摘要
为了提高公路箱梁桥的建设质量,降低箱梁桥在施工和运营期间开裂的可能性,以当枝松高速公路预应力混凝土变截面连续箱梁杨家洲大桥为例,利用数值计算软件建立桥梁上部结构的计算模型,分析了纵向预应力损失、腹板厚度对箱梁桥腹板开裂的影响,分析了底板厚度、抛物线次数、横隔板对箱梁桥腹板开裂的影响。根据计算结果发现预应力损失越大,腹板受力越大,开裂的可能性越大;增大底板厚度、设置横隔板后,能改善箱梁桥的底板受力,降低底板开裂的可能性。用数值计算软件模拟了箱梁桥腹板和底板的开裂,引入相对误差“X”的概念来评价了裂缝尺寸计算值和实际值的误差。经检验,箱梁桥腹板和底板5条裂缝的长度和宽度的相对误差均为5.0%内,满足设计文件要求。
In order to improve the construction quality of highway box girder bridges and reduce the possibility of box girder bridges cracking during construction and operation.Taking the Yangjiazhou Bridge of the Dangzhisong Expressway prestressed concrete variable section continuous box girder as an example,a numerical calculation software was used to establish a calculation model for the upper structure of the bridge.The study analyzed the impact of longitudinal prestress loss and web thickness on the cracking of the box girder's web,as well as the influence of bottom plate thickness,parabolic order,and transverse diaphragm on the cracking of the box girder's web.It is found that the greater the prestress loss is,the greater the web stress is,and the greater the possibility of cracking is increasing the thickness of the bottom plate and setting the diaphragm can improve the bottom plate stress of the box girder bridge and reduce the possibility of the bottom plate cracking.Subsequently,the cracking of webs and soleplates of box girder bridges is simulated by numerical calculation software,the concept of relative error“X”is introduced to evaluate the error between calculated value and actual value of crack size.By inspection,the relative error of the length and width of the 5 cracks in the web and floor of the box girder bridge is all within 5.0%,which meets the requirements of the design documents.
作者
闫杰森
吴荣国
YAN Jiesen;WU Rongguo(Hubei Highway and Waterway Engineering Consulting and Supervision Co.,Ltd.,Wuhan,Hubei 430050,China)
出处
《黑龙江交通科技》
2025年第5期78-81,86,共5页
Communications Science and Technology Heilongjiang
关键词
预应力混凝土
箱梁桥
结构开裂
影响因素
加固措施
prestressed concrete
box girder bridge
structural cracking
influencing factors
reinforcement measures
