摘要
采用当前方法对火灾下城市综合管廊结构损伤进行数值模拟时,得到模拟结果与实际结果之间的误差较大,存在模拟精准度低的问题,为此该文提出不同截面形式城市综合管廊火灾结构损伤数值模拟方法。首先构建城市综合管廊结构的土体弹塑性本构模型,然后对城市综合管廊结构进行静力分析,同时采用FDS火灾模拟软件在土体弹塑性本构模型的基础上通过网格划分、设定初始条件及边界条件,构建城市综合管廊结构有限元模型,最后通过构建的有限元模型对火灾下不同截面形式的城市综合管廊结构损伤进行数值模拟。实验结果表明,火灾温度梯度在结构径向中较大,城市综合管廊火灾结构在火灾下的损伤数值可控制在一定范围内的,所提方法的模拟精准度较高。
When the current method is used to simulate the structural damage of urban comprehensive pipe gallery under fire, the error between the simulation results and the actual results is large, and the accuracy of simulation is low. Therefore we propose a numerical simulation method for the structural damage of urban comprehensive pipe gallery under fire with different cross-sections. Firstly, the elastoplastic constitutive model of the soil mass of the urban comprehensive pipe gallery structure is constructed, and then the static analysis of the urban comprehensive pipe gallery structure is carried out. At the same time, the FDS fire simulation software is used to construct the elastoplastic constitutive model of the soil mass based on the grid division, setting the initial conditions and boundary conditions The finite element model of urban comprehensive pipe gallery structure is established. Finally, the damage of urban comprehensive pipe gallery structure with different cross-sections under fire is simulated by the finite element model. The experimental results show that the fire temperature gradient is larger in the radial direction of the structure, and the damage value of the fire structure of the urban comprehensive pipe gallery can be controlled within a certain range. The simulation accuracy of the proposed method is higher.
作者
王艺卓
于晋臣
WANG Yizhuo;YU Jinchen(School of Management,Xian University of Architecture and Technology,Xi’an 710055,China;School of Science,Shandong Jiaotong University,Jinan 250357,China)
出处
《灾害学》
CSCD
北大核心
2020年第4期187-191,共5页
Journal of Catastrophology
基金
国家自然科学基金项目(51978020)。
关键词
城市综合管廊
火灾
结构损伤
数值模拟
有限元模型
urban comprehensive pipe gallery
fire
structural damage
numerical simulation
finite element model