Datasets:

ClarusC64
/

fission-fuel-rod-failure-horizon-and-mitigation-routing-v0.1

id stringclasses 10 values	reactor_type stringclasses 3 values	burnup_gwdt int64 18 55	linear_heat_kw_m int64 17 28	pellet_temp_c int64 910 1.3k	cladding_temp_c int64 325 455	creep_rate_pct_hr float64 0.01 0.03	fgr_pct float64 0.6 3.8	drift_gradient float64 0.02 0.21	failure_risk_score float64 0.12 0.88	failure_horizon_cycles int64 40 400	mitigation_action stringclasses 8 values	gold_route stringclasses 5 values	notes stringclasses 10 values
FFR-001	PWR	38	24	1,130	400	0.014	1.9	0.09	0.42	220	continue monitoring	monitor	Stable but trending
FFR-002	PWR	45	26	1,200	420	0.021	2.6	0.14	0.63	120	reduce power 5%	power_reduction	Mid-risk drift
FFR-003	PWR	50	27	1,260	440	0.025	3.1	0.18	0.79	60	power reduction + inspection	dual	High burnup risk
FFR-004	BWR	34	22	1,105	380	0.012	1.8	0.08	0.37	240	continue monitoring	monitor	Coherent state
FFR-005	BWR	41	23	1,185	405	0.017	2.3	0.12	0.58	150	power reduction	power_reduction	Rising mismatch
FFR-006	SMR	18	17	910	325	0.005	0.6	0.02	0.12	400	none	stable	Baseline SMR
FFR-007	SMR	40	23	1,120	405	0.018	2.3	0.12	0.55	180	reduce power	power_reduction	Late-cycle drift
FFR-008	PWR	55	28	1,300	455	0.03	3.8	0.21	0.88	40	shutdown inspection	shutdown	Critical horizon
FFR-009	PWR	30	21	1,050	370	0.009	1.3	0.05	0.28	300	continue monitoring	monitor	Healthy coupling
FFR-010	BWR	48	25	1,220	430	0.02	2.9	0.16	0.71	90	reduce power + inspect	dual	Escalating

Goal

Predict when fuel rod integrity will fail and what mitigation should be taken.

This is the third layer in the fuel-cladding coherence trinity.

Layer 1 Baseline coupling

Layer 2 Drift detection

Layer 3 Failure horizon and routing

Model outputs

failure_horizon_cycles

mitigation_action

Why it matters

Fuel rod failures rarely occur instantly. They emerge from sustained thermo-mechanical drift.

Predicting the horizon allows:

power derating

inspection scheduling

controlled shutdown

avoidance of cladding rupture

Use cases

reactor digital twins

SMR predictive maintenance

burnup cycle optimization

safety margin forecasting