NTSB CAROL · Event
Event CHI88LA133
Aircraft involved
Factual narrative
DURING INITIAL TAKEOFF CLIMB THE ACFT EXPERIENCED A LOSS OF ENGINE POWER AT APPROXIMATELY 30' TO 40' ABOVE THE GROUND. THE PILOT ELECTED TO EXECUTE A FORCED LANDING ON THE GRASSY INFIELD OF THE AIRPORT BECAUSE INSUFFICIENT RUNWAY REMAINED. THE ACFT STRUCK THE GROUND IN A NOSE LOW ATTITUDE AND THE NOSE GEAR COLLAPSED RESULTING IN SUBSTANTIAL DAMAGE. THE ENGINE EXAM DID NOT DISCLOSE ANY MECHANICAL FAILURES OR MALFUNCTIONS. THE AIRCRAFT WAS USING AUTO GAS. Source: NTSB Aviation Accident Database (Pre-2008 Archive) Retrieved: 2026-02-12
Verbatim from NTSB's published report. Source file
NTSB_1988_CHI88LA133.txt.
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Related research
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Academic papers and agency reports matching this event's aircraft type. Sourced from NASA NTRS, NTSB Safety Studies, FAA CAMI, AOPA Air Safety Institute, Embry-Riddle Scholarly Commons, arXiv, and the Semantic Scholar academic graph.
- arXiv 2023 · arXiv preprint
Large-eddy simulations of the NACA23012 airfoil with laser-scanned ice shapes
In this study, five ice shapes generated at NASA Glenn's Icing Research Tunnel (IRT) are simulated at multiple angles of attack (Broeren et al., J. of Aircraft, 2018).
- arXiv 2023 · arXiv preprint
Novel Online-Offline MA2C-DDPG for Efficient Spectrum Allocation and Trajectory Optimization in Dynamic Spectrum Sharing UAV Networks
Unmanned aerial vehicle (UAV) communication is of crucial importance for diverse practical applications. However, it is susceptible to the severe spectrum scarcity problem and interference since it op…
- Semantic Scholar 2019 · Article (International Conference on Interaction Sciences)
Using lda2vec Topic Modeling to Identify Latent Topics in Aviation Safety Reports
The study of aviation safety report in the aviation industry usually relies on manually labeled data sets, and then classifies and models related problems, which have become insufficient in the face o…
- arXiv 2026 · arXiv preprint
Separation Assurance between Heterogeneous Fleets of Small Unmanned Aerial Systems via Multi-Agent Reinforcement Learning
In the envisioned future dense urban airspace, multiple companies will operate heterogeneous fleets of small unmanned aerial systems (sUASs), where each fleet includes several homogeneous aircraft wit…
- arXiv 2025 · arXiv preprint
Developing Fundamental Diagrams for Urban Air Mobility Traffic Based on Physical Experiments
Urban Air Mobility (UAM) is an emerging application of unmanned aerial vehicles that promises to reduce travel time and alleviate congestion in urban transportation systems.
- arXiv 2025 · arXiv preprint
Spatially Consistent Air-to-Ground Channel Modeling and Simulation via 3D Shadow Projections
We present an approach for spatially-consistent semi-deterministic Air-to-Ground (A2G) channel modeling in Unmanned Aerial Vehicle-assisted networks.
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