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| Establishment of mesoscopic stochastic models of concrete in three dimensions based on Python-Abaqus |
| Received:April 12, 2021 Revised:September 17, 2021 |
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| DOI：10.7511/jslx20210412001 |
| KeyWord:mesoscopic stochastic model python script secondary development mesh generation numerical simulation |
| Author | Institution |
| 吴宇航 |
湘潭大学 土木工程与力学学院, 湘潭 |
| 肖映雄 |
湘潭大学 土木工程与力学学院, 湘潭 |
| 徐亚飞 |
湘潭大学 土木工程与力学学院, 湘潭 |
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| Abstract: |
| The mesoscopic stochastic models of concrete treat it as a three-phase composite material which consists of coarse aggregates,mortar and interfacial transition zones (ITZs).An appropriate random aggregate model by considering the actual gradation,content and shape of aggregates is the basis of numerical simulation of mesomechanical behaviors of concrete.In this paper,the secondary development of ABAQUS is realized by writing Python script in order to obtain three-dimensional mesoscopic stochastic models of concrete which contain spherical aggregates,ellipsoidal aggregates (gravels) and concave-convex polyhedron aggregates (crushed stones) with ITZs,respectively.The corresponding results have shown that the volume fraction of spherical aggregates can exceed 55% in cases of different gradations and the resulting ellipsoidal aggregates and polyhedral aggregates are also basically same as the shape of the actual aggregates.At the same time,a so-called intrusion detection method by Boole cutting is proposed,which can obviously improve content of aggregates.The corresponding packing tests are successfully performed for ellipsoid aggregates and polyhedral aggregates by using this method.Since the coarse aggregates,mortar and ITZs are automatically separated in the resulting program,the complex element attribute discrimination can be avoided in mesh generation.The resulting meshes can well meet the conforming requirements among coarse aggregates,mortar and ITZs.Finally,numerical simulation of uniaxial static compression is performed by using the resulting geometric models and the reliability of mesoscopic stochastic models of concrete is further verified. |
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