Prediction of reinforced concrete walls shear strength based on soft computing-based techniques

Abstract

The precise estimation of the shear strength of reinforced concrete walls is critical for structural engineers. This projection, nevertheless, is exceedingly complicated because of the varied structural geometries, plethora of load cases, and highly nonlinear relationships between the design requirements and the shear strength. Recent related design code regulations mostly depend on experimental formulations, which have a variety of constraints and establish low prediction accuracy. Hence, different soft computing techniques are used in this study to evaluate the shear capacity of reinforced concrete walls. In particular, developed models for estimating the shear capacity of concrete walls have been investigated, based on experimental test data accessible in the relevant literature. Adaptive neuro-fuzzy inference system, the integrated genetic algorithms, and the integrated particle swarm optimization methods were used to optimize the fuzzy model’s membership function range and the results were compared to the outcomes of random forests (RF) model. To determine the accuracy of the models, the results were assessed using several indices. Outliers in the anticipated data were identified and replaced with appropriate values to ensure prediction accuracy. The comparison of the resulting findings with the relevant experimental data demonstrates the potential of hybrid models to determine the shear capacity of reinforced concrete walls reliably and effectively. The findings revealed that the RF model with RMSE = 151.89, MAE = 111.52, and $${R}^2$$ R 2 = 0.9351 has the best prediction accuracy. Integrated GAFIS and PSOFIS performed virtually identically and had fewer errors than ANFIS. The sensitivity analysis shows that the thickness of the wall $$({b_\mathrm{{w}}})$$ ( b w ) and concrete compressive strength $$({f_\mathrm{{c}}})$$ ( f c ) have the most and the least effects on shear strength, respectively.

Implementation of the HIRADC Method in Risk Analysis of Diaphragm Wall Work Projects

“…These walls are usually cast continuously on site along the edge of the planned excavated hole after the stripped hole is prepared first, and excavation is carried out according to plan. Depth and provision of reinforcement, generally in the form of a cage, are also required (Blount et al, 2020;Kolozvari et al, 2021;Tabrizikahou et al, 2023).…”