Numerical simulation on compressive strength of waste fiber recycled concrete based on Python.

Jinghai Zhou; Hanglin Yu; Junwen Lu; Tianbei Kang; Yue Qi

doi:10.1117/12.2667407

28 March 2023 Numerical simulation on compressive strength of waste fiber recycled concrete based on Python.

Jinghai Zhou, Hanglin Yu, Junwen Lu, Tianbei Kang, Yue Qi

Proceedings Volume 12566, Fifth International Conference on Computer Information Science and Artificial Intelligence (CISAI 2022); 1256611 (2023) https://doi.org/10.1117/12.2667407
Event: Fifth International Conference on Computer Information Science and Artificial Intelligence (CISAI 2022), 2022, Chongqing, China

Abstract

At present, the mesoscale simulation of waste fiber recycled concrete is regarded as a two-phase medium composed of recycled concrete and waste fiber. It is only studied in two dimensions, the three-dimensional fine and microscopic model of waste fiber recycled concrete is not established. In this paper, mesoscale numerical simulations on the compressive strength of waste fiber recycled concrete are performed based on Python. The recycled concrete is considered as a multiphase body consisting of aggregates, old and new mortar, and interface. A random distribution model of recycled aggregates based on the Monte Carlo method is written in Python language. Thus, the mesoscale three-dimensional (3D) numerical model of waste fiber recycled concrete is established. By comparing the results of the compressive strength test with the simulation, it can be seen that the model based on Python can more accurately reflect the damage pattern and compressive strength of waste fiber recycled concrete under pressure.

Citation Download Citation

Jinghai Zhou, Hanglin Yu, Junwen Lu, Tianbei Kang, and Yue Qi "Numerical simulation on compressive strength of waste fiber recycled concrete based on Python.", Proc. SPIE 12566, Fifth International Conference on Computer Information Science and Artificial Intelligence (CISAI 2022), 1256611 (28 March 2023); https://doi.org/10.1117/12.2667407

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