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Study On The Highway Engineering Classification Of Inland Saline Soil

Posted on:2011-09-17Degree:MasterType:Thesis
Country:ChinaCandidate:J L LiangFull Text:PDF
GTID:2132360308960276Subject:Road and Railway Engineering
Abstract/Summary:PDF Full Text Request
The identification and classification with indicators for saline soil has much influence on formulating the engineering measures, therefore, choosing reasonable indications to reflect the engineering properties of saline soil is most important. This paper makes a start with the study on the salt heaving characteristics of sulfate saline soil and the melt sinking rules of chlorate saline soil, malyzing water,salt,mechanics and temperature impact on the engineering properties of saline soil. According the levels of distress to divide the degrees of saline soil and determine the dividing value of influencing factors.With the investigation of the highway distress characteristics in typical saline soil area and the summarization of the relevantly experimental study on the indoor engineering properties and field test, summarizing and analyzing the classifications date for the saline soil at home and abroad. With those study and close connection with the construction of highway production practices, it is the first time to establish systematically a comprehensive system of saline soil highway engineering classification with indicators of salinity, salt content, water content and temperature which exert influence on saline soil engineering properties. According to the system of classification, the availability of saline soil in saline soil areas and the reasonable structure of the subgrade and the pavement are brought forward. And the targeted control measures in saline soil have been proposed.A fuzzy comprehensive evaluation—grey relational preponderance analysis complex model of saline soil has been proposed in this paper. Using the object weigh fuzzy pattern recognition cross-iteration model to select the weight of the various influence factors, it could avoid the human interference and be able to intuitively reflect the primary and secondary factors. To analysis samples of different factors level, it shows that utilization of this model could be better to evaluate on the expansion of saline soil.This research papers has important theoretical and practical application value to improve the relevant norms of order and guide in saline soil area road construction.
Keywords/Search Tags:saline soil, engineering classification, fuzzy comprehensive evaluation, grey relational
PDF Full Text Request
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