根据纸浆模塑制品动态压缩试验的测试数据，提出了采用神经网络方法对试验数据进行处理。
It was put forward to apply neural network method to process the dynamic compression test data of molded pulp products.
对国标包装用缓冲材料动态压缩试验方法（GB8167-87）进行了剖析，发现了两个较大的缺陷。
Two new sets of testing methods of dynamic compression for package cushioning materials are proposed, as an improvement over GB8167-87.
首先讨论了泡沫金属材料的特点和力学性能，并对七种不同的泡沫铝材料分别进行了准静态和动态压缩试验。
First the characteristics and mechanical properties of mental foams were discussed. Quasi-static and dynamic compressive tests were carried out on seven different aluminum foam materials.
试验中采用两种加载方式：一种为不同应变速率下的双向比例加载，另一种为保持一向恒定侧压下的动态压缩试验。
Two cases of loading types were adopted: one was biaxial proportional dynamic loading and the other was axial dynamic loading with one-side constant confining pressure.
试验结果表明，花岗岩的动态压缩和动态劈裂拉伸的力学性能表现出显著的应变率效应。
Test results show that granite dynamic mechanical behavior of compression and splitting tensile has distinguishable strain rate effect.
结果表明；我们可以利用压缩疲劳试验生热与生热—试验时间曲线来评估硫化胶的动态性能与耐热性能。
The test results show that we may estimate the dynamic and the thermal-resistant properties with the produced heat and the curve of the produced heat by the test time.
结果表明；我们可以利用压缩疲劳试验生热与生热—试验时间曲线来评估硫化胶的动态性能与耐热性能。
The test results show that we may estimate the dynamic and the thermal-resistant properties with the produced heat and the curve of the produced heat by the test time.
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