To address Superpave graded and AC graded asphalt mixture, bending test at low temperature and thermal stress restrained sample tests are used respectively to evaluate the low temperature performance of asphalt mixture. Meanwhile, contrast analysis of the two test methods and the low temperature performance of two asphalt mixture are studied, too. The results show that Superpave method can effectively improve low temperature perfomance of asphalt mixture. In the thermal stress restrained sample tests, freezing temperature and transition point temperature can evaluate the low temperature cracking resistance of Superpave asphalt mixture well. In bending test at low temperature, bending strain energy density should be considered as evaluation index to the characterization for low temperature performance of asphalt mixture. That also closely meets the result of the rmal stress restrained sample tests.
By analysising the disadvantages of the current bid evaluation methods used in highway project,the article builds up TOPSIS model based on coefficient of entropy to evaluating bidding units. First,the weight of each index is calculated by means of entropy weight coefficient method. Then it makes comprehensive assessment about bid evaluation with entropy weight coefficient method and TOPSIS method. The proposed method is applied to evaluating information system integration solutions and satisfactory results are abtained.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.