Probability applications in mechanical design

Formatted with examples and problems for use in a one-semester graduate course!This reference/text clarifies fatigue and design problems by applying probability and computer analysis, and further extending the uses of probability to determine mechanical reliability and achieve optimization. Solves examples using commercially available software!Including over 800 equations, references, and drawings, Probability Applications in Mechanical Designoutlines data reduction techniques for discrete and grouped data covers linear and nonlinear optimization and the basics of mechanical reliabilitypresents geometric programming methods and compares results to sample problems with computer generated nonlinear programming solutionsexpands principles applied to Gaussian and Weibull distributions to include non-parametric distributions gives failure rate data for mechanical systemsexplains Bayes theorem and decision trees enumerates factors influencing fatigue behaviorand more!Probability Applications in Mechanical Design is an excellent reference for mechanical, civil, architectural, plant, process, aeronautical, manufacturing, plastics, quality control, reliability, and design engineers; and a groundbreaking text for upper-level undergraduate and graduate students in these disciplines.