Integrated and optimized SVR analysis: Assessment of the preliminary and entire fracture energy of concrete

Article type: Research Article

Authors: Wang, Zhiyong^{; *}

Affiliations: School of Urban Construction Engineering, Chongqing Technology and Business Institute, Chongqing, China

Correspondence: [*] Corresponding author. Zhiyong Wang, School of Urban Construction Engineering, Chongqing Technology and Business Institute, Chongqing, China. E-mail: 20150903028@cqu.edu.cn.

Abstract: Assessment of energy needed for crack growth in concrete structures has been an interesting topic since the use of fracture mechanics to concrete. However, experimental procedures need time, cost and efforts. Based on historical data, regression approaches were created using mechanical characteristics and mixed design factors to quantify the concrete preliminary (Gf) and whole (GF) fracture energy. This work combined support vector regression (SVR) analysis with antlion optimization (ALO) and Harris Hawks optimization (HHO) approaches to build a hybridized SVR evaluation to fully comprehend Gf and GF. Evaluation metrics demonstrate that both optimized ALO-SVR and HHO-SVR assessments could perform wonderfully throughout the estimation mechanism. Whenever the superior SVR investigation was contrasted to the literature, it was observed that the uniquely developed ALO-SVR regression also provides a reasonable boost in effectiveness, with benefits across the board. Finally, although the HHO-SVR technique has its particular capabilities in the simulating procedure, the ALO-SVR analysis seems to be highly reliable for determining Gf and GF.

Keywords: Preliminary and entire fracture energy, concrete, SVR analysis, metaheuristic optimization algorithms

DOI: 10.3233/JIFS-224464

Journal: Journal of Intelligent & Fuzzy Systems, vol. 44, no. 6, pp. 10781-10798, 2023