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##Çó×îÖÕµÄTbºÍTheta_T## ##Êý¾Ý Tmax=c(35.0,30.0,28.0,25.0,25.5,26.0) Tmin=c(15.4,15.8,13.2,9.8,9.5,9.4) X=c(0.233,0.233,0.220,0.065,0.138,0.083) D=c(12,25,46,41,45,62) Ts=40 To=30 Tbo=0 ##Theta_g ÆäÖÐÒ»¸ö¹ý³ÌÁ¿ if (Tbo<Tmin){ Theta_g=(Tmax+Tmin)/2 } else if (Tbo<Tmax & Tbo>Tmin){ Theta_g=(Tmax+Tmin)/2+(Tbo-Tmin)^2/2*(Tmax-Tmin) } else Theta_g=Tbo ##Theta_a ÁíÒ»¸ö¹ý³ÌÁ¿ if (To>Tmin & Tmax<Ts){ Theta_a=(Ts-Tbo)*(Tmax-To)^2/(2*(Ts-To)*(Tmax-Tmin)) } else if (To>Tmin & Tmax>=Ts){ Theta_a=(Tmax*(Tmax-2*Tbo)-To*(Ts-Tbo)+Ts*Tbo)/(2*(Ts-To)) } else if (Tmin>=To & Tmin<Ts & Tmax<Ts){ Theta_a=(Ts-Tbo)*(Tmax+Tmin-2*To)/(2*(Tmax-Tmin)) } else if (Tmin>=To & Tmin<Ts & Tmax>Ts){ Theta_a=(Tmax+Tmin)/2-Tbo-(To-Tbo)*(Ts-Tmin)^2/(2*(Ts-To)*(Tmax-Tmin)) } else Theta_a=(Tmax+Tmin)/2-Tbo ## Theta_s Theta_s=(Theta_g-Theta_a)*D ## Linear formular: Theta_s/X=Theta_T+Tb(D/X) ×îС¶þ³Ë·¨»Ø¹é y=Theta_s/X x=D/X ##Least square linear regress simulation Tb=sum((x-mean(x))*(y-mean(y)))/sum((x-mean(x))^2) Theta_T=mean(y)-Tb*mean(x) ###Åж¨Ìõ¼þÊÇ |Tb-Tbo|<0.01ÔòÍ£Ö¹£¬Èç¹û|Tb-Tbo|>=0.01,ÔòÁîTbo=Tb£¬È»ºó»Øµ½ÉÏÃæÈý¸ö·½³ÌÖØÐ¼ÆËãTb,ÔÙ½øÐÐÅж¨£¬Ö±µ½|Tb-Tbo|<0.01Ϊֹ ##ÇëÎʸÃÈçºÎÉèÖÃÑ»·µü´úÓï¾ä |
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