{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,31]],"date-time":"2025-10-31T14:31:24Z","timestamp":1761921084511},"reference-count":38,"publisher":"Springer Science and Business Media LLC","issue":"8","license":[{"start":{"date-parts":[[2022,12,16]],"date-time":"2022-12-16T00:00:00Z","timestamp":1671148800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2022,12,16]],"date-time":"2022-12-16T00:00:00Z","timestamp":1671148800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"funder":[{"name":"the Science and Technology Agency of Zhejiang Province","award":["2015C33222"],"award-info":[{"award-number":["2015C33222"]}]}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Artif Intell Rev"],"published-print":{"date-parts":[[2023,8]]},"DOI":"10.1007\/s10462-022-10369-0","type":"journal-article","created":{"date-parts":[[2022,12,16]],"date-time":"2022-12-16T07:02:47Z","timestamp":1671174167000},"page":"7613-7632","update-policy":"http:\/\/dx.doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["Prediction of the static load test results of bridges based on the dynamic load test and the Kriging model"],"prefix":"10.1007","volume":"56","author":[{"given":"Pengzhen","family":"Lu","sequence":"first","affiliation":[]},{"given":"Dengguo","family":"Li","sequence":"additional","affiliation":[]},{"given":"Yangrui","family":"Chen","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2022,12,16]]},"reference":[{"issue":"4","key":"10369_CR1","doi-asserted-by":"publisher","first-page":"455","DOI":"10.1061\/(ASCE)0733-9399(1998)124:4(455)","volume":"124","author":"JL Beck","year":"1998","unstructured":"Beck JL, Katafygiotis LS (1998) Updating models and their uncertainties. I: Bayesian statistical framework. J Eng Mech 124(4):455\u2013461","journal-title":"J Eng Mech"},{"key":"10369_CR2","doi-asserted-by":"publisher","first-page":"33","DOI":"10.1016\/j.finel.2013.11.002","volume":"80","author":"S Chakraborty","year":"2014","unstructured":"Chakraborty S, Sen A (2014) Adaptive response surface based efficient finite element model updating. Finite Elem Anal Des 80:33\u201340","journal-title":"Finite Elem Anal Des"},{"issue":"6","key":"10369_CR3","doi-asserted-by":"publisher","first-page":"1482","DOI":"10.5740\/jaoacint.12-156","volume":"96","author":"YB Chen","year":"2013","unstructured":"Chen YB, Chen JX, Wang W (2013) Uniform sampling table method and its applications: establishment of a uniform sampling method. J AOAC Int 96(6):1482\u20131486","journal-title":"J AOAC Int"},{"issue":"3","key":"10369_CR4","doi-asserted-by":"publisher","first-page":"993","DOI":"10.1007\/s00158-018-2183-0","volume":"59","author":"XN Fan","year":"2019","unstructured":"Fan XN, Wang PF, Hao FF (2019) Reliability-based design optimization of crane bridges using Kriging-based surrogate models. Struct Multidisc Optim 59(3):993\u20131005","journal-title":"Struct Multidisc Optim"},{"key":"10369_CR5","doi-asserted-by":"publisher","first-page":"455","DOI":"10.1016\/j.enbuild.2016.05.060","volume":"126","author":"Y Ge","year":"2016","unstructured":"Ge Y, Zhou CK, Hepburn DM (2016) Domestic electricity load modelling by multiple Gaussian functions. Energy Build 126:455\u2013462","journal-title":"Energy Build"},{"key":"10369_CR6","doi-asserted-by":"publisher","first-page":"251","DOI":"10.1016\/j.compstruc.2013.07.009","volume":"128","author":"JA Goulet","year":"2013","unstructured":"Goulet JA, Smith IFC (2013) Structural identification with systematic errors and unknown uncertainty dependencies. Comput Struct 128:251\u2013258","journal-title":"Comput Struct"},{"issue":"4","key":"10369_CR7","doi-asserted-by":"publisher","first-page":"617","DOI":"10.1061\/(ASCE)0733-9445(2005)131:4(617)","volume":"131","author":"B Jaishi","year":"2005","unstructured":"Jaishi B, Ren WX (2005) Structural finite element model updating using ambient vibration test results. J Struct Eng 131(4):617\u2013628","journal-title":"J Struct Eng"},{"key":"10369_CR8","doi-asserted-by":"publisher","first-page":"56364","DOI":"10.1109\/ACCESS.2021.3072199","volume":"9","author":"JJ Jiang","year":"2021","unstructured":"Jiang JJ, Wei WX, Shao WL, Liang YF, Qu YY (2021) Research on large-scale bi-level particle swarm optimization algorithm. IEEE Access 9:56364\u201356375","journal-title":"IEEE Access"},{"issue":"14","key":"10369_CR9","doi-asserted-by":"publisher","first-page":"6337","DOI":"10.1007\/s10518-020-00934-9","volume":"18","author":"HH Li","year":"2020","unstructured":"Li HH, Li LF, Zhou GJ, Xu L (2020) Effects of various modeling uncertainty parameters on the seismic response and seismic fragility estimates of the aging highway bridges. Bull Earthq Eng 18(14):6337\u20136373","journal-title":"Bull Earthq Eng"},{"issue":"3","key":"10369_CR10","doi-asserted-by":"publisher","first-page":"04020007","DOI":"10.1061\/(ASCE)BE.1943-5592.0001530","volume":"25","author":"M Li","year":"2020","unstructured":"Li M, Jia GF (2020) Bayesian updating of bridge condition deterioration models using complete and incomplete inspection data. J Bridg Eng 25(3):04020007","journal-title":"J Bridg Eng"},{"issue":"16","key":"10369_CR11","doi-asserted-by":"publisher","first-page":"1985","DOI":"10.3390\/math9161985","volume":"9","author":"YH Li","year":"2021","unstructured":"Li YH, Shi JJ, Yin ZF, Shen JF, Wu YZ, Wang ST (2021) An improved high-dimensional kriging surrogate modeling method through principal component dimension reduction. Mathematics 9(16):1985","journal-title":"Mathematics"},{"key":"10369_CR12","doi-asserted-by":"publisher","first-page":"368","DOI":"10.4028\/www.scientific.net\/AMM.723.368","volume":"723","author":"YW Li","year":"2015","unstructured":"Li YW, Zhang LH (2015) Finite element model updating of T beam bridge based on ANSYS. Appl Mech Mater 723:368\u2013371","journal-title":"Appl Mech Mater"},{"issue":"4","key":"10369_CR13","first-page":"52","volume":"34","author":"P Liang","year":"2014","unstructured":"Liang P, Li B, Wang XL, Wang XG, Wu XN, Ma XM (2014) Present research status and development trend of finite element model updating based on bridge health monitoring. J Chang\u2019An Univ: Nat Sci Ed 34(4):52\u201361","journal-title":"J Chang\u2019An Univ: Nat Sci Ed"},{"key":"10369_CR14","doi-asserted-by":"publisher","first-page":"277","DOI":"10.1016\/j.oceaneng.2018.02.011","volume":"154","author":"K Liu","year":"2018","unstructured":"Liu K, Yan RJ, Soares CG (2018) An improved model updating technique based on modal data. Ocean Eng 154:277\u2013287","journal-title":"Ocean Eng"},{"issue":"6","key":"10369_CR15","doi-asserted-by":"publisher","first-page":"2533","DOI":"10.1002\/suco.202000016","volume":"21","author":"PZ Lu","year":"2020","unstructured":"Lu PZ, Pan JP, Hong T, Li DG, Chen YR (2020) Prediction method of bridge static deformation based on dynamic test. Struct Concr 21(6):2533\u20132548","journal-title":"Struct Concr"},{"issue":"3","key":"10369_CR16","doi-asserted-by":"publisher","first-page":"495","DOI":"10.1007\/s11831-016-9178-z","volume":"24","author":"T Mukhopadhyay","year":"2017","unstructured":"Mukhopadhyay T, Chakraborty S, Dey S, Adhikari S, Chowdhury R (2017) A critical assessment of kriging model variants for high-fidelity uncertainty quantification in dynamics of composite shells. Arch Comput Methods Eng 24(3):495\u2013518","journal-title":"Arch Comput Methods Eng"},{"issue":"6","key":"10369_CR17","doi-asserted-by":"publisher","first-page":"908","DOI":"10.1177\/1369433216630370","volume":"19","author":"T Mukhopadhyay","year":"2016","unstructured":"Mukhopadhyay T, Chowdhury R, Chakrabarti A (2016) Structural damage identification: a random sampling-high dimensional model representation approach. Adv Struct Eng 19(6):908\u2013927","journal-title":"Adv Struct Eng"},{"key":"10369_CR18","doi-asserted-by":"publisher","first-page":"113915","DOI":"10.1016\/j.cma.2021.113915","volume":"383","author":"PH Ni","year":"2021","unstructured":"Ni PH, Li J, Hao H, Han Q, Du XL (2021) Probabilistic model updating via variational Bayesian inference and adaptive Gaussian process modeling. Comput Methods Appl Mech Eng 383:113915","journal-title":"Comput Methods Appl Mech Eng"},{"issue":"2","key":"10369_CR19","doi-asserted-by":"publisher","first-page":"335","DOI":"10.1007\/s10489-018-1258-3","volume":"49","author":"Y Ning","year":"2019","unstructured":"Ning Y, Peng ZS, Dai YX, Bi DQ, Wang J (2019) Enhanced particle swarm optimization with multi-swarm and multi-velocity for optimizing high-dimensional problems. Appl Intell 49(2):335\u2013351","journal-title":"Appl Intell"},{"key":"10369_CR20","doi-asserted-by":"publisher","first-page":"56","DOI":"10.1016\/j.catena.2013.09.006","volume":"113","author":"MA Oliver","year":"2014","unstructured":"Oliver MA, Webster R (2014) A tutorial guide to geostatistics: computing and modelling variograms and kriging. CATENA 113:56\u201369","journal-title":"CATENA"},{"issue":"2","key":"10369_CR21","doi-asserted-by":"publisher","first-page":"103","DOI":"10.1016\/S0266-8920(00)00012-6","volume":"16","author":"C Papadimitriou","year":"2001","unstructured":"Papadimitriou C, Beck JL, Katafygiotis LS (2001) Updating robust reliability using structural test data. Probab Eng Mech 16(2):103\u2013113","journal-title":"Probab Eng Mech"},{"issue":"6","key":"10369_CR22","doi-asserted-by":"publisher","first-page":"15","DOI":"10.3390\/s18061879","volume":"18","author":"SQ Qin","year":"2018","unstructured":"Qin SQ, Zhang YZ, Zhou YL, Kang JT (2018) Dynamic model updating for bridge structures using the Kriging model and PSO algorithm ensemble with higher vibration modes. Sensors 18(6):15","journal-title":"Sensors"},{"key":"10369_CR23","doi-asserted-by":"publisher","first-page":"136","DOI":"10.1016\/j.jappgeo.2018.05.003","volume":"154","author":"H Rahimi","year":"2018","unstructured":"Rahimi H, Asghari O, Afshar A (2018) A geostatistical investigation of 3D magnetic inversion results using multi-Gaussian kriging and sequential Gaussian co-simulation. J Appl Geophys 154:136\u2013149","journal-title":"J Appl Geophys"},{"issue":"8","key":"10369_CR24","doi-asserted-by":"publisher","first-page":"2455","DOI":"10.1016\/j.engstruct.2010.04.019","volume":"32","author":"WX Ren","year":"2010","unstructured":"Ren WX, Chen HB (2010) Finite element model updating in structural dynamics by using the response surface method. Eng Struct 32(8):2455\u20132465","journal-title":"Eng Struct"},{"issue":"10","key":"10369_CR25","doi-asserted-by":"publisher","first-page":"141","DOI":"10.3390\/buildings8100141","volume":"8","author":"F Santos","year":"2018","unstructured":"Santos F, Cismasiu C, Cismasiu I, Bedon C (2018) Dynamic characterisation and finite element updating of a RC stadium grandstand. Buildings 8(10):141","journal-title":"Buildings"},{"key":"10369_CR26","doi-asserted-by":"publisher","first-page":"545","DOI":"10.1016\/j.apm.2019.01.040","volume":"70","author":"Y Shi","year":"2019","unstructured":"Shi Y, Lu ZZ, Xu LY, Chen SY (2019) An adaptive multiple-Kriging-surrogate method for time-dependent reliability analysis. Appl Math Model 70:545\u2013571","journal-title":"Appl Math Model"},{"key":"10369_CR27","doi-asserted-by":"publisher","first-page":"25","DOI":"10.1016\/j.probengmech.2017.06.004","volume":"54","author":"A Sofi","year":"2018","unstructured":"Sofi A, Romeo E (2018) A unified response surface framework for the interval and stochastic finite element analysis of structures with uncertain parameters. Probab Eng Mech 54:25\u201336","journal-title":"Probab Eng Mech"},{"key":"10369_CR28","doi-asserted-by":"crossref","unstructured":"Tarasov D, Buevich A, Shichkin A, Subbotina I, Tyagunov A, Baglaeva E, Aip (2017) Chromium distribution forecasting using multilayer perceptron neural network and multilayer perceptron residual Kriging. International Conference of Numerical Analysis and Applied Mathematics (ICNAAM), Vol. 1978. Thessaloniki, Greece","DOI":"10.1063\/1.5044048"},{"key":"10369_CR29","doi-asserted-by":"crossref","unstructured":"Ulaganathan S, Couckuyt I, Deschrijver D, Laermans E, and Dhaene T. (2015). A Matlab toolbox for Kriging metamodelling. 15th Annual International Conference on Computational Science (ICCS), Vol. 51. Reykjavik Univ, Reykjavik, Iceland, pp. 2708\u20132713","DOI":"10.1016\/j.procs.2015.05.395"},{"issue":"6","key":"10369_CR30","doi-asserted-by":"publisher","first-page":"04014164","DOI":"10.1061\/(ASCE)ST.1943-541X.0001108","volume":"141","author":"HP Wan","year":"2015","unstructured":"Wan HP, Ren WX (2015) Parameter selection in finite-element-model updating by global sensitivity analysis using gaussian process metamodel. J Struct Eng 141(6):04014164","journal-title":"J Struct Eng"},{"issue":"4","key":"10369_CR31","doi-asserted-by":"publisher","first-page":"04015077","DOI":"10.1061\/(ASCE)BE.1943-5592.0000818","volume":"21","author":"G Washer","year":"2016","unstructured":"Washer G, Connor R, Nasrollahi M, Provines J (2016) New framework for risk-based inspection of highway bridges. J Bridg Eng 21(4):04015077","journal-title":"J Bridg Eng"},{"issue":"11","key":"10369_CR32","doi-asserted-by":"crossref","first-page":"8980756","DOI":"10.1155\/2018\/8980756","volume":"2018","author":"J Wu","year":"2018","unstructured":"Wu J, Yan QS, Huang SP, Zou C, Zhong JT, Wang WF (2018) Finite element model updating in bridge structures using Kriging model and Latin hypercube sampling method. Adv Civil Eng 2018(11):8980756","journal-title":"Adv Civil Eng"},{"key":"10369_CR33","doi-asserted-by":"publisher","first-page":"80","DOI":"10.1016\/j.finel.2014.08.007","volume":"92","author":"J Zhang","year":"2014","unstructured":"Zhang J, Au FTK (2014) Calibration of initial cable forces in cable-stayed bridge based on Kriging approach. Finite Elem Anal Des 92:80\u201392","journal-title":"Finite Elem Anal Des"},{"issue":"2","key":"10369_CR34","first-page":"157","volume":"74","author":"J Zhang","year":"2020","unstructured":"Zhang J, Au FTK, Yang D (2020) Finite element model updating of long-span cable-stayed bridge by Kriging surrogate model. Struct Eng Mech 74(2):157\u2013173","journal-title":"Struct Eng Mech"},{"issue":"7","key":"10369_CR35","doi-asserted-by":"publisher","first-page":"1207","DOI":"10.1260\/1369-4332.16.7.1207","volume":"16","author":"SL Zhang","year":"2013","unstructured":"Zhang SL, Chen SF, Wang HD, Wang W, Chen ZX (2013) Model updating with a neural network method based on uniform design. Adv Struct Eng 16(7):1207\u20131221","journal-title":"Adv Struct Eng"},{"issue":"2","key":"10369_CR36","doi-asserted-by":"publisher","first-page":"242","DOI":"10.1080\/13632469.2017.1323040","volume":"23","author":"YY Zhang","year":"2019","unstructured":"Zhang YY, Wu G (2019) Seismic vulnerability analysis of RC bridges based on Kriging model. J Earthquake Eng 23(2):242\u2013260","journal-title":"J Earthquake Eng"},{"issue":"9","key":"10369_CR37","doi-asserted-by":"publisher","first-page":"2034","DOI":"10.2514\/1.J051017","volume":"49","author":"L Zhao","year":"2011","unstructured":"Zhao L, Choi KK, Lee I (2011) Metamodeling method using dynamic Kriging for design optimization. AIAA J 49(9):2034\u20132046","journal-title":"AIAA J"},{"key":"10369_CR38","doi-asserted-by":"publisher","DOI":"10.1016\/j.compgeo.2020.103966","volume":"132","author":"Z Zhou","year":"2021","unstructured":"Zhou Z, Li DQ, Xiao T, Cao ZJ, Du WQ (2021) Response surface guided adaptive slope reliability analysis in spatially varying soils. Comput Geotech 132:103966","journal-title":"Comput Geotech"}],"container-title":["Artificial Intelligence Review"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s10462-022-10369-0.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s10462-022-10369-0\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s10462-022-10369-0.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,10,10]],"date-time":"2024-10-10T14:54:53Z","timestamp":1728572093000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s10462-022-10369-0"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,12,16]]},"references-count":38,"journal-issue":{"issue":"8","published-print":{"date-parts":[[2023,8]]}},"alternative-id":["10369"],"URL":"https:\/\/doi.org\/10.1007\/s10462-022-10369-0","relation":{},"ISSN":["0269-2821","1573-7462"],"issn-type":[{"type":"print","value":"0269-2821"},{"type":"electronic","value":"1573-7462"}],"subject":[],"published":{"date-parts":[[2022,12,16]]},"assertion":[{"value":"16 December 2022","order":1,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}}]}}