Abstract:Engineering projects often face a great number of uncertainties which will lead projects to deviate from the anticipated objective. This paper carried out a detailed study on real-time monitoring of objective deviation in engineering projects, and it will help project managers monitor the state of engineering project better. A Grid Management (GM) method was used to set up a monitor structure, and the real-time monitor grid structure was constructed in level, milestone and objective dimensions. The buffer analysis method was designed to measure the level of objective deviation. The objective deviation level is based on the result of the grid cell buffer analysis. The principal part construction of Shenyang Olympic Tennis court was selected as the example to illustrate the real-time monitor process in detail. The results indicated that the proposed real-time objective monitor method makes it possible for project manager to real-time monitor all the main objectives in one model and carry out management, and decision-making in a more macro perspective.

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Along with engineering projects scale's expansion and projects quantity's increase, the owner more and more use EPC (Engineering Procurement and Construction) contract management pattern to raise the efficiency, reduce costs and transfer the majority of the project risks to the contractors. EPC contractors face bigger risks whose factors are complex throughout the processes of design, procurement and construction. Therefore, risk controlling has become an important part of the EPC contractor management. If the risk rank can be identified as soon as it appeared, followed by appropriate measures taken by the contractor, the loss of the contractor can be substantially reduced. In this paper, we combine the methodology of principal component analysis and neural network to choose projects statistical data that the contractor has completed as training data of the neural network. Then the EPC contractor risk early-warning system could be established. This system could divide the rank of the risk among the project process into three grades: slight risk, medium risk, and heavy risk, so that the contractor could make accordingly decisions in time based on the result of this system. Abstract-This electronic document is a "live" template.

The ocean contains a substantial amount of energy, and the efficient harvesting of this energy holds significant importance. Drawing inspiration from the biomimicry of octopus tentacles, this study introduces a synergistic mechanism designed to optimize energy harvesting through flowinduced motions, integrating boundary layer modulation via passive turbulence control (PTC) with dynamic system stiffness adjustments via time-varying stiffness (SIN & Trapezoidal patterns). The implementation of PTC facilitates global stability by managing the local instabilities caused by variable stiffness, culminating in a highly effective energy harvesting capability. Our investigations summarize the requisite conditions for peak energy harvesting efficacy, notably within the SIN/80° PTC and Trapezoid/60° PTC arrangements, which have been demonstrated to double the efficiency of energy harvesting with up to 57%, alongside a reduction in initial harvesting frequency and an enhancement in both instantaneous power output and vibration amplitude. Furthermore, an energy transfer characteristic map has been compiled to illustrate the mechanism coupled between boundary layer modulation and time-varying stiffness. This research not only introduces novel perspectives but also stands as a significant stride in the realm of wide band and efficient energy harvesting in the ocean.