高層建筑軟土深基坑施工風(fēng)險管理研究
[Abstract]:With the development of our economy and the progress of engineering technology, high-rise and super-high-rise building projects are constantly emerging, and underground space is constantly being developed and utilized. The construction technology of deep foundation pit is becoming more and more demanding and the construction difficulty is becoming more and more difficult. Based on the characteristics of deep foundation pit construction project, there will be many uncertain factors in the construction process, which will lead to various risks. If the construction risk is not properly managed, it will cause serious consequences. It has become an urgent research topic to improve the risk management level of deep foundation pit construction and reduce the accident rate and accident loss as far as possible. On the basis of theoretical analysis, this paper uses fault tree analysis method to study the risk of deep foundation pit in high-rise soft soil, and constructs a set of complete fault tree theory of soft soil deep foundation pit, which is based on the traditional fault tree analysis. The Bayesian network is used to improve it to solve the problem of complicated analysis and low efficiency probabilistic solution in the process of traditional fault tree analysis. The basic probability of the basic bottom event is evaluated by expert investigation method in order to achieve risk identification. The purpose of risk warning. On the basis of this, the paper puts forward the measures to deal with the risks in accordance with the characteristics of the project to ensure the safety of the construction of the structure. Through investigation and investigation, this paper constructs a perfect fault tree analysis system, starting from two aspects of engineering technology and personnel consciousness, constructs a complete network system legend of fault tree analysis, which is composed of 1 top event, 15 intermediate events and 33 bottom events for the first time. In the traditional fault tree analysis system, the Bayesian network is improved and innovated. The probability relation between the two is converted by means of sub-node probability table, and the Bayesian network is constructed. The improved algorithm has high computational efficiency and simple algorithm. It is helpful to analyze the probability of risk top event quickly, and to get the corresponding probability of intermediate node intuitively; to use the traditional fault tree method to analyze the correlation degree of bottom event, and to get the bottom event with the highest correlation degree of top event. It is helpful to avoid the failure of top event by controlling the probability of bottom event. The basic probability of bottom event is evaluated by expert investigation method, and the concept of increasing expert weight according to expert knowledge reserve is put forward. Through the study of risk management in deep foundation pit construction in this paper, not only can the risk control in deep foundation pit construction process be strengthened, but also the accidents of deep foundation pit construction can be reduced, and the safety and smooth progress of engineering project can be ensured. At the same time, the mathematical algorithm model is adopted. The complete probability calculation model is constructed, and the existing model is innovated and improved in order to obtain the efficient evaluation method and to carry out risk management and control quickly.
【學(xué)位授予單位】:湖北工業(yè)大學(xué)
【學(xué)位級別】:碩士
【學(xué)位授予年份】:2017
【分類號】:TU753;TU71
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