Challenge

Week - 2 - Explicit and Implicit Analysis

Explicit Analysis:

Explicit analysis is used to non-linear type of analysis and can be calculated with relative ease. Since small time steps are necessary for such an analysis which results in good accuracy it is mostly used for dynamic analysis.

Equation: F(u) = u^3+9u^2+4x

Solution:

K(u) = dF/du = 3u^2+18u+4

WKT, ∆F = k∆u

  • U1 = 0.0 -> k(u0) = 1, ∆F = 1

K(u0) = 0+0+4 = 4

∆u1 = ∆F/k(u0) = ¼ = 0.25

U1 = u0 + ∆u1 = 0 + 0.25 = 0.25

  • U1 = 0.25

K(u1) = 3*(0.25)^2 + 18(0.25) + 4 = 8.6875

∆F = 1

∆u2 = ∆F/k(u1) = 1/8.6875 = 0.1151

U2 = u1 + ∆u2 = 0.3651

  • U2 = 0.3651

K(u2) = 3*(0.3651)^2 + 18(0.3651) + 4 = 10.9716

∆F = 1

∆u3 = ∆F/k(u2) = 1/10.9761 = 0.09114

U3 = u2 + ∆u3 = 0.45625

F_ext = ∆F + ∆F + ∆F = 3.0

F_int = (0.45624)^2 + 9*(0.4562)^2 + 4*(0.4562) = 3.79

Therefore, F_ext ≠ F_int

Step i

∆Fi

∆ui

Ui

F_exti

F_inti

R = F_inti-F_exti

1

1

0.25

0.25

1

1.528

0.578

2

1

0.1131

0.3651

2

2.708

0.708

3

1

0.09114

0.45624

3

3.891

0.841

Force vs. Displacement:

Implicit Analysis:

The implicit analysis uses the Newton_rhapson method in order to perform iterations to reach the tolerance limit and hit equilibrium. This process on a computer utilizes matrix inversion and hence is computationally expensive when compared to explicit type analysis. They also do not have a time-step size and hence can be several times larger than what is used for explicit analysis.

Equation: F9u) = u^3 + 9u^2+4u ---(1)

Stiffness: K(u) = dF/du = 3u^2 + 18u+4 ----(2)

Tolerance: 10^-2

Step 1:

U0 = 0, eqn. 2 becomes: k(u0) = 3(0)^2 + 18(0) +4 = 4

∆u1 = ∆F/k(u0) = ¼ = 0.25

U1 = u0=∆u1 = 0+0.25 = 0.5

Check residual, F_ext = ∆F = 1; f_int = (0.25)^3+9(0.25)^2+4(0.25) = 1.578

R(0) = f_int – F_ext = 1.578 -1 = 0.578 > 10^-2

Tolerance requirements not met.

Newton-Rhapson iteration necessary.

Calculating correction to u1 = u1(0):

∂u(1) = -[ku1(0)]^-1 * R_0 = [3(0.25)^3+18(0.25)^2+4]^-1*0.578 = -0.0665

Updated value u1(1) = u1^(0) + ∂u^(1) = 0.25 – 0.665 = 0.1835

Check residual again,

F_ext= 1; f_int = (0.1835)^3+9(0.1835)^2+4(0.1835) = 1.0438

R(1) = f_int – F_ext = 1.0432 – 1 = 0.0432 >10^-2

Another iteration needed.

Calculating correct to u1 = u1(1)

∂u(2) = ∂u(1) – [ku1(1)]^-1 * R1 = [-0.0665 – 8.6875]^-1 * 0.0432 = -0.0714

U1(2) = u1(1) + ∂u(2) = 0.25 – 0.0714 = 0.1786

Check residual – R2:

F_est = 1, f_int = (0.1786)^3 + 9(0.1786)^2 + 4(0.1786) = 1.0071

R2 = 1.0071 -1 = 0.0071 <10^-2

Therefore, u1 = 0.1786

Similarly,

U2 = 0.2966

U3 = 0.3911

Step i

∆Fi

∆ui

Ui

F_exti

F_inti

R = F_inti-F_exti

1

1

0.25

0.1786

1

1.0071

0.0071

2

1

0.1374

0.2966

2

2.0042

0.0042

3

1

0.1041

0.3911

3

3.0008

0.0008

Force vs. Displacement:

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