Engineering Modelling and Analysis

ISBN-13: 9780415469623 / Angielski / Miękka / 2008 / 424 str.

Martin Lambert;Andrew Metcalfe;David Walker

Opis

Introducing engineering students to numerical analysis and computing, this book covers a range of topics suitable for the first three years of a four year undergraduate engineering degree. The teaching of computing to engineers is hampered by the lack of suitable problems for the students to tackle so much effort has gone into making the problems realistic and relevant while at the same time solvable for undergraduates.

Taking a balanced approach to teaching computing and computer methods at the same time, this book satisfies the need to be able to use computers (using both formal languages such as Fortran and also other applications such as Matlab and Microsoft Excel), and the need to be able to solve realistic engineering problems.

Spis treści

1 Introduction to Engineering Modelling and Analysis

2 Introduction to Computing Tools – Fortran, Pascal, Basic, and C

3 Introduction to Computing Tools – Spreadsheets

4 Introduction to Computing Tools – Matlab

5 Fortran 90/95 – Basic Concepts, Input and Output

6 Fortran 90/95 – Control Structures and Data Storage

7 Fortran 90/95 – Common Tasks

8 Roots of Equations – Introduction

9 Roots of Equations – Bracket Methods

10 Roots of Equations – Open Methods

11 Numerical Integration – Trapezoidal Rule

12 Numerical Integration – Simpson’s Rules

13 Numerical Interpolation – Newton’s Method

14 Numerical Interpolation – Polynomial Methods

15 Numerical Interpolation – Splines

16 Systems of Linear Equations – Introduction

17 Systems of Linear Equations – Gauss-Jordan and Gauss-Seidel Methods

18 Systems of Linear Equations – Thomas Algorithm

19 Numerical Solution of Ordinary Differential Equations – Introduction

20 Numerical Solution of Ordinary Differential Equations – Euler and Runge-Kutta Methods

21 Finite Difference Modelling – Introduction

22 Finite Difference Modelling – LaPlace’s Equation Solutions

23 Finite Difference Modelling – Solution of Pure Convection

24 Finite Difference Modelling – Solution of Pure Diffusion

25 Finite Difference Modelling – Solution of Transport Equation

26 Finite Difference Modelling – Alternate Schemes

27 Probability Distributions – Introduction

28 Probability Distributions – The Normal and Lognormal Distributions

29 Probability Distributions – The Binomial Distribution and Return Periods

30 Probability Distributions – The Poisson Distribution

31 Probability Distributions – Testing Distributions using Probability Paper

32 Probability Distributions – Testing Distributions using Chi² Test

33 Random Numbers – Theory and Generation

34 Monte Carlo – Introduction

35 Monte Carlo – Applications

36 Resonance

37 Spectral Analysis – Basic Concepts

38 Spectral Analysis – Discrete Fourier Transform

39 Spectral Analysis – Application of the Fast Fourier Transform

40 Spectral Analysis – Practical Aspects of Data Collection and Analysis

41 Linear Regression and Correlation

42 Parameter Estimation

43 Assorted Topics – The Error Function

44 Assorted Topics – Taylor Series

45 Assorted Topics – Complex Representation of Periodic Functions

46 Solutions to Selected Problems

O autorze

David Walker, Michael Leonard and Martin Lambert are in the School of Civil, Environmental and Mining Engineering, and Andrew Metcalfe is in the School of Mathematical Sciences, all at the University of Adelaide, Australia. They are all active in teaching and research and the content of the book reflects a strong belief that the one should complement the other.