A novel artificial intelligence-aided system to mine historical high-performance concrete data for optimizing mixture design

作者：

Highlights：

• The first phase builds the SOS-LSSVM predict the mechanical properties of the HPC.

• The second phase uses SOS to optimize the HPC mixture cost.

• SOS-LSSVM’s performance was the best model compared with three other AI.

• An interface platform was built to implement the optimizing HPC design mixture.

摘要

•The first phase builds the SOS-LSSVM predict the mechanical properties of the HPC.•The second phase uses SOS to optimize the HPC mixture cost.•SOS-LSSVM’s performance was the best model compared with three other AI.•An interface platform was built to implement the optimizing HPC design mixture.

论文关键词：High-performance concrete,Compressive strength,Workability of concrete,Symbiotic organism search,Least squares support vector machine,Artificial intelligence

论文评审过程：Received 21 October 2020, Revised 24 July 2022, Accepted 15 August 2022, Available online 18 August 2022, Version of Record 7 September 2022.

论文官网地址：https://doi.org/10.1016/j.eswa.2022.118605