NTSB CAROL · Event
Event DFW07CA122
Registry · N188LC
FAA Aircraft Registry record.
Make / Model
VAN'S AIRCRAFT RV-8
Seats / Engines
2 seats · 1 engine
ADS-B equipped
Yes — Mode-S A15F61
Registrant of record
SMITH BRANDON L
Source: FAA Aircraft Registry (releasable master file).
Aircraft involved
Probable cause & findings
The deflated right main landing gear tire, which resulted in a loss of control during the landing roll and a nose over. A factor associated with the accident was the pilot's decision to operate the airplane without having the leaking tire inspected.
Factual narrative
According to the commercial pilot, the preflight inspection revealed a low right tire with 20 pounds of pressure. He serviced the tire prior to the test flight to 35 pounds pressure; however, following a normal, soft landing about 25 minutes later, the airplane veered to the right. He was unable to control the airplane, and it exited the right side of the runway, ground-looped, and nosed over. The pilot was able to exit unassisted through the shattered canopy. The pilot reported that a postaccident inspection disclosed that the right tire was completely flat, and that the inner tube was leaking. According to the commercial pilot, the preflight inspection revealed a low right tire with 20 pounds of pressure. He serviced the tire prior to the test flight to 35 pounds pressure; however, following a normal, soft landing about 25 minutes later, the airplane veered to the right. He was unable to control the airplane, and it exited the right side of the runway, ground-looped, and nosed over. The pilot was able to exit unassisted through the shattered canopy. The pilot reported that a postaccident inspection disclosed that the right tire was completely flat, and that the inner tube was leaking. Source: NTSB Aviation Accident Database (Pre-2008 Archive) Retrieved: 2026-02-12
Verbatim from NTSB's published report. Source file
NTSB_2007_DFW07CA122.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 (loss of control). Sourced from NASA NTRS, NTSB Safety Studies, FAA CAMI, AOPA Air Safety Institute, Embry-Riddle Scholarly Commons, arXiv, and the Semantic Scholar academic graph.
- Embry-Riddle Scholarly Commons 2025 · Journal article (JAAER)
A Scoping Review of Aviation Loss of Control Inflight Research
Loss of control – inflight (LOC-I) contributes to aircraft accidents at unacceptably high rates. Significant industry efforts and research have aimed to improve LOC-I prevention, detection, and recove…
- SKYbrary (Eurocontrol) 2024 · SKYbrary article
Loss of Control In-Flight (LOC-I) — SKYbrary Knowledge Base
SKYbrary comprehensive knowledge-base entry on Loss of Control In-Flight — definitions, contributing factors, accident case studies (Air France 447, Colgan 3407), and prevention strategies.
- NTSB Aircraft Accident Reports 2022 · Accident report
Loss of Control on Takeoff in Icing Conditions — Citation 560XL
Cessna Citation 560XL fatal takeoff icing accident, March 2018. Investigation of a Citation 560XL loss-of-control takeoff accident in icing conditions.
- Semantic Scholar 2021 · Article (Aviation)
ANALYSIS OF GENERAL AVIATION FIXED-WING AIRCRAFT ACCIDENTS INVOLVING INFLIGHT LOSS OF CONTROL USING A STATE-BASED APPROACH
Inflight loss of control (LOC-I) is a significant cause of General Aviation (GA) fixed-wing aircraft accidents. The United States National Transportation Safety Board’s database provides a rich source…
- NASA NTRS 2021 · Presentation
Use of Design of Experiments in Determining Neural Network Architectures for Loss of Control Detection
Abstract—We describe empirical methods for selecting a neural network architecture to implement belief state inference on generic commercial transport aircraft.
- NASA NTRS 2021 · Conference Paper
Use of Design of Experiments in Determining Neural Network Architectures for Loss of Control Detection
We describe empirical methods for selecting a neural network architecture to implement belief state inference on generic commercial transport aircraft.
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