Design, implementation and performance prediction of profiled steel sheet-mixed aggregate recycled concrete hollow composite slab

Journal of Building Engineering - Tập 79 - Trang 107839 - 2023
Ruixue Zhang1,2, Jiuzhou Jiao3, Manchao He1,2, Zhigang Tao1,2, Pengfei He4,2
1School of Mechanics and Civil Engineering, China University of Mining and Technology (Beijing), Beijing, 100083, China
2State Key Laboratory for Geomechanics and Deep Underground Engineering, Beijing, 100083, China
3School of Civil Engineering, Liaoning University of Technology, Liaoning 121001, China
4School of Mechanics and Civil Engineering, China University of Mining and Technology-Beijing, Beijing 100083, China

Tài liệu tham khảo

Mohammed, 2011, Analytical and experimental studies on composite slabs utilising palm oil clinker concrete, Constr. Build Mater., 25, 3550, 10.1016/j.conbuildmat.2011.03.048 Veljković, 1998, Influence of load arrangement on composite slab behaviour and recommendations for design, J. Construct. Steel Res., 45, 149, 10.1016/S0143-974X(97)00055-2 Liu, 2021, Research on fatigue performance of steel-plate-concrete composite slab, Thin Wall Struct., 160, 10.1016/j.tws.2020.107339 Dimitriou, 2018, Enhancing mechanical and durability properties of recycled aggregate concrete, Constr. Build. Mater., 158, 228, 10.1016/j.conbuildmat.2017.09.137 Dhar, 2018, A mathematical formulation to find effective bulk and shear moduli of recycled aggregate concrete, Constr. Build. Mater., 168, 747, 10.1016/j.conbuildmat.2018.02.067 Roziere, 2023, Assessing the relaxation of recycled aggregates concrete from free and restrained shrinkage tests, J. Build. Eng., 64 Geng, 2023, Effect of epoxy resin surface-modified techniques on recycled coarse aggregate and recycled aggregate concrete, J. Build. Eng., 10.1016/j.jobe.2023.107081 Wang, 2015, Testing and analysis of axially loaded normal-strength recycled aggregate concrete filled steel tubular stub columns, Eng. Struct., 86, 192, 10.1016/j.engstruct.2015.01.007 Wang, 2016, Long-term behaviour of simply supported composite slabs with recycled coarse aggregate, Mag. Concrete Res., 68, 1278, 10.1680/jmacr.16.00090 Zhang, 2022, Axial-load response of CFST stub columns with external stainless steel and recycled aggregate concrete: Testing, mechanism analysis and design, Eng. Struct., 256, 10.1016/j.engstruct.2022.113968 Xiao, 2019, Damage to recycled concrete with different aggregate substitution rates from the coupled action of freeze-thaw cycles and sulfate attack, Constr. Build. Mater., 221, 74, 10.1016/j.conbuildmat.2019.06.060 Zhang, 2023, Optimization of sodium alginate aided bio-deposition treatment of recycled aggregates and its application in concrete, Cem. Concr. Compos., 139, 10.1016/j.cemconcomp.2023.105031 Chauhan, 2023, Sustainable development of recycled concrete aggregate through optimized acid-mechanical treatment: A simplified approach, Constr. Build. Mater., 399 Reddy, 2023, A novel approach for optimizing the processing of recycled coarse aggregates, Constr. Build. Mater., 368 Zhang, 2021, Time-dependent reliability analysis of recycled aggregate concrete beams, J. Build. Eng., 43 Wu, 2021, Study on the rheology and buildability of 3D printed concrete with recycled coarse aggregates, J. Build. Eng., 42 Neves, 2022, Estimated service life of ordinary and high-performance reinforced recycled aggregate concrete, J. Build. Eng., 46 Tam, 2021, Deformation and permeability of recycled aggregate concrete-A comprehensive review, J. Build. Eng., 44 Weifeng, 2022, Study on dynamic mechanical properties of recycled concrete under uniaxial compression, J. Build. Mater., 25, 498 Xiao, 2021, Strain rate effect on compressive stress–strain curves of recycled aggregate concrete with seawater and sea sand, Constr. Build. Mater., 300, 10.1016/j.conbuildmat.2021.124014 Zhang, 2022, Experimental study and prediction model for non-uniform shrinkage of recycled aggregate concrete in composite slabs, Constr. Build. Mater., 329, 10.1016/j.conbuildmat.2022.127142 Zhang, 2022, Experimental study and prediction model for bond behaviour of steel-recycled aggregate concrete composite slabs, J. Build. Eng., 53 Gholamhoseini, 2014, Longitudinal shear stress and bond–slip relationships in composite concrete slabs, Eng. Struct., 69, 37, 10.1016/j.engstruct.2014.03.008 Wang, 2022, Analysis and design of long-term responses of simply-supported steel–concrete composite slabs, J. Build. Eng., 53 Ataei, 2019, Cyclic behaviour of bolted shear connectors in steel-concrete composite beams, Eng. Struct., 198, 10.1016/j.engstruct.2019.109455 Siddh, 2017, Experimental studies on behaviour of composite slab with profiled steel sheeting, Mater. Today., 4, 9792 He, 2019, Experimental study of the bearing capacity of long-span profiled steel sheet–concrete composite slabs, Adv. Steel Constr., 15, 288 Li, 2017, Experimental study on the longitudinal shear bond behavior of lightweight aggregate concrete–closed profiled steel sheeting composite slabs, Constr. Build. Mater., 156, 599, 10.1016/j.conbuildmat.2017.08.108 T. Ali, S. Yehia, M. El-Didamouny, Analytical study on concrete slabs with decking profiled steel sheet, Int. J. Adv. Res. Eng. Technol. 11, 939–950. Wang, 2020 Soofi, 2017, Classification techniques in machine learning: Applications and issues, J. Basic Appl. Sci., 13, 459, 10.6000/1927-5129.2017.13.76 Shinde, 2018, A review of machine learning and deep learning applications, 1 Sharma, 2021, Machine learning and deep learning applications-a vision, Glob. Trans. Proc., 2, 24, 10.1016/j.gltp.2021.01.004 Qiao, 2023, A hybrid agent-based machine learning method for human-centred energy consumption prediction, Energy Build., 10.1016/j.enbuild.2023.112797 Rashidi, 2016, An analogy between various machine-learning techniques for detecting construction materials in digital images, KSCE J. Civ. Eng., 20, 1178, 10.1007/s12205-015-0726-0 Valikhani, 2021, Machine learning and image processing approaches for estimating concrete surface roughness using basic cameras, Comput-Aided Civ. Inf., 36, 213, 10.1111/mice.12605 Qi, 2018, Neural network and particle swarm optimization for predicting the unconfined compressive strength of cemented paste backfill, Constr. Build. Mater., 159, 473, 10.1016/j.conbuildmat.2017.11.006 Qi, 2021, Improved strength prediction of cemented paste backfill using a novel model based on adaptive neuro fuzzy inference system and artificial bee colony, Constr. Build. Mater., 284, 10.1016/j.conbuildmat.2021.122857 Rakhshan, 2023, Stakeholders’ impact on the reuse potential of structural elements at the end-of-life of a building: A machine learning approach, J. Build. Eng., 70 Moein, 2022, Predictive models for concrete properties using machine learning and deep learning approaches: A review, J. Build. Eng. Zhang, 2020, Cost and CO2 emission reduction effects of a partially encased composite precast concrete beam, Adv. Civ. Eng., 2020, 1 Cakiroglu, 2021, CO2 emission and cost optimization of concrete-filled steel tubular (CFST) columns using metaheuristic algorithms, Sustainability-Basel., 13, 8092, 10.3390/su13148092 Kerr, 2022, Comparative analysis of the global warming potential (GWP) of structural stone, concrete and steel construction materials, Sustainability-Basel., 14, 9019, 10.3390/su14159019 Gao, 2021 China National Standards Management Committee, 2007 China Academy of Building Research, 2007 State Administration for Market Regulation, 2012 Rana, 2015, Experimental and numerical study of end anchorage in composite slabs, J. Construct. Steel Res., 115, 372, 10.1016/j.jcsr.2015.08.039 Bai, 2020, Longitudinal shear behaviour of composite slabs with profiled steel sheeting and ECC, Eng. Struct., 205, 10.1016/j.engstruct.2019.110085 Cuenca, 2013, Failure modes and shear design of prestressed hollow core slabs made of fiber-reinforced concrete, Compos. B Eng., 45, 952, 10.1016/j.compositesb.2012.06.005