농업기계의 전도 안정성 분석: 연구 분석 기법

초록

Rollover accidents involving agricultural machinery result in significant injuries, highlighting the need for ongoing advancements in stability assessment technologies. This study systematically reviews existing research, categorizing it into four approaches: static stability, dynamic stability, rollover stability indices, and simulation-based evaluation. Static stability assessment evaluates rollover risk based on geometric factors, including the center of gravity, track width, and lateral rollover angle. In contrast, dynamic stability assessment takes into account dynamic factors such as steering and terrain variations, addressing risks that static analysis cannot predict. Rollover stability indices, including LTR, SI, and RSI, provide quantitative measures of rollover risk and establish criteria for intervention in real-time control systems. Simulation-based evaluation utilizes programs like RecurDyn, CarSim, and ADAMS to create virtual scenarios, allowing for quantitative analysis under various conditions. Each methodology offers distinct advantages and limitations, necessitating careful selection based on the specific characteristics of the machinery and its working environment. This study provides a comprehensive overview of agricultural machinery rollover stability assessment techniques, which can be applied in the design and safety research of agricultural machinery.

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