摘要
为了探究再生混凝土塑性损伤性能,结合Sidoroff能量等价原理,研究了CDP模型的塑性损伤因子、非弹性应变、开裂应变等关键参数,构建了基于随机多边形骨料、老砂浆、新砂浆、骨料-老砂浆界面、老-新砂浆界面、骨料-新砂浆界面的再生混凝土细观结构模型,研究了轴向压位移和拉位移作用下再生混凝土的损伤开展过程、各向应力水平、破坏形态、损伤值等关键力学性能,并将结果与试验结果进行了对比分析。研究表明:基于能量等价原理的损伤因子适用于ABAQUS建模,该方法简洁、收敛性好。再生混凝土受压损伤破坏云图呈“V”形,受拉损伤破坏云图呈“一”形,其受拉损伤和受压损伤均已达到0.956,模拟计算结果与试验结果吻合较好,表明基于随机多边形骨料的再生混凝土细观模型真实,计算方法合理。
In line with the principle of Sidoroff energy equivalence,the key parameters of CDP model such as plastic damage factor,inelastic strain,and cracking strain were studied.A meso-structure model of recycled concrete was designed based on random polygonal aggregate,old mortar,new mortar,aggregate-old mortar interface,old-new mortar interface and aggregate-new mortar interface.Some crucial compression and tension properties of recycled concrete were studied,including damage development process,stress level in all directions,failure forms,and damage values.The calculation results were compared and analyzed with test results.Research shows that the damage factors based on the principle of energy equivalence is suitable for ABAQUS modeling,and this modeling method is concise and of good convergence.The cloud diagram of compression damage of recycled concrete displays V-shape,while tension damage I-shape,and the tensile and compression damage values both reached 0.956.The simulation calculation results are in good agreement with the test results,indicating that the mesoscopic model of recycled concrete based on random polygonal aggregates is rational.
作者
姚泽良
崔婷婷
党发宁
闻硕
令狐恬晶
祁亚伦
YAO Ze-liang;CUI Ting-ting;DANG Fa-ning;WEN Shuo;LINGHU Tian-jing;QI Ya-lun(School of Civil Engineering and Architecture,Xi’an University of Technology,Xi’an 710048,China;State Key Laboratory of Eco-hydraulics in Northwest Arid Region,Xi’an University of Technology,Xi’an 710048,China)
出处
《长江科学院院报》
CSCD
北大核心
2022年第9期131-136,143,共7页
Journal of Changjiang River Scientific Research Institute
基金
国家自然科学基金项目(51208422)
陕西省教育厅重点项目(20JS092)。
关键词
再生混凝土
塑性损伤
六相材料
多边形随机骨料
细观性能
recycled concrete
plastic damage
six-phase material
polygonal random aggregate
mesoscopic properties