NTSB CAROL · Event
Event WPR15CA056
Registry · N27580
FAA Aircraft Registry record.
Make / Model
TAYLORCRAFT BL-65
Engine
CONT MOTOR A&C65 SERIES (65 hp)
Seats / Engines
2 seats · 1 engine
ADS-B equipped
Yes — Mode-S A2BC98
Registrant of record
MANN THOMAS A
Source: FAA Aircraft Registry (releasable master file).
Aircraft involved
Probable cause & findings
The pilot's failure to maintain directional control during the landing roll resulting in a runway excursion and collision with hangars.
Factual narrative
The pilot stated that the wheel landing touchdown in the tailwheel equipped airplane was normal. After applying the brakes, the airplane turned 45 degrees to the left, and departed the runway surface. It crossed the grass infield, went onto a taxiway, and the left wing struck a hangar. The airplane turned right, and the right wing struck another hangar. Both wings sustained substantial damage. There was no report of a preimpact mechanical malfunction or failure with the airplane that would have precluded normal operation. The pilot stated that the wheel landing touchdown in the tailwheel equipped airplane was normal. After applying the brakes, the airplane turned 45 degrees to the left, and departed the runway surface. It crossed the grass infield, went onto a taxiway, and the left wing struck a hangar. The airplane turned right, and the right wing struck another hangar. Both wings sustained substantial damage. There was no report of a preimpact mechanical malfunction or failure with the airplane that would have precluded normal operation. Source: NTSB Aviation Accident Database Retrieved: 2026-02-12
NTSB Findings
Hierarchical cause / factor breakdown from the FAA bulk avdata database. Each finding tagged C (Cause) or F (Factor).
- C Aircraft-Aircraft oper/perf/capability-Performance/control parameters-Directional control-Not attained/maintained - C
- C Personnel issues-Task performance-Use of equip/info-Aircraft control-Pilot - C
- — Environmental issues-Physical environment-Object/animal/substance-Airport structure-Not specified
Verbatim from NTSB's published report. Source file
NTSB_2014_WPR15CA056.txt.
Findings + structured fields enriched from FAA avall.mdb.
Full investigation docket on
data.ntsb.gov ↗.
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Related research
What the literature says.
Academic papers and agency reports matching this event's aircraft type or causal vocabulary (runway excursion). Sourced from NASA NTRS, NTSB Safety Studies, FAA CAMI, AOPA Air Safety Institute, Embry-Riddle Scholarly Commons, arXiv, and the Semantic Scholar academic graph.
- SKYbrary (Eurocontrol) 2024 · SKYbrary article
Runway Excursion — SKYbrary Knowledge Base
SKYbrary runway excursion review — RE-OE (overruns) + RE-LO (lateral). Risk drivers: long landing, high approach speed, contaminated surface, tailwind, mis-set autobrakes.
- NTSB Aircraft Accident Reports 2019 · Accident report
Embraer ERJ 175 Runway Excursion at Charlotte Douglas
Republic Airline ERJ-175 runway excursion CLT, January 2018. Examines a low-energy runway excursion involving misuse of autobrakes + thrust reverser response after a high-crosswind landing on a contam…
- NASA NTRS 2025 · Presentation
Uncovering Resilient Behavior in the Aviation Safety Reporting System Using Large Language Models
Resiliency is present in everyday life, both in system design and exhibited by the operators that function within these systems.
- NASA NTRS 2025 · Conference Paper
Uncovering Resilient Behavior in the Aviation Safety Reporting System Using Large Language Models
Resiliency is present in everyday life, both in system design and exhibited by the operators that function within these systems.
- Flight Safety Foundation 2024 · FSF / AeroSafety World
Runway Safety Initiative Final Report (RSI)
Foundation Runway Safety Initiative final report — comprehensive analysis of runway excursion + incursion risk drivers worldwide.
- Semantic Scholar 2020 · Article
Towards online prediction of safety-critical landing metrics in aviation using supervised machine learning
Abstract In recent years, due to the increased availability of data and improvements in computing power, application of machine learning techniques to various aviation safety problems for identifying,…
Browse the full corpus — academia portal ↗