Mathematical Models
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Mathematical Models

Jean-Michel Tanguy, Jean-Michel Tanguy

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eBook - ePub

Mathematical Models

Jean-Michel Tanguy, Jean-Michel Tanguy

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This series of five volumes proposes an integrated description of physical processes modeling used by scientific disciplines from meteorology to coastal morphodynamics. Volume 1 describes the physical processes and identifies the main measurement devices used to measure the main parameters that are indispensable to implement all these simulation tools.Volume 2 presents the different theories in an integrated approach: mathematical models as well as conceptual models, used by all disciplines to represent these processes. Volume 3 identifies the main numerical methods used in all these scientific fields to translate mathematical models into numerical tools. Volume 4 is composed of a series of case studies, dedicated to practical applications of these tools in engineering problems. To complete this presentation, volume 5 identifies and describes the modeling software in each discipline.

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Informations

Éditeur
Wiley-ISTE
Année
2012
ISBN
9781118587706
Édition
1
Sous-sujet
HidrologĂ­a

Chapter 1

Reminders on the Mechanical Properties of Fluids 1

1.1. Laws of conservation, principles and general theorems

In this chapter, we will go back over the different theorems and principles of mechanics and thermodynamics and express them through Euler’s variable using the rules defined in previous volumes for a material domain.

1.1.1. Mass conservation, continuity equation

1.1.1.1. Mass conservation

PRINCIPAL 1.1 (Figure 1.1). Mass in a material domain is conserved over the course of time.
Figure 1.1.
image
Taking D as a place for observation, noting that the material product for the mass of the domain is zero, we fully accept that the term for accumulation is balanced by the flow crossing the boundaries ∑.
We call
image
the surface effort at every point of ∑ of perpendicular angle
image
.
Note. As a rule, the perpendicular angle
image
will always be pulled toward the outside.
CLASSIFICATIONS. An integral as defined by volume is represented by ∫D φdω, a surface integral ∫D φdσ and a vector
image
.
Faithful to Liebniz’ rule, the global equation is written as follows:
image
Liebniz’ rule: if D(t) is a deformable domain we can write:
image
image
therefore represents the localized velocity of displacement for all or part of the interface (boundary or component of the boundary) for D.
We notice that on the level of a mobile surface, the local flow
image
is zero by definition as the control’s surface sets the boundaries for the domain. This signifies that even if the fluid runs over the surface with a relative velocity above zero, it will not cross the surface, where the domain D is fixed:
image
image
represents the rate of accumulation (or loss) for mass in the domain.
image
represents the flow of mass crossing the boundaries of the domain.
The conservation of mass for a domain is expressed as the void sum of a term of accumulation (or loss) of mass in the domain and as a fixed term representing flow of mass to the boundaries of the domain.
The term for flow is represented by
image
, using the following theorem.

Theorem for divergence

We will often have the need to pass between localized scripture to global scripture and vice versa. It is therefore important to be able to pass between integrals for volume and integrals for surface reciprocally. We therefore use the theorem of divergence:
image
.
This expression shows us that the integral for volume of a greater divergence is equal to the surface flow of the same size.
The pseudo-vector nabla is written as
image
It represents the gradient of the size we are considering. The point
image
represents the contracted product of two tensors (or the scalar product when applied to two vectors). The divergence is therefore equal to the scalar product of the operator nabla by the size being considered.
We can therefore consider that the divergence corresponds to the diffusion of a surface term on the inside of the liquid domain. In a more general way, every time we will meet a term for divergence in a localized equation, we will interpret it as the diffusion of an issued term from a surface action.
The theorem for divergence applies itself equally as well to vectors as to tensors:
image
A tensor is represented by
image
. It is said to be of second order if it is represented in the form of a 3 × 3 matrix. Its scalar product by a vector is a vector.
Figure 1.2.
image
EXAMPLE 1....

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