摘要
为研究跨高速公路斜腿刚构天桥机械破拆施工过程中的受力状态,并优选破拆方案,依托某高速公路改扩建工程,通过现场实测,得到斜腿刚构跨线天桥在机械破拆施工过程中的变形及应力变化实测值。按照天桥现场机械破拆过程建立非线性数值模拟模型,进行仿真分析。对主梁跨中破拆、斜腿中部破拆、斜腿顶部主梁破拆方案进行比选,分析天桥倒塌模式。研究结果表明,仿真分析得到的天桥破坏过程和最终倒塌状态与实际情况基本一致;天桥倒塌预警值应参考竖向挠度,可取0.81作为折减系数;斜腿顶部主梁破拆方案为最优方案,具有倒塌顺利、无横桥向偏位、施工风险小等优点。
In order to study the stress state of the mechanical demolition construction process of the slant-legged rigid frame platform bridge across the expressway,and to optimize the demolition scheme,relying on a highway reconstruction and expansion project,the measured values of the deformation and stress changes of the slant-legged rigid frame platform bridge in the mechanical demolition construction process are obtained through field measurement.A nonlinear numerical simulation model is established according to the mechanical demolition process of the bridge site,and the simulation analysis is carried out.The mid-span demolition of the main beam,the middle demolition of the slant-legged and the demolition of the main beam at the top of the slant-legged are compared and selected,and the collapse mode of the platform bridge is analyzed.The research results show that the failure process and final collapse state of the platform bridge obtained by simulation analysis are basically consistent with the actual situation.The early warning value of platform bridge collapse should refer to the vertical deflection,and 0.81 can be taken as the reduction coefficient.The demolition scheme of the main beam at the top of the slant-legged is the optimal scheme,which has the advantages of smooth collapse,no transverse bridge deviation and small construction risk.
作者
王小华
庞立
袁朝华
于利存
WANG Xiaohua;PANG Li;YUAN Zhaohua;YU Licun(Qilu Expressway Co.,Ltd.,Jinan,Shandong250000,China;CCCC First Highway Consultants Co.,Ltd.,Xi’an,Shaanxi710075,China)
出处
《施工技术(中英文)》
CAS
2024年第15期52-57,75,共7页
Construction Technology
基金
国家重点研发计划(2022YFB2601900)
陕西省重点研发计划(2023-YBGY-221)
齐鲁高速公路股份有限公司科技研发项目(QL-2022162/KY-7)。
关键词
高速公路
天桥
拆除
倒塌
监测
数值模拟
expressway
platform bridge
demolition
collapse
monitoring
numerical simulation