基于LDPM模型的胶凝砂砾石料细观力学性能
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TV76

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中央高校基本科研业务费专项(2016B41214);2016江苏省研究生培养创新工程(KYLX16_0748);国家重点研发计划(2018YFC0406804)


Meso-mechanical property of CSG based on LDPM
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    摘要:

    通过室内单轴抗压强度试验,探究不同水泥掺量对胶凝砂砾石料力学性能的影响。结果表明:随着水泥掺量的提高,胶凝砂砾石料弹性模量及抗压强度逐渐增大,其力学性能由类似于堆石料逐渐演变为类似于碾压混凝土。为了研究材料的破坏机理,采用细观格构离散粒子模型(lattice discrete particle model,LDPM),建立材料细观模型,对胶凝砂砾石料单轴受压状态下细观裂缝扩展情况进行模拟,数值模拟得到的应力-应变曲线与实验数据相吻合;通过裂缝开度云图可以看出,在弹性阶段几乎没有裂缝产生,直至轴向应力达到抗压强度值后,裂缝逐渐萌生、扩展,最终形成平行于压力方向的多条裂纹,导致试件破坏。裂缝主要延砂浆与骨料之间的界面层扩展,骨料基本未破碎。通过LDPM模型可以有效模拟胶凝砂砾石料细观裂缝的形成与发展机理。

    Abstract:

    By the uniaxial compressive strength test in laboratory, the mechanical properties of the cemented sand and gravel(CSG)material were investigated under the conditions that cement contents were 40 kg/m3, 60 kg/m3, 80 kg/m3, and 100 kg/m3, respectively. Experimental results show that as the increase of cement content, the elastic modulus and compressive strength gradually increase, and their mechanical properties gradually evolve from those similar to rockfill materials to those similar to RCC. In order to study the failure mechanism of material, the lattice discrete particle method(LDPM)was used to establish a meso-scale model, and the crack propagation behavior under the uniaxial compression was simulated. The curves fit well with the experimental data. In addition, from the cloud diagram of crack opening, there are almost no cracks in the elastic stage. After the axial stress reaches the compressive strength value, the crack gradually initiates and expands, finally forms multiple fractures parallel to the pressure direction, and causes damage to the specimen. The cracks mainly extend along the interfacial layer between mortar and aggregate, while the aggregate is not broken at all. The results show that the formation and developing mechanism of meso-crack of CSG material can be effectively simulated by the LDPM.

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蔡新,陈姣姣,李家云.基于LDPM模型的胶凝砂砾石料细观力学性能[J].河海大学学报(自然科学版),2019,47(6):523-528.(CAI Xin, CHEN Jiaojiao, LI Jiayun. Meso-mechanical property of CSG based on LDPM[J]. Journal of Hohai University (Natural Sciences),2019,47(6):523-528.(in Chinese))

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  • 在线发布日期: 2019-11-25
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