2D SEEPAGE AND FLOW NETS
Introduction to Multi-Dimensional Seepage
Previously, seepage analysis focused on 1D space, meaning water flow was either solely horizontal or vertical.
In real-world geotechnical problems, water often flows in two or three dimensions, moving at an angle, necessitating 2D analysis.
The aim is to characterize this multi-directional seepage and apply it to geotechnical design problems.
Concept of Flow Net Construction
Definition: A graphical representation used to solve 2D seepage problems.
Applications of Flow Nets:
Calculating flow rate (Q).
Determining stresses at any point within the soil domain.
Calculating water pressures acting on structures (e.g., uplift pressure under a dam, pressures on a sheet pile) for structural design.
Assessing the risk of piping erosion and developing mitigation strategies.
Learning Objectives
Explain the effects of seepage through soil deposits in a 2D space.
Use 2D seepage concepts to describe stresses within the soil.
Recommended Resource
Textbook: "Courageous Soil Mechanics: An Introduction to Geotechnical Engineering" by Holsenko Bags.
Understanding 2D Seepage Scenarios
Practical Examples: Water flow around dams, sheet piles, or temporary structures like cofferdams (e.g., for bridge pier construction).
Water always moves from an area of higher total head to an area of lower total head.
In 2D, velocity vectors are angled, unlike the purely horizontal or vertical vectors in 1D problems.
Simplification: Complex 3D problems are often simplified to 2D by assuming plane strain/strength conditions, where the problem extends infinitely in the third dimension, allowing analysis of a single 2D slice.
Derivation of Laplace's Equation for 2D Seepage
Approach: Analyze the flow through an infinitesimal soil element with dimensions dx (horizontal), dy (vertical), and a unit thickness (e.g., 1 ext{ m}) into the page.
Velocity Components: The discharge velocity vector (V) entering the element is split into horizontal (vx) and vertical (vy) components.
Continuity Equation (Conservation of Mass):
Assumptions: Water is incompressible, no volume change in the soil, and the soil is fully saturated.
The total flow rate entering the element must equal the total flow rate exiting the element (Q{in} = Q{out}).
Flow rate entering in x-direction: Q{x,in} = vx imes (dy imes 1).
Flow rate entering in y-direction: Q{y,in} = vy imes (dx imes 1).
As water flows through the element, velocities change. The outflow velocities include these changes:
vx + rac{ ext{d}vx}{ ext{d}x}dx in the x-direction.
vy + rac{ ext{d}vy}{ ext{d}y}dy in the y-direction.
Equating inflow and outflow rates and simplifying (assuming dx imes dy
eq 0) leads to:
rac{ ext{d}vx}{ ext{d}x} + rac{ ext{d}vy}{ ext{d}y} = 0
Incorporating Darcy's Law (v = k imes i):
The hydraulic gradient (i) is the change in total head (H) over a distance.
vx = kx imes rac{ ext{d}H}{ ext{d}x}.
vy = ky imes rac{ ext{d}H}{ ext{d}y}.
Substituting these into the continuity equation results in:
rac{ ext{d}}{ ext{d}x} (kx rac{ ext{d}H}{ ext{d}x}) + rac{ ext{d}}{ ext{d}y} (ky rac{ ext{d}H}{ ext{d}y}) = 0
Assumption of Isotropic Conditions:
Assuming the coefficient of permeability is the same in all directions: kx = ky = k.
Since k
eq 0, it can be factored out, leading to Laplace's Equation:
rac{ ext{d}^2H}{ ext{d}x^2} + rac{ ext{d}^2H}{ ext{d}y^2} = 0This equation is fundamental in various fields, including heat transfer.
Solving Laplace's Equation
Purpose: The primary goal is to determine the total head (H) at any point (x, y) within the seepage domain. Once H is known, all other seepage parameters can be derived.
Complementary Functions: Laplace's equation is satisfied by two sets of functions that describe seepage:
Potential Functions (Equipotential Lines): Curves along which the total head (H) is constant.
Flow Functions (Flow Lines): Curves representing the actual paths of water flow.
These two families of curves are orthogonal (intersect at right angles) at any point.
Methods for Solving Seepage Problems (Satisfying Laplace's Equation)
1. Mathematical Closed-Form Solutions: Requires defining boundary and initial conditions to derive an exact mathematical expression. (Generally beyond the scope of this course).
2. Physical Models: Using scaled models to simulate the problem and measure parameters. (Can be impractical).
3. Numerical Methods: Techniques like Finite Element Method (FEM) or Finite Difference Method (FDM), which are computational approaches. (Introduced in later courses).
4. Graphical Methods (Hand Sketching): Drawing a network of lines (flow net) based on specific rules. This is the primary method taught for this topic.
While hand sketching can be an