Artificial neural network and YUKI algorithm for notch depth prediction in X70 steel specimens
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Published in: | Theoretical and applied fracture mechanics Vol. 129; p. 104227 |
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Format: | Journal Article |
Language: | English |
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01-02-2024
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Author | Capozucca, R. Cuong-Le, T Oulad Brahim, A. Khatir, S. Magagnini, E. Benaissa, B. Wahab, M. Abdel |
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Cites_doi | 10.1016/j.engfracmech.2022.108334 10.1016/j.matdes.2022.111089 10.1111/ffe.12578 10.1007/s00170-017-1181-5 10.1016/j.engfracmech.2023.109485 10.1016/j.engfailanal.2018.08.014 10.1016/j.asoc.2020.106960 10.1038/s41699-021-00228-x 10.1016/j.engfracmech.2020.107488 10.1016/j.mseb.2022.115858 10.1155/2013/425740 10.1016/j.advengsoft.2018.11.014 10.1007/s00500-022-06909-z 10.1016/j.tafmec.2020.102554 10.1016/j.ins.2020.06.037 10.1016/j.mechmat.2021.104200 10.1016/j.actamat.2020.03.016 10.1016/j.engfracmech.2021.107989 10.1016/j.istruc.2022.12.033 10.1016/j.jocs.2021.101451 10.1016/j.wear.2019.203151 10.1016/j.engfracmech.2022.108649 10.1016/j.tafmec.2023.103892 10.3390/buildings13040973 10.1007/s12540-019-00266-7 10.1016/j.ijhydene.2018.06.118 10.1016/j.matchar.2020.110124 10.1016/j.tws.2022.110267 10.1016/j.ijpvp.2020.104115 10.1016/j.engfracmech.2020.107162 10.1016/j.measurement.2018.03.018 10.1016/j.ijpvp.2019.03.001 10.1016/j.compstruct.2021.114287 10.3390/app7111179 10.1016/j.engfailanal.2022.106829 10.1016/j.engfracmech.2018.10.020 10.1016/j.wear.2021.203712 10.1016/j.ijhydene.2020.04.211 10.3390/met11050689 10.1021/ci050110v 10.1016/j.compstruct.2023.116803 10.1016/j.knosys.2021.107555 10.1016/j.compstruct.2022.116326 10.1016/j.engfracmech.2019.106817 10.1016/j.engfracmech.2021.107535 10.1016/j.eswa.2021.115669 10.1115/OMAE2018-78147 10.1016/j.tafmec.2019.102240 10.1007/978-3-031-24041-6_18 10.1016/j.engfracmech.2021.108012 10.1155/2018/8429145 10.1007/s12540-021-01024-4 10.1016/B978-0-12-813314-9.00010-4 |
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References | Mohtadi-Bonab (10.1016/j.tafmec.2023.104227_b0025) 2018; 94 Khatir (10.1016/j.tafmec.2023.104227_b0155) 2020; 107 Pippan (10.1016/j.tafmec.2023.104227_b0045) 2017; 40 Khatir (10.1016/j.tafmec.2023.104227_b0160) 2023; 311 Vu-Huu (10.1016/j.tafmec.2023.104227_b0090) 2023; 47 Yang (10.1016/j.tafmec.2023.104227_b0240) 2021; 256 10.1016/j.tafmec.2023.104227_b0050 10.1016/j.tafmec.2023.104227_b0170 Rajaraman (10.1016/j.tafmec.2023.104227_b0070) 2021; 476 Jiménez-Alfaro (10.1016/j.tafmec.2023.104227_b0195) 2021; 258 Yin (10.1016/j.tafmec.2023.104227_b0095) 2018; 2018 Fahem (10.1016/j.tafmec.2023.104227_b0230) 2023; 304 Kim (10.1016/j.tafmec.2023.104227_b0120) 2019; 128 Xu (10.1016/j.tafmec.2023.104227_b0040) 2020; 442-443 Khaleghi (10.1016/j.tafmec.2023.104227_b0200) 2022; 271 Tran (10.1016/j.tafmec.2023.104227_b0130) 2023; 182 Khatir (10.1016/j.tafmec.2023.104227_b0260) 2021; 273 Shibanuma (10.1016/j.tafmec.2023.104227_b0015) 2018; 204 Li (10.1016/j.tafmec.2023.104227_b0055) 2018; 43 Liu (10.1016/j.tafmec.2023.104227_b0165) 2020; 190 Xi (10.1016/j.tafmec.2023.104227_b0210) 2021; 242 Ahmadianfar (10.1016/j.tafmec.2023.104227_b0275) 2020; 540 Benaissa (10.1016/j.tafmec.2023.104227_b0135) 2021; 55 Wiangkham (10.1016/j.tafmec.2023.104227_b0205) 2023; 125 Li (10.1016/j.tafmec.2023.104227_b0085) 2020; 235 Cuong-Le (10.1016/j.tafmec.2023.104227_b0100) 2021; 186 Kamiński (10.1016/j.tafmec.2023.104227_b0245) 2021; 11 Jack (10.1016/j.tafmec.2023.104227_b0010) 2020; 45 Rajaraman (10.1016/j.tafmec.2023.104227_b0065) 2023; 528–529 10.1016/j.tafmec.2023.104227_b0110 Gholami (10.1016/j.tafmec.2023.104227_b0140) 2022; 26 Shirazi (10.1016/j.tafmec.2023.104227_b0215) 2023; 303 Singh (10.1016/j.tafmec.2023.104227_b0180) 2022; 284 Rahimidehgolan (10.1016/j.tafmec.2023.104227_b0235) 2017; 7 Mohtadi-Bonab (10.1016/j.tafmec.2023.104227_b0005) 2019; 25 Zhu (10.1016/j.tafmec.2023.104227_b0175) 2023; 289 Bounouara (10.1016/j.tafmec.2023.104227_b0060) 2018; 94 Mahmoodzadeh (10.1016/j.tafmec.2023.104227_b0190) 2022; 264 Chen (10.1016/j.tafmec.2023.104227_b0080) 2021; 245 10.1016/j.tafmec.2023.104227_b0225 Amaya-Gómez (10.1016/j.tafmec.2023.104227_b0035) 2019; 172 Okodi (10.1016/j.tafmec.2023.104227_b0020) 2020; 184 10.1016/j.tafmec.2023.104227_b0265 Seupel (10.1016/j.tafmec.2023.104227_b0075) 2020; 229 10.1016/j.tafmec.2023.104227_b0220 Ouladbrahim (10.1016/j.tafmec.2023.104227_b0105) 2022; 166 Ren (10.1016/j.tafmec.2023.104227_b0030) 2018; 122 Cuong-Le (10.1016/j.tafmec.2023.104227_b0125) 2022; 142 Song (10.1016/j.tafmec.2023.104227_b0115) 2021; 100 Zhang (10.1016/j.tafmec.2023.104227_b0145) 2021; 233 Guha (10.1016/j.tafmec.2023.104227_b0270) 2005; 45 Salvati (10.1016/j.tafmec.2023.104227_b0185) 2022; 222 Ohaeri (10.1016/j.tafmec.2023.104227_b0250) 2020; 161 Khatir (10.1016/j.tafmec.2023.104227_b0150) 2019; 103 Ouladbrahim (10.1016/j.tafmec.2023.104227_b0255) 2022; 28 |
References_xml | – volume: 264 year: 2022 ident: 10.1016/j.tafmec.2023.104227_b0190 article-title: Prediction of Mode-I rock fracture toughness using support vector regression with metaheuristic optimization algorithms publication-title: Eng. Fract. Mech. doi: 10.1016/j.engfracmech.2022.108334 contributor: fullname: Mahmoodzadeh – volume: 222 year: 2022 ident: 10.1016/j.tafmec.2023.104227_b0185 article-title: A defect-based physics-informed machine learning framework for fatigue finite life prediction in additive manufacturing publication-title: Mater. Des. doi: 10.1016/j.matdes.2022.111089 contributor: fullname: Salvati – volume: 40 start-page: 471 issue: 4 year: 2017 ident: 10.1016/j.tafmec.2023.104227_b0045 article-title: Fatigue crack closure: a review of the physical phenomena publication-title: Fatigue Fract. Eng. Mater. Struct. doi: 10.1111/ffe.12578 contributor: fullname: Pippan – volume: 94 start-page: 4543 issue: 9 year: 2018 ident: 10.1016/j.tafmec.2023.104227_b0060 article-title: Investigation on the effect of ball burnishing on fracture toughness in spiral API X70 pipeline steel publication-title: Int. J. Adv. Manuf. Technol. doi: 10.1007/s00170-017-1181-5 contributor: fullname: Bounouara – volume: 289 year: 2023 ident: 10.1016/j.tafmec.2023.104227_b0175 article-title: A multi-algorithm integration machine learning approach for high cycle fatigue prediction of a titanium alloy in aero-engine publication-title: Eng. Fract. Mech. doi: 10.1016/j.engfracmech.2023.109485 contributor: fullname: Zhu – volume: 94 start-page: 214 year: 2018 ident: 10.1016/j.tafmec.2023.104227_b0025 article-title: Microstructural aspects of intergranular and transgranular crack propagation in an API X65 steel pipeline related to fatigue failure publication-title: Eng. Fail. Anal. doi: 10.1016/j.engfailanal.2018.08.014 contributor: fullname: Mohtadi-Bonab – volume: 100 year: 2021 ident: 10.1016/j.tafmec.2023.104227_b0115 article-title: An improved PSO algorithm for smooth path planning of mobile robots using continuous high-degree Bezier curve publication-title: Appl. Soft Comput. doi: 10.1016/j.asoc.2020.106960 contributor: fullname: Song – ident: 10.1016/j.tafmec.2023.104227_b0170 doi: 10.1038/s41699-021-00228-x – volume: 242 year: 2021 ident: 10.1016/j.tafmec.2023.104227_b0210 article-title: Using artificial neural network to predict the fracture properties of the interfacial transition zone of concrete at the meso-scale publication-title: Eng. Fract. Mech. doi: 10.1016/j.engfracmech.2020.107488 contributor: fullname: Xi – volume: 284 year: 2022 ident: 10.1016/j.tafmec.2023.104227_b0180 article-title: A review on Machine learning aspect in physics and mechanics of glasses publication-title: Mater. Sci. Eng. B doi: 10.1016/j.mseb.2022.115858 contributor: fullname: Singh – ident: 10.1016/j.tafmec.2023.104227_b0265 doi: 10.1155/2013/425740 – volume: 128 start-page: 98 year: 2019 ident: 10.1016/j.tafmec.2023.104227_b0120 article-title: Construction of polyhedral finite element meshes based upon marching cube algorithm publication-title: Adv. Eng. Softw. doi: 10.1016/j.advengsoft.2018.11.014 contributor: fullname: Kim – volume: 26 start-page: 5315 issue: 11 year: 2022 ident: 10.1016/j.tafmec.2023.104227_b0140 article-title: Powerful enhanced Jaya algorithm for efficiently optimizing numerical and engineering problems publication-title: Soft. Comput. doi: 10.1007/s00500-022-06909-z contributor: fullname: Gholami – volume: 107 year: 2020 ident: 10.1016/j.tafmec.2023.104227_b0155 article-title: Improved ANN technique combined with Jaya algorithm for crack identification in plates using XIGA and experimental analysis publication-title: Theor. Appl. Fract. Mech. doi: 10.1016/j.tafmec.2020.102554 contributor: fullname: Khatir – volume: 540 start-page: 131 year: 2020 ident: 10.1016/j.tafmec.2023.104227_b0275 article-title: Gradient-based optimizer: A new metaheuristic optimization algorithm publication-title: Inf. Sci. doi: 10.1016/j.ins.2020.06.037 contributor: fullname: Ahmadianfar – volume: 166 year: 2022 ident: 10.1016/j.tafmec.2023.104227_b0105 article-title: Experimental crack identification of API X70 steel pipeline using improved Artificial Neural Networks based on Whale Optimization Algorithm publication-title: Mech. Mater. doi: 10.1016/j.mechmat.2021.104200 contributor: fullname: Ouladbrahim – volume: 190 start-page: 105 year: 2020 ident: 10.1016/j.tafmec.2023.104227_b0165 article-title: A machine learning approach to fracture mechanics problems publication-title: Acta Mater. doi: 10.1016/j.actamat.2020.03.016 contributor: fullname: Liu – volume: 256 year: 2021 ident: 10.1016/j.tafmec.2023.104227_b0240 article-title: Ductile fracture prediction of additive manufactured Ti6Al4V alloy based on an extended GTN damage model publication-title: Eng. Fract. Mech. doi: 10.1016/j.engfracmech.2021.107989 contributor: fullname: Yang – volume: 47 start-page: 2240 year: 2023 ident: 10.1016/j.tafmec.2023.104227_b0090 article-title: An improved bat algorithms for optimization design of truss structures publication-title: Structures doi: 10.1016/j.istruc.2022.12.033 contributor: fullname: Vu-Huu – volume: 55 year: 2021 ident: 10.1016/j.tafmec.2023.104227_b0135 article-title: YUKI Algorithm and POD-RBF for Elastostatic and dynamic crack identification publication-title: Journal of Computational Science doi: 10.1016/j.jocs.2021.101451 contributor: fullname: Benaissa – volume: 442-443 year: 2020 ident: 10.1016/j.tafmec.2023.104227_b0040 article-title: Understanding the influences of pre-corrosion on the erosion-corrosion performance of pipeline steel publication-title: Wear doi: 10.1016/j.wear.2019.203151 contributor: fullname: Xu – volume: 271 year: 2022 ident: 10.1016/j.tafmec.2023.104227_b0200 article-title: Fracture characterization from noisy displacement data using artificial neural networks publication-title: Eng. Fract. Mech. doi: 10.1016/j.engfracmech.2022.108649 contributor: fullname: Khaleghi – volume: 125 year: 2023 ident: 10.1016/j.tafmec.2023.104227_b0205 article-title: Multi-fidelity model using GRNN and ANFIS algorithms-based fracture criterion for predicting mixed-mode I-II of sugarcane leaves/epoxy composite publication-title: Theor. Appl. Fract. Mech. doi: 10.1016/j.tafmec.2023.103892 contributor: fullname: Wiangkham – ident: 10.1016/j.tafmec.2023.104227_b0225 doi: 10.3390/buildings13040973 – volume: 25 start-page: 1109 issue: 5 year: 2019 ident: 10.1016/j.tafmec.2023.104227_b0005 article-title: Important factors on the failure of pipeline steels with focus on hydrogen induced cracks and improvement of their resistance: review paper publication-title: Met. Mater. Int. doi: 10.1007/s12540-019-00266-7 contributor: fullname: Mohtadi-Bonab – volume: 43 start-page: 15575 issue: 32 year: 2018 ident: 10.1016/j.tafmec.2023.104227_b0055 article-title: Specimen thickness effect on the property of hydrogen embrittlement in single edge notch tension testing of high strength pipeline steel publication-title: Int. J. Hydrogen Energy doi: 10.1016/j.ijhydene.2018.06.118 contributor: fullname: Li – volume: 161 year: 2020 ident: 10.1016/j.tafmec.2023.104227_b0250 article-title: Effect of post-processing annealing treatments on microstructure development and hydrogen embrittlement in API 5L X70 pipeline steel publication-title: Mater Charact doi: 10.1016/j.matchar.2020.110124 contributor: fullname: Ohaeri – volume: 182 year: 2023 ident: 10.1016/j.tafmec.2023.104227_b0130 article-title: Vibration and buckling optimization of functionally graded porous microplates using BCMO-ANN algorithm publication-title: Thin-Walled Struct. doi: 10.1016/j.tws.2022.110267 contributor: fullname: Tran – volume: 184 year: 2020 ident: 10.1016/j.tafmec.2023.104227_b0020 article-title: Crack propagation and burst pressure of longitudinally cracked pipelines using extended finite element method publication-title: Int. J. Press. Vessel. Pip. doi: 10.1016/j.ijpvp.2020.104115 contributor: fullname: Okodi – volume: 235 year: 2020 ident: 10.1016/j.tafmec.2023.104227_b0085 article-title: Meso-mechanics and damage evolution of AA5182-O aluminum alloy sheet Based on the GTN model publication-title: Eng. Fract. Mech. doi: 10.1016/j.engfracmech.2020.107162 contributor: fullname: Li – volume: 528–529 year: 2023 ident: 10.1016/j.tafmec.2023.104227_b0065 article-title: A novel calibration procedure of Johnson-Cook damage model parameters for simulation of scratch abrasion publication-title: Wear contributor: fullname: Rajaraman – volume: 122 start-page: 57 year: 2018 ident: 10.1016/j.tafmec.2023.104227_b0030 article-title: Pipeline corrosion and leakage monitoring based on the distributed optical fiber sensing technology publication-title: Measurement doi: 10.1016/j.measurement.2018.03.018 contributor: fullname: Ren – volume: 172 start-page: 261 year: 2019 ident: 10.1016/j.tafmec.2023.104227_b0035 article-title: Modeling of pipeline corrosion degradation mechanism with a Lévy Process based on ILI (In-Line) inspections publication-title: Int. J. Press. Vessel. Pip. doi: 10.1016/j.ijpvp.2019.03.001 contributor: fullname: Amaya-Gómez – volume: 273 year: 2021 ident: 10.1016/j.tafmec.2023.104227_b0260 article-title: An improved Artificial Neural Network using Arithmetic Optimization Algorithm for damage assessment in FGM composite plates publication-title: Compos. Struct. doi: 10.1016/j.compstruct.2021.114287 contributor: fullname: Khatir – volume: 7 start-page: 1179 issue: 11 year: 2017 ident: 10.1016/j.tafmec.2023.104227_b0235 article-title: Determination of the Constants of GTN Damage Model Using Experiment, Polynomial Regression and Kriging Methods publication-title: Appl. Sci. doi: 10.3390/app7111179 contributor: fullname: Rahimidehgolan – volume: 142 year: 2022 ident: 10.1016/j.tafmec.2023.104227_b0125 article-title: A novel version of grey wolf optimizer based on a balance function and its application for hyperparameters optimization in deep neural network (DNN) for structural damage identification publication-title: Eng. Fail. Anal. doi: 10.1016/j.engfailanal.2022.106829 contributor: fullname: Cuong-Le – volume: 204 start-page: 434 year: 2018 ident: 10.1016/j.tafmec.2023.104227_b0015 article-title: Crack tip opening angle during unstable ductile crack propagation of a high-pressure gas pipeline publication-title: Eng. Fract. Mech. doi: 10.1016/j.engfracmech.2018.10.020 contributor: fullname: Shibanuma – volume: 476 year: 2021 ident: 10.1016/j.tafmec.2023.104227_b0070 article-title: Stress state characterization of ductile materials during scratch abrasion publication-title: Wear doi: 10.1016/j.wear.2021.203712 contributor: fullname: Rajaraman – volume: 45 start-page: 17671 issue: 35 year: 2020 ident: 10.1016/j.tafmec.2023.104227_b0010 article-title: Investigation of the hydrogen induced cracking behaviour of API 5L X65 pipeline steel publication-title: Int. J. Hydrogen Energy doi: 10.1016/j.ijhydene.2020.04.211 contributor: fullname: Jack – volume: 11 issue: 5 year: 2021 ident: 10.1016/j.tafmec.2023.104227_b0245 article-title: Numerical Simulation of Some Steel Structural Elements with Uncertain Initial Porosity publication-title: Metals doi: 10.3390/met11050689 contributor: fullname: Kamiński – volume: 45 start-page: 1109 issue: 4 year: 2005 ident: 10.1016/j.tafmec.2023.104227_b0270 article-title: Interpreting Computational Neural Network Quantitative Structure−Activity Relationship Models: A Detailed Interpretation of the Weights and Biases publication-title: J. Chem. Inf. Model. doi: 10.1021/ci050110v contributor: fullname: Guha – volume: 311 year: 2023 ident: 10.1016/j.tafmec.2023.104227_b0160 article-title: A new hybrid PSO-YUKI for double cracks identification in CFRP cantilever beam publication-title: Compos. Struct. doi: 10.1016/j.compstruct.2023.116803 contributor: fullname: Khatir – volume: 233 year: 2021 ident: 10.1016/j.tafmec.2023.104227_b0145 article-title: Enhanced Jaya algorithm: A simple but efficient optimization method for constrained engineering design problems publication-title: Knowl.-Based Syst. doi: 10.1016/j.knosys.2021.107555 contributor: fullname: Zhang – volume: 304 year: 2023 ident: 10.1016/j.tafmec.2023.104227_b0230 article-title: Prediction of resisting force and tensile load reduction in GFRP composite materials using Artificial Neural Network-Enhanced Jaya Algorithm publication-title: Compos. Struct. doi: 10.1016/j.compstruct.2022.116326 contributor: fullname: Fahem – volume: 229 year: 2020 ident: 10.1016/j.tafmec.2023.104227_b0075 article-title: On the identification and uniqueness of constitutive parameters for a non-local GTN-model publication-title: Eng. Fract. Mech. doi: 10.1016/j.engfracmech.2019.106817 contributor: fullname: Seupel – volume: 245 year: 2021 ident: 10.1016/j.tafmec.2023.104227_b0080 article-title: Efficient parameters identification of a modified GTN model of ductile fracture using machine learning publication-title: Eng. Fract. Mech. doi: 10.1016/j.engfracmech.2021.107535 contributor: fullname: Chen – volume: 186 year: 2021 ident: 10.1016/j.tafmec.2023.104227_b0100 article-title: A novel version of Cuckoo search algorithm for solving optimization problems publication-title: Expert Syst. Appl. doi: 10.1016/j.eswa.2021.115669 contributor: fullname: Cuong-Le – ident: 10.1016/j.tafmec.2023.104227_b0050 doi: 10.1115/OMAE2018-78147 – volume: 103 year: 2019 ident: 10.1016/j.tafmec.2023.104227_b0150 article-title: A computational approach for crack identification in plate structures using XFEM, XIGA, PSO and Jaya algorithm publication-title: Theor. Appl. Fract. Mech. doi: 10.1016/j.tafmec.2019.102240 contributor: fullname: Khatir – volume: 303 year: 2023 ident: 10.1016/j.tafmec.2023.104227_b0215 article-title: Damage assessment in laminated composite plates using modal Strain Energy and YUKI-ANN algorithm publication-title: Compos. Struct. contributor: fullname: Shirazi – ident: 10.1016/j.tafmec.2023.104227_b0220 doi: 10.1007/978-3-031-24041-6_18 – volume: 258 year: 2021 ident: 10.1016/j.tafmec.2023.104227_b0195 article-title: Finite fracture Mechanics at the micro-scale. Application to bending tests of micro cantilever beams publication-title: Eng. Fract. Mech. doi: 10.1016/j.engfracmech.2021.108012 contributor: fullname: Jiménez-Alfaro – volume: 2018 start-page: 8429145 year: 2018 ident: 10.1016/j.tafmec.2023.104227_b0095 article-title: Ammonia-Oxidizing Archaea (AOA) Play with Ammonia-Oxidizing Bacteria (AOB) in Nitrogen Removal from Wastewater publication-title: Archaea doi: 10.1155/2018/8429145 contributor: fullname: Yin – volume: 28 start-page: 370 issue: 2 year: 2022 ident: 10.1016/j.tafmec.2023.104227_b0255 article-title: Prediction of Gurson Damage Model Parameters Coupled with Hardening Law Identification of Steel X70 Pipeline Using Neural Network publication-title: Met. Mater. Int. doi: 10.1007/s12540-021-01024-4 contributor: fullname: Ouladbrahim – ident: 10.1016/j.tafmec.2023.104227_b0110 doi: 10.1016/B978-0-12-813314-9.00010-4 |
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