聚类通过比较数据的相似性和差异性，能发现数据的内在特征及分布规律，从而获得对数据更深刻的理解与认识。

By contrasting the similarity and dissimilarity in data, clustering can find out the data's inner characteristic and distribution rule, so we can obtain the further understanding.

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经过数据分析，揭示了罐壁应力变化、分布与传递的内在规律，为确保今后油罐举升方案的制定和安全实施提供了科学依据。

Based on the data analysis results, the laws of the stress change, distribution and transfer are primarily revealed, which can provide a scientific fundament for tank lifting in scenario and safety.

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为探求联合电解催化交换系统各单元中氚浓度空间分布和动态变化的内在规律，建立了D/T体系的气-液两元模型。

Dynamic theoretical model for heavy water detritiation combined electrolysis catalysis exchange system was built to investigate the tritium space distribution and dynamic behavior.

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