Reliability Analysis Of Steel Reinforced Concrete Structure

Steel reinforced concrete structures are mainly applied in tall buildings of aseismic fortification district, during design reference period they need to resist not only load action of upper structure but also earthquake action, so safety and reliability of them must be sufficed. Whereas aseismic reliability study on steel reinforced concrete structures under frequent earthquake action is still insufficient, reliability analysis of steel reinforced concrete beams is presented in this paper with the modified advice, many reliability analysis methods are compiled in MATLAB environment to compute the reliability indexes of topical examples in engineering, and meanwhile influences of some basic random variables on reliability indexes are studied. In the further work, steel reinforced concrete beams are regarded as tandem systems with flexure pattern and shear pattern, the system reliability indexes are obtained, and the ratios of shear failure to total failure as well. In addition, the problem which sensitivity analysis cannot be operated with Monte-Carlo direct sampling method is well settled by way of Jacobian matrix. The deficiency of serviceability, will cause steel reinforced concrete structures to lose capability ahead of scheduled design working life. So this paper discuss serviceability's reliability with consideration of width of crack and deflection separately, as is to obtain steel reinforced concrete structure beams'reliability index possible concentration intervals when all random variables'influences are taken into account, and to analysis the difference for reliability between house and office building. Furthermore, in order to promote sampling efficiency, computing theorem and selecting checking point of Monte-Carlo important sampling method are introduced in this paper, and two parameters are put forward for Monte-Carlo important sampling as maximum value and minimum value of sampling times. In this paper reliability analysis of steel reinforced concrete structures controlled by displacement limit under wind load are also analyzed with finite element method, then sampling efficiency and calculational precision of three numerical simulation methods are compared, which are Monte Carlo direct sampling method, Latin hypercube sampling method and response surface method. Unfortunately, those methods are not faultless when they are employed to simulate small probability of failure. So about 200 times of structural analysis are suggested with Latin hypercube sampling method at first, then the probabilistic distribution and statistic parameters of the structural peak displacement are obtained, and finally probability of failure can be calculated with the aid of direct integral method.