Data Analysis in Pavement Engineering
eBook - ePub

Data Analysis in Pavement Engineering

Methodologies and Applications

  1. 205 pages
  2. English
  3. ePUB (mobile friendly)
  4. Available on iOS & Android
eBook - ePub

Data Analysis in Pavement Engineering

Methodologies and Applications

About this book

Data Analysis in Pavement Engineering: Theory and Methodology offers a complete introduction to the basis of the finite element method, covering fundamental theory and worked examples in the detail required for readers to apply the knowledge to their own engineering problems and understand more advanced applications. This edition sees the significant addition of content addressing coupling problems, including Finite element analysis formulations for coupled problems; Details of algorithms for solving coupled problems; and Examples showing how algorithms can be used to solve for piezoelectricity and poroelasticity problems. Focusing on the core knowledge, mathematical and analytical tools needed for successful application, this book represents the authoritative resource of choice for graduate-level students, researchers and professional engineers involved in finite element-based engineering analysis. - This book is the first comprehensive resource to cover all potential scenarios of data analysis in pavement and transportation infrastructure research, including areas such as materials testing, performance modeling, distress detection, and pavement evaluation. - It provides coverage of significance tests, design of experiments, data mining, data modeling, and supervised and unsupervised machine learning techniques. - It summarizes the latest research in data analysis within pavement engineering, encompassing over 300 research papers. - It delves into the fundamental concepts, elements, and parameters of data analysis, empowering pavement engineers to undertake tasks typically reserved for statisticians and data scientists. - The book presents 21 step-by-step case studies, showcasing the application of the data analysis method to address various problems in pavement engineering and draw meaningful conclusions.

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Yes, you can access Data Analysis in Pavement Engineering by Qiao Dong,Xueqin Chen,Baoshan Huang in PDF and/or ePUB format, as well as other popular books in Technology & Engineering & Civil Engineering. We have over one million books available in our catalogue for you to explore.

Table of contents

  1. Data Analysis in Pavement Engineering
  2. Chapter 1 Pavement performance data
  3. Chapter 2 Fundamentals of statistics
  4. Chapter 3 Design of experiments
  5. Chapter 4 Regression
  6. Chapter 5 Logistic regression
  7. Chapter 6 Count data models
  8. Chapter 7 Survival analysis
  9. Chapter 8 Time series
  10. Chapter 9 Stochastic process
  11. Chapter 10 Decision trees and ensemble learning
  12. Chapter 11 Neural networks
  13. Chapter 12 Support vector machine and k-nearest neighbors
  14. Chapter 13 Principal component analysis
  15. Chapter 14 Factor analysis
  16. Chapter 15 Cluster analysis
  17. Chapter 16 Discriminant analysis
  18. Chapter 17 Structural equation model
  19. Chapter 18 Markov chain Monte Carlo
  20. Index