基于足-地接触力的滑跌概率预测模型研究

摘要

In this study, the experiment on investigating the inaccurate prediction of the probability of slip and fall incidents using traditional decision conditions for slips and falls was carried out, and a new model for predicting the slip and fall probability was constructed. To establish new decision coditions for slips and falls, the concept of utilized coefficient of friction ( UCOF) was defined. The slip-resistance experiments were conducted to give the available coefficient of friction ( ACOF) on combination of several common sole materials, ground material and pollution medium. The relevant required coefficient of friction (RCOF) and UCOF were calculated by using the foot-floor force measured in the walking slip and fall experiments. Based on correcting the traditional decision conditions for slips and falls, a new model for predicting the probability of slip and fall incidents was finally established, which contains the aspects of slide and slip. The experimental results indicate that compared with existing models the proposed model has the higher prediction accuracy.%针对传统的滑跌判定条件预测行走滑跌概率不准确的问题,进行了滑跌实验,建立了新的滑跌概率预测模型.为了建立新的滑跌判定条件,提出了利用摩擦系数( UCDF)这一概念；通过止滑性能实验测得了几种常见鞋底材质、地面材质及污染介质组合下的可得摩擦系数(ACOF),通过滑跌实验中测得的足-地接触力,计算出了相应的必要摩擦系数(RCOF)以及UCOF.修正了传统的滑跌判定条件,最终建立了包含滑动和滑倒两种情况的滑跌概率预测模型.试验分析结果表明:与现有的滑跌预测模型相比,此模型提高了对滑跌概率预测的准确度.