Three-dimensional high fidelity mesoscale rapid modelling algorithm for concrete

• Published in: Structures (Oxford) Vol. 70; p. 107561
• Main Authors: Sun, Li, Wang, Xingye, Zhang, Chunwei
• Format: Journal Article
• Language: English
• Published: Elsevier Ltd 01.12.2024
• Subjects: Concrete mesoscale model; Finite element analysis; Multiple tasks; Python script; Rapid modelling algorithm; Rapid modelling algorithm; Concrete mesoscale model; Finite element analysis; Multiple tasks; Python script
• ISSN: 2352-0124; 2352-0124
• DOI: 10.1016/j.istruc.2024.107561

This paper presents a novel computational algorithm to improve the three-dimensional (3D) mesoscale model of concrete, which provides several advanced features. As a key aspect, the traditional background mesh mapping method and material identification algorithms are ameliorated to make concrete model more consistent with its actual mesoscopic characteristics. Moreover, manual modelling and secondary development for modelling by ABAQUS/CAE are avoided because the finite element model is implemented by Python script, which executed multiple tasks such as randomly modelling, meshing model, extract or output model information etc. The proposed algorithm prominently reduces the time consumption in modelling compared with ordinary mesoscopic modelling process. Finally, the reliability and validity of this algorithm were rigorously demonstrated by finite element case studies of concrete specimens subjected to uniaxial compression and uniaxial tension. It is noteworthy that this algorithm is an integrated framework for modelling materials of the concrete class as an exceedingly helpful computer-aided tool. •The algorithm of the random aggregate method is clarified in detail.•The traditional background mesh mapping method is improved.•Multiple tasks are accomplished by using one Python script.•There is no need to use other software for modelling and meshing, which is convenient and efficient.•Experimental results under uniaxial compression and uniaxial tension can be reproduced.