Download scripts/optimize_deepwater_container_bundle.py from monish133/subsea-compute-open-artifacts: direct link, hf CLI and curl.
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7.12 kB
| """Optimize deep-water container-format subsea concepts. | |
| The concept space here is intentionally limited to designs that preserve an ISO-like | |
| external handling frame while using multiple internal rounded pressure tubes. | |
| This is a screening optimizer, not certifiable FEA. | |
| """ | |
| from __future__ import annotations | |
| import argparse | |
| import json | |
| import math | |
| from pathlib import Path | |
| import pandas as pd | |
| from simulate_subsea_container import ( | |
| G, | |
| RHO_SEAWATER, | |
| default_material, | |
| hydrostatic_pressure, | |
| required_cylinder_thickness, | |
| ) | |
| ISO_LENGTH = 12.192 | |
| ISO_WIDTH = 2.438 | |
| ISO_HEIGHT = 2.591 | |
| def tube_volume(radius_m: float, cyl_length_m: float) -> float: | |
| return math.pi * radius_m**2 * cyl_length_m + 4.0 / 3.0 * math.pi * radius_m**3 | |
| def tube_area(radius_m: float, cyl_length_m: float) -> float: | |
| return 2.0 * math.pi * radius_m * cyl_length_m + 4.0 * math.pi * radius_m**2 | |
| def shell_mass_kg(count: int, radius_m: float, cyl_length_m: float, shell_thickness_m: float, density_kg_m3: float) -> float: | |
| return count * tube_area(radius_m, cyl_length_m) * shell_thickness_m * density_kg_m3 | |
| def bundle_fits(layout: str, diameter_m: float, clearance_m: float) -> bool: | |
| if layout == "single": | |
| return diameter_m + 2 * clearance_m <= min(ISO_WIDTH, ISO_HEIGHT) | |
| if layout == "twin": | |
| return 2 * diameter_m + 3 * clearance_m <= ISO_WIDTH and diameter_m + 2 * clearance_m <= ISO_HEIGHT | |
| if layout == "quad": | |
| return 2 * diameter_m + 3 * clearance_m <= ISO_WIDTH and 2 * diameter_m + 3 * clearance_m <= ISO_HEIGHT | |
| raise ValueError(layout) | |
| def tube_count(layout: str) -> int: | |
| return {"single": 1, "twin": 2, "quad": 4}[layout] | |
| def current_drag_kn(current_speed_m_s: float, cd: float = 1.05) -> float: | |
| projected_area = ISO_LENGTH * ISO_HEIGHT | |
| drag = 0.5 * RHO_SEAWATER * cd * projected_area * current_speed_m_s**2 | |
| return drag / 1000.0 | |
| def optimize(target_depth_m: float, min_sf: float, current_speed_m_s: float) -> pd.DataFrame: | |
| material = default_material() | |
| p = hydrostatic_pressure(target_depth_m) | |
| rows: list[dict] = [] | |
| clearance = 0.08 | |
| for layout in ["single", "twin", "quad"]: | |
| count = tube_count(layout) | |
| for radius_m in [0.40, 0.45, 0.50, 0.52, 0.55, 0.58, 0.60, 0.70, 0.80, 1.00]: | |
| diameter_m = 2.0 * radius_m | |
| if not bundle_fits(layout, diameter_m, clearance): | |
| continue | |
| # Keep room for endcaps, supports, and cable terminations. | |
| for cyl_length_m in [8.8, 9.2, 9.6, 10.0, 10.4]: | |
| if cyl_length_m + diameter_m + 0.6 > ISO_LENGTH: | |
| continue | |
| shell_thickness_m = required_cylinder_thickness(radius_m, p, material, min_sf, 0.2) | |
| total_volume = count * tube_volume(radius_m, cyl_length_m) | |
| total_shell_mass = shell_mass_kg( | |
| count=count, | |
| radius_m=radius_m, | |
| cyl_length_m=cyl_length_m, | |
| shell_thickness_m=shell_thickness_m, | |
| density_kg_m3=material.density_kg_m3, | |
| ) | |
| displaced_mass = total_volume * RHO_SEAWATER | |
| score = total_volume / max(total_shell_mass / 1000.0, 1e-6) | |
| rows.append( | |
| { | |
| "layout": layout, | |
| "tube_count": count, | |
| "tube_od_m": diameter_m, | |
| "tube_radius_m": radius_m, | |
| "tube_cyl_length_m": cyl_length_m, | |
| "shell_thickness_mm": shell_thickness_m * 1000.0, | |
| "gross_internal_volume_m3": total_volume, | |
| "shell_mass_tonnes": total_shell_mass / 1000.0, | |
| "displaced_mass_tonnes": displaced_mass / 1000.0, | |
| "net_buoyancy_shell_only_tonnes": (displaced_mass - total_shell_mass) / 1000.0, | |
| "current_drag_kn": current_drag_kn(current_speed_m_s), | |
| "depth_m": target_depth_m, | |
| "min_sf": min_sf, | |
| "score": score, | |
| } | |
| ) | |
| df = pd.DataFrame(rows) | |
| if df.empty: | |
| return df | |
| # Prefer higher payload volume, then better volume-per-mass. | |
| return df.sort_values( | |
| ["gross_internal_volume_m3", "score", "shell_mass_tonnes"], | |
| ascending=[False, False, True], | |
| ) | |
| def build_markdown(best: pd.Series) -> str: | |
| pressure_bar = hydrostatic_pressure(float(best["depth_m"])) / 1e5 | |
| return f"""# Deep-Water Container-Format Design | |
| ## Recommended concept | |
| The best deep-water container-format concept from the screening sweep is: | |
| - layout: `{best['layout']}` | |
| - tube count: `{int(best['tube_count'])}` | |
| - each tube OD: `{best['tube_od_m']:.2f} m` | |
| - each cylindrical body length: `{best['tube_cyl_length_m']:.2f} m` | |
| - shell thickness: `{best['shell_thickness_mm']:.1f} mm` | |
| ## Why this wins | |
| This design keeps the ISO external handling logic while replacing one large pressure boundary with multiple smaller rounded ones. That reduces shell thickness demand at depth and avoids the flat-wall penalty. | |
| ## Screened design point | |
| - design depth: `{best['depth_m']:.0f} m` | |
| - hydrostatic pressure: `{pressure_bar:.2f} bar(g)` | |
| - minimum screening safety factor baked into sizing: `{best['min_sf']:.2f}` | |
| - gross internal pressure volume: `{best['gross_internal_volume_m3']:.1f} m^3` | |
| - shell-only mass: `{best['shell_mass_tonnes']:.1f} t` | |
| - shell-only net buoyancy: `{best['net_buoyancy_shell_only_tonnes']:.1f} t` | |
| - broadside current drag at reference current: `{best['current_drag_kn']:.1f} kN` | |
| ## Interpretation | |
| For deeper water, the most plausible container-like architecture is not a single container pressure box. It is an ISO frame carrying multiple smaller pressure tubes. | |
| """ | |
| def parse_args() -> argparse.Namespace: | |
| parser = argparse.ArgumentParser(description="Optimize deep-water container-format bundle.") | |
| parser.add_argument("--target-depth-m", type=float, default=300.0) | |
| parser.add_argument("--min-sf", type=float, default=1.5) | |
| parser.add_argument("--current-speed-m-s", type=float, default=1.5) | |
| parser.add_argument( | |
| "--output-dir", | |
| type=Path, | |
| default=Path("underwater_datacenter_project") / "optimized_deepwater_container_bundle", | |
| ) | |
| return parser.parse_args() | |
| def main() -> None: | |
| args = parse_args() | |
| out = args.output_dir | |
| out.mkdir(parents=True, exist_ok=True) | |
| df = optimize(args.target_depth_m, args.min_sf, args.current_speed_m_s) | |
| if df.empty: | |
| raise SystemExit("No feasible design found.") | |
| best = df.iloc[0] | |
| df.to_csv(out / "candidate_bundle_designs.csv", index=False) | |
| (out / "best_bundle_design.json").write_text(best.to_json(indent=2), encoding="utf-8") | |
| (out / "final_design.md").write_text(build_markdown(best), encoding="utf-8") | |
| print(f"Wrote outputs to {out.resolve()}") | |
| print(f"Best design file: {(out / 'final_design.md').resolve()}") | |
| if __name__ == "__main__": | |
| main() | |