PSI - Issue 43

Available online at www.sciencedirect.com Available online at www.sciencedirect.com ScienceDirect Structural Integrity Procedia 00 (2022) 000 – 000 Available online at www.sciencedirect.com ScienceDirect Structural Integrity Procedia 00 (2022) 000 – 000

www.elsevier.com/locate/procedia www.elsevier.com/locate/procedia

ScienceDirect

Procedia Structural Integrity 43 (2023) 246–251

© 2023 The Authors. Published by Elsevier B.V. This is an open access article under the CC BY-NC-ND license (https://creativecommons.org/licenses/by-nc-nd/4.0) Peer-review under the responsibility of MSMF10 organizers. © 20 23 The Authors. Published by Elsevier B.V. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/) Peer-review under the responsibility of MSMF10 organizers. investigation on modeling the cyclic-plastic be aviour of materials under stress-c ntrolled and strain-controlled testing; but amongst these, Chaboch 's isotropic-kinematic hardening (CIKH) model is quite popul r and a frequently used one. A new methodology has been rece tly propos d by some of the present authors to use gen tic algorithm towards opt ization of th parameters of CIKH modeling with a demonstration of its applic bility for a few mat rials. This investigation aims to elucidate th t this approach is pplicable to both cyclically stable materials as well as cyclic soften g or hardening materi ls using several examples on structural materials. The considered metallic materials include several aluminum (like AA7075-T6 alloy), iron CS-1026and Sa333 C-Mn s e l), titanium (like TA16 all y), zirconium (like Zr-4 al oy)-base alloys or superalloys (like INCONEL718 ) . The merit of the analysis of cyclic lastic deform tion behaviour of materials with the cur ent approac is inhere t in its a hieving higher accuracy of fitting o the xperimental data with a single set of material parameters und r both strain- nd stress-controlled cycling. This as been established with a co parative nalysis of the accuracy of itting by th present appro ch with th ones available from the xisti g reports. The pa ameters obtained using the approach for the different materials are compared to get insights into the mechanism of plastic deformation. © 20 23 The Authors. Published by Elsevier B.V. This is an ope access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/) Peer-review under the responsibility of MSMF10 organizers. 10th International Conference on Materials Structure and Micromechanics of Fracture Analyses of the model parameters of kinematic-isotropic hardening rule using genetic algorithm approach for predicting cyclic plasticity of metallic structural materials Atri Nath a , Ayan Ray b * and K. K. Ray c a Department of Civil Engineering, IIT Kharagpur India 721302, (currently with IIT Delhi-110016) India b Valeo Autoklimatizace k.s.Sazeˇcsk´a 24 7/2, 108 00 Prague, Czech Republic c Department of Metallurgical and Materials Engineering, IIT Kharagpur, Kharagpur-721302, India Abstract Modeling of engineering components under cyclic loading is complex because cyclic-plastic phenomena like the Bauschinger effect, ratcheting, shakedown, and mean stress relaxation are to be considered in the constitutive modeling. This has led to several investigations on modeling the cyclic-plastic behaviour of materials under stress-controlled and strain-controlled testing; but amongst these, Chaboche's isotropic-kinematic hardening (CIKH) model is quite popular and a frequently used one. A new methodology has been recently proposed by some of the present authors to use genetic algorithm towards optimization of the parameters of CIKH modeling with a demonstration of its applicability for a few materials. This investigation aims to elucidate that this approach is applicable to both cyclically stable materials as well as cyclic softening or hardening materials using several examples on structural materials. The considered metallic materials include several aluminum (like AA7075-T6 alloy), iron (like CS-1026and Sa333 C-Mn steel), titanium (like TA16 alloy), zirconium (like Zr-4 alloy)-base alloys or superalloys (like INCONEL718 ) . The merit of the analysis of cyclic plastic deformation behaviour of materials with the current approach is inherent in its achieving higher accuracy of fitting to the experimental data with a single set of material parameters under both strain- and stress-controlled cycling. This has been established with a comparative analysis of the accuracy of fitting by the present approach with the ones available from the existing reports. The parameters obtained using the approach for the different materials are compared to get insights into the mechanism of plastic deformation. 10th International Conference on Materials Structure and Micromechanics of Fracture Analyses of the model parameters of kinematic-isotropic hardening rule using genetic algorithm approach for predicting cyclic plasticity of metallic structural materials Atri Nath a , Ayan Ray b * and K. K. Ray c a Department of Civil Engineering, IIT Kharagpur India 7213 2, (currently with IIT Delhi-110016) India b Valeo Autoklim tizace k.s.Sazeˇcsk´a 24 7/2, 108 00 P ue, Czech Re blic c Department of Metallurgical and Materials Engineering, IIT Kharagpur, Kharagpur-721302, India Abstract Modeling of e ineering components und r cyclic loading is complex because cy lic-plastic phenomena like the Bauschinger eff ct, r cheting, shak down, and mean stress relaxati n are to b consider d in the stitutive modeling. This has led to several Keywords: Cyclic-plasticity; Isotropic-kinematic hardening; Parameter estimation; Genetic algorithm; Generalized approach Keywords: Cyclic-plasticity; Isotropic-kinematic hardening; Parameter estimation; Genetic algorithm; Generalized approach

* Corresponding author. Tel.: +91-9434230710 E-mail address: ayanray83@gmail.com * Correspon ing autho . Tel.: +91-9434230710 E-mail address: ayanray83@gmail.com

2452-3216 © 2023 The Authors. Published by ELSEVIER B.V. This is an open access article under the CC BY-NC-ND license (https://creativecommons.org/licenses/by-nc-nd/4.0) Peer-review under the responsibility of MSMF10 organizers. 10.1016/j.prostr.2022.12.266 2452-3216 © 2023 The Authors. Published by Elsevier B.V. This is an open access article under the CC BY-NC-ND license (https://creativecommons.org/licenses/by-nc-nd/4.0) Peer-review under the responsibility of MSMF10 organizers. 2452-3216 © 2023 The Authors. Published by Elsevier B.V. This is an ope access article under the CC BY-NC-ND license (https://creativecommons.org/licenses/by-nc-nd/4.0) Peer-review under the responsibility of MSMF10 organizers.