在混凝土大坝抗震可靠度分析中，大多数功能函数不一定能显式给出，目前一般使用几何法求解，由于存在各种假定和近似，几何法不是一种完备的求解方法, 对非线性问题求解繁琐甚至困难。由于人工神经网络高度的非线性映射能力及对残缺不全或模糊随机的不确定信息较强的容错能力，本文提出采用BP 神经网络模型来预测大坝的抗震可靠度。并应用于采集到的22 个混凝土重力坝断面数据，得到比较满意的预测结果，证明应用人工神经网络预测大坝抗震可靠度是可行的。

介绍了有关海滩侵蚀造成海岸演变问题的数学分析模型。根据海岸线演化和海滩断面的沉积物迁移理论建立一种 顺岸方向和垂直岸线方向海岸形状变化的耦合模型。将海滩沉积物被海浪迁移的机理看作由于海水在滩介质孔隙内渗流侵蚀和海浪对海滩介质冲刷所致的海滩介质的孔隙损伤变化。这种结合数值和解析分析的综合方法可用于模拟海岸演变问题中海岸线（沿岸方向）和海滩断面（垂直岸线方向）的变迁情况。

This paper concerns the development of a computational model for the damage evolution of engineering materials under dynamic loading. Two models describing the anisotropic damage evolution of a material are presented; the first is based on a power function of the effective equivalent stress and the second on the damage strain energy release rate. The methods for computing the damage accumulated in structural components and their implementation in a finite element programme are presented together with some numerical results. The dynamic response of a damaged structural component and the dynamic behaviour of a damaged material have been studied numerically. This study shows that the frequency spectrum of a damaged structure is down-shifted, while the damping ratio of damaged materials becomes higher, the amplitude of the response significantly increases and the resonance ensuing from the damage growth still occurs in a damaged structure.

This paper presents an analytical method to explain the role of gas energy in the occurrence of coal/gas outbursts. The main thrust of the method proposed in this paper is to compare the elastic work to be done for outbursts to occur with the released potential energy which includes the strain energy stored in coal seams and the internal gas energy due to desorption and expansion of methane gas in coal seams. It has been found that the release of gas energy due to desorption of methane from the coal matrix to the pores is the major cause for the occurrence of outbursts. Further, the results of the numerical analysis have been presented to illustrate the influence of various parameters on the energy release during outbursts.