Machine-learning response prediction

Predict Pu, Su, Ks and the load–slip curve

PuBO–CatBoost

SuBO–GBDT

KsBO–GBDT

Input parameters

Geometry and configuration

Hole diameter D (mm) Steel plate thickness t (mm) Transverse rebar diameter d_s (mm) Number of holes n Push-Out types Contact area between the bottom of the perforated plate and the concrete (mm²)

Material properties

UHPC compressive strength f_c (MPa) Rebar yield strength f_y (MPa) Steel plate yield strength f_yp (MPa) Steel fiber volume fraction v_f (%)

Prediction results

Your response curve will appear here

Complete the parameter form and run the prediction to display Pu, Su, Ks and the full curve.

Recent results

Single

Pu=1862.18 kN, Su=15.582 mm, Ks=2638.39 kN/mm2026-07-25 21:28:23

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Single

Pu=1241.88 kN, Su=15.860 mm, Ks=675.90 kN/mm2026-07-25 21:28:15

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Single

Pu=1159.09 kN, Su=16.253 mm, Ks=779.31 kN/mm2026-07-25 21:28:06

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Single

Pu=1064.00 kN, Su=16.622 mm, Ks=1145.68 kN/mm2026-07-25 21:27:56

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Single

Pu=1020.34 kN, Su=11.439 mm, Ks=1220.12 kN/mm2026-07-25 21:27:50

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Single

Pu=825.63 kN, Su=11.759 mm, Ks=1162.63 kN/mm2026-07-25 21:27:13

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Single

Pu=1020.34 kN, Su=11.439 mm, Ks=1220.12 kN/mm2026-07-23 21:42:06

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Single

Pu=1515.03 kN, Su=5.699 mm, Ks=1500.51 kN/mm2026-07-23 21:40:01

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Single

Pu=1020.34 kN, Su=11.439 mm, Ks=1220.12 kN/mm2026-07-23 21:01:53

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Single

Pu=1020.34 kN, Su=11.439 mm, Ks=1220.12 kN/mm2026-07-23 21:01:39

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