Maria Bayard Dühring - Solid Mechanics
Maria Bayard Dühring - Solid Mechanics
Maria Bayard Dühring - Solid Mechanics
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two air holes, is Λ = 3.1 µm, the hole diameter over the pitch ratio is d/Λ = 0.92 and the diameter<br />
is d = 2.852 µm. The radius of the air core in the center is R = Λ. The core region Ωc where the<br />
objective function is optimized has the radius 0.5R, and the design domain Ωd is defined by the area<br />
between the two half circles with radius equal to 0.5R and 1.5R, respectively. The half circle at the<br />
center where the source is applied is equal to 0.05R. The maximum element size is 0.1 µm in Ωd<br />
and 0.8 µm in the rest of the domain. The refractive indexes for the chosen wavelength are na = 1<br />
for air and ns = 1.43791 + 0.0001i for silica, where the imaginary part in ns causes absorption and<br />
is denoted as the absorbing coefficient αs. Before the optimization, a band-gap check is performed<br />
with the commercial program BandSolve, see [31]. The band diagram is calculated for the periodic<br />
structure with k0Λ as function of k3Λ, where k3 is the propagation constant in the x3-direction. The<br />
point (k3Λ, k0Λ) = (9.5127, 9.73894) for the fundamental mode was shown to be in the calculated<br />
band gap. The wave equation (2) is then solved as an eigenvalue problem with the absorption<br />
coefficient αs equal to zero and the propagating constant β for the guided mode is found, which is<br />
used together with the fixed value of k0 = 2π/λ0 to solve the model by employing the forcing term.<br />
3.1 Study of the optimized design<br />
The optimization is performed with the filter radius r = 0.15 µm, a move limit equal to 0.05 for<br />
the maximum change in the design variables in each iteration step and the absolute tolerance 0.01<br />
to terminate the optimization. The continuation method for the damping is applied such that αs<br />
is equal to 1 when the optimization starts and is reduced by a factor 10 after 100 iterations or<br />
if the tolerance is satisfied. This is repeated until αs reaches the value 0.0001. Introducing the<br />
damping lowers and widens the peak at resonance as seen on figure 2 where log(Φ/Φinit) is plotted<br />
as function of λ0 for increasing αs. Φinit is the value of the objective function for the initial design.<br />
The resonance is kept at the original wavelength λ0 = 2 µm for the low values of αs, but is slightly<br />
shifted to higher wavelengths for the two highest values of αs such that the optimization starts<br />
away from resonance. The optimized design is found in 316 iterations and the objective function<br />
Φ is increased 375% compared to the initial design. In figure 2, log(Φ/Φinit) as function of λ0 is<br />
compared for the initial and the optimized design. The wavelength at resonance is the same before<br />
and after the optimization and the peak value has increased for the optimized design. In figure 3(a)<br />
and 3(b) the initial and optimized design are plotted, respectively, and the distribution of the energy<br />
measure from the objective function normalized with the maximal value for the initial design, Φmax,<br />
is indicated with the contour lines. The optimized design is close to a 0-1 design and all parts are<br />
log(Φ/Φ init ) [−]<br />
1<br />
0<br />
−1<br />
−2<br />
−3<br />
−4<br />
−5<br />
−6<br />
optimized design, α s =0.0001<br />
initial design, α s =0.0001<br />
initial design, α s =0.001<br />
initial design, α s =0.01<br />
initial design, α s =0.1<br />
initial design, α s =1.0<br />
−7<br />
1.99 1.995 2<br />
wavelength, λ [μm]<br />
0<br />
2.005 2.01<br />
Figure 2: The logarithm to the normalized objective function Φ/Φinit as function of the optical<br />
wavelength λ0 is indicated both for the initial design with different values of the absorption coefficient<br />
αs and for the optimized design with αs = 0.0001.<br />
6