Due to the influence of environmental conditions,poor management and operation,material degradation and other factors,the safety problems of high-piled wharf structures in seaports are widespread during service.This will not only affect the normal use of the wharf,causing huge economic losses,but also may pose a threat to the life safety of the wharf management personnel.Therefore,under the background of building China into a maritime power and vigorously developing marine transportation,the safety management of high-piled wharf structure in seaport is particularly important.At present,there are few researches on the safety assessment and pre-warning platform of the high-piled wharf in seaport,which are mostly applied to the construction stage of wharf,and cannot be applied to the whole life cycle of the structure.At the same time,the dynamic safety assessment and pre-warning methods considering the time-varying reliability of wharf under the influence of multiple factors have not been perfected,and the corresponding system platform is lacking.In view of the above problems,this paper took into account the durability failure of reinforced concrete structures,corrosion of steel pipe pile structures,weakening of soil strength and other factors,calculated the ultimate bearing capacity of the components,the whole and the bank slope of the high-piled wharf,and further analyzed the time-varying reliability of the high-piled wharf structure.On this basis,the safety assessment and pre-warning method of high-piled wharf based on time-varying reliability and measured displacement value was determined,and the construction of the structural safety assessment and pre-warning platform of high piled wharf was completed.The specific work includes the following aspects:(1)The mechanism of corrosion degradation of reinforced concrete structure and steel pipe pile structure under marine environment was analyzed,and the weakening law of long-term shear strength was analyzed.The reasonable deterioration model of material and soil was determined as the theoretical basis and parameter determination method for the calculation of ultimate bearing capacity and time-varying reliability of high-piled wharf structure.(2)The 10000 groups of Monte Carlo random simulation were carried out to simulate the degradation process of the wharf components resistance,and the probability distribution of resistance of different components was obtained at 11 time points.The three-dimensional finite element model of the whole wharf was established by using the large general finite element calculation software ANSYS.By Latin hypercube sampling method,random variables were extracted to calculate the ultimate bearing capacity of the wharf structure,and the probability distribution of the ultimate bearing capacity at 6 time points was obtained.On this basis,the time-varying probability model of ultimate bearing capacity of high-piled wharf components and the whole was established,and the time-varying reliability analysis model of wharf components and the whole was further established,which provides the basis for the safety assessment of high-piled wharf structure.(3)The limit displacement values of characteristic points of High Piled Wharf under different working conditions were calculated by numerical method,and the time-varying stability of bank slope was analyzed.The time-varying models of ultimate displacement of wharf structure,ultimate bearing capacity and ultimate displacement of bank slope were established to provide data support for safety pre-warning of wharf and bank slope.(4)Combined with the time-varying reliability analysis model of high-piled wharf structure and the time-varying model of wharf and bank slope limit displacement,a dynamic safety assessment and pre-warning method of high-piled wharf based on time-varying reliability and measured displacement value was established.Using Python language embedded SQLite database engine,the development of safety assessment and pre-warning platform system for specific high-piled wharf structure in seaport was realized. |