Numerical Modeling of Water Waves in Coastal and Ocean Engineering

類似書籍推薦給您

This unique compendium introduces the field of numerical modelling of water waves. The topics included the most widely used water wave modelling approaches, presented in increasing order of complexity and categorized into phase-averaged and phase-resolving at the highest level. A comprehensive state-of-the-art review is provided for each chapter, comprising the historical development of the method, the most relevant models and their practical applications. A full description on the method's underlying assumptions and limitations are also provided. The final chapter features coupling among different models, outlining the different types of implementations, highlighting their pros and cons, and providing numerous relevant examples for full context. The useful reference text benefits professionals, researchers, academics, graduate and undergraduate students in wave mechanics in general and coastal and ocean engineering in particular. Sample Chapter(s) Foreword Chapter 1: Introduction Contents: Introduction Phase-Averaging Approaches: Spectral Wave Models Phase-Resolving Approaches: Depth-Averaged Models Potential Flow Models Navier–Stokes Models Lattice–Boltzmann Models Wave Modeling Couplings: Couplings Between Wave Models Executive Summary Readership: Researchers, professionals, academics, undergraduate and graduate students in ocean/coastal engineering and fluid mechanics.

Engineering Design Graphics: Sketching, Modeling, And Visualization, 3Rd Edition (3版)

類似書籍推薦給您

【簡介】 Providing a clear, concise treatment of the essential topics addressed in a modern engineering design graphics course, this text concentrates on teaching hand-drawing as a skill and a vital component of the design process. Unlike texts that reduce drawing

MEASURING AND MODELING BY EXAMPLES

類似書籍推薦給您

This book starts with an anthology of mathematical functions that can be useful to describe phenomena that occur in the world we see, and how their features can be adjusted by changing their parameters. Then we have a look at the art of measuring and quantifying the world, and how to do this most efficiently and precisely. The most important part is about finding the "pattern" in the measurements: a mathematical function that "fits" with the data. This can be chosen according to several criteria, and using different algorithms, for example the new "multidirectional least squares regression". The last part shows many real life examples in various fields of science: experiments and their analyses. Request Inspection Copy Sample Chapter(s) Preface Introduction Contents: About the Author Preface Introduction Some Useful Functions to Describe the World: Functions and Their Linear Transformations Polynomials Power Functions Homographic Functions Other Rational Functions Exponential Functions Logarithmic Functions Sigmoid-Like Functions Peak-Shaped Functions Periodic and Semiperiodic Functions Miscellaneous Functions Harvesting Data: Measurement Uncertainties Resolution Versus Accuracy "Difficult" Quantities Disturbance by Measurements Error Propagation Minimizing Errors Finding the Pattern: Some Rudimentary Tools Regression Analysis — What is It? Going Toward the Best Fit Regression Analysis — Use It Wisely Judging the Model Case Studies: Physics, Chemistry, Engineering Geography, Climate etc. Life Sciences Psychology etc. Economy etc. Index Readership: High school and college students who has the basics of calculus and statistics. Teachers and researchers who need inspiration and a new view on some old problems. Engineers and anyone who needs models for prediction, calibration and hypothesis testing.