaluation and optimization are possible. The results are expected to be the basis to the availability of complex teclmical systems optimization and their operation processes effectiveness and cost optimization as well. 

As a result of these proprietary operational studies the main 44 states have been determined for the model of railway transportation system reliability and safety which is being developed. 

Over the years, a large number of mathematical models have been developed to perform various types of reliability-related analyses of engineering systems. Most of these models were developed using the Markov method. Although the effechveness of such models can vary quite significantly from one situation to another, some of them are being used quite successfully to represent various types of real-life environments in the industrial sector [1-3]. Thus, some of these models can also be used to study transportation system reliability-related problems. 

This chapter presents the mathematical models considered useful, directly or indirectly, in conducting various types of transportation system reliability-related analyses. 

Cultured nasal cells are reliable models for drug transport and metabolism studies, since they are known to express important biological features (e.g. tight junctions, mucin secretion, cilia, and various transporters), resembling those found in vivo systems. Moreover, easy control of experimental conditions as well as separation of the permeation step from the subsequent absorption cascade is also possible. A relatively simple primary culture condition using human nasal epithelial cells for in vitro drug transport studies has been established and applied in transport and metabolism studies of drugs. It is known that the culture condition and/or selection of culture media are critical in the recapitulation of well-differentiation features of in vivo nasal mucosal epithelium [46],... 

For membrane reactors, many cmcial phenomena have to be included, as membrane permeability mechanism and hydrogen flux, reactions kinetics, heat and mass transport inside the reactor and from the external to the reactor. Therefore, a proper simulation certainly requires a deep study and a careful evaluation and definition of the system. The model developers have to work in a strict connection with test drivers, since reliable model parameters and coefficients definition is crucial designers can address reactors experimentation clarifying which information from test-benches are required. At the same time, a proper model development allows the number of experimental tests to be reduced drastically to those ones required for a complete reactor vahdation. 

ABSTRACT In the paper the semi-Markov model is applied to describe the port oil pipeline transportation system operation processes and its selected parameters are determined. Multi-state systems are considered and their reliability, risk and availability characteristics are fotmd. Next, the joint model of the systems operation process and the systems multi-state rehabdity is applied to the reliability, risk and availability evaluation of the port oil pipeline transportation system. 

Kolowrocki, K., Soszynska, J., Baranowski, Z. Golik, P. 2008. Preliminary modeling, statistical identification and evaluation of reliability, risk, availability and safety of port, shipyard and ship technical systems in constant and variable operation conditions. WP4 - Task 4.2. Preliminary reliability, risk and availability analysis and evaluation of a port oil transportation system in constant and variable operation conditions. WP4- Sub-Task 4.2.1 -English - 30.11.2008. Poland-Singapore Joint Project. MSHE Decision No. 63/N-Singapore/2007/0. 

ABSTRACT In the paper, an innovative model of combination of the influence of complex systems inside-dependences and the influence coining from their outside-dependencies on their reliability are presented. Further, the model is practically applied to the reliability evaluation of the ground ship-rope transporter operating in a shipyard at variable operation conditions and changing in time its reliability structure, its components reliability parameters and among its components and subsystems dependencies. As a result of this application, the multi-state reliability function of the shipyard transportation system is determined in case when its components have exponential reliability functions with interdependent departures rates from the subsets of their reliability states. At the end, discussion of how changing the reliability structure, components reliability parameters and inside and outside this transportation system dependencies result in changes of its reliability characteristics is performed. 

ABS Guide for Vessel Maneuverability. 2006. American Bureau of Shipping Incorporated by Act of Legislature of the State of New York 1862. Blokus-Roszkowska, A., Montewka, J. Smolarek, L. 2012. Modelling the accident probability in large-scale, maritime transportation system. Journal of PSRA, Summer Safety and Reliability Seminars 3(2) 237-244. 

Kierzkowski, A. (2010) Reliability models of transportation system of low cost airlines. Reliability, Risk and Safety Back to the Future 1325-1329. 

The Markov reliability and safety model of the railway transportation system... 

ABSTRACT In this paper, the author s research work is focused on modeling of railway transportation system s reliability and safety. The paper begins with an introduction related to a literature review on railway transportation system functionality, rehabiUty and safety modeling. The set of states can be divided into two subsets availability set and failure set of states. Defining states in terms of railway transportation system is a complex issue, therefore the state classification into availability an failure is not sufficieiit. In addition to the technical effects associated with incorrect operation of system components, traffic consequences (traffic disruptions) of events are important, especially in case of railway transportation system. The Markov model was built is described in relation to the parameters above. The paper ends with validation of the model, conclusions of the analysis, deahng with applicability of the model to solve problems for the real system and a summary with prospects for further research. 

A frequent subject of research is a separated element of the rail transport system. An example might be the analyses of technical objects included in the infrastructure. Krenzelok et al. (2010) have developed a 40-state model of reliability and safety of raU-road transit security devices. 

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