摘要
为对改良膨胀土胀缩性等级进行准确评价,以便在实际工程中采取相应处置措施,减少改良膨胀土地基灾害的发生,在综合考虑传统方法的不足与改良膨胀土自身特性的基础上,选取5项定量化评价指标建立指标评价体系,采用熵权法确定各指标权重,结合模糊处理领域具有突出优势的直觉模糊集建立熵权-直觉模糊集模型,实现对改良膨胀土胀缩性等级定量化评价。以4组不同煤矸石掺量的膨胀土为例,对建立的模型进行验证,并与柯尊敬分类法、模糊数学法和膨胀潜势法的结果对比,结果表明,熵权-直觉模糊集模型对煤矸石改良膨胀土胀缩性等级评价具有良好的实用性与可靠性,可为类似改良土评价问题提供技术参考。
In order to accurately evaluate the expansion and shrinkage grade of the improved expansive soil,so as to adopt the corresponding disposal measures in the actual project to reduce the occurrence of the disaster of the improved expansive soil foundation,on the basis of comprehensive consideration of the shortcomings of traditional methods and the characteristics of expansive soil,five quantitative evaluation indexes were selected to establish an index evaluation system,and the weight of each index was determined by entropy method.The entropy weight-intuitionistic fuzzy set model was established by combining the intuitionistic fuzzy sets with outstanding advantages in the field of fuzzy processing,and the quantitative evaluation of the expansion and shrinkage grade of the improved expansive soil was realized.Four groups of expansive soils with different amount of coal gangue were used to verify the model,and the results were compared with those of Ke Zunjing classification,fuzzy mathematics method and expansion potential method.The results showed that the entropy weight-intuitionistic fuzzy set model had good practicability and reliability for the evaluation of swelling and shrinkage grade of coal gangue improved expansive soil,and it provided a reference for the evaluation of similar improved soil.
作者
高树增
张雁
GAO Shuzeng;ZHANG Yan(College of Energy and Transportation Engineering,Inner Mongolia Agricultural University,Hohhot 010018,Inner Mongolia,China;First Engi-neering Co.,Ltd.,China Railway Shanghai Engineering Bureau Group,Wuhu 241000,Anhui,China)
出处
《河南理工大学学报（自然科学版）》
CAS
北大核心
2020年第3期131-138,共8页
Journal of Henan Polytechnic University（Natural Science）
基金
国家自然科学基金资助项目(51669025)。
关键词
改良膨胀土
胀缩性
熵权直觉模糊集
等级评价
improved expansive soil
expansion and shrinkage
entropy weight intuitionistic fuzzy set
grade evaluation
