Experimentation, Validation, and Uncertainty Analysis for Engineers 在線電子書 pdf 下載 txt下載 epub 下載 mobi 下載 2024


Experimentation, Validation, and Uncertainty Analysis for Engineers

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Hugh W. Coleman 作者
Wiley
譯者
2009-07-27 出版日期
336 頁數
USD 140.00 價格
Hardcover
叢書系列
9780470168882 圖書編碼

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Experimentation, Validation, and Uncertainty Analysis for Engineers 在線電子書 epub 下載 mobi 下載 pdf 下載 txt 下載 2024

Experimentation, Validation, and Uncertainty Analysis for Engineers 在線電子書 epub 下載 pdf 下載 mobi 下載 txt 下載 2024

Experimentation, Validation, and Uncertainty Analysis for Engineers 在線電子書 pdf 下載 txt下載 epub 下載 mobi 下載 2024



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哈哈,非常好的技術教材!

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哈哈,非常好的技術教材!

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哈哈,非常好的技術教材!

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哈哈,非常好的技術教材!

Experimentation, Validation, and Uncertainty Analysis for Engineers 在線電子書 著者簡介


Experimentation, Validation, and Uncertainty Analysis for Engineers 在線電子書 著者簡介


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Experimentation, Validation, and Uncertainty Analysis for Engineers 在線電子書 圖書描述

This Third Edition helps you assess and manage uncertainty at all stages of experimentation and validation of simulations In this greatly expanded Third Edition, the acclaimed Experimentation, Validation, and Uncertainty Analysis for Engineers guides readers through the concepts of experimental uncertainty analysis and the applications in validating models and simulations, solving problems experimentally, and characterizing the behavior of systems. This Third Edition presents the current, internationally accepted methodology from ISO, ANSI, and ASME standards to cover the planning, design, debugging, and execution phases of experiments. Cases in which the experimental result is determined only once or when the result is determined multiple times in a test are addressed and illustrated with examples from the authors' experience. The important practical cases in which multiple measured variables share correlated errors are discussed in detail, and strategies to take advantage of such effects in calibrations and comparative testing situations are presented. The methodology for determining uncertainty by Monte Carlo analysis is described in detail. Knowledge of the material in this Third Edition is a must for those involved in executing or managing experimental programs or validating models, codes, and simulations. Professionals and students in disciplines spanning the full range of engineering and science will find this book an essential guide.

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