In the design process of berm breakwaters, their front slope recession has an inevitable rule in large number of model tests, and this parameter being studied. This research draws its data from Moghim＇s and Shekari＇...In the design process of berm breakwaters, their front slope recession has an inevitable rule in large number of model tests, and this parameter being studied. This research draws its data from Moghim＇s and Shekari＇s experiment results. These experiments consist of two different 2D model tests in two wave flumes, in which the berm recession to different sea state and structural parameters have been studied. Irregular waves with a JONSWAP spectrum were used in both test series. A total of 412 test results were used to cover the impact of sea state conditions such as wave height, wave period, storm duration and water depth at the toe of the structure, and structural parameters such as berm elevation from still water level, berm width and stone diameter on berm recession parameters. In this paper, a new set of equations for berm recession is derived using the M5＇ model tree as a machine learning approach. A comparison is made between the estimations by the new formula and the formulae recently given by other researchers to show the preference of new M5＇ approach.展开更多
This article reports a study using a self-reporting questionnaire adapted from Reid (1987) toexamine the preferred learning styles of the students majoring in English in Hubei Three Gorges Univer-sity Humanities’ Col...This article reports a study using a self-reporting questionnaire adapted from Reid (1987) toexamine the preferred learning styles of the students majoring in English in Hubei Three Gorges Univer-sity Humanities’ College,Hubei,China.Based on the results the study generated,activities were createdthat could reflect the students’ learning style preferences.These activities were effective in motivatingour students and developing productive language skills.展开更多
文摘In the design process of berm breakwaters, their front slope recession has an inevitable rule in large number of model tests, and this parameter being studied. This research draws its data from Moghim＇s and Shekari＇s experiment results. These experiments consist of two different 2D model tests in two wave flumes, in which the berm recession to different sea state and structural parameters have been studied. Irregular waves with a JONSWAP spectrum were used in both test series. A total of 412 test results were used to cover the impact of sea state conditions such as wave height, wave period, storm duration and water depth at the toe of the structure, and structural parameters such as berm elevation from still water level, berm width and stone diameter on berm recession parameters. In this paper, a new set of equations for berm recession is derived using the M5＇ model tree as a machine learning approach. A comparison is made between the estimations by the new formula and the formulae recently given by other researchers to show the preference of new M5＇ approach.
文摘This article reports a study using a self-reporting questionnaire adapted from Reid (1987) toexamine the preferred learning styles of the students majoring in English in Hubei Three Gorges Univer-sity Humanities’ College,Hubei,China.Based on the results the study generated,activities were createdthat could reflect the students’ learning style preferences.These activities were effective in motivatingour students and developing productive language skills.
