| 1. | Standard practice for calibration of the james static coefficient of friction machine
摩擦机的james静态系数校正的标准操作规程 |
| 2. | Identification of static coefficients of bridge section with artificial neural network
桥梁断面静力三分力系数的人工神经网络识别 |
| 3. | Standard test method for static coefficient of friction of polish - coated flooring surfaces as measured by the james machine
用james机测量抛光涂覆地板表面静摩擦系数的标准试验方法 |
| 4. | Static coefficients are defined to describe the static effect of wind on bridge , and the aerodynamic derivatives are used to describe the aerodynamic effect
静力三分力系数用于描述风对桥梁的静力作用，气动导数是颤振和抖振分析方法的核心。 |
| 5. | Then the study algorithm is improved to enhance the identification result of the aerodynamic derivatives , and different bp anns are built to identify the static coefficients
然后改进了学习算法以识别桥梁模型的气动导数，并采用了不同的bp网络识别桥梁模型的静力三分力系数。 |
| 6. | It is shown that this approach is feasible and can be applied in actual bridge engineering . some experiments are done in the wind tunnel to acquire enough samples including static coefficients and aerodynamic derivatives
为了获得足够的样本数，在西南交通大学风工程试验中心进行了9个模型试验，得到了模型的静力三分力系数和一个气动导数值。 |
