Bond stress estimation of profiled steel-concrete in steel reinforced concrete composite structures using ensemble machine learning approaches

Zhang, Shuyuan; Xu, Jinjun; Lai, Tao; Yong, Yu; Xiong, Wei‐Wei

doi:10.1016/j.engstruct.2023.116725

Cited by 9 publications

(2 citation statements)

References 55 publications

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“…This continuous adaptation ensures highly customized and tailored solutions, promoting adaptive responding in individuals with neurodevelopmental disorders. The integration of reinforcement learning in serious games represents a dynamic approach to rehabilitation and assessment, offering real-time adjustments to optimize the user experience (Zhou et al, 2020;Salgado-Cacho et al, 2022;Zhang et al, 2023).…”

Section: Reinforcement Learning and Adaptive Interventionsmentioning

confidence: 99%

Integrating reinforcement learning and serious games to support people with rare genetic diseases and neurodevelopmental disorders: outcomes on parents and caregivers

Stasolla,

Akbar,

Passaro

et al. 2024

Front. Psychol.

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Section: Reinforcement Learning and Adaptive Interventionsmentioning

confidence: 99%

Integrating reinforcement learning and serious games to support people with rare genetic diseases and neurodevelopmental disorders: outcomes on parents and caregivers

Stasolla,

Akbar,

Passaro

et al. 2024

Front. Psychol.

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“…The modeling of the structural steel material for the steel members follows the constitutive relationship provided in the Eurocode [21] and used in previous research [22,23], which is indicated by Equation ( 23) and Figure 6.…”

Section: Structural Steel Modelingmentioning

confidence: 99%

Seismic Design and Performance Evaluation of Coupled Steel Plate and Reinforced Concrete Composite Walls

Liu,

Wu,

Wang

et al. 2023

Buildings

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Coupled steel plate and reinforced concrete (SPRC) composite shear walls have been widely constructed in the core tube of super tall buildings in seismic regions. However, relevant research progress is far behind the practical application of this coupled composite wall system. Particularly, the current seismic design method does not consider the coupling mechanism and lacks efficiency in the computation of seismic base shear. In this research, the energy balance-based plastic design (EBPD) method is developed and used to design twelve prototype structures considering different structural heights and coupling ratios (CR). With the ABAQUS-based numerical techniques verified by relevant experimental results, all the prototype cases were studied by pushover analysis and nonlinear dynamic analysis to examine the effectiveness of the EBPD method in ensuring satisfactory seismic performance of coupled SPRC composite walls. The results indicate that the coupled SPRC composite walls designed by the EBPD method can satisfy the code requirements on lateral deformation under moderate and rare earthquakes. The analytical average story shear and bending moment distribution patterns have acceptable agreement with the relevant design assumptions. Favorable CR ranges are suggested for the coupled SPRC composite walls with different story numbers to achieve good earthquake-induced deformation characteristics.

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Explainable artificial intelligence framework for FRP composites design

Yossef,

Noureldin,

Alqabbany

2024

Composite Structures

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Bond stress estimation of profiled steel-concrete in steel reinforced concrete composite structures using ensemble machine learning approaches

Cited by 9 publications

References 55 publications

Integrating reinforcement learning and serious games to support people with rare genetic diseases and neurodevelopmental disorders: outcomes on parents and caregivers

Integrating reinforcement learning and serious games to support people with rare genetic diseases and neurodevelopmental disorders: outcomes on parents and caregivers

Seismic Design and Performance Evaluation of Coupled Steel Plate and Reinforced Concrete Composite Walls

Explainable artificial intelligence framework for FRP composites design

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