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Risk and Reliability Analysis

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Risk and Reliability Analysis: Theory and Applications

Part of the book series: Springer Series in Reliability Engineering ((RELIABILITY))

Abstract

Natural and anthropogenic hazards pose significant risks to individuals and communities. Over the past few decades, risk and reliability analysis have gone from a specialty topic to a mainstream subject in engineering, becoming essential tools for informed decision making, hazard mitigation, and planning. This book presents the state-of-the-art in risk and reliability analysis with a unique collection of contributions from some of the foremost scholars in the field. Combining the most advanced analysis techniques with practical applications, this book is one of the most comprehensive and up-to-date references available on this subject, makes the state-of-the-art in risk and reliability analysis accessible to a large audience, and helps make risk and reliability analysis the rigorous foundation of engineering decision-making. The fundamental concepts needed to conduct risk and reliability analysis are covered in detail, providing readers with a sound understanding of the field and making the book a powerful tool for students, researchers and practitioners (engineering professionals and risk analysts) alike. The book is a tribute to Professor Armen Der Kiureghian, one of the fathers of modern risk and reliability analysis. During his career, Professor Der Kiureghian has made fundamental and revolutionary research contributions to this field. He has pioneered methods for safety and reliability assessment of complex structures and for stochastic seismic analysis of buildings, bridges and critical equipment. Many of his publications have become mandatory readings for the current and future generations of students, researchers and practitioners. The book is organized into six parts. Part I gives a general introduction of the book including a discussion of its goal and contributions, presents an overview of the field of risk and reliability analysis, and discusses the role of Armen Der Kiureghian in modern risk and reliability analysis. Part II focuses specifically on reliability analysis, and includes a description of efficient computational methods and their applications to some of the most complex real-life problems. Part III covers the subject of stochastic dynamics, presenting both methods and applications. Part IV discusses methods for sensitivity analysis and optimization in the context of risk and reliability analysis. Part V focuses on statistical analysis and the development of probabilistic models. Finally, Part VI covers life-cycle and resilience analysis as well as different financial tools for risk mitigation. While each part has a specific focus, many of the chapters build on and use the methods and techniques covered in some of the other parts of the book. Such links help understand the relation between the different subjects, which is needed for a thorough understanding of the topic of risk and reliability analysis.

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Notes

  1. 1.

    References include (Moghtaderi-Zadeh et al. 1982; Der Kiureghian and Moghtaderi-Zadeh 1982; Der Kiureghian 1983, 1996a, b; Moghtaderi-Zadeh and Der Kiureghian 1983; Der Kiureghian and Liu 1986; Liu and Der Kiureghian 1986, 1991a; Der Kiureghian et al. 1987, 1994; Der Kiureghian and Ke 1988; Der Kiureghian 1996a, b; Der Kiureghian and DeStefano 1991; Jang et al. 1994; Der Kiureghian and Dakessian 1998; Ambartzumian et al. 1998; Der Kiureghian and Zhang 1999; Corr et al. 2001; Der Kiureghian 2001a; Gardoni et al. 2002; Sudret and Der Kiureghian 2002; Song and Der Kiureghian 2003; Der Kiureghian et al. 2006, 2007; Haukaas and Der Kiureghian 2006, 2007; Der Kiureghian and Song 2008; Yang et al. 2009; Straub and Der Kiureghian 2011) (These references are taken from http://faculty.ce.berkeley.edu/adk/ accessed at the time of writing this introduction).

  2. 2.

    References include (Der Kiureghian 1978; Der Kiureghian 1980a, b, 1981, 1989a, b; Wilson et al. 1981; Sackman et al. 1983; Der Kiureghian et al. 1983; Nour-Omid et al. 1983; Igusa et al. 1984; Igusa and Der Kiureghian 1985a, b, c, 1988a, b, 1992; Smeby and Der Kiureghian 1985; Asfura and Der Kiureghian 1986; Lin et al. 1986; Sitar et al. 1987; Der Kiureghian and Crempien 1989; Der Kiureghian and Neuenhofer 1992; Der Kiureghian and Wung 1992; Chua et al. 1992; Der Kiureghian and Nakamura 1993; Zhang and Der Kiureghian 1994; Der Kiureghian 1996a, b; Ambartzumian et al. 1996; Casciati et al. 1997; Menun and Der Kiureghian 1998; Khachian et al. 1998; Der Kiureghian 2000; Menun and Der Kiureghian 2000a, b; Der Kiureghian et al. 2001; Hong et al. 2001, 2005; Franchin et al. 2002; Der Kiureghian and Sackman 2005; Koo et al. 2005; Der Kiureghian 2005, 2007; Song and Der Kiureghian 2006a, b; Song et al. 2007; Fujimura and Der Kiureghian 2007; Rezaeian and Der Kiureghian 2008; Taniguchi et al. 2008; Der Kiureghian and Fujimura 2009; Rezaeian and Der Kiureghian 2010; Garrè and Der Kiureghian 2010; Konakli and Der Kiureghian 2011, 2012, 2014; Rezaeian and Der Kiureghian 2012; Alibrandi and Der Kiureghian 2012; Konakli et al. 2014) (These references are taken from http://faculty.ce.berkeley.edu/adk/ accessed at the time of writing this introduction).

  3. 3.

    References include (Liu and Der Kiureghian 1991b, 1993; Zhang and Der Kiureghian 1993; Kirjner-Neto et al. 1998; Royset et al. 2001a, b, 2003, 2006; Haukaas and Der Kiureghian 2005, 2007) (These references are taken from http://faculty.ce.berkeley.edu/adk/ accessed at the time of writing this introduction).

  4. 4.

    References include (Der Kiureghian et al. 1997; Geyskens et al. 1998; Der Kiureghian 2001b; Sasani and Der Kiureghian 2001; Cetin et al. 2002, 2004; Sasani et al. 2002; Gardoni et al. 2002; Gardoni et al. 2003; Takahashi et al. 2004, Moss et al. 2006; Straub and Der Kiureghian 2008, 2010a, b; Der Kiureghian 2008; Der Kiureghian and Ditlevsen 2009; Bensi et al. 2011, 2013; Kayen et al. 2013) (These references are taken from http://faculty.ce.berkeley.edu/adk/ accessed at the time of writing this introduction).

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Gardoni, P. (2017). Risk and Reliability Analysis. In: Gardoni, P. (eds) Risk and Reliability Analysis: Theory and Applications. Springer Series in Reliability Engineering. Springer, Cham. https://doi.org/10.1007/978-3-319-52425-2_1

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