The book presents highly technical approaches to the probabilistic physics of failure analysis and applications to accelerated life and degradation testing to reliability prediction and assessment. Beside reviewing a select set of important failure mechanisms, the book covers basic and advanced methods of performing accelerated life test and accelerated degradation tests and analyzing the test data. The book includes a large number of very useful examples to help readers understand complicated methods described. Finally, MATLAB, R and OpenBUGS computer scripts are provided and discussed to support complex computational probabilistic analyses introduced.
Fatigue is probabilistic in nature and involves a complex spectrum of loading history with variable amplitudes and frequencies. Yet most available fatigue failure prediction methods are empirical and concentrate on very specific types of loading. Taking a different approach, Introduction to Thermodynamics of Mechanical Fatigue examines the treatment of fatigue via the principles of thermodynamics. It starts from the premise that fatigue is a dissipative process and must obey the laws of thermodynamics. In general, it can be hypothesized that mechanical degradation is a consequence of irreversible thermodynamic processes. This suggests that entropy generation offers a natural measure of degradation. An Entropic Approach to Fatigue and Degradation Drawing on recent cutting-edge research and development, the authors present a unified entropic approach to problems involving fatigue. They introduce the fundamentals of fatigue processes and explore a wide range of practical engineering applications. Fundamental Concepts and Methodologies The book reviews commonly observed failure modes, discusses how to analyze fatigue problems, and examines the deformation characteristics of a solid material subjected to fatigue loading. It also looks at how to use thermodynamics to determine the onset of fatigue failure. In addition, the book presents methodologies for improving fatigue life and for accelerated fatigue testing. Learn How to Apply the Entropic Approach to Fatigue Problems Comprehensive and well organized, this work helps readers apply powerful thermodynamics concepts to effectively treat fatigue problems at the design stage. It offers an accessible introduction to a new and exciting area of research in the field of fatigue failure analysis.
The work describes the general ecological aspects of Iran as well as West and Central Asia in the introduction. The book includes three chapters, each describing the climate, geology and soil characteristics, vegetation and forest types, site demands of the main tree species and the ecogram of them, management and socio-economic issues of three different phytogeographical regions, mainly the Hyrcanian, Irano-Turanian, and Saharo-Sindian. Each chapter contains a table for introducing the English and Botanical names of the plant species mentioned in the chapter. The information presented in this book is based on personal experiences and results of research projects of the authors, as well as experiences of other forest scientists in Iran. The references are given at the end of each chapter separately. The book contains 10 tables, 37 black and white and 55 color pictures.
This book begins by briefly explaining learning automata (LA) models and a recently developed cellular learning automaton (CLA) named wavefront CLA. Analyzing social networks is increasingly important, so as to identify behavioral patterns in interactions among individuals and in the networks’ evolution, and to develop the algorithms required for meaningful analysis. As an emerging artificial intelligence research area, learning automata (LA) has already had a significant impact in many areas of social networks. Here, the research areas related to learning and social networks are addressed from bibliometric and network analysis perspectives. In turn, the second part of the book highlights a range of LA-based applications addressing social network problems, from network sampling, community detection, link prediction, and trust management, to recommender systems and finally influence maximization. Given its scope, the book offers a valuable guide for all researchers whose work involves reinforcement learning, social networks and/or artificial intelligence.
This book describes an effective framework for setting the right process parameters and new mold design to reduce the current plastic defects in injection molding. It presents a new approach for the optimization of injection molding process via (i) a new mold runner design which leads to 20 percent reduction in scrap rate, 2.5 percent reduction in manufacturing time, and easier ejection of injected part, (ii) a new mold gate design which leads to less plastic defects; and (iii) the introduction of a number of promising alternatives with high moldability indices. Besides presenting important developments of relevance academic research, the book also includes useful information for people working in the injection molding industry, especially in the green manufacturing field.
This book collects recent theoretical advances and concrete applications of learning automata (LAs) in various areas of computer science, presenting a broad treatment of the computer science field in a survey style. Learning automata (LAs) have proven to be effective decision-making agents, especially within unknown stochastic environments. The book starts with a brief explanation of LAs and their baseline variations. It subsequently introduces readers to a number of recently developed, complex structures used to supplement LAs, and describes their steady-state behaviors. These complex structures have been developed because, by design, LAs are simple units used to perform simple tasks; their full potential can only be tapped when several interconnected LAs cooperate to produce a group synergy. In turn, the next part of the book highlights a range of LA-based applications in diverse computer science domains, from wireless sensor networks, to peer-to-peer networks, to complex social networks, and finally to Petri nets. The book accompanies the reader on a comprehensive journey, starting from basic concepts, continuing to recent theoretical findings, and ending in the applications of LAs in problems from numerous research domains. As such, the book offers a valuable resource for all computer engineers, scientists, and students, especially those whose work involves the reinforcement learning and artificial intelligence domains.
This book discusses the need of a legal protection at national and global levels to address the use of temporary employment contracts by employers. Chapter 1 reviews some theories of job security, showing how job security issues should be regulated in labour laws to protect workers and also how temporary contracts affect job security. Chapter 2 examines legal protection of job security in temporary contract in international contexts where it examines the concept and need for job security and job protection especially for temporary contracts based on three United Nations’ instruments, namely, the Universal Declaration of Human Rights (UDHR), International Covenant on Civil and Political Rights (ICCPR), and International Covenant on Economic, Social and Cultural Rights (ICESCR). Chapter 3 studies the ILO standards in relation to job security and temporary contracts as well as those covered by the Philadelphia Declaration and other conventions and recommendations. Chapter 4 discusses Islamic jurisprudence on jobs and job security. The main aims of this chapter is to provide the framework for protecting workers as a means to enhance job security in the world especially in Islam. It discusses Islamic jurisprudence concerning work and job conditions. The Islamic precept is based on the Qur’an and Hadith and these sources are used to explain the concept of jobs in Islam. In addition, this chapter also examines the Cairo Declaration on Human Rights in Islam (CDHRI).
The main focus of Literary Subterfuge and Contemporary Persian Fiction is to identify components and elements which define Persian modernist fiction, placing an emphasis on literary concepts and devices which provide the dynamics of the evolutionary trajectory of this modernism. The question of ‘who writes Iran’ refers to a contested area which goes beyond the discipline of literary criticism. Non-literary discourses have made every effort to impose their "committed" readings on literary texts; they have even managed to exert influence on the process of literary creation. In this process, inevitably, many works, or segments of them, and many concepts which do not lend themselves to such readings have been ignored; at the same time, many of them have been appropriated by these discourses. Yet components and elements of Persian literary tradition have persistently engaged in this discursive confrontation, mainly by insisting on literature’s relative autonomy, so that at least concepts such as conformity and subterfuge, essential in terms of defining modern and modernist Persian fiction, could be defined in a literary manner. Proffering an alternative in terms of literary historiography; this book supports a methodological approach that considers literary narratives which occur in the margins of dominant discourses, and indeed promote non-discursivity, as the main writers of Persian modernist fiction. It is an essential resource for scholars and researchers interested in Persian and comparative literature, as well as Middle Eastern Studies more broadly.
The book presents highly technical approaches to the probabilistic physics of failure analysis and applications to accelerated life and degradation testing to reliability prediction and assessment. Beside reviewing a select set of important failure mechanisms, the book covers basic and advanced methods of performing accelerated life test and accelerated degradation tests and analyzing the test data. The book includes a large number of very useful examples to help readers understand complicated methods described. Finally, MATLAB, R and OpenBUGS computer scripts are provided and discussed to support complex computational probabilistic analyses introduced.
Fatigue is probabilistic in nature and involves a complex spectrum of loading history with variable amplitudes and frequencies. Yet most available fatigue failure prediction methods are empirical and concentrate on very specific types of loading. Taking a different approach, Introduction to Thermodynamics of Mechanical Fatigue examines the treatment of fatigue via the principles of thermodynamics. It starts from the premise that fatigue is a dissipative process and must obey the laws of thermodynamics. In general, it can be hypothesized that mechanical degradation is a consequence of irreversible thermodynamic processes. This suggests that entropy generation offers a natural measure of degradation. An Entropic Approach to Fatigue and Degradation Drawing on recent cutting-edge research and development, the authors present a unified entropic approach to problems involving fatigue. They introduce the fundamentals of fatigue processes and explore a wide range of practical engineering applications. Fundamental Concepts and Methodologies The book reviews commonly observed failure modes, discusses how to analyze fatigue problems, and examines the deformation characteristics of a solid material subjected to fatigue loading. It also looks at how to use thermodynamics to determine the onset of fatigue failure. In addition, the book presents methodologies for improving fatigue life and for accelerated fatigue testing. Learn How to Apply the Entropic Approach to Fatigue Problems Comprehensive and well organized, this work helps readers apply powerful thermodynamics concepts to effectively treat fatigue problems at the design stage. It offers an accessible introduction to a new and exciting area of research in the field of fatigue failure analysis.
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