基于室内桩孔水泥土夯击试验,研究夯锤形状、夯锤落距和夯击次数对挤密力和压实系数的影响规律,建立拟合数学模型。研究结果表明:平底锤对桩底的挤密力最大,锥底锤对桩侧的挤密力最大。挤密力和桩体压实系数与夯击次数、夯锤落距之间存...基于室内桩孔水泥土夯击试验,研究夯锤形状、夯锤落距和夯击次数对挤密力和压实系数的影响规律,建立拟合数学模型。研究结果表明:平底锤对桩底的挤密力最大,锥底锤对桩侧的挤密力最大。挤密力和桩体压实系数与夯击次数、夯锤落距之间存在对数函数相关性,用对数数学模型计算挤密力平均误差不超过7 k Pa,压实系数平均误差不超过2%;根据桩体压实系数的数学模型和挤密力随夯击次数的规律,以夯击能作为考量标准,提出最优夯击方案为锤底为锥形、30 cm落距和每层夯击30次。展开更多
Mathematical model is developed for prediction of physiological changes in man during work in hot environment taking into consideration intensity of work, clothing and environment. To evaluate human functional state t...Mathematical model is developed for prediction of physiological changes in man during work in hot environment taking into consideration intensity of work, clothing and environment. To evaluate human functional state the heat stress index was calculated. Modeling researches made the conclusion that the main risk factor during work in hot environment is water losses that happens through thermoregulatory sweat evaporation. Modeling showed that in humid environment man wearing protective clothing has short time to work as water losses became more than 2% of human weight that means body dehydration. Preliminary model prediction can be used as preventive method to avoid hazard of human health.展开更多
文摘基于室内桩孔水泥土夯击试验,研究夯锤形状、夯锤落距和夯击次数对挤密力和压实系数的影响规律,建立拟合数学模型。研究结果表明:平底锤对桩底的挤密力最大,锥底锤对桩侧的挤密力最大。挤密力和桩体压实系数与夯击次数、夯锤落距之间存在对数函数相关性,用对数数学模型计算挤密力平均误差不超过7 k Pa,压实系数平均误差不超过2%;根据桩体压实系数的数学模型和挤密力随夯击次数的规律,以夯击能作为考量标准,提出最优夯击方案为锤底为锥形、30 cm落距和每层夯击30次。
文摘Mathematical model is developed for prediction of physiological changes in man during work in hot environment taking into consideration intensity of work, clothing and environment. To evaluate human functional state the heat stress index was calculated. Modeling researches made the conclusion that the main risk factor during work in hot environment is water losses that happens through thermoregulatory sweat evaporation. Modeling showed that in humid environment man wearing protective clothing has short time to work as water losses became more than 2% of human weight that means body dehydration. Preliminary model prediction can be used as preventive method to avoid hazard of human health.
