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  • © 2020

Applied Civil Engineering Risk Analysis

Authors:

  • Expands on the class-tested pedagogy from the first edition with more material and more examples;
  • Broadens understanding with simulations coded both in Matlab and in R;
  • Features new chapters on spatial variability and Bayesian methods;
  • Emphasizes techniques for estimating the influence of uncertainty on the probability of failure.

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Softcover Book USD 54.99
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Hardcover Book USD 79.99
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Table of contents (11 chapters)

  1. Front Matter

    Pages i-xi
  2. Introduction

    • Robb Eric S. Moss
    Pages 1-9
  3. Data Analysis/Sample Statistics

    • Robb Eric S. Moss
    Pages 11-22
  4. Elementary Probability and Set Theory

    • Robb Eric S. Moss
    Pages 23-40
  5. Random Variables and Probability Distributions

    • Robb Eric S. Moss
    Pages 41-60
  6. Functions of Random Variables: Error Propagation

    • Robb Eric S. Moss
    Pages 61-88
  7. Component Reliability Analysis

    • Robb Eric S. Moss
    Pages 89-107
  8. System Reliability Analysis

    • Robb Eric S. Moss
    Pages 109-122
  9. Introduction to Decision Analysis

    • Robb Eric S. Moss
    Pages 123-132
  10. Reliability-Based Codes (LRFD)

    • Robb Eric S. Moss
    Pages 133-139
  11. Spatial Variability

    • Robb Eric S. Moss
    Pages 141-151
  12. Bayesian Updating

    • Robb Eric S. Moss
    Pages 153-163
  13. Back Matter

    Pages 165-180

About this book

This updated edition retains its introduction to applied fundamental statistics, probability, reliability, and decision theory as these pertain to problems in Civil Engineering. The new edition adds an expanded treatment of systems reliability, Bayesian methods, and spatial variabililty, along with additional example problems throughout. The book provides readers with the tools needed to determine the probability of failure, and when multiplied by the consequences of failure, illustrates how to assess the risk of civil engineering problems. Presenting methods for quantifying uncertainty that exists in engineering analysis and design, with an emphasis on fostering more accurate analysis and design, the text is ideal for students and practitioners of a range of civil engineering disciplines.

  • Expands on the class-tested pedagogy from the first edition with more material and more examples;
  • Broadens understanding with simulations coded both in Matlab and inR; 
  • Features new chapters on spatial variability and Bayesian methods;
  • Emphasizes techniques for estimating the influence of uncertainty on the probability of failure

Authors and Affiliations

  • Department of Civil and Environmental Engineering, California Polytechnic State University, San Luis Obispo, USA

    Robb Eric S. Moss

About the author

Robb Eric S. Moss, Ph.D., P.E., F.ASCE, is a professor in the Civil and Environmental Engineering Department at California Polytechnic State University, San Luis Obispo, California.  He earned a Ph.D. from U.C. Berkeley in the field of geotechnical earthquake engineering, with minors in engineering seismology and structural reliability. His research and consulting focuses on the physics and probability of natural hazards such as; strong ground motions, seismic soil liquefaction, surface fault rupture, seismic induced landslides, debris flow, and others.  His teaching includes undergraduate and graduate courses in; geotechnical engineering, engineering risk analysis, geological engineering, earthquake engineering, and others.

Bibliographic Information

Buy it now

Buying options

eBook USD 39.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book USD 54.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book USD 79.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Other ways to access