| 1. | Method is called at the end of the page load stage
方法在页加载阶段结束时调用。 |
| 2. | Initialization stage and before the load stage
初始化阶段结束但加载阶段尚未开始时发生。 |
| 3. | Event at the end of the page load stage
在页加载阶段结束时引发 |
| 4. | Occurs at the end of the load stage of the page s life cycle
在页生命周期的加载阶段结束时发生。从 |
| 5. | Validation information is not available during a page s initialization or load stage
验证信息在页的初始化或加载阶段不可用。 |
| 6. | The original load stages between 2 and 50 kn have now been extended up to 500 kn
原有的2至50kn的负载级别目前已经扩大到了最大500kn 。 |
| 7. | According to the loading characteristics of bonded post - tensioned prestressed concrete frames , a program is worked out to perform a nonlinear finite element analysis for the static staff in both the stretching wire stage and the loading stage
摘要根据后张有粘结预应力混凝土框架结构的受力特点，编制了适用于预应力建立和施加外荷载两个阶段的静力杆件非线性有限元分析程序。 |
| 8. | In the paper , nonlinear finite element method ( fem ) analysis of multi - planar joints of steel tubular members has been realized by ansys software . it traces the whole process of stress - strain of total loading stages , and the ultimate bearing capacity of the joints is gained
本文利用ansys有限元程序实现了对钢管相贯节点的弹塑性非线性分析，跟踪结构在整个加载阶段各点的应力、应变变化过程，求出了节点的极限承载力。 |
| 9. | This thesis mainly researches second - prestressing precast slabs , it is important to study its one - way slab floor ' s ability in use . specific content include : imitate construction load lab , through this method to analyze the precast slabs " properties in the first stage in burden load . one - way precast slabs " lab , analyes one - way precast slabs sandwich s ability in second burden load stage
具体的研究内容有：模拟施工荷载试验，即对装配整式夹层板第一受力阶段进行研究；单向装配整体式结构的第二受力阶段的性能进行研究，并分析了二次张拉预应力筋所引起的结构的变形和应变与计算结果进行对比。 |
| 10. | That is the identification of material parameter is done through the true deformation increment in the loading stage before , loading increment , and the stress state by artificial neural networks , after this , we can get loading increment for the next deformation stage by the artificial neural networks trained by stress stage , target deformation increment and the identified m value
即首先根据上一步加载材料的实际应变增量、所加应力增量以及材料所在的应力状态识别出材料物性参数m值，然后再根据材料加载后的应力状态、目标应变增量以及识别所得m值，由训练好的识别应力增量的人工神经网络产生应加的载荷增量。 |
