{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,26]],"date-time":"2025-03-26T18:49:53Z","timestamp":1743014993217,"version":"3.40.3"},"publisher-location":"Cham","reference-count":24,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783031202407"},{"type":"electronic","value":"9783031202414"}],"license":[{"start":{"date-parts":[[2022,11,20]],"date-time":"2022-11-20T00:00:00Z","timestamp":1668902400000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"},{"start":{"date-parts":[[2022,11,20]],"date-time":"2022-11-20T00:00:00Z","timestamp":1668902400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2023]]},"DOI":"10.1007\/978-3-031-20241-4_4","type":"book-chapter","created":{"date-parts":[[2022,11,19]],"date-time":"2022-11-19T18:03:00Z","timestamp":1668880980000},"page":"47-61","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Neural Network-Based Model to Predict Permanent Deformation Induced in the Subgrade by the Passage of the Trains"],"prefix":"10.1007","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-8381-0126","authenticated-orcid":false,"given":"Ana","family":"Ramos","sequence":"first","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0103-2579","authenticated-orcid":false,"given":"Ant\u00f3nio","family":"Gomes Correia","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0002-2375-7685","authenticated-orcid":false,"given":"Rui","family":"Cal\u00e7ada","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2022,11,20]]},"reference":[{"key":"4_CR1","doi-asserted-by":"publisher","first-page":"441","DOI":"10.1016\/j.jsv.2017.10.005","volume":"412","author":"JCO Nielsen","year":"2018","unstructured":"Nielsen, J.C.O., Li, X.: Railway track geometry degradation due to differential settlement of ballast\/subgrade \u2013 numerical prediction by an iterative procedure. J. Sound Vib. 412, 441\u2013456 (2018)","journal-title":"J. Sound Vib."},{"key":"4_CR2","doi-asserted-by":"crossref","unstructured":"Sadri, M., Lu, T., Zoeteman, A., Steenbergen, M.: Railway track design & degradation. In: MATEC Web of Conferences, Lisbon, Portugal (2018)","DOI":"10.1051\/matecconf\/201821111006"},{"key":"4_CR3","doi-asserted-by":"publisher","first-page":"15","DOI":"10.1155\/2017\/6241479","volume":"2017","author":"X Ling","year":"2017","unstructured":"Ling, X., Li, P., Zhang, F., Zhao, Y., Li, Y., An, L.: Permanent deformation characteristics of coarse grained subgrade soils under train-induced repeated load. Adv. Mater. Sci. Eng. 2017, 15 (2017)","journal-title":"Adv. Mater. Sci. Eng."},{"issue":"3","key":"4_CR4","doi-asserted-by":"publisher","first-page":"298","DOI":"10.1080\/23248378.2021.1922317","volume":"10","author":"A Ramos","year":"2021","unstructured":"Ramos, A., Gomes Correia, A., Cal\u00e7ada, R., Alves Costa, P.: Stress and permanent deformation amplification factors in subgrade induced by dynamic mechanisms in track structures. Int. J. Rail Transport. 10(3), 298\u2013330 (2021). https:\/\/doi.org\/10.1080\/23248378.2021.1922317","journal-title":"Int. J. Rail Transport."},{"key":"4_CR5","doi-asserted-by":"publisher","DOI":"10.1016\/j.trgeo.2020.100358","volume":"24","author":"S Hanandeh","year":"2020","unstructured":"Hanandeh, S., Ardah, A., Abu-Farsakh, M.: Using artificial neural network and genetics algorithm to estimate the resilient modulus for stabilized subgrade and propose new empirical formula. Transport. Geotech. 24, 100358 (2020)","journal-title":"Transport. Geotech."},{"key":"4_CR6","doi-asserted-by":"publisher","first-page":"78","DOI":"10.3390\/infrastructures6060078","volume":"6","author":"S Pahno","year":"2021","unstructured":"Pahno, S., Yang, J., Kim, S.: Use of machine learning algorithms to predict subgrade resilient modulus. Infrastructures 6, 78 (2021)","journal-title":"Infrastructures"},{"issue":"11","key":"4_CR7","doi-asserted-by":"publisher","first-page":"1317","DOI":"10.1002\/nme.208","volume":"51","author":"Y Yang","year":"2001","unstructured":"Yang, Y., Hung, H.: A 2.5D finite\/infinite element approach for modelling visco-elastic body subjected to moving loads. Int. J. Numer. Meth. Eng. 51(11), 1317\u20131336 (2001)","journal-title":"Int. J. Numer. Meth. Eng."},{"issue":"3\u20135","key":"4_CR8","doi-asserted-by":"publisher","first-page":"575","DOI":"10.1016\/j.jsv.2005.08.040","volume":"293","author":"X Sheng","year":"2006","unstructured":"Sheng, X., Jones, C.J.C., Thompson, D.J.: Prediction of ground vibration from trains using the wavenumber finite and boundary element methods. J. Sound Vib. 293(3\u20135), 575\u2013586 (2006)","journal-title":"J. Sound Vib."},{"issue":"4","key":"4_CR9","doi-asserted-by":"publisher","first-page":"221","DOI":"10.1016\/j.soildyn.2009.11.002","volume":"30","author":"P Alves Costa","year":"2010","unstructured":"Alves Costa, P., Cal\u00e7ada, R., Silva Cardoso, A., Bodare, A.: Influence of soil non-linearity on the dynamic response of high-speed railway tracks. Soil Dyn. Earthq. Eng. 30(4), 221\u2013235 (2010)","journal-title":"Soil Dyn. Earthq. Eng."},{"key":"4_CR10","doi-asserted-by":"publisher","first-page":"269","DOI":"10.1016\/j.soildyn.2014.02.013","volume":"61\u201362","author":"P Lopes","year":"2014","unstructured":"Lopes, P., Alves Costa, P., Ferraz, M., Cal\u00e7ada, R., Silva Cardoso, A.: Numerical modeling of vibrations induced by railway traffic in tunnels: from the source to the nearby buildings. Soil Dyn. Earthquake Eng. 61\u201362, 269\u2013285 (2014)","journal-title":"Soil Dyn. Earthquake Eng."},{"issue":"1","key":"4_CR11","doi-asserted-by":"publisher","first-page":"111","DOI":"10.1016\/j.soildyn.2011.09.002","volume":"32","author":"P Alves Costa","year":"2012","unstructured":"Alves Costa, P., Cal\u00e7ada, R., Silva Cardoso, A.: Track\u2013ground vibrations induced by railway traffic: in-situ measurements and validation of a 2.5D FEM-BEM model. Soil Dyn. Earthquake Eng. 32(1), 111\u2013128 (2012). https:\/\/doi.org\/10.1016\/j.soildyn.2011.09.002","journal-title":"Soil Dyn. Earthquake Eng."},{"key":"4_CR12","doi-asserted-by":"publisher","DOI":"10.1016\/j.trgeo.2020.100326","volume":"23","author":"A Ramos","year":"2020","unstructured":"Ramos, A., Gomes Correia, A., Indraratna, B., Ngo, T., Cal\u00e7ada, R., Costa, P.A.: Mechanistic-empirical permanent deformation models: laboratory testing, modelling and ranking. Transport. Geotechn. 23, 100326 (2020)","journal-title":"Transport. Geotechn."},{"issue":"4","key":"4_CR13","doi-asserted-by":"publisher","first-page":"205","DOI":"10.1080\/23248378.2014.959083","volume":"2","author":"R Chen","year":"2014","unstructured":"Chen, R., Chen, J., Zhao, X., Bian, X., Chen, Y.: Cumulative settlement of track subgrade in high-speed railway under varying water levels. Int. J. Rail Transport. 2(4), 205\u2013220 (2014)","journal-title":"Int. J. Rail Transport."},{"issue":"3","key":"4_CR14","doi-asserted-by":"publisher","first-page":"236","DOI":"10.1080\/10298436.2015.1065991","volume":"18","author":"F Salour","year":"2015","unstructured":"Salour, F., Erlingsson, S.: Permanent deformation characteristics of silty sand subgrades from multistage RLT tests. Int. J. Pavement Eng. 18(3), 236\u2013246 (2015)","journal-title":"Int. J. Pavement Eng."},{"key":"4_CR15","unstructured":"EN13848-5: Railway Applications \u2013 Track \u2013 Track geometry quality \u2013 Part 5: Geometric quality levels. European Committee for Standardization (CEN), Brussels, Belgium (2008)"},{"key":"4_CR16","unstructured":"Ramos, A.L., Correia, A.G., Cal\u00e7ada, R., Costa, P.A.: Influence of permanent deformations of substructure on ballasted and ballastless tracks performance. In: Proceedings of 7th Transport Research Arena TRA, Vienna, Austria (2018)"},{"key":"4_CR17","doi-asserted-by":"publisher","first-page":"81","DOI":"10.1016\/j.trgeo.2017.08.011","volume":"13","author":"A Rezaei-Tarahomi","year":"2017","unstructured":"Rezaei-Tarahomi, A., Kaya, O., Ceylan, H., Kim, S., Gopalakrishnan, K., Brill, D.R.: Development of rapid three-dimensional finite-element based rigid airfield pavement foundation response and moduli prediction models. Transport. Geotech. 13, 81\u201391 (2017)","journal-title":"Transport. Geotech."},{"key":"4_CR18","doi-asserted-by":"publisher","DOI":"10.1016\/j.trgeo.2020.100481","volume":"27","author":"B Ghorbani","year":"2021","unstructured":"Ghorbani, B., Arulrajah, A., Narsilio, G., Horpibulsuk, S., Bo, M.W.: Shakedown analysis of PET blends with demolition waste as pavement base\/subbase materials using experimental and neural network methods. Transport. Geotech. 27, 100481 (2021)","journal-title":"Transport. Geotech."},{"key":"4_CR19","series-title":"Sustainable Civil Infrastructures","doi-asserted-by":"publisher","first-page":"105","DOI":"10.1007\/978-3-030-02032-3_10","volume-title":"Recent Research on Engineering Geology and Geological Engineering","author":"J Tinoco","year":"2019","unstructured":"Tinoco, J., Correia, A.G., Cortez, P., Toll, D.: Artificial neural networks for rock and soil cutting slopes stability condition prediction. In: Wasowski, J., Dijkstra, T. (eds.) GeoMEast 2018. SCI, pp. 105\u2013114. Springer, Cham (2019). https:\/\/doi.org\/10.1007\/978-3-030-02032-3_10"},{"key":"4_CR20","doi-asserted-by":"publisher","first-page":"132","DOI":"10.1016\/j.compgeo.2013.08.010","volume":"55","author":"J Tinoco","year":"2014","unstructured":"Tinoco, J., Gomes Correia, A., Cortez, P.: Support vector machines applied to uniaxial compressive strength prediction of jet grouting columns. Comput. Geotech. 55, 132\u2013140 (2014)","journal-title":"Comput. Geotech."},{"issue":"3","key":"4_CR21","doi-asserted-by":"publisher","first-page":"338","DOI":"10.1080\/19648189.2016.1194329","volume":"22","author":"J Tinoco","year":"2018","unstructured":"Tinoco, J., Gomes Correia, A., Cortez, P.: Jet grouting column diameter prediction based on a data-driven approach. Eur. J. Environ. Civ. Eng. 22(3), 338\u2013358 (2018)","journal-title":"Eur. J. Environ. Civ. Eng."},{"key":"4_CR22","doi-asserted-by":"publisher","DOI":"10.1016\/j.conbuildmat.2021.122245","volume":"277","author":"A Ramos","year":"2021","unstructured":"Ramos, A., et al.: Influence of track foundation on the performance of ballast and concrete slab tracks under cyclic loading: physical modelling and numerical model calibration. Constr. Build. Mater. 277, 122245 (2021)","journal-title":"Constr. Build. Mater."},{"issue":"4","key":"4_CR23","first-page":"46","volume":"6","author":"GD Garson","year":"1991","unstructured":"Garson, G.D.: Interpreting neural network connection weights. Artif. Intell. Expert 6(4), 46\u201351 (1991)","journal-title":"Artif. Intell. Expert"},{"issue":"3","key":"4_CR24","doi-asserted-by":"publisher","first-page":"389","DOI":"10.1016\/j.ecolmodel.2004.03.013","volume":"178","author":"JD Olden","year":"2004","unstructured":"Olden, J.D., Joy, M.K., Death, R.G.: An accurate comparison of methods for quantifying variable importance in artificial neural networks using simulated data. Ecol. Model. 178(3), 389\u2013397 (2004)","journal-title":"Ecol. Model."}],"container-title":["Lecture Notes in Civil Engineering","Trends on Construction in the Digital Era"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-031-20241-4_4","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,11,19]],"date-time":"2022-11-19T18:04:04Z","timestamp":1668881044000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-031-20241-4_4"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,11,20]]},"ISBN":["9783031202407","9783031202414"],"references-count":24,"URL":"https:\/\/doi.org\/10.1007\/978-3-031-20241-4_4","relation":{},"ISSN":["2366-2557","2366-2565"],"issn-type":[{"type":"print","value":"2366-2557"},{"type":"electronic","value":"2366-2565"}],"subject":[],"published":{"date-parts":[[2022,11,20]]},"assertion":[{"value":"20 November 2022","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"ISIC","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Trends on Construction in the Post-Digital Era","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Guimar\u00e3es","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Portugal","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2022","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"7 September 2022","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"9 September 2022","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"3","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"isic12022","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}