NTSB CAROL · Event
Event CEN13LA155
Aircraft involved
Probable cause & findings
The line technician’s failure to remove the refueling mat from the helicopter fuselage following servicing, which resulted in the mat striking the tail rotor in flight, and the pilot’s inadequate preflight inspection.
Factual narrative
On February 6, 2013, about 1750 central standard time, a Robinson R44 II helicopter, N276RC, executed an autorotation landing after a fueling mat struck the tail rotor at the Tulsa International Airport (TUL), Tulsa, Oklahoma. The commercial pilot was not injured. The tail rotor blades received substantial damage. The airplane was registered to and operated by Crumpton Aviation LLC under the provisions of 14 Code of Federal Regulations Part 91as a business flight. Night visual meteorological conditions prevailed for the flight and no flight plan was filed. The flight was originating at the time of the accident and was destined for Richard Lloyd Jones Jr. Airport (KRVS), Tulsa, Oklahoma. After fuel servicing by fixed base operator personnel, the pilot lifted off from the ramp area and began a turn to the southwest. Climbing through 150 feet above ground level, the pilot reported a loud bang followed by loss of tail rotor effectiveness. The pilot executed an autorotation landing on a concrete ramp at the airport. During examination of the accident site, two fractured tail rotor blades and a damaged fueling mat were found on a path between the initial liftoff point of the helicopter and its landing location. Examination of the tail rotor blades indicated that damage was consistent with contact by the fueling mat. After fuel servicing, the line technician did not remove the rubber fueling mat from the fuselage. The pilot did not observe the mat on the fuselage before taking off, most likely due to his inadequate preflight inspection of the helicopter. While climbing through 150 feet above ground level, the fueling mat departed the fuselage and impacted the tail rotor, which resulted in the fracture of both tail rotor blades and a loss of tail rotor control. The pilot executed an autorotation landing and landed without further incident. 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 Personnel issues-Task performance-Inspection-Preflight inspection-Pilot - C
- C Aircraft-Aircraft propeller/rotor-Tail rotor-Tail rotor blade-Damaged/degraded - C
- C Personnel issues-Action/decision-Action-Forgotten action/omission-Ground crew - C
Verbatim from NTSB's published report. Source file
NTSB_2013_CEN13LA155.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 (icing). Sourced from NASA NTRS, NTSB Safety Studies, FAA CAMI, AOPA Air Safety Institute, Embry-Riddle Scholarly Commons, arXiv, and the Semantic Scholar academic graph.
- NASA NTRS 2026 · Contractor Report (CR)
Icing Physics Studies Using the 3D SIDRM Test Article: 2023 Icing Tests Analysis
In-flight icing is an important safety issue and is a factor that affects aircraft design and performance. Newer regulations are driving a need for improvements in airframe and engine icing simulation…
- arXiv 2025 · arXiv preprint
Multi-Agent Deep Reinforcement Learning for UAV-Assisted 5G Network Slicing: A Comparative Study of MAPPO, MADDPG, and MADQN
The growing demand for robust, scalable wireless networks in the 5G-and-beyond era has led to the deployment of Unmanned Aerial Vehicles (UAVs) as mobile base stations to enhance coverage in dense urb…
- Embry-Riddle Scholarly Commons 2025 · Journal article (JAAER)
A Mathematical Model on the Temporal Dynamics of Aviation Competitive Pricing
This study investigates the competitive dynamics of airport pricing using U.S. airport data to validate the findings. It employs linear and nonlinear ordinary differential equation models to analyze t…
- NASA NTRS 2025 · Presentation
NASA Icing Update – March 2025
This NASA Icing Update was prepared for presentation to the SAE International AC-9C Inflight Icing Technology Committee. This update includes the following topics: planned Rotational Icing Scaling tes…
- arXiv 2024 · arXiv preprint
An energy-stable phase-field model for droplet icing simulations
A phase-field model for three-phase flows is established by combining the Navier-Stokes (NS) and the energy equations, with the Allen-Cahn (AC) and Cahn-Hilliard (CH) equations and is demonstrated ana…
- NASA NTRS 2024 · Presentation
NASA Icing Update – Oct 2024
This presentation provides a status update on select NASA icing research activities for the SAE AC-9C Icing Technical Committee Meeting on Oct 21, 2024.
Browse the full corpus — academia portal ↗