Hydrosystems Engineering Reliability Assessment and Risk Analysis

Provides technical knowledge of water systems applications with reliable analysis of water, hydrology, water resources, environment and related issues of water quality management. Basic principles of probability and statistics for analysis, frequency analysis of water, ..

Hydrosystems Engineering Reliability Assessment and Risk Analysis

Yeou - Koung Tung, Ph.D; Ben - Chie Yen, Ph.D...

McGraw Hill

2006

Abstract

This comprehensive text is the first to integrate reliability analysis and risk assessment into the planning, design, and management of hydrosystems. Written by internationally respected authorities, Hydrosystems Engineering Reliability Assessment and Risk Analysis provides the tools for designing safer, more reliable dams, storm sewer networks, water treatment plants, and pollution control systems.

Offering example problems that demonstrate the prediction of safety and reliability under different design scenarios, the authors illustrate the application of mathematical tools that quantify reliability and risk. With this book readers can improve the performance, durability (through maintenance scheduling/time to failure analysis), and predictability of hydrosystem designs.

Hydrosystems Engineering Reliability Assessment and Risk Analysis:

+ Brings together in a single resource mathematical risk and reliability analysis methods needed to improve planning, design, and performance of hydrosystems

+ Demonstrates statistical and probability tools for solving a broad range of hydrosystem engineering problems

+ Provides the tools needed to predict hydrosystem project behavior and lifespan under various risk scenarios

+ Shows engineers and students how to conduct risk and reliability assessments

+ Offers examples of each application, in both U.S. and international units

+ Provides sets of Q & A's for self-testing after every chapter

Citation

Yeou - Koung Tung, Ph.D; Ben - Chie Yen, Ph.D... Hydrosystems Engineering Reliability Assessment and Risk Analysis, McGraw Hill, 2006.

Collection

Bộ sưu tập số Công nghệ Hóa học

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