| """Independent field checks and mesh-refinement audits; no training-set tuning.""" |
| import json |
| from pathlib import Path |
| import numpy as np |
| import h5py |
| from generate import ROOT, run, parameters |
|
|
| def metrics(kind,folder,p): |
| with h5py.File(folder/"fields.h5") as f: |
| coords=f["Mesh/ReferenceGeometry"][:] |
| cells=f["Mesh/Topology"][:] |
| out={"nodes":len(coords),"cells":len(cells)} |
| def finite(name,obj): |
| if isinstance(obj,h5py.Dataset): assert np.isfinite(obj[:]).all(),name |
| f.visititems(finite) |
| if kind=="notch": |
| center=coords[cells[:,:3]].mean(1) |
| v=f["Frames/0000/Cell/MISES"][:] |
| region=(center[:,0]>.3*p[0])&(center[:,0]<.7*p[0]) |
| out["central_cell_mises_max_pa"]=float(v[region].max()) |
| elif kind=="heat": |
| vals=np.load(folder/"field.npz")["values"][:,0] |
| assert vals.min()>299.99 |
| out["peak_temperature_rise_k"]=float(vals.max()-300) |
| else: |
| out["radial_displacement_max_m"]=float(f["Frames/0000/Point/U"][:,0].max()) |
| return out |
|
|
| if __name__=="__main__": |
| import argparse |
| ap=argparse.ArgumentParser(); ap.add_argument("kind"); ap.add_argument("--refinement",type=int,default=1) |
| args=ap.parse_args(); kind=args.kind; ref=args.refinement |
| root=ROOT/"generated"/(kind if ref==1 else kind+f"_r{ref}") |
| pars=parameters(kind,256) |
| indices=[0,31,64,95,128,159,192,255] |
| audit=[] |
| for i in indices: |
| base=root/"samples"/f"{i:05d}" |
| if not (base/"sample.json").exists(): |
| base=root/"mesh_audit_coarse"/f"{i:05d}" |
| run(kind,pars[i],base,ref) |
| fine=root/"mesh_audit"/f"{i:05d}" |
| if not (fine/"sample.json").exists(): run(kind,pars[i],fine,2*ref) |
| a=metrics(kind,base,pars[i]); b=metrics(kind,fine,pars[i]); key=list(a)[-1] |
| err=abs(a[key]-b[key])/abs(b[key]) |
| audit.append({"id":f"{i:05d}","coarse":a,"fine":b,"relative_change":err,"quantity":key}) |
| print(kind,i,"mesh_change",err,flush=True) |
| (root/"mesh_audit.json").write_text(json.dumps(audit,indent=2)) |
|
|
