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2023, 'Machine Learning-Aided Nonlinear Dynamic Analysis of Engineering Structures', in , pp. 347 - 352, http://dx.doi.org/10.1007/978-981-99-3330-3_36
,2023, 'Non-probabilistic Informed Structural Health Assessment with Virtual Modelling Technique', in , pp. 359 - 364, http://dx.doi.org/10.1007/978-981-99-3330-3_38
,2025, 'Proposal of a Fire Loading Curve for Engineering Structures Subjected to Grassland Fires', Journal of Structural Engineering, 151, http://dx.doi.org/10.1061/JSENDH.STENG-14299
,2025, 'Two-scale concurrent topology optimization of multiple lattice materials with non-uniform thickness interfaces', Computer Methods in Applied Mechanics and Engineering, 444, http://dx.doi.org/10.1016/j.cma.2025.118108
,2025, 'Polymorphic uncertainty field quantification in structural analysis with machine learning assistance', Mechanical Systems and Signal Processing, 225, http://dx.doi.org/10.1016/j.ymssp.2024.112273
,2024, 'Reliability and sustainability integrated design optimization for engineering structures with active machine learning technique', Journal of Building Engineering, 98, http://dx.doi.org/10.1016/j.jobe.2024.111480
,2024, 'Smoothing and approximation of grassland fire loading data for engineering structures by Capped Extended Support Vector Regression', Engineering Structures, 319, pp. 118848, http://dx.doi.org/10.1016/j.engstruct.2024.118848
,2024, 'Hybrid uncertain buckling analysis for engineering structures through machine learning method', Engineering Structures, 310, http://dx.doi.org/10.1016/j.engstruct.2024.118083
,2024, 'Stochastic bandgap optimization for multiscale elastic metamaterials with manufacturing imperfections', International Journal of Mechanical Sciences, 268, http://dx.doi.org/10.1016/j.ijmecsci.2024.109035
,2024, 'Machine learning aided uncertainty quantification for engineering structures involving material-geometric randomness and data imperfection', Computer Methods in Applied Mechanics and Engineering, 423, http://dx.doi.org/10.1016/j.cma.2024.116868
,2024, 'Virtual model-aided reliability analysis considering material and geometrical uncertainties for elastic metamaterials', Mechanical Systems and Signal Processing, 211, http://dx.doi.org/10.1016/j.ymssp.2024.111199
,2024, 'Additive manufacturing error quantification on stability of composite sandwich plates with lattice-cores through machine learning technique', Composite Structures, 327, http://dx.doi.org/10.1016/j.compstruct.2023.117645
,2023, 'Advanced virtual model assisted most probable point capturing method for engineering structures', Reliability Engineering and System Safety, 239, http://dx.doi.org/10.1016/j.ress.2023.109527
,2023, 'Experimental-numerical-virtual (ENV) modelling technique for composite structure against low velocity impacts', Engineering Structures, 278, http://dx.doi.org/10.1016/j.engstruct.2022.115488
,2023, 'Virtual modelling technique for geometric-material nonlinear dynamics of structures', Structural Safety, 100, http://dx.doi.org/10.1016/j.strusafe.2022.102284
,2022, 'Polymorphic uncertainty quantification for engineering structures via a hyperplane modelling technique', Computer Methods in Applied Mechanics and Engineering, 398, http://dx.doi.org/10.1016/j.cma.2022.115250
,2022, 'Polyphase uncertainty analysis through virtual modelling technique', Mechanical Systems and Signal Processing, 162, http://dx.doi.org/10.1016/j.ymssp.2021.108013
,2021, 'A virtual model architecture for engineering structures with Twin Extended Support Vector Regression (T-X-SVR) method', Computer Methods in Applied Mechanics and Engineering, 386, http://dx.doi.org/10.1016/j.cma.2021.114121
,2021, 'Machine learning aided phase field method for fracture mechanics', International Journal of Engineering Science, 169, http://dx.doi.org/10.1016/j.ijengsci.2021.103587
,2021, 'Sensitivity of solidification hydration model in estimating carbonation of fly ash cement system', Construction and Building Materials, 282, http://dx.doi.org/10.1016/j.conbuildmat.2021.122582
,2020, 'Stochastic nonlocal damage analysis by a machine learning approach', Computer Methods in Applied Mechanics and Engineering, 372, http://dx.doi.org/10.1016/j.cma.2020.113371
,2020, 'Machine learning aided static structural reliability analysis for functionally graded frame structures', Applied Mathematical Modelling, 78, pp. 792 - 815, http://dx.doi.org/10.1016/j.apm.2019.10.007
,2019, 'Machine learning aided stochastic structural free vibration analysis for functionally graded bar-type structures', Thin Walled Structures, 144, pp. 106315, http://dx.doi.org/10.1016/j.tws.2019.106315
,2019, 'Machine learning aided durability and safety analyses on cementitious composites and structures', International Journal of Mechanical Sciences, 160, pp. 165 - 181, http://dx.doi.org/10.1016/j.ijmecsci.2019.06.040
,2019, 'Geometrically nonlinear dynamic analysis of organic solar cell resting on Winkler-Pasternak elastic foundation under thermal environment', Composites Part B Engineering, 163, pp. 121 - 129, http://dx.doi.org/10.1016/j.compositesb.2018.11.022
,2019, 'Robust free vibration analysis of functionally graded structures with interval uncertainties', Composites Part B Engineering, 159, pp. 132 - 145, http://dx.doi.org/10.1016/j.compositesb.2018.09.082
,2024, 'Sustainable Design Optimization for Engineering Structures Considering Embodied Carbon', pp. 41, http://dx.doi.org/10.14912/jsmcwm.t3rincs2024.0_41
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