摘要
为定量研究服装的穿着舒适性，本文以动态、大活动量等２０余种条件下１６０次实验取得的１５０余万主、客观测定资料为基础，运用相关分析、多元逐步回归分析、方差分析、主成分回归及多重比较等数理统计，较理想地解决了客观变量多重共线性等难题，选出了影响人体穿着热感觉的主要指标，建立了定量预测穿着热感觉的模型。继而，作为其应用又推导建立了实用性强的热舒适度（Ｂｃ）、舒适指数（Ｆｃ）及其预测模型，将热舒适性提高到体现机体功能水平与服装属性的量化高层次，为从舒适性角度改善服装功能提供了理论依据和实用评价方法。
A study of clothing comfort was
made in which over 1.5 million sub-jective and objective data were collected in 160 tests under
more than 20 conditions. Mainproblems such as objective variable multiple collimation
,selection of principal indices influncing wearing thermal sensation were solved with
mathematical statistics ,and a modelfor predicting wearing thermal sensation was established.
For the convenience in applica-tion,thermal comfort degree (Bc)and comfort index(Fc) were
derived and a predictingmodel was establi shed. It provides a basis for quantitative evaluation
of thermal comfortof military clothings.
出处
《航天医学与医学工程》
CAS
CSCD
1994年第4期258-265,共8页
Space Medicine & Medical Engineering
关键词
舒适
热舒适度
预测
数学模型
clothing comfotableness,thermal comfort
degree,prediction,mathematical models
