Featuring real-world examples and practical methodology, this rigorous text explores time dependence in the mechanics of ice. Emphasizing use of full scale data, and implementing risk-based design methods, mechanical theory is combined with design and modelling. Readers will gain understanding of fundamental concepts and modern advances of ice mechanics and ice failure processes, analysis of field data, and use of probabilistic design methods, with applications to the interaction of ships and offshore structures with thick ice features or icebergs. The book highlights the use of viscoelastic theory, including nonlinearity with stress and the effects of microstructural change, in the mechanics of ice failure and fracture. The methods of design focus on risk analysis, with emphasis on rational limit-state principles and safety. Full discussion of historical discoveries and modern advances – including Hans Island, Molikpak, and others – support up-to-date methods and models to make this an ideal resource for designers and researchers.

To better understand the core concepts of probability and to see how they affect real-world decisions about design and system performance, engineers and scientists might want to ask themselves the following questions: what exactly is meant by probability? What is the precise definition of the 100-year load and how is it calculated? What is an 'extremal' probability distribution? What is the Bayesian approach? How is utility defined? How do games fit into probability theory? What is entropy? How do I apply these ideas in risk analysis? Starting from the most basic assumptions, this 2005 book develops a coherent theory of probability and broadens it into applications in decision theory, design, and risk analysis. This book is written for engineers and scientists interested in probability and risk. It can be used by undergraduates, graduate students, or practicing engineers.

To better understand the core concepts of probability and to see how they affect real-world decisions about design and system performance, engineers and scientists might want to ask themselves the following questions: what exactly is meant by probability? What is the precise definition of the 100-year load and how is it calculated? What is an 'extremal' probability distribution? What is the Bayesian approach? How is utility defined? How do games fit into probability theory? What is entropy? How do I apply these ideas in risk analysis? Starting from the most basic assumptions, this 2005 book develops a coherent theory of probability and broadens it into applications in decision theory, design, and risk analysis. This book is written for engineers and scientists interested in probability and risk. It can be used by undergraduates, graduate students, or practicing engineers.