Mechanical Reliability: Prediction and Management Under Extreme Load Conditions
The volume describes the main theoretical propositions of the methodology to predict mechanical reliability under conditions of repeated exposure to random extreme loads. The mechanical load process is considered to be a form of a discrete sequence of loads occurring at times that form a random flow. The authors present solved problems of reliability prediction of elements having deterministic or random bearing capacity. A method for the probabilistic justification of safety factors is also developed in the book, providing a predetermined level of reliability of elements and systems for sudden failures during design. It considers the methods of prediction and managing reliability under conditions of using safety devices. The main theoretical results are presented in a form available for practical engineering applications. The book can be used by researchers and as a manual by teachers and graduate students of higher technical educational institutions.

 


1136274186
Mechanical Reliability: Prediction and Management Under Extreme Load Conditions
The volume describes the main theoretical propositions of the methodology to predict mechanical reliability under conditions of repeated exposure to random extreme loads. The mechanical load process is considered to be a form of a discrete sequence of loads occurring at times that form a random flow. The authors present solved problems of reliability prediction of elements having deterministic or random bearing capacity. A method for the probabilistic justification of safety factors is also developed in the book, providing a predetermined level of reliability of elements and systems for sudden failures during design. It considers the methods of prediction and managing reliability under conditions of using safety devices. The main theoretical results are presented in a form available for practical engineering applications. The book can be used by researchers and as a manual by teachers and graduate students of higher technical educational institutions.

 


74.49 In Stock
Mechanical Reliability: Prediction and Management Under Extreme Load Conditions

Mechanical Reliability: Prediction and Management Under Extreme Load Conditions

Mechanical Reliability: Prediction and Management Under Extreme Load Conditions

Mechanical Reliability: Prediction and Management Under Extreme Load Conditions

eBook1st ed. 2020 (1st ed. 2020)

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Overview

The volume describes the main theoretical propositions of the methodology to predict mechanical reliability under conditions of repeated exposure to random extreme loads. The mechanical load process is considered to be a form of a discrete sequence of loads occurring at times that form a random flow. The authors present solved problems of reliability prediction of elements having deterministic or random bearing capacity. A method for the probabilistic justification of safety factors is also developed in the book, providing a predetermined level of reliability of elements and systems for sudden failures during design. It considers the methods of prediction and managing reliability under conditions of using safety devices. The main theoretical results are presented in a form available for practical engineering applications. The book can be used by researchers and as a manual by teachers and graduate students of higher technical educational institutions.

 



Product Details

ISBN-13: 9783030415648
Publisher: Springer-Verlag New York, LLC
Publication date: 03/16/2020
Sold by: Barnes & Noble
Format: eBook
File size: 6 MB

About the Author

Oleksandr Grinchenko is a Professor at Kharkiv Petro Vasylenko National Technical University of Agriculture in Ukraine. Oleksiy Alfyorovis Assisting Dean at Kharkiv Petro Vasylenko National Technical University of Agriculture in Ukraine.

Table of Contents

Introduction.- Reliability of elements with random bearing capacity.- Management of elements reliability.- Prediction of system reliability .- Prediction and management of reliability under conditions of using safety devices.- Appendixes.
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