This study addresses the critical gap in theoretical frameworks for calculating aircraft takeoff and landing distances on soil runways. The purpose of this study is to develop a novel method to determine these distances under standard and varying conditions, thereby enhancing airport utilization efficiency and providing theoretical support for soil runway planning and aircraft design.
A calculation method is proposed, integrating comprehensive resistance factors via two- and three-wheel rolling models. Relevant parameters are determined based on aircraft operational characteristics on soil runways. This method adopts a two-state calculation framework, which divides the aircraft’s ground operation on soil runways into two distinct phases: three-point rolling (with both main wheels and nose gear in contact with the runway) and two-point rolling (with only main wheels in contact). Using this approach, takeoff/landing distances for diverse conditions are derived. Validity is verified by comparing results with flight manual data.
The proposed method achieves high accuracy across multiple scenarios, with calculated distances deviating by only ±5% from flight manual data, confirming its reliability. These results offer crucial theoretical support for soil runway length optimization and aircraft ground performance analysis, bridging the gap between empirical data and theoretical modeling.
The methodology aids airport authorities in optimizing soil runway length planning, improving operational safety and efficiency. It also supports aircraft manufacturers in refining ground performance simulations, enhancing design accuracy for nonasphalt runway operations.
By improving the accuracy of takeoff and landing distance calculations on soil runways, the research enhances airport utilization, particularly in remote or temporary aviation hubs. This supports broader aviation accessibility, reduces infrastructure costs and promotes safer operations in diverse operational environments.
This research introduces a pioneering comprehensive resistance-based modeling approach, distinct from conventional methods. By filling the theoretical void in soil runway performance analysis, it provides a robust, validated tool with high practical value for aviation infrastructure planning and aircraft design, advancing the state-of-the-art in ground performance modeling.
