Adapt bridle_lines index so that they fit with SurfPlanAdapter github

pyproject.toml

@@ -51,7 +51,6 @@ dependencies = [
   "numba",
   "screeninfo",
   "odfpy",
-  "AWETrim @ git+https://github.com/ocayon/AWETrim.git@main",
 ]
 [project.optional-dependencies]
 dev = [

src/VSM/core/BodyAerodynamics.py

@@ -1655,7 +1655,7 @@ def compute_line_aerodynamic_force(
         # TODO: test this function
         p1 = line[0]
         p2 = line[1]
-        d = line[2]
+        d = line[4]
 
         if p1[2] > p2[2]:
             p1, p2 = p2, p1

src/VSM/core/Solver.py

@@ -35,7 +35,7 @@ def __init__(
         aerodynamic_model_type: str = "VSM",
         max_iterations: int = 5000,
         allowed_error: float = 1e-6,
-        relaxation_factor: float = 0.05,
+        relaxation_factor: float = 0.01,
         core_radius_fraction: float = 0.05,  # Following Damiani et al. (2019) https://docs.nrel.gov/docs/fy19osti/72777.pdf
         gamma_loop_type: str = "base",
         gamma_initial_distribution_type: str = "zero",

src/VSM/plot_geometry_plotly.py

@@ -411,7 +411,7 @@ def add_bridle_system(fig: go.Figure, wing_aero: object, is_first: bool = True)
     elif hasattr(wing_aero, "_bridle_line_system") and wing_aero._bridle_line_system:
         # Handle basic bridle line system (backward compatibility)
         for i, bridle_line in enumerate(wing_aero._bridle_line_system):
-            p1, p2, diameter = bridle_line
+            p1, p2, _, _, diameter, _ = bridle_line
 
             # Calculate thickness based on diameter (simple scaling)
             thickness = max(2, min(12, diameter * 1000))  # Assume diameter in meters