Collection of papers from the "Reliability & Robust Design in Automotive Engineering" session of the SAE 2006 World Congress, held April 3-6 in Detroit, Michigan.

IE-2 > FV 5E-3 > FV IE-3 > FV IE-4 > FV Trun- Total IST and IST Components Total IST FV> IE-2 Type >5E-3 > IE-3 > IE-4 >0 cated IPE Components Not Modeled in PRA Components 11 3 6 5 27 73 100 AOV 2 CV 4 21 24 16 12 77 94 171 4 6 10 HOV 4 34 158 MOV 2 5 35 33 24 25 124 43 43 MV 2 PORV 1 1 2 PUMP 12 5 6 1 3 27 9 36 54 54 SOV SRV 20 3 23 23 Total 39 17 73 61 49 45 284 313 597 ------- --- Table 2. Levell IPEEE Basic Event Importance - Risk Achievement Worth Total IST and (PE IST Components Not Total IST 2>RAW>0 Truncated Type RAW>2 Components Modeled in PRA Components 100 AOV 13 9 5 27 73 CV 52 16 9 77 94 171 4 4 6 10 HOV MOV 60 54 10 124 34 158 43 43 MV PORV 2 2 2 PUMP 24 3 27 9 36 SOV 54 54 SRV 23 23 23 597 Total 155 102 27 284 313 ~~--- -. . j S 702 and 2 includes the following IST component types: pumps, air-operated valves (AOV), check valves (CV), hydraulically-operated valves (HOV), motor-operated valves (MOV), manual valves (MV), pressurizer power-operated relief valves (PORV), solenoid operated valves (SOV), and safety reliefvalves (SRV).

Simulation Modeling and Analysis with Arena is a highly readable textbook which treats the essentials of the Monte Carlo discrete-event simulation methodology, and does so in the context of a popular Arena simulation environment. It treats simulation modeling as an in-vitro laboratory that facilitates the understanding of complex systems and experimentation with what-if scenarios in order to estimate their performance metrics. The book contains chapters on the simulation modeling methodology and the underpinnings of discrete-event systems, as well as the relevant underlying probability, statistics, stochastic processes, input analysis, model validation and output analysis. All simulation-related concepts are illustrated in numerous Arena examples, encompassing production lines, manufacturing and inventory systems, transportation systems, and computer information systems in networked settings. Introduces the concept of discrete event Monte Carlo simulation, the most commonly used methodology for modeling and analysis of complex systems Covers essential workings of the popular animated simulation language, ARENA, including set-up, design parameters, input data, and output analysis, along with a wide variety of sample model applications from production lines to transportation systems Reviews elements of statistics, probability, and stochastic processes relevant to simulation modeling

This book collects select chapters on modern industrial problems related to uncertainties and vagueness in the expert domain of knowledge. The book further provides the knowledge related to application of various mathematical and statistical tools in these areas. The results presented in the book help the researchers and scientists in handling complicated projects in their domains. Useful to industrialists, academicians, researchers and students alike, the book aims to help managers and technical specialists in designing and implementation of reliability and risk programs as below: Ensure the system safety and risk informed asset management Follow a proper strategy to maintain the mechanical components of the system Schedule the proper actions throughout the product life cycle Understand the structure and cost of a complex system Plan the proper schedule to improve the reliability and life of the system Identify unwanted failures and set up preventive and correction action

Multiscale Modeling for Process Safety Applications is a new reference demonstrating the implementation of multiscale modeling techniques on process safety applications. It is a valuable resource for readers interested in theoretical simulations and/or computer simulations of hazardous scenarios. As multi-scale modeling is a computational technique for solving problems involving multiple scales, such as how a flammable vapor cloud might behave if ignited, this book provides information on the fundamental topics of toxic, fire, and air explosion modeling, as well as modeling jet and pool fires using computational fluid dynamics. The book goes on to cover nanomaterial toxicity, QPSR analysis on relation of chemical structure to flash point, molecular structure and burning velocity, first principle studies of reactive chemicals, water and air reactive chemicals, and dust explosions. Chemical and process safety professionals, as well as faculty and graduate researchers, will benefit from the detailed coverage provided in this book. Provides the only comprehensive source addressing the use of multiscale modeling in the context of process safety Bridges multiscale modeling with process safety, enabling the reader to understand mapping between problem detail and effective usage of resources Presents an overall picture of addressing safety problems in all levels of modeling and the latest approaches to each in the field Features worked out examples, case studies, and a question bank to aid understanding and involvement for the reader