Statistical Analysis for Civil Engineers

Mathematical Theory and Applied Experiment Design

Häftad, Engelska, 2024

AvHussam K. Risan,Adel A. Al-Azzawi,Faiq M.S. Al-Zwainy,Adel A. Al‐Azzawi,Iraq) Risan, Hussam K., PhD (Professor, Dept. of Civil Engineering, College of Engineering, Al-Nahrain University, Baghdad,Iraq) Al-Azzawi, Adel A., PhD (Professor, Dept. of Civil Engineering, College of Engineering, Al-Nahrain University, Baghdad,Iraq) Al-Zwainy, Faiq M.S., PhD (Professor, Dept. of Civil Engineering, College of Engineering, Al-Nahrain University, Baghdad,Adel A. Al‐azzawi,Hussam K Risan,Al&,Faiq M S Al-Zwainy

2 919 kr

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Statistical Analysis for Civil Engineers: Mathematical Theory and Applied Experiment Design is a well-researched and topically organized reference book that guides its readers, both in academia and industry, to recognize how to describe unpredictable events in a quantitative way and to learn how these events can be incorporated into practical engineering analysis that facilitates data-driven problem solving and optimization-based decision-making.

Written by experts in the field with a proven track record as educators and practicing consultancy specialists, this book has been developed in such a manner that it advances understanding of the mathematical theory underlying analytical methodology gradually. It also supports practical application through relevant worked examples in a variety of civil engineering branches, notably structural, materials, transportation, and geotechnical engineering. Through all stages of data analysis, numerical modeling and simulation, and implementation, the volume emphasizes the need to change the current perception with respect to the use of modern statistical techniques in the scientific as well as practical spheres of civil engineering.

Describes and applies numerical modeling for various civil engineering disciplines
Uses MINITAB as a programming language to help readers analyze the results of the worked examples included
Features exercises at the end of each chapter to evaluate acquired knowledge

Produktinformation

Utgivningsdatum2024-09-09
Mått152 x 229 x 22 mm
Vikt1 000 g
FormatHäftad
SpråkEngelska
SerieWoodhead Publishing Series in Civil and Structural Engineering
Antal sidor434
FörlagElsevier Science
ISBN9780443273629

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Dr. Risan received his PhD from Al-Nahrain University (Iraq) in 2013 and has been an Assistant Professor at the same institution since 2015. He teaches several courses for undergraduate and postgraduate programs in the fields of structural engineering, design of civil engineering experiments, and construction project management. He actively participates as a reviewer for many scientific journals and his research activity focuses on structural analysis, structural dynamics, structural stability, finite element modeling, and various civil engineering technologies. Prof. Al-Azzawi has been teaching at Al-Nahrain University (Iraq) for over 25 years, both for undergraduate and postgraduate programs in the fields of structural engineering, geotechnical engineering, applied statistics, and construction project management. He is an active editor and reviewer for many scientific journals and has received local recognition awards for his publications. The research areas he focuses on are structural analysis and computational structural mechanics. Prof. Al-Zwainy received his PhD from Baghdad University (Iraq) in 2009. After a stint as an independent consultant in industry, when he worked on projects with local government as well as international firms, he has since held academic positions both at ISRA University (Jordan) and Al-Nahrain University (Iraq). He teaches courses for undergraduate and postgraduate programs in the fields of applied statistics and construction project management. He is an active editor and reviewer for the KSCE Journal of Civil Engineering (Springer) and the International Journal of Engineering Sciences and Research Technology (IJESRT, open access); he is also a member of the editorial board of Civil Engineering and Urban Planning: An International Journal (AIRCC Publishing Corporation) and a member of the Project Management Institute.

1. Random variables and discrete probability distributions2. Continuous and normal probability distributions with data representation3. Central limit theorem and confidence interval4. T-, Chi-square, and F-distributions and hypothesis testing5. Analysis of experiments for civil engineers involving single factor6. Correlation: simple, and multiple regression analysis7. Meta-analysis in civil engineering8. Introduction to Monte Carlo simulation in civil engineering

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