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Titlebook: High Temperature Component Life Assessment; G. A. Webster,R. A. Ainsworth Book 1994 Springer Science+Business Media Dordrecht 1994 deforma

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發(fā)表于 2025-3-21 18:41:42 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
書目名稱High Temperature Component Life Assessment
編輯G. A. Webster,R. A. Ainsworth
視頻videohttp://file.papertrans.cn/427/426519/426519.mp4
圖書封面Titlebook: High Temperature Component Life Assessment;  G. A. Webster,R. A. Ainsworth Book 1994 Springer Science+Business Media Dordrecht 1994 deforma
描述The aim of this book is to investigate and explain the rapidadvances in the characterization of high temperature crack growthbehaviourwhich have been made in recent years, with reference toindustrialapplications. Complicated mathematics has been minimizedwith theemphasis placed instead on finding solutions usingsimplifiedprocedures without the need for complex numericalanalysis.
出版日期Book 1994
關(guān)鍵詞deformation; fatigue; fracture; growth; mathematics; stress; temperature
版次1
doihttps://doi.org/10.1007/978-94-017-1771-7
isbn_softcover978-90-481-4012-1
isbn_ebook978-94-017-1771-7
copyrightSpringer Science+Business Media Dordrecht 1994
The information of publication is updating

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ce, Linda Kreger-Silverman, Dorothy Sisk, Gillian Eriksson,Miraca Gross, Gilbert Clark, Enid Zimmerman,andRachel McAnallen.Hava E. Vidergor Ph.D. is lecturer of innovative pedagogy and curriculum design at Gordon Academic College and Arab Academic College of Education and holds a Ph.D. in Learning,
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G. A. Webster,R. A. Ainsworthk’s R package..This text is intended for a broad audience as both an introduction to predictive models as well as a guide to applying them. Non-mathematical readers will appreciate the intuitive explanations of the techniques while an emphasis on problem-solving with real data across a wide variety
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G. A. Webster,R. A. Ainsworthational to the remaining parts of the book. Core to model tuning are appropriate ways for splitting (or spending) the data, which is covered in Section 4.3. Resampling techniques (Section 4.4) are an alternative or complementary approach to data splitting. Recommendations for approaches to data spli
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G. A. Webster,R. A. Ainsworthational to the remaining parts of the book. Core to model tuning are appropriate ways for splitting (or spending) the data, which is covered in Section 4.3. Resampling techniques (Section 4.4) are an alternative or complementary approach to data splitting. Recommendations for approaches to data spli
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misses most of the interesting applications, and many applied scientists rebel against the onslaught of technicalities. In the current book, I endeavor to achieve a balance between theory and app- cations in a rather short compass. While the combination of brevity apd balance sacrifices many of the
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