A novel method to identify the index of node importance and the critical path from the view of system theory, information theory and control theory is proposed in this paper to improve project management level and reduce and evade risks in project management. Bayesian theory and H_infin control strategy is used to study risks for dam safety on the basis of analyzing multi-scaling characteristics of risks. This method is used to identify key nodes and the critical path. In order to shorten the early warning time and control key nodes and the critical path, the trained DBN is adopted in risk management and robust control strategy is used in calculating the control water level. Then project risks can be controlled and a new decision support system can be provided for project management. The application of the proposed method to a case study shows that the method is reliable and practical.

The trajectory planning of UAV with nonholonomic constraints is usually taken as differential algebraic equation to solve the optimal control problem of functional extremum under the condition of inequality constraints. However, it can be challenging to meet the requirements of real-time for the high complexity. A differential flat theory based on B-spline trajectory planning can replace the optimal control problem with nonlinear programming and be a good means to achieve the efficient trajectory planning of an UAV under multiple dynamic constraints. This research verifies the feasibility of this theory with actual flight experiments.

Orthotropic materials and components are widely used in various engineering fields, such as aerospace, energy, infrastructure, and water conservancy projects. The orthotropic components such as slabs and beams cannot be investigated accurately by using traditional beam theory because it is unable to take more elastic constants into account. The precise stress distribution of orthotropic simply supported beams of any thickness is determined in this article. Meanwhile, all undetermined coefficients of the stress function are derived by performing a Fourier sine series expansion upon the bottom and top surfaces of the beam. It shows that the resolution corresponds well with the numerical analysis findings from the finite element method. It indicates rapid convergence and can obtain high-precision and high stress analysis results, which has a good application prospect in engineering.