基于云模型的膨胀土胀缩等级分类

由于膨胀土胀缩性受多种因素的综合影响,膨胀土胀缩等级的分类是膨胀土处理中的一个难题。选取影响膨胀土胀缩性的5个主要因素作为评判指标,根据分类标准,构建云模型及云的不确定性推理,将各评判指标的定性评语量化为分值,实现定性与定量的转换。在此基础上,利用在各级别区间内随机插值得到的20个标准样本,基于优化理论求出评判指标的客观权重,结合主观权重,得到组合权重。最后,将建立的膨胀土胀缩等级分类模型应用到某实际工程,结合权重和云的不确定性推理,得到待判样本的综合得分,并确定样本的胀缩等级,分类结果与实际情况相吻合,验证了模型的可行性和适用性,该模型可以用于类似工程的膨胀土胀缩等级分类。

Classification of Swelling-shrinkage Grade of Expansive Soils Based on Cloud Model

Due to comprehensive effects of many factors on the swelling-shrinkage of expansive soils, it is difficult to determine the classification of the swelling-shrinkage grade in the process of expansive soil treatment. In this paper, five key factors were chosen as the assessment indexes to construct a cloud model and carry out the uncertain reasoning on the basis of the classification standards, and the qualitative comment of each assessment index was translated into quantitative value to achieve the transition from a qualitative concept to a quantitative data. Furthermore, according to the optimization theory, the objective weights were obtained by using twenty standard samples produced through stochastic interpolation in each grade interval. In association with the subjective weights, the combined weights were calculated. Finally, the new model was applied to practical projects in consideration of the combined weights and the uncertain reasoning, and the total scores and the swelling-shrinkage grades were acquired. Results show that the classification results fit well with the actual situation. The feasibility and applicability of the proposed model are verified. It offers reference to the classification of swelling-shrinkage grade of expansive soils in similar projects.