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Hybrid enhanced Monte Carlo simulation coupled with advanced machine learning approach for accurate and efficient structural reliability analysis
Luo, Changqi, Keshtegar, Behrooz, Zhu, Shun Peng, Taylan, Osman, Niu, Xiao-Peng
Published in Computer methods in applied mechanics and engineering (01.01.2022)
Published in Computer methods in applied mechanics and engineering (01.01.2022)
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Young’s double-slit experiment optimizer : A novel metaheuristic optimization algorithm for global and constraint optimization problems
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Published in Computer methods in applied mechanics and engineering (01.01.2023)
Published in Computer methods in applied mechanics and engineering (01.01.2023)
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Automated discovery of generalized standard material models with EUCLID
Flaschel, Moritz, Kumar, Siddhant, De Lorenzis, Laura
Published in Computer methods in applied mechanics and engineering (15.02.2023)
Published in Computer methods in applied mechanics and engineering (15.02.2023)
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Dual-horizon peridynamics: A stable solution to varying horizons
Ren, Huilong, Zhuang, Xiaoying, Rabczuk, Timon
Published in Computer methods in applied mechanics and engineering (01.05.2017)
Published in Computer methods in applied mechanics and engineering (01.05.2017)
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A novel hybrid adaptive Kriging and water cycle algorithm for reliability-based design and optimization strategy: Application in offshore wind turbine monopile
Meng, Debiao, Yang, Shiyuan, De Jesus, Abílio M.P., Fazeres-Ferradosa, Tiago, Zhu, Shun-Peng
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Published in Computer methods in applied mechanics and engineering (01.07.2023)
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An enhanced hybrid arithmetic optimization algorithm for engineering applications
Hu, Gang, Zhong, Jingyu, Du, Bo, Wei, Guo
Published in Computer methods in applied mechanics and engineering (01.05.2022)
Published in Computer methods in applied mechanics and engineering (01.05.2022)
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Data-driven computational mechanics
Kirchdoerfer, T., Ortiz, M.
Published in Computer methods in applied mechanics and engineering (01.06.2016)
Published in Computer methods in applied mechanics and engineering (01.06.2016)
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A phase-field formulation for fracture in ductile materials: Finite deformation balance law derivation, plastic degradation, and stress triaxiality effects
Borden, Michael J., Hughes, Thomas J.R., Landis, Chad M., Anvari, Amin, Lee, Isaac J.
Published in Computer methods in applied mechanics and engineering (01.12.2016)
Published in Computer methods in applied mechanics and engineering (01.12.2016)
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A framework for data-driven analysis of materials under uncertainty: Countering the curse of dimensionality
Bessa, M.A., Bostanabad, R., Liu, Z., Hu, A., Apley, Daniel W., Brinson, C., Chen, W., Liu, Wing Kam
Published in Computer methods in applied mechanics and engineering (15.06.2017)
Published in Computer methods in applied mechanics and engineering (15.06.2017)
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Smart constitutive laws: Inelastic homogenization through machine learning
Logarzo, Hernan J., Capuano, German, Rimoli, Julian J.
Published in Computer methods in applied mechanics and engineering (01.01.2021)
Published in Computer methods in applied mechanics and engineering (01.01.2021)
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Predicting the effective mechanical property of heterogeneous materials by image based modeling and deep learning
Li, Xiang, Liu, Zhanli, Cui, Shaoqing, Luo, Chengcheng, Li, Chenfeng, Zhuang, Zhuo
Published in Computer methods in applied mechanics and engineering (15.04.2019)
Published in Computer methods in applied mechanics and engineering (15.04.2019)
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Model-Free Data-Driven inelasticity
Eggersmann, R., Kirchdoerfer, T., Reese, S., Stainier, L., Ortiz, M.
Published in Computer methods in applied mechanics and engineering (15.06.2019)
Published in Computer methods in applied mechanics and engineering (15.06.2019)
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Phase-field modeling of fluid-driven dynamic cracking in porous media
Zhou, Shuwei, Zhuang, Xiaoying, Rabczuk, Timon
Published in Computer methods in applied mechanics and engineering (15.06.2019)
Published in Computer methods in applied mechanics and engineering (15.06.2019)
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