{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,20]],"date-time":"2026-03-20T14:46:15Z","timestamp":1774017975149,"version":"3.50.1"},"reference-count":68,"publisher":"Elsevier BV","license":[{"start":{"date-parts":[[2026,5,1]],"date-time":"2026-05-01T00:00:00Z","timestamp":1777593600000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/tdm\/userlicense\/1.0\/"},{"start":{"date-parts":[[2026,5,1]],"date-time":"2026-05-01T00:00:00Z","timestamp":1777593600000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/legal\/tdmrep-license"},{"start":{"date-parts":[[2026,5,1]],"date-time":"2026-05-01T00:00:00Z","timestamp":1777593600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-017"},{"start":{"date-parts":[[2026,5,1]],"date-time":"2026-05-01T00:00:00Z","timestamp":1777593600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"},{"start":{"date-parts":[[2026,5,1]],"date-time":"2026-05-01T00:00:00Z","timestamp":1777593600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-012"},{"start":{"date-parts":[[2026,5,1]],"date-time":"2026-05-01T00:00:00Z","timestamp":1777593600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2026,5,1]],"date-time":"2026-05-01T00:00:00Z","timestamp":1777593600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-004"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["52178365"],"award-info":[{"award-number":["52178365"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["elsevier.com","sciencedirect.com"],"crossmark-restriction":true},"short-container-title":["Engineering Applications of Artificial Intelligence"],"published-print":{"date-parts":[[2026,5]]},"DOI":"10.1016\/j.engappai.2026.114248","type":"journal-article","created":{"date-parts":[[2026,2,21]],"date-time":"2026-02-21T03:57:08Z","timestamp":1771646228000},"page":"114248","update-policy":"https:\/\/doi.org\/10.1016\/elsevier_cm_policy","source":"Crossref","is-referenced-by-count":0,"special_numbering":"C","title":["Extracting damage Poisson's ratio model from concrete constitutive relation using Kolmogorov-Arnold network"],"prefix":"10.1016","volume":"171","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-3422-4526","authenticated-orcid":false,"given":"Yu","family":"Yang","sequence":"first","affiliation":[]}],"member":"78","reference":[{"key":"10.1016\/j.engappai.2026.114248_bib1","article-title":"Uncertainty-driven damage estimation of concrete: integrating realistic aggregate morphology and stochastic flaw behaviour","author":"Bharadwaj","year":"2025","journal-title":"Int. J. Solid Struct."},{"key":"10.1016\/j.engappai.2026.114248_bib2","doi-asserted-by":"crossref","first-page":"714","DOI":"10.1016\/j.mspro.2014.06.117","article-title":"Modeling the behavior of concrete by damage mechanics with a Poisson's ratio variable","volume":"3","author":"Bouafia","year":"2014","journal-title":"Procedia Mater. Sci."},{"key":"10.1016\/j.engappai.2026.114248_bib3","doi-asserted-by":"crossref","first-page":"18","DOI":"10.1016\/j.jobe.2019.01.016","article-title":"Modulus of elasticity and Poisson's ratio of fiber-reinforced concrete in Colombia from ultrasonic pulse velocities","volume":"23","author":"Carrillo","year":"2019","journal-title":"J. Build. Eng."},{"issue":"3","key":"10.1016\/j.engappai.2026.114248_bib4","doi-asserted-by":"crossref","first-page":"664","DOI":"10.1007\/s12205-012-0081-3","article-title":"A note on the flexural behavior of concrete under different loading rates","volume":"19","author":"Chen","year":"2015","journal-title":"KSCE J. Civ. Eng."},{"key":"10.1016\/j.engappai.2026.114248_bib5","article-title":"Interpretable machine learning for science with PySR and SymbolicRegression. jl","author":"Cranmer","year":"2023","journal-title":"arXiv preprint arXiv:2305"},{"key":"10.1016\/j.engappai.2026.114248_bib6","doi-asserted-by":"crossref","first-page":"140","DOI":"10.1016\/j.cemconres.2017.06.005","article-title":"Experimental study of concrete damage under high hydrostatic pressure","volume":"100","author":"Cui","year":"2017","journal-title":"Cement Concr. Res."},{"key":"10.1016\/j.engappai.2026.114248_bib7","article-title":"SRBench++: principled benchmarking of symbolic regression with domain-expert interpretation","author":"de Franca","year":"2024","journal-title":"IEEE Trans. Evol. Comput. 29(4), 1127-1137"},{"issue":"4","key":"10.1016\/j.engappai.2026.114248_bib8","doi-asserted-by":"crossref","first-page":"307","DOI":"10.1007\/s10338-006-0637-1","article-title":"Strength criterion for plain concrete under multiaxial stress based on damage Poisson's ratio","volume":"19","author":"Ding","year":"2006","journal-title":"Acta Mech. Solida Sin."},{"key":"10.1016\/j.engappai.2026.114248_bib9","article-title":"Characterization of multi-waste concrete incorporating recycled aggregate, asphalt, fly ash, and rubber waste: structural and environmental assessment","author":"Dominguez-Santos","year":"2025","journal-title":"Case Stud. Constr. Mater."},{"issue":"3","key":"10.1016\/j.engappai.2026.114248_bib10","doi-asserted-by":"crossref","first-page":"49","DOI":"10.1023\/B:FRAC.0000026587.43467.e6","article-title":"On Poisson's ratio and volumetric strain in concrete","volume":"126","author":"Ferretti","year":"2004","journal-title":"Int. J. Fract."},{"issue":"11","key":"10.1016\/j.engappai.2026.114248_bib11","doi-asserted-by":"crossref","DOI":"10.1016\/j.heliyon.2023.e22206","article-title":"Mix design process for sustainable self-compacting geopolymer concrete","volume":"9","author":"Ghafoor","year":"2023","journal-title":"Heliyon"},{"key":"10.1016\/j.engappai.2026.114248_bib12","series-title":"The Strength and Deformation of Concrete: Experimental Basis and Constitutive Relationship","author":"Guo","year":"1997"},{"issue":"5","key":"10.1016\/j.engappai.2026.114248_bib13","first-page":"26","article-title":"The constitutive relationship model of concrete and its application in numerical analysis of steel tube concrete","volume":"28","author":"Han","year":"1995","journal-title":"Journal of Harbin Institute of Architecture"},{"key":"10.1016\/j.engappai.2026.114248_bib14","doi-asserted-by":"crossref","DOI":"10.1016\/j.modpat.2025.100705","article-title":"Future of artificial intelligence (AI)-machine learning (ML) trends in pathology and medicine","author":"Hanna","year":"2025","journal-title":"Mod. Pathol."},{"issue":"1","key":"10.1016\/j.engappai.2026.114248_bib15","first-page":"305","article-title":"Ian goodfellow, yoshua bengio, and aaron courville: deep learning","volume":"19","author":"Heaton","year":"2018","journal-title":"The MIT press"},{"key":"10.1016\/j.engappai.2026.114248_bib16","article-title":"Study of combined bending and axial load in reinforced concrete members. University of Illinois","author":"Hognestad","year":"1951","journal-title":"Engineering Experiment Station. Bulletin"},{"key":"10.1016\/j.engappai.2026.114248_bib17","doi-asserted-by":"crossref","DOI":"10.1016\/j.measurement.2024.115003","article-title":"Structural concrete measurements: new distributed approach for standard specimens","volume":"235","author":"Howiacki","year":"2024","journal-title":"Measurement"},{"key":"10.1016\/j.engappai.2026.114248_bib18","doi-asserted-by":"crossref","DOI":"10.1016\/j.engfracmech.2019.106685","article-title":"Analysis on the influence of Poisson's ratio on brittle fracture by applying uni-bond dual-parameter peridynamic model","volume":"222","author":"Huang","year":"2019","journal-title":"Eng. Fract. Mech."},{"key":"10.1016\/j.engappai.2026.114248_bib19","doi-asserted-by":"crossref","DOI":"10.1016\/j.conbuildmat.2021.125269","article-title":"Experimental study of creep Poisson ratio of hydraulic concrete under multi-age loading-unloading conditions","volume":"310","author":"Huang","year":"2021","journal-title":"Constr. Build. Mater."},{"issue":"6","key":"10.1016\/j.engappai.2026.114248_bib20","doi-asserted-by":"crossref","first-page":"1161","DOI":"10.3390\/electronics14061161","article-title":"Symbolic regression based on Kolmogorov-Arnold Networks for Gray-Box Simulation Program with integrated circuit emphasis model of generic transistors","volume":"14","author":"Huang","year":"2025","journal-title":"Electronics"},{"issue":"2","key":"10.1016\/j.engappai.2026.114248_bib21","first-page":"432","article-title":"A non-local transient-gradient enhanced damage modelling method incorporating variable Poisson's ratio for brittle bi-material composites","volume":"23","author":"Jelvehpour","year":"2020","journal-title":"Eng. Sci. Technol. Int. J."},{"key":"10.1016\/j.engappai.2026.114248_bib22","doi-asserted-by":"crossref","DOI":"10.1016\/j.cemconcomp.2025.106192","article-title":"Experimental investigations on elasto-plastic behavior and fracture mechanism of ASR-Damaged concrete","author":"Joo","year":"2025","journal-title":"Cement Concr. Compos."},{"key":"10.1016\/j.engappai.2026.114248_bib23","volume":"vol. 1","author":"Knuth","year":"1997"},{"key":"10.1016\/j.engappai.2026.114248_bib24","doi-asserted-by":"crossref","DOI":"10.1016\/j.cma.2024.117397","article-title":"KAN-ODEs: Kolmogorov-arnold network ordinary differential equations for learning dynamical systems and hidden physics","volume":"432","author":"Koenig","year":"2024","journal-title":"Comput. Methods Appl. Mech. Eng."},{"key":"10.1016\/j.engappai.2026.114248_bib25","series-title":"Genetic Programming: on the Programming of Computers by Means of Natural Selection","author":"Koza","year":"1992"},{"issue":"3","key":"10.1016\/j.engappai.2026.114248_bib26","doi-asserted-by":"crossref","first-page":"501","DOI":"10.1016\/0893-6080(92)90012-8","article-title":"Kolmogorov's theorem and multilayer neural networks","volume":"5","author":"K\u016frkov\u00e1","year":"1992","journal-title":"Neural Netw."},{"issue":"DB1","key":"10.1016\/j.engappai.2026.114248_bib27","first-page":"1","article-title":"Contemporary symbolic regression methods and their relative performance","volume":"2021","author":"La Cava","year":"2021","journal-title":"Adv. Neural Inf. Process. Syst."},{"issue":"8","key":"10.1016\/j.engappai.2026.114248_bib28","first-page":"892","article-title":"Plastic-damage model for cyclic loading of concrete structures","volume":"124","author":"Lee","year":"1998","journal-title":"J. Eng. Mech."},{"key":"10.1016\/j.engappai.2026.114248_bib29","article-title":"Kan: Kolmogorov-arnold networks","author":"Liu","year":"2024","journal-title":"arXiv preprint arXiv:2404"},{"key":"10.1016\/j.engappai.2026.114248_bib30","article-title":"Kolmogorov-Arnold networks meet science","volume":"15","author":"Liu","year":"2025","journal-title":"Phys. Rev. X"},{"key":"10.1016\/j.engappai.2026.114248_bib31","article-title":"Structured Kolmogorov-Arnold neural ODEs for interpretable learning and symbolic discovery of nonlinear dynamics","author":"Liu","year":"2025","journal-title":"arXiv preprint arXiv:2506"},{"issue":"3","key":"10.1016\/j.engappai.2026.114248_bib32","doi-asserted-by":"crossref","first-page":"299","DOI":"10.1016\/0020-7683(89)90050-4","article-title":"A plastic-damage model for concrete","volume":"25","author":"Lubliner","year":"1989","journal-title":"Int. J. Solid Struct."},{"key":"10.1016\/j.engappai.2026.114248_bib33","first-page":"4765","article-title":"A unified approach to interpreting model predictions","volume":"30","author":"Lundberg","year":"2017","journal-title":"Adv. Neural Inf. Process. Syst."},{"issue":"1","key":"10.1016\/j.engappai.2026.114248_bib34","doi-asserted-by":"crossref","first-page":"2","DOI":"10.1007\/s10462-023-10622-0","article-title":"Interpretable scientific discovery with symbolic regression: a review","volume":"57","author":"Makke","year":"2024","journal-title":"Artif. Intell. Rev."},{"issue":"5-6","key":"10.1016\/j.engappai.2026.114248_bib35","doi-asserted-by":"crossref","first-page":"729","DOI":"10.1016\/0013-7944(86)90036-6","article-title":"A description of micro-and macroscale damage of concrete structures","volume":"25","author":"Mazars","year":"1986","journal-title":"Eng. Fract. Mech."},{"key":"10.1016\/j.engappai.2026.114248_bib36","series-title":"Code for Design of Concrete Structures: GB 50010-2010","year":"2014"},{"key":"10.1016\/j.engappai.2026.114248_bib37","doi-asserted-by":"crossref","DOI":"10.1016\/j.cemconres.2020.106317","article-title":"Meso-scale modelling of compressive fracture in concrete with irregularly shaped aggregates","volume":"140","author":"Naderi","year":"2021","journal-title":"Cement Concr. Res."},{"issue":"6","key":"10.1016\/j.engappai.2026.114248_bib38","doi-asserted-by":"crossref","first-page":"2170","DOI":"10.1177\/09544062231196038","article-title":"Artificial neural networks for predicting mechanical properties of Al2219-B4C-Gr composites with multireinforcements","volume":"238","author":"Nagaraju","year":"2024","journal-title":"Proc. IME C J. Mech. Eng. Sci."},{"issue":"1","key":"10.1016\/j.engappai.2026.114248_bib39","doi-asserted-by":"crossref","first-page":"255","DOI":"10.1007\/s00707-023-03743-8","article-title":"Plastic damage prediction of concrete under compression based on deep learning","volume":"235","author":"Niu","year":"2024","journal-title":"Acta Mech."},{"issue":"1","key":"10.1016\/j.engappai.2026.114248_bib40","doi-asserted-by":"crossref","first-page":"127","DOI":"10.1061\/JMCEA3.0002446","article-title":"Constitutive model for short-time loading of concrete","volume":"105","author":"Ottosen","year":"1979","journal-title":"J. Eng. Mech. Div."},{"issue":"4","key":"10.1016\/j.engappai.2026.114248_bib41","doi-asserted-by":"crossref","first-page":"997","DOI":"10.1111\/ffe.13409","article-title":"Static strength of brittle materials under multiaxial nonuniform stress states: a novel statistical model for assessing size effects","volume":"44","author":"Pagnoncelli","year":"2021","journal-title":"Fatig. Fract. Eng. Mater. Struct."},{"key":"10.1016\/j.engappai.2026.114248_bib42","article-title":"Opening the Black-Box: Symbolic regression with Kolmogorov-Arnold networks for energy applications","author":"Panczyk","year":"2025","journal-title":"arXiv preprint arXiv:2504"},{"key":"10.1016\/j.engappai.2026.114248_bib43","doi-asserted-by":"crossref","DOI":"10.1016\/j.teac.2025.e00280","article-title":"Artificial intelligence and machine learning for colorimetric detections: techniques, applications, and future prospects","author":"Parakh","year":"2025","journal-title":"Trends in Environmental Analytical Chemistry"},{"issue":"10","key":"10.1016\/j.engappai.2026.114248_bib44","doi-asserted-by":"crossref","first-page":"1647","DOI":"10.1016\/S0008-8846(99)00159-3","article-title":"Poisson's ratio of high-performance concrete","volume":"29","author":"Persson","year":"1999","journal-title":"Cement Concr. Res."},{"key":"10.1016\/j.engappai.2026.114248_bib45","doi-asserted-by":"crossref","DOI":"10.1016\/j.engappai.2024.109910","article-title":"Artificial intelligence and machine learning in mechanical engineering: current trends and future prospects","volume":"142","author":"Puttegowda","year":"2025","journal-title":"Eng. Appl. Artif. Intell."},{"issue":"6088","key":"10.1016\/j.engappai.2026.114248_bib46","doi-asserted-by":"crossref","first-page":"533","DOI":"10.1038\/323533a0","article-title":"Learning representations by back-propagating errors","volume":"323","author":"Rumelhart","year":"1986","journal-title":"nature"},{"issue":"1","key":"10.1016\/j.engappai.2026.114248_bib47","first-page":"1","article-title":"Researches toward a general flexural theory for structural concrete","volume":"57","author":"R\u00fcsch","year":"1960","journal-title":"J. Am. Concr. Inst."},{"key":"10.1016\/j.engappai.2026.114248_bib48","doi-asserted-by":"crossref","first-page":"119","DOI":"10.1016\/j.neunet.2021.01.020","article-title":"The Kolmogorov-Arnold representation theorem revisited","volume":"137","author":"Schmidt-Hieber","year":"2021","journal-title":"Neural Netw."},{"key":"10.1016\/j.engappai.2026.114248_bib49","doi-asserted-by":"crossref","DOI":"10.1016\/j.conbuildmat.2025.141365","article-title":"Study on uniaxial compressive properties and microfracture toughness of interface transition zones in recycled sand concrete","volume":"477","author":"Shi","year":"2025","journal-title":"Constr. Build. Mater."},{"key":"10.1016\/j.engappai.2026.114248_bib50","doi-asserted-by":"crossref","DOI":"10.1016\/j.cma.2024.117290","article-title":"A comprehensive and FAIR comparison between MLP and KAN representations for differential equations and operator networks","volume":"431","author":"Shukla","year":"2024","journal-title":"Comput. Methods Appl. Mech. Eng."},{"key":"10.1016\/j.engappai.2026.114248_bib51","series-title":"Physical Non-linearities in Structural Analysis: Symposium Senlis, France May 27-30, 1980","first-page":"237","article-title":"Description of anisotropic damage application to elasticity","author":"Sidoroff","year":"1981"},{"key":"10.1016\/j.engappai.2026.114248_bib52","doi-asserted-by":"crossref","DOI":"10.1016\/j.cma.2025.118089","article-title":"Can kan cans? Input-convex kolmogorov-arnold networks (kans) as hyperelastic constitutive artificial neural networks (cans)","volume":"443","author":"Thakolkaran","year":"2025","journal-title":"Comput. Methods Appl. Mech. Eng."},{"key":"10.1016\/j.engappai.2026.114248_bib53","series-title":"Review of Pysr: High-Performance Symbolic Regression in Python and Julia","author":"Tonda","year":"2025"},{"key":"10.1016\/j.engappai.2026.114248_bib54","first-page":"4860","article-title":"AI Feynman 2.0: Pareto-optimal symbolic regression exploiting graph modularity","volume":"33","author":"Udrescu","year":"2020","journal-title":"Adv. Neural Inf. Process. Syst."},{"issue":"1","key":"10.1016\/j.engappai.2026.114248_bib55","doi-asserted-by":"crossref","first-page":"115","DOI":"10.1002\/(SICI)1099-1484(199601)1:1<115::AID-CFM6>3.0.CO;2-U","article-title":"Experimental investigation of concrete fracture under uniaxial compression","volume":"1","author":"van Vliet","year":"1996","journal-title":"Mech. Cohesive-Frict. Mater.: An International Journal on Experiments, Modelling and Computation of Materials and Structures"},{"key":"10.1016\/j.engappai.2026.114248_bib56","doi-asserted-by":"crossref","DOI":"10.1016\/j.conbuildmat.2021.123332","article-title":"Interfacial transition zones in concrete meso-scale models\u2013balancing physical realism and computational efficiency","volume":"293","author":"Wang","year":"2021","journal-title":"Constr. Build. Mater."},{"issue":"5","key":"10.1016\/j.engappai.2026.114248_bib57","first-page":"637","article-title":"Exploring the mathematic equations behind the materials science data using interpretable symbolic regression","volume":"3","author":"Wang","year":"2024","journal-title":"Interdiscip. Mater."},{"issue":"8","key":"10.1016\/j.engappai.2026.114248_bib58","doi-asserted-by":"crossref","first-page":"3189","DOI":"10.3390\/app14083189","article-title":"Finite element analysis for linear viscoelastic materials considering time-dependent Poisson's ratio: variable stiffness method","volume":"14","author":"Wang","year":"2024","journal-title":"Applied Sciences"},{"key":"10.1016\/j.engappai.2026.114248_bib59","volume":"vol. 19","author":"Willam","year":"1975"},{"key":"10.1016\/j.engappai.2026.114248_bib60","first-page":"21","article-title":"Experimental research on deformation properties and stress- strain curve of C30 recycled concrete","volume":"12","author":"Wu","year":"2009","journal-title":"Concrete"},{"key":"10.1016\/j.engappai.2026.114248_bib61","article-title":"Test study on uniaxial compressive behaviors of compound concrete made of normal-strength demolished concrete lumps and high-strength self-compacting concrete","volume":"2","author":"Wu","year":"2016","journal-title":"J. Build. Struct."},{"key":"10.1016\/j.engappai.2026.114248_bib62","doi-asserted-by":"crossref","DOI":"10.1016\/j.ijimpeng.2025.105226","article-title":"Hydro-elastoplastic constitutive model of concrete incorporating regularization of mesh-size sensitivity subjected to contact explosion loads","volume":"198","author":"Yan","year":"2025","journal-title":"Int. J. Impact Eng."},{"key":"10.1016\/j.engappai.2026.114248_bib63","article-title":"Fitting method of concrete damage Poisson's ratio model based on Kolmogorov-Arnold network","volume":"66","author":"Yang","year":"2025","journal-title":"Eng. Sci. Technol. Int. J."},{"key":"10.1016\/j.engappai.2026.114248_bib64","article-title":"Kan or mlp: a fairer comparison","author":"Yu","year":"2024","journal-title":"arXiv preprint arXiv:2407"},{"key":"10.1016\/j.engappai.2026.114248_bib65","doi-asserted-by":"crossref","DOI":"10.1016\/j.ijsolstr.2025.113281","article-title":"A new constitutive model of concrete developed in the framework of damage and multi-surface plasticity: theory and verification","volume":"312","author":"\u017darkovi\u0107","year":"2025","journal-title":"Int. J. Solid Struct."},{"issue":"3","key":"10.1016\/j.engappai.2026.114248_bib66","first-page":"240","article-title":"Mechanical properties of high-strength lightweight concrete","volume":"88","author":"Zhang","year":"1991","journal-title":"Materials Journal"},{"key":"10.1016\/j.engappai.2026.114248_bib67","article-title":"Free-Knots Kolmogorov-Arnold network: on the analysis of spline knots and advancing stability","author":"Zheng","year":"2025","journal-title":"arXiv preprint arXiv:2501"},{"key":"10.1016\/j.engappai.2026.114248_bib68","series-title":"The concrete-filled Steel Tubular Structures","author":"Zhong","year":"1987"}],"container-title":["Engineering Applications of Artificial Intelligence"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S0952197626005294?httpAccept=text\/xml","content-type":"text\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S0952197626005294?httpAccept=text\/plain","content-type":"text\/plain","content-version":"vor","intended-application":"text-mining"}],"deposited":{"date-parts":[[2026,3,20]],"date-time":"2026-03-20T13:00:55Z","timestamp":1774011655000},"score":1,"resource":{"primary":{"URL":"https:\/\/linkinghub.elsevier.com\/retrieve\/pii\/S0952197626005294"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026,5]]},"references-count":68,"alternative-id":["S0952197626005294"],"URL":"https:\/\/doi.org\/10.1016\/j.engappai.2026.114248","relation":{},"ISSN":["0952-1976"],"issn-type":[{"value":"0952-1976","type":"print"}],"subject":[],"published":{"date-parts":[[2026,5]]},"assertion":[{"value":"Elsevier","name":"publisher","label":"This article is maintained by"},{"value":"Extracting damage Poisson's ratio model from concrete constitutive relation using Kolmogorov-Arnold network","name":"articletitle","label":"Article Title"},{"value":"Engineering Applications of Artificial Intelligence","name":"journaltitle","label":"Journal Title"},{"value":"https:\/\/doi.org\/10.1016\/j.engappai.2026.114248","name":"articlelink","label":"CrossRef DOI link to publisher maintained version"},{"value":"article","name":"content_type","label":"Content Type"},{"value":"\u00a9 2026 Elsevier Ltd. All rights are reserved, including those for text and data mining, AI training, and similar technologies.","name":"copyright","label":"Copyright"}],"article-number":"114248"}}