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1)  yield prediction method
屈服判别法
1.
The yield prediction method, which can find out the weak member to be yielded, its yield type and the yield moment of a building structure under certain intensity of seismic action, is presented.
提出的建筑结构抗震设计屈服判别法是判别实际结构在地震作用下构件屈服部位、屈服类型及屈服时间的一个有效可行的方法。
2.
The weak members can be distinguished on the whole through the studying of the aseismic performance under middle earthquake by the yield prediction method,the intensifying measures are adopted purposefully to ensure the excellent aseismic performance.
采用屈服判别法研究结构在中震作用下的抗震性能,可在宏观上把握结构薄弱部位,有针对性地采取加强措施,以确保结构具备良好的抗震性能。
2)  yielding identification
屈服判别
1.
By use of comparison between results from SATWE and ETABS under frequent earthquake,yielding identification analysis under moderate earthquake,static push-over analysis under rare earthquake,weak portions of the structure have been found,and specific seismic measures are used to strengthen weak members.
通过采用SATWE和ETABS程序进行小震作用下计算结果对比分析、中震作用下构件不屈服判别分析、大震作用下静力推覆(push-over)分析,找到了结构的抗震薄弱环节,采取了相应的抗震加强措施。
3)  yield criterion
屈服判据
1.
A failure calculating model of adhesion joint was set up based on linear Drucker-Prager yield criterion,mechanical analysis of localized structure of adhesion joint and mechanical behavior of adhesive.
通过对铝合金粘接接头的胶粘剂层力学分析,结合胶粘剂的力学性能,在线性Drucker- Prager屈服判据基础上导出相应失效模型。
4)  yield?line method
屈服线法
5)  Coulomb's yield criterion
库仑屈服判据
6)  discriminance [dis'kriminəns]
判别方法
1.
Study on the discriminance of battery charged state;
蓄电池荷电状态判别方法的探讨
2.
The analytic geometry method is applied to analyze the subjects on Descriptive Geometry,which provides discriminance analysis on whether there is solution and whether drawing instruments could be directly used for drafting.
利用解析几何方法,对画法几何题目进行分析,从而提供了一种事先判断该题目是否有解、能否用绘图仪器直接作图的判别方法,确保了画法几何题目用图解法得到结果。
补充资料:判别分析预测法(见发生量预测)


判别分析预测法(见发生量预测)
discriminatory analysis for forecast

  判别分析预测法(diseriminatory analysisfor foreeast)又叫分辨分析法,是用判别函数预测害虫发生量的方法。其步骤为:将预报因子和预报量分为2级或多级,对预报因子进行线性组合,构成一个判别函数;先确定一个临界值作分辨指标,然后计算判别函数式中的系数,求出临界值;应用时,将预报因子的实查值代入判别函数式,求出预报值,将此值与临界值相比较,可预报害虫的发生量。 判别函数通式将预报因子的数据进行线性组合: 尸y~习c、·x、(1) 左=l式中夕为预报量;P为预报因子个数;x、(k二1,2,……,尸)为预报因子;c、为系数。二级判别法中的x分为2级,故(l)式为:〕一clxl+cZxZ(2)则y值亦分2级,可确定一个y。为分辨指标,当夕)yc时为A级,夕几时,若y>y。,可预报A级;若夕<夕。,可预报B级。当虱<元时,若y>夕。,可预报B级,若y  
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