A machine learning-based time-dependent shear strength model for corroded reinforced concrete beams

B Fu, DC Feng - Journal of Building Engineering, 2021 - Elsevier
Shear strength of corroded reinforced concrete (CRC) beams is a key concern in the design
and/or retrofit processes for an RC structure during its life-cycle. In this paper, we develop a …

Seismic performance assessment of corroded RC columns based on data-driven machine-learning approach

JG Xu, W Hong, J Zhang, ST Hou, G Wu - Engineering Structures, 2022 - Elsevier
Corrosion of steel reinforcements is a major factor that will adversely affect the seismic
performance of the reinforced concrete (RC) columns. This paper investigates the …

Shear capacity prediction of FRP-RC beams using single and ensenble ExPlainable Machine learning models

TG Wakjira, A Al-Hamrani, U Ebead, W Alnahhal - Composite Structures, 2022 - Elsevier
Corrosion in steel reinforcement is a central issue behind the severe deterioration of existing
reinforced concrete (RC) structures. Nowadays, fiber-reinforced polymer (FRP) is …

A probabilistic bond strength model for corroded reinforced concrete based on weighted averaging of non-fine-tuned machine learning models

B Fu, SZ Chen, XR Liu, DC Feng - Construction and Building Materials, 2022 - Elsevier
This paper develops an innovative probabilistic predictive model for bond strength of
corroded reinforced concrete based on the weighted averaging of non-fine-tuned machine …

[HTML][HTML] Probabilistic estimation of flexural loading capacity of existing RC structures based on observational corrosion-induced crack width distribution using machine …

M Zhang, M Akiyama, M Shintani, J Xin, DM Frangopol - Structural Safety, 2021 - Elsevier
Corrosion-induced crack width can provide effective information on the deterioration level of
in situ corroded reinforced concrete (RC) structures. However, the uncertainty associated …

Machine learning algorithms in the environmental corrosion evaluation of reinforced concrete structures-A review

H Jia, G Qiao, P Han - Cement and Concrete Composites, 2022 - Elsevier
Accurate corrosion assessment of reinforced concrete (RC) structures is expected to
improve the service life and durability of structures. However, traditional evaluation methods …

Modelling the interface bond strength of corroded reinforced concrete using hybrid machine learning algorithms

T Huang, T Liu, Y Ai, Z Ren, J Ou, Y Li, N Xu - Journal of Building …, 2023 - Elsevier
The mechanical properties of corroded reinforced concrete are intricately associated with
bond strength between corroded reinforcement and concrete. This strength must be …

Calibration analysis of calculation formulas for shear capacities of corroded RC beams

C Jiang, H Ding, XL Gu, WP Zhang - Engineering Structures, 2023 - Elsevier
This short communication presented the calibration analysis methods and results of
calculation formulas for shear capacities of corroded RC beams. A dataset was established …

Convolution-based ensemble learning algorithms to estimate the bond strength of the corroded reinforced concrete

L Cavaleri, MS Barkhordari, CC Repapis… - … and Building Materials, 2022 - Elsevier
Reinforced concrete bond strength deterioration is one of the most serious problems in the
construction industry. It is one of the most common factors impacting structural deterioration …

Shear strength prediction of reinforced concrete beams by baseline, ensemble, and hybrid machine learning models

JS Chou, TPT Pham, TK Nguyen, AD Pham, NT Ngo - Soft Computing, 2020 - Springer
The shear strength of reinforced concrete (RC) beams is critical in the design of structural
members. Developing an effective mathematical method for accurately estimating shear …