GAA16CA007
2015-10-05 · BRYAN, Texas, United States · Minor · 1 aircraft · Status: Completed
Airport CFD
Current FAA registration · N477UC
- Make / Model
- BOGLE ABSEY C BREEZY RLU-1
- Year of manufacture
- 2013 · 2 years old at event
- Engine
- LYCOMING O-235-C1 (115 hp)
- Seats / Engines
- 2 seats · 1 engine
- Last airworthiness date
- 20130211
- ADS-B equipped
- Yes — Mode-S A5DCE0
Source: FAA Aircraft Registry (releasable master file).
Aircraft involved
Probable cause & findings
The pilot's excessive descent rate, which resulted in a hard landing and substantial damage.
Factual narrative
The pilot of the experimental amateur built airplane reported that he had been practicing touch and go landings on an airport runway and taxiway. He then made a successful simulated engine out landing on the runway, following that, he and then attempted a simulated engine out landing on the opposite end of the runway. The pilot reported that during the approach, "the turn to downwind caused the speed to decay so I lowered the nose to attempt to regain the speed". He lowered the airplane's nose to regain airspeed, but reported that he realized the attitude was too steep and applied full power in an attempt to recover. The pilot reported that he was unable to slow the descent rate and the airplane landed hard. The airplane sustained substantial damage to the fuselage and wing struts. The pilot reported no preimpact mechanical failures or malfunctions with the airframe or engine that would have precluded normal operation. The pilot of the experimental amateur built airplane reported that he had been practicing touch and go landings on an airport runway and taxiway. He then made a successful simulated engine out landing on the runway, following that, he and then attempted a simulated engine out landing on the opposite end of the runway. The pilot reported that during the approach, "the turn to downwind caused the speed to decay so I lowered the nose to attempt to regain the speed". He lowered the airplane's nose to regain airspeed, but reported that he realized the attitude was too steep and applied full power in an attempt to recover. The pilot reported that he was unable to slow the descent rate and the airplane landed hard. The airplane sustained substantial damage to the fuselage and wing struts. The pilot reported no preimpact mechanical failures or malfunctions with the airframe or engine that would have precluded normal operation. Source: NTSB Aviation Accident Database Retrieved: 2026-02-12
NTSB Findings
FAA avdata. C = Cause, F = Factor.
- C Personnel issues-Task performance-Use of equip/info-Aircraft control-Pilot - C
- C Aircraft-Aircraft oper/perf/capability-Performance/control parameters-Pitch control-Not attained/maintained - C
- C Aircraft-Aircraft oper/perf/capability-Performance/control parameters-Descent rate-Not attained/maintained - C
Verbatim from NTSB's published report. Source file
NTSB_2015_GAA16CA007.txt.
Findings + structured fields enriched from FAA avall.mdb.
Full investigation docket on
data.ntsb.gov ↗.
Search this event elsewhere
External sources are reported, not agency: signal that something happened, not fact about what happened.
- TallyAero Live Wire Aviation press
- NTSB CAROL Agency ↗
- NTSB Docket Agency ↗
- Aviation Safety Network Aviation press ↗
- Kathryn's Report Aviation press ↗
- Aviation Herald Aviation press ↗
- AVweb Aviation press ↗
- Pilots of America Community ↗
- Reddit /r/flying Community ↗
- FlightAware Aviation press ↗
- AOPA accident database Aviation press ↗
- Google News News ↗
- DuckDuckGo News ↗
Related research
Matched on aircraft type or causal vocabulary (icing). All research papers
- arXiv 2026 · arXiv preprint Enabling Beyond-Visual-Line-of-Sight Drones Operation over Open RAN 5G Networks with Slicing
Among the foretold claims of the transition from 5G to 6G, Beyond-Visual-Line-of-Sight (BVLoS) drone operation has emerged as a prominent Internet-of-Robots enabler.
- 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…
- 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…
- 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…
- 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…