Download Full eBooks in PDF
Local Maxima Of Stationary Stochastic Processes And Stochastic Modelling Of Fatigue Microform Book in PDF, ePub and Kindle version is available to download in english. Read online anytime anywhere directly from your device. Click on the download button below to get a free pdf file of Local Maxima Of Stationary Stochastic Processes And Stochastic Modelling Of Fatigue Microform book. This book definitely worth reading, it is an incredibly well-written.
Author : Anthony F. Desmond
Publisher : National Library of Canada
Page : 128 pages
File Size : 48,8 Mb
Release : 1982
Category : Electronic
ISBN : 0315134828
Author : Anonim
Publisher : Unknown
Page : 1166 pages
File Size : 53,6 Mb
Release : 1985
Category : Canada
ISBN : UOM:39015082110027
Author : Anonim
Publisher : Unknown
Page : 666 pages
File Size : 45,7 Mb
Release : 1995
Category : Dissertations, Academic
ISBN : STANFORD:36105020027236
Author : Anonim
Publisher : Unknown
Page : 1016 pages
File Size : 52,9 Mb
Release : 1989
Category : Dissertations, Academic
ISBN : UOM:39015065693932
Author : K. Sobczyk,B. F. Spencer Jr.
Publisher : Academic Press
Page : 277 pages
File Size : 42,9 Mb
Release : 2012-12-02
Category : Technology & Engineering
ISBN : 9780323138581
For many years fatigue has been a significant and difficult problem for engineers, especially for those who design structures such as aircraft, bridges, pressure vessels, and cranes. Fatigue of engineering materials is commonly regarded as an important deterioration process and a principal mode of failure for various structural and mechanical systems. This book presents a unified approach to stochastic modeling of the fatigue phenomenon, particularly the fatigue crack growth process. The main approaches to construction of these stochastic models are presented to show their methodological consistency and potential usefulness in engineering practice. The analyses contained in this work should also inspire the development of new approaches for designing and performing fatigue experiments.
Author : Anonim
Publisher : Unknown
Page : 564 pages
File Size : 50,8 Mb
Release : 1982
Category : Dissertation abstracts
ISBN : UOM:39015086948406
Author : Carl Graham,Denis Talay
Publisher : Springer Science & Business Media
Page : 264 pages
File Size : 40,5 Mb
Release : 2013-07-16
Category : Mathematics
ISBN : 9783642393631
In various scientific and industrial fields, stochastic simulations are taking on a new importance. This is due to the increasing power of computers and practitioners’ aim to simulate more and more complex systems, and thus use random parameters as well as random noises to model the parametric uncertainties and the lack of knowledge on the physics of these systems. The error analysis of these computations is a highly complex mathematical undertaking. Approaching these issues, the authors present stochastic numerical methods and prove accurate convergence rate estimates in terms of their numerical parameters (number of simulations, time discretization steps). As a result, the book is a self-contained and rigorous study of the numerical methods within a theoretical framework. After briefly reviewing the basics, the authors first introduce fundamental notions in stochastic calculus and continuous-time martingale theory, then develop the analysis of pure-jump Markov processes, Poisson processes, and stochastic differential equations. In particular, they review the essential properties of Itô integrals and prove fundamental results on the probabilistic analysis of parabolic partial differential equations. These results in turn provide the basis for developing stochastic numerical methods, both from an algorithmic and theoretical point of view. The book combines advanced mathematical tools, theoretical analysis of stochastic numerical methods, and practical issues at a high level, so as to provide optimal results on the accuracy of Monte Carlo simulations of stochastic processes. It is intended for master and Ph.D. students in the field of stochastic processes and their numerical applications, as well as for physicists, biologists, economists and other professionals working with stochastic simulations, who will benefit from the ability to reliably estimate and control the accuracy of their simulations.
Author : Franz Roters,Philip Eisenlohr,Thomas R. Bieler,Dierk Raabe
Publisher : John Wiley & Sons
Page : 188 pages
File Size : 44,8 Mb
Release : 2011-08-04
Category : Technology & Engineering
ISBN : 9783527642090
Written by the leading experts in computational materials science, this handy reference concisely reviews the most important aspects of plasticity modeling: constitutive laws, phase transformations, texture methods, continuum approaches and damage mechanisms. As a result, it provides the knowledge needed to avoid failures in critical systems udner mechanical load. With its various application examples to micro- and macrostructure mechanics, this is an invaluable resource for mechanical engineers as well as for researchers wanting to improve on this method and extend its outreach.
Author : Agoston E. Eiben,J.E. Smith
Publisher : Springer Science & Business Media
Page : 307 pages
File Size : 51,7 Mb
Release : 2013-03-14
Category : Computers
ISBN : 9783662050941
The first complete overview of evolutionary computing, the collective name for a range of problem-solving techniques based on principles of biological evolution, such as natural selection and genetic inheritance. The text is aimed directly at lecturers and graduate and undergraduate students. It is also meant for those who wish to apply evolutionary computing to a particular problem or within a given application area. The book contains quick-reference information on the current state-of-the-art in a wide range of related topics, so it is of interest not just to evolutionary computing specialists but to researchers working in other fields.
Author : Anonim
Publisher : Unknown
Page : 758 pages
File Size : 40,6 Mb
Release : 1979
Category : Aeronautics
ISBN : UIUC:30112075601572
Lists citations with abstracts for aerospace related reports obtained from world wide sources and announces documents that have recently been entered into the NASA Scientific and Technical Information Database.
Author : Asok K. Sen,Kamal K. Bardhan,Bikas K. Chakrabarti
Publisher : Springer
Page : 326 pages
File Size : 52,8 Mb
Release : 2009-04-20
Category : Science
ISBN : 9783540854289
This lecture notes in physics volume mainly focuses on the semi classical and qu- tum aspects of percolation and breakdown in disordered, composite or granular s- tems. The main reason for this undertaking has been the fact that, of late, there have been a lot of (theoretical) work on quantum percolation, but there is not even a (single) published review on the topic (and, of course, no book). Also, there are many theoretical and experimental studies on the nonlinear current-voltage characteristics both away from, as well as one approaches, an electrical breakdown in composite materials. Some of the results are quite intriguing and may broadly be explained utilising a semi classical (if not, fully quantum mechanical) tunnelling between - cron or nano-sized metallic islands dispersed separated by thin insulating layers, or in other words, between the dangling ends of small percolation clusters. There have also been several (theoretical) studies of Zener breakdown in Mott or Anderson in- lators. Again, there is no review available, connecting them in any coherent fashion. A compendium volume connecting these experimental and theoretical studies should be unique and very timely, and hence this volume. The book is organised as follows. For completeness, we have started with a short and concise introduction on classical percolation. In the ?rst chapter, D. Stauffer reviews the scaling theory of classical percolation emphasizing (biased) diffusion, without any quantum effects. The next chapter by A. K.
Author : Basil Kouvaritakis,Mark Cannon
Publisher : Springer
Page : 384 pages
File Size : 44,6 Mb
Release : 2015-12-01
Category : Technology & Engineering
ISBN : 9783319248530
For the first time, a textbook that brings together classical predictive control with treatment of up-to-date robust and stochastic techniques. Model Predictive Control describes the development of tractable algorithms for uncertain, stochastic, constrained systems. The starting point is classical predictive control and the appropriate formulation of performance objectives and constraints to provide guarantees of closed-loop stability and performance. Moving on to robust predictive control, the text explains how similar guarantees may be obtained for cases in which the model describing the system dynamics is subject to additive disturbances and parametric uncertainties. Open- and closed-loop optimization are considered and the state of the art in computationally tractable methods based on uncertainty tubes presented for systems with additive model uncertainty. Finally, the tube framework is also applied to model predictive control problems involving hard or probabilistic constraints for the cases of multiplicative and stochastic model uncertainty. The book provides: extensive use of illustrative examples; sample problems; and discussion of novel control applications such as resource allocation for sustainable development and turbine-blade control for maximized power capture with simultaneously reduced risk of turbulence-induced damage. Graduate students pursuing courses in model predictive control or more generally in advanced or process control and senior undergraduates in need of a specialized treatment will find Model Predictive Control an invaluable guide to the state of the art in this important subject. For the instructor it provides an authoritative resource for the construction of courses.
Author : Rolf Isermann
Publisher : Springer Science & Business Media
Page : 478 pages
File Size : 49,9 Mb
Release : 2006-01-16
Category : Technology & Engineering
ISBN : 9783540303688
With increasing demands for efficiency and product quality plus progress in the integration of automatic control systems in high-cost mechatronic and safety-critical processes, the field of supervision (or monitoring), fault detection and fault diagnosis plays an important role. The book gives an introduction into advanced methods of fault detection and diagnosis (FDD). After definitions of important terms, it considers the reliability, availability, safety and systems integrity of technical processes. Then fault-detection methods for single signals without models such as limit and trend checking and with harmonic and stochastic models, such as Fourier analysis, correlation and wavelets are treated. This is followed by fault detection with process models using the relationships between signals such as parameter estimation, parity equations, observers and principal component analysis. The treated fault-diagnosis methods include classification methods from Bayes classification to neural networks with decision trees and inference methods from approximate reasoning with fuzzy logic to hybrid fuzzy-neuro systems. Several practical examples for fault detection and diagnosis of DC motor drives, a centrifugal pump, automotive suspension and tire demonstrate applications.
Author : Anonim
Publisher : Unknown
Page : 764 pages
File Size : 49,5 Mb
Release : 1984
Category : Physics
ISBN : UOM:39015026184302
Author : Mohamed Haddar,Fakher Chaari,Abdelmajid Benamara,Mnaouar Chouchane,Chafik Karra,Nizar Aifaoui
Publisher : Springer
Page : 1262 pages
File Size : 54,8 Mb
Release : 2017-11-25
Category : Technology & Engineering
ISBN : 9783319666976
This book offers a collection of original peer-reviewed contributions presented at the 7th International Congress on Design and Modeling of Mechanical Systems (CMSM’2017), held in Hammamet, Tunisia, from the 27th to the 29th of March 2017. It reports on both research findings, innovative industrial applications and case studies concerning mechanical systems and related to modeling and analysis of materials and structures, multiphysics methods, nonlinear dynamics, fluid structure interaction and vibroacoustics, design and manufacturing engineering. Continuing on the tradition of the previous editions, this proceedings offers a broad overview on the state-of-the art in the field and a useful resource for academic and industry specialists active in the field of design and modeling of mechanical systems. CMSM’2017 was jointly organized by two leading Tunisian research laboratories: the Mechanical, Modeling and Manufacturing Laboratory of the National Engineering School of Sfax and the Mechanical Engineering Laboratory of the National Engineering School of Monastir..