Prediction and Interpretation of Residual Bearing Capacity of Cfst Columns under Impact Loads Based Interpretable Stacking Fusion Modeling

Interpretable machine-learning models for maximum displacements of RC beams under impact loading predictions

(2023) Dade Lai et al.   ENGINEERING STRUCTURES

Load transfer mechanism in concrete-filled steel tubular columns: Developments, challenges and opportunities

(2023) Partha Pratim Debnath et al.   JOURNAL OF CONSTRUCTIONAL STEEL RESEARCH

Eccentric compression behavior of concrete-filled steel tube columns strengthened by CFRP/steel strip

(2023) Kunting Miao et al.   ENGINEERING STRUCTURES

Experimental study and machine learning algorithms for evaluating the performance of U-shaped ultra-high performance reinforced fiber concrete under static and impact loads

(2023) Ali Al-shawafi et al.   Journal of Building Engineering

A stacking-CRRL fusion model for predicting the bearing capacity of a steel-reinforced concrete column constrained by carbon fiber-reinforced polymer

(2023) Ji-gang Zhang et al.   Structures

Experimental and numerical study of T-shaped irregularly concrete-filled steel tube columns under combined axial loads and moments

(2022) Wang-Hui Liu et al.   Journal of Building Engineering

Optimization strategies of neural networks for impact damage classification of RC panels in a small dataset

(2021) Quoc Hoan Doan et al.   APPLIED SOFT COMPUTING

Prediction of electricity generation from a combined cycle power plant based on a stacking ensemble and its hyperparameter optimization with a grid-search method

(2021) Zhijian Qu et al.   ENERGY

Evaluation of impact resistance properties of polyurethane-based polymer concrete for the repair of runway subjected to repeated drop-weight impact test

(2021) Sadi Ibrahim Haruna et al.   CONSTRUCTION AND BUILDING MATERIALS

Machine learning prediction of structural response for FRP retrofitted RC slabs subjected to blast loading

(2021) Monjee K. Almustafa et al.   ENGINEERING STRUCTURES

Evaluation and monitoring of impact resistance of fiber reinforced concrete by adaptive neuro fuzzy algorithm

(2021) Yan Cao et al.   Structures

Machine learning model for predicting structural response of RC columns subjected to blast loading

(2021) Monjee K. Almustafa et al.   INTERNATIONAL JOURNAL OF IMPACT ENGINEERING

Residual axial capacity of square recycled aggregate concrete-filled steel tube columns after blast loads

(2021) Xianyu Wang et al.   Journal of Building Engineering

A review on computational intelligence for identification of nonlinear dynamical systems

(2020) Giuseppe Quaranta et al.   NONLINEAR DYNAMICS

A novel decomposition-ensemble learning framework for multi-step ahead wind energy forecasting

(2020) Ramon Gomes da Silva et al.   ENERGY

Behavior of Circular CFST Columns Subjected to Different Lateral Impact Energy

(2019) Xiaoyong Zhang et al.   Applied Sciences-Basel

Gradient tree boosting machine learning on predicting the failure modes of the RC panels under impact loads

(2019) Duc-Kien Thai et al.   ENGINEERING WITH COMPUTERS

Ensemble approach based on bagging, boosting and stacking for short-term prediction in agribusiness time series

(2019) Matheus Henrique Dal Molin Ribeiro et al.   APPLIED SOFT COMPUTING

Tests on residual ultimate bearing capacity of square CFST columns after impact

(2018) Xiaoyong Zhang et al.   JOURNAL OF CONSTRUCTIONAL STEEL RESEARCH

A feasibility of enhancing the impact strength of novel layered two stage fibrous concrete slabs

(2018) G. Murali et al.   ENGINEERING STRUCTURES

Life-cycle performance of deteriorated concrete-filled steel tubular (CFST) structures subject to lateral impact

(2018) Chuan-Chuan Hou et al.   THIN-WALLED STRUCTURES

Explaining prediction models and individual predictions with feature contributions

(2013) Erik Štrumbelj et al.   KNOWLEDGE AND INFORMATION SYSTEMS

Combined effect of silica fume and steel fibers on the impact resistance and mechanical properties of concrete

(2010) Mahmoud Nili et al.   INTERNATIONAL JOURNAL OF IMPACT ENGINEERING