NTSB CAROL · Event
Event GAA16CA017
Registry · N90K
FAA Aircraft Registry record.
Make / Model
BEECH C90GTI
Year of manufacture
2007 · 8 years old at event
Engine
P&W CANADA PT6A-135A (750 hp)
Seats / Engines
6 seats · 2 engines
Last airworthiness date
20071226
ADS-B equipped
Yes — Mode-S AC6DB4
Registrant of record
OENOVATION LLC
Source: FAA Aircraft Registry (releasable master file).
Aircraft involved
Probable cause & findings
The pilot's failure to maintain directional control during landing, which resulted in runway excursion and collision with terrain.
Factual narrative
The pilot reported that the airplane's right main landing gear "got into the dirt" after the airplane bounced during the landing. The pilot reported that he aborted the landing but the airplane settled to the ground. He reported that the left main landing gear impacted terrain and collapsed. The pilot reported that there were no pre-impact mechanical failures or malfunctions with the airframe or engine that would have precluded normal operation. The airplane sustained substantial damage to both wings and the fuselage. The pilot reported that the airplane's right main landing gear "got into the dirt" after the airplane bounced during the landing. The pilot reported that he aborted the landing but the airplane settled to the ground. He reported that the left main landing gear impacted terrain and collapsed. The pilot reported that there were no pre-impact mechanical failures or malfunctions with the airframe or engine that would have precluded normal operation. The airplane sustained substantial damage to both wings and the fuselage. 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-Use of equip/info-Aircraft control-Pilot - C
- C Aircraft-Aircraft oper/perf/capability-Performance/control parameters-Directional control-Not attained/maintained - C
Verbatim from NTSB's published report. Source file
NTSB_2015_GAA16CA017.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 ↗