A framework for improving bridge resilience and sustainability through optimizing high-performance fiber-reinforced cementitious composites

Journal of Infrastructure Preservation and Resilience

Table 1 Performance metrics for predicting HPFRCC mechanical properties [45, 46]

HPFRCC types	Mechanical properties	Dataset	Performance metric
HPFRCC types	Mechanical properties	Dataset	MAD	MAE	RMSE	R²
SHCC	Compressive strength	Training	0.029	0.589	1.901	0.990
	Compressive strength	Testing	3.165	4.125	5.478	0.954
	Tensile strength	Training	0.009	0.072	0.176	0.998
	Tensile strength	Testing	0.467	0.568	0.731	0.965
	Ductility	Training	0.040	0.105	0.217	0.993
	Ductility	Testing	0.287	0.507	0.750	0.931
UHPC	Compressive strength	Training	1.380	2.230	3.450	0.990
	Compressive strength	Testing	0.940	1.550	2.570	0.990
	Flexural strength	Training	0.560	0.830	1.220	0.970
	Flexural strength	Testing	0.860	1.400	1.980	0.940

“MAD” refers to mean absolute deviation; “MAE” refers to median absolute error; “RMSE” refers to root mean squared error; “R²” refers to coefficient of determination