Numerical Simulation, An Art of Prediction, Volume 2

Numerical Simulation, An Art of Prediction, Volume 2
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Описание книги

Numerical simulation is a technique of major importance in various technical and scientific fields. Whilst engineering curricula now include training courses dedicated to it, numerical simulation is still not well-known in some economic sectors, and even less so among the general public. Simulation involves the mathematical modeling of the real world, coupled with the computing power offered by modern technology. Designed to perform virtual experiments, digital simulation can be considered as an «art of prediction». Embellished with a rich iconography and based on the testimony of researchers and engineers, this book shines a light on this little-known art. It is the second of two volumes and gives examples of the uses of numerical simulation in various scientific and technical fields: agriculture, industry, Earth and universe sciences, meteorology and climate studies, energy, biomechanics and human and social sciences.

Оглавление

Jean-François Sigrist. Numerical Simulation, An Art of Prediction, Volume 2

Table of Contents

List of Tables

List of Illustrations

Guide

Pages

Numerical Simulation, An Art of Prediction 2. Examples

Foreword. Forms of Citizen Knowledge

Introduction. A Technology at the Service of Humans

1. Agriculture

1.1. Feeding the world

1.2. Agriculture is being digitized

1.3. Decision-making support

1.4. Environmental impact

Box 1.1. Physicochemical equations

1.5. Plant growth

2. Air and Maritime Transport

2.1. The long march of globalization

2.2. Going digital!

Box 2.1. Navier–Stokes equations

2.3. Optimum design and production. 2.3.1. Lightening the structures

2.3.2. Mastering processes

2.3.3. Producing in the digital age. 2.3.3.1. Factory of the future

2.3.3.2. Additive manufacturing

2.4. Improving performance. 2.4.1. Increasing seaworthiness

2.4.2. Limiting noise pollution

2.4.3. Protecting from corrosion

2.4.4. Reducing energy consumption

Box 2.2. Fluid/structure interactions

3. The Universe and the Earth

3.1. Astrophysics

3.1.1. Telling the story of the Universe

Box 3.1. Newton’s equation

3.1.2. Observing the formation of celestial bodies

3.1.3. Predicting the mass of stars

3.2. Geophysics

3.2.1. Earthquakes

3.2.2. Tsunamis

3.2.3. Eruptions

4. The Atmosphere and the Oceans

4.1. Meteorological phenomena, climate change

4.2. Atmosphere and meteorology

4.2.1. Global and local model

4.2.2. Scale descent

4.3. Oceans and climate

4.3.1. Marine currents

Box 4.1. Using models and current data

4.3.2. Climate

Box 4.2. Modeling the influence of clouds more accurately

5. Energies

5.1. The technical dream

5.2. Combustion

5.3. Nuclear energy

5.3.1. Dual-use energy

5.3.2. At the heart of nuclear fission

5.3.2.1. Neutronics

5.3.2.2. Thermohydraulics

5.3.3. Developing nuclear fusion

5.4. New energies

5.4.1. Hydroelectricity

5.4.2. Wind energy

6. The Human Body

6.1. A digital medicine

6.2. Medical data

6.2.1. Medical imaging

6.2.2. Genetic information

6.3. Mechanical behavior of muscles and organs

6.4. Blood circulation

6.4.1. Blood microcapsules

6.4.2. Angioplasty simulation

Box 6.1. Fluid-structure interaction at the heart of biomechanics

6.5. Cosmetics

6.6. Neurosciences

7. Individuals and Society

7.1. Calculated choices

7.2. A question of style

7.2.1. Assigning a work to its author

7.2.2. Understanding a pictorial technique

7.2.3. Discovering a personality type

7.3. The shape of a city

7.3.1. Transport

7.3.2. Sound atmosphere

7.3.3. Businesses

7.4. A question of choice

7.5. What about humans?

Conclusion. A Digital World

Glossary of Terms. Organizations cited

Abbreviations

Technical terms

References. Books and articles

Filmography

Index

A

B

C

D

E

F

G

H, I

J, K

L

M

N

O

P

R

S

T

U, V

W, X, Y

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Отрывок из книги

To Marie, Julie, Louise and Claire, To Emil and Léonard, children of the 21st Century

.....

More than 20 years ago, this mode of production was not understood. At the beginning of the 2000s, it became a guarantee of quality and consumers were not mistaken, meeting the offer proposed by the two brothers and by other producers in their region. Their bet proved to be a win–win situation for all.

Models developed by researchers in digital agriculture can support the decision and transition required by such reconversions (Figure 1.11). Hélène Raynal explains:

.....

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