This article introduced the principle of high speed hydraulic compactor application in the backfill of bridge platform and its advantages. At the same time, the example is analyzed with the high speed hydraulic compactor treated the soil, which is backfilled in the bridge platform. The result shows that the high speed hydraulic compactor can effectively reinforce the bridge platform soil backfilled, which can reduce the settlement and the bridge platform jump after opening to traffic.
As a convenient and rapid nondestructive testing method, transient Rayleigh wave has an increasingly wide range of applications in engineering, and the testing result is increasingly accepted in the engineering domain. With engineering examples, this article mainly analyzed the nondestructive testing principle and detected the data processing method. By analyzing the engineering example that using transient Rayleigh wave method to detect the effect of dynamic compaction about foundation, the conclusion that transient Rayleigh wave could conveniently and rapidly detect the effect of dynamic compaction about roadbed of the expressway was farther proved, which has certain provide engineering significance for the future engineering detection.
On the basis of introduced basic principle of fuzzy-artificial neural network, this article constructed a slope stability assessment index system with multi-level fuzzy neural network, and made detailed evaluation criterion according to the assessment characteristics of slope stability. Through introducing the basic principle of multi-level comprehensive assessment from fuzzy mathematics and artificial neural network theory, it overcomes the defect of difficult to be quantified in evaluation process of slope stability. Therefore, it can be better to deal with some uncertain problems occurred in the slope stability assessment process, and as much as possible to express all factors influencing slope stability really and objectively. We selected 20 single factor evaluation indexes to assess slope stability based on surveying the high slope stability in Mian county-Ningqiang county freeway section. It took "normal distribution model function" as a membership function to develop a program with the model of fuzzy neural network. Furthermore, we took 30 typical slope examples as training sample to conduct effectiveness test and feedback test for the program. After the precision requirement was met, we used the program to evaluate 21 high slope examples and compared the results with the ones solved by traditional mechanical methods. The coincidence degree by using two kinds of methods to assess the same slope stability is 76.2%.
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