Experimentation, Validation, and Uncertainty Analysis for Engineers 在线电子书 pdf 下载 txt下载 epub 下载 mobi 下载 2024

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Hugh W. Coleman 作者

Wiley

译者

2009-07-27 出版日期

336 页数

USD 140.00 价格

Hardcover

丛书系列

9780470168882 图书编码

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发表于2024-11-22

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Experimentation, Validation, and Uncertainty Analysis for Engineers 在线电子书 epub 下载 mobi 下载 pdf 下载 txt 下载 2024

Experimentation, Validation, and Uncertainty Analysis for Engineers 在线电子书 pdf 下载 txt下载 epub 下载 mobi 下载 2024

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哈哈，非常好的技术教材！

评分☆☆☆☆☆

哈哈，非常好的技术教材！

评分☆☆☆☆☆

哈哈，非常好的技术教材！

评分☆☆☆☆☆

哈哈，非常好的技术教材！

评分☆☆☆☆☆

哈哈，非常好的技术教材！

Experimentation, Validation, and Uncertainty Analysis for Engineers 在线电子书著者简介

Experimentation, Validation, and Uncertainty Analysis for Engineers 在线电子书图书目录

Experimentation, Validation, and Uncertainty Analysis for Engineers 在线电子书 pdf 下载 txt下载 epub 下载 mobi 在线电子书下载

Experimentation, Validation, and Uncertainty Analysis for Engineers 在线电子书图书描述

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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