Non-Gaussian Random Vibration Fatigue Analysis and Accelerated Test (Hardcover, 1st ed. 2022)

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This book discusses the theory, method and application of non-Gaussian random vibration fatigue analysis and test. The main contents include statistical analysis method of non-Gaussian random vibration, modeling and simulation of non-Gaussian/non-stationary random vibration, response analysis under non-Gaussian base excitation, non-Gaussian random vibration fatigue life analysis, fatigue reliability evaluation of structural components under Gaussian/non-Gaussian random loadings, non-Gaussian random vibration accelerated test method and application cases. From this book, the readers can not only learn how to reproduce the non-Gaussian vibration environment actually experienced by the product, but also know how to evaluate the fatigue life and reliability of the structure under non-Gaussian random excitation.

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Product Description

This book discusses the theory, method and application of non-Gaussian random vibration fatigue analysis and test. The main contents include statistical analysis method of non-Gaussian random vibration, modeling and simulation of non-Gaussian/non-stationary random vibration, response analysis under non-Gaussian base excitation, non-Gaussian random vibration fatigue life analysis, fatigue reliability evaluation of structural components under Gaussian/non-Gaussian random loadings, non-Gaussian random vibration accelerated test method and application cases. From this book, the readers can not only learn how to reproduce the non-Gaussian vibration environment actually experienced by the product, but also know how to evaluate the fatigue life and reliability of the structure under non-Gaussian random excitation.

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Product Details

General

Imprint

Springer Verlag, Singapore

Country of origin

Singapore

Release date

September 2021

Availability

Expected to ship within 12 - 17 working days

First published

2022

Authors

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Translators

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Dimensions

235 x 155mm (L x W)

Format

Hardcover

Pages

167

Edition

1st ed. 2022

ISBN-13

978-981-16-3693-6

Barcode

9789811636936

Languages

value

Subtitles

value

Categories

LSN

981-16-3693-1



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