{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,3]],"date-time":"2026-07-03T19:17:29Z","timestamp":1783106249861,"version":"3.54.6"},"reference-count":38,"publisher":"Elsevier BV","license":[{"start":{"date-parts":[[2026,9,1]],"date-time":"2026-09-01T00:00:00Z","timestamp":1788220800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/tdm\/userlicense\/1.0\/"},{"start":{"date-parts":[[2026,9,1]],"date-time":"2026-09-01T00:00:00Z","timestamp":1788220800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/legal\/tdmrep-license"},{"start":{"date-parts":[[2026,9,1]],"date-time":"2026-09-01T00:00:00Z","timestamp":1788220800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-017"},{"start":{"date-parts":[[2026,9,1]],"date-time":"2026-09-01T00:00:00Z","timestamp":1788220800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"},{"start":{"date-parts":[[2026,9,1]],"date-time":"2026-09-01T00:00:00Z","timestamp":1788220800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-012"},{"start":{"date-parts":[[2026,9,1]],"date-time":"2026-09-01T00:00:00Z","timestamp":1788220800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2026,9,1]],"date-time":"2026-09-01T00:00:00Z","timestamp":1788220800000},"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":["52309162"],"award-info":[{"award-number":["52309162"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100018542","name":"Natural Science Foundation of Sichuan Province","doi-asserted-by":"publisher","award":["2025ZNSFSC0414"],"award-info":[{"award-number":["2025ZNSFSC0414"]}],"id":[{"id":"10.13039\/501100018542","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["elsevier.com","sciencedirect.com"],"crossmark-restriction":true},"short-container-title":["Advanced Engineering Informatics"],"published-print":{"date-parts":[[2026,9]]},"DOI":"10.1016\/j.aei.2026.104820","type":"journal-article","created":{"date-parts":[[2026,5,21]],"date-time":"2026-05-21T09:22:49Z","timestamp":1779355369000},"page":"104820","update-policy":"https:\/\/doi.org\/10.1016\/elsevier_cm_policy","source":"Crossref","is-referenced-by-count":1,"special_numbering":"PD","title":["Data-driven and mechanism-based comprehensive assessment method for the structural safety of high core rockfill dams: A transformation from qualitative analysis to quantitative evaluation"],"prefix":"10.1016","volume":"74","author":[{"given":"Jingdan","family":"Zhang","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Xiang","family":"Lu","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Huibao","family":"Huang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Hongwei","family":"Liu","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Chen","family":"Chen","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Zefa","family":"Li","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"78","reference":[{"key":"10.1016\/j.aei.2026.104820_b0005","doi-asserted-by":"crossref","first-page":"444","DOI":"10.3390\/s20020444","article-title":"External deformation monitoring and improved partial least squares data analysis methods of high core rock-fill dam (HCRFD)","volume":"20","author":"Cheng","year":"2020","journal-title":"Sensors"},{"key":"10.1016\/j.aei.2026.104820_b0010","doi-asserted-by":"crossref","first-page":"1834","DOI":"10.1360\/SST-2021-0351","article-title":"Experimental study on mechanical properties of core wall gravel soil of 300-m super high rockfill dam","volume":"53","author":"Meng","year":"2023","journal-title":"Sci. Sin. Technol."},{"key":"10.1016\/j.aei.2026.104820_b0015","doi-asserted-by":"crossref","first-page":"2749","DOI":"10.3390\/s18092749","article-title":"Research on a seepage monitoring model of a high core Rockfill dam based on machine learning","volume":"18","author":"Cheng","year":"2018","journal-title":"Sensors"},{"key":"10.1016\/j.aei.2026.104820_b0020","doi-asserted-by":"crossref","DOI":"10.1139\/cgj-2024-0223","article-title":"Elastic\u2013plastic\u2013creep behavior of high rockfill dams: A case study on Lianghekou CRFD","volume":"62","author":"Jiang","year":"2025","journal-title":"Can. Geotech. J."},{"key":"10.1016\/j.aei.2026.104820_b0025","doi-asserted-by":"crossref","DOI":"10.1016\/j.aei.2024.102642","article-title":"A novel method for settlement imputation and monitoring of earth-rockfill dams subjected to large-scale missing data","volume":"62","author":"Xu","year":"2024","journal-title":"Adv. Eng. Inform."},{"key":"10.1016\/j.aei.2026.104820_b0030","doi-asserted-by":"crossref","first-page":"145","DOI":"10.1016\/j.istruc.2022.09.020","article-title":"Parameter identification of unsaturated seepage model of core rockfill dams using principal component analysis and multi-objective optimization","volume":"45","author":"Xu","year":"2022","journal-title":"Structures"},{"key":"10.1016\/j.aei.2026.104820_b0035","doi-asserted-by":"crossref","DOI":"10.1016\/j.aei.2023.102345","article-title":"AF-OS-ELM-MVE: A new online sequential extreme learning machine of dam safety monitoring model for structure deformation estimation","volume":"60","author":"Zhang","year":"2024","journal-title":"Adv. Eng. Inform."},{"key":"10.1016\/j.aei.2026.104820_b0040","doi-asserted-by":"crossref","DOI":"10.1016\/j.aei.2021.101510","article-title":"DRLSTM: A dual-stage deep learning approach driven by raw monitoring data for dam displacement prediction","volume":"51","author":"Li","year":"2022","journal-title":"Adv. Eng. Inform."},{"key":"10.1016\/j.aei.2026.104820_b0045","doi-asserted-by":"crossref","first-page":"796","DOI":"10.1177\/1475921719864265","article-title":"An online anomaly recognition and early warning model for dam safety monitoring data","volume":"19","author":"Li","year":"2020","journal-title":"Struct. Health Monit."},{"key":"10.1016\/j.aei.2026.104820_b0050","doi-asserted-by":"crossref","first-page":"2451","DOI":"10.1007\/s00603-018-1435-z","article-title":"Dam safety evaluation based on multiple linear regression and numerical simulation","volume":"51","author":"Yu","year":"2018","journal-title":"Rock Mech. Rock Eng."},{"key":"10.1016\/j.aei.2026.104820_b0055","doi-asserted-by":"crossref","DOI":"10.1016\/j.aei.2023.101881","article-title":"Towards online monitoring of concrete dam displacement subject to time-varying environments: An improved sequential learning approach","volume":"55","author":"Ren","year":"2023","journal-title":"Adv. Eng. Inform."},{"key":"10.1016\/j.aei.2026.104820_b0060","doi-asserted-by":"crossref","unstructured":"H. Li, X. Duan, Construction of Smart Water Conservancy System Based on Digital Twin Technology, in: 7th Int. Conf. Comput. Inf. Sci. Appl. Technol. CISAT 2024 July 12 2024 - July 14 2024, Institute of Electrical and Electronics Engineers Inc., Hangzhou, China, 2024: pp. 693\u2013700. https:\/\/doi.org\/10.1109\/CISAT62382.2024.10695333.","DOI":"10.1109\/CISAT62382.2024.10695333"},{"key":"10.1016\/j.aei.2026.104820_b0065","doi-asserted-by":"crossref","DOI":"10.1016\/j.eswa.2025.126740","article-title":"A visualization system for dam safety monitoring with application of digital twin platform","volume":"271","author":"Shao","year":"2025","journal-title":"Expert Syst. Appl."},{"key":"10.1016\/j.aei.2026.104820_b0070","doi-asserted-by":"crossref","first-page":"2017","DOI":"10.1007\/s13349-025-00925-x","article-title":"A deep learning approach driven by raw monitoring data for earth\/rockfill dam seepage prediction and safety assessment","volume":"15","author":"Ren","year":"2025","journal-title":"J. Civ. Struct. Health Monit."},{"key":"10.1016\/j.aei.2026.104820_b0075","doi-asserted-by":"crossref","first-page":"581","DOI":"10.1177\/14759217221102060","article-title":"An efficient online outlier recognition method of dam monitoring data based on improved M-robust regression","volume":"22","author":"Han","year":"2023","journal-title":"Struct. Health Monit."},{"key":"10.1016\/j.aei.2026.104820_b0080","doi-asserted-by":"crossref","first-page":"770","DOI":"10.1177\/14759217211009780","article-title":"A new dam structural response estimation paradigm powered by deep learning and transfer learning techniques","volume":"21","author":"Li","year":"2022","journal-title":"Struct. Health Monit."},{"key":"10.1016\/j.aei.2026.104820_b0085","doi-asserted-by":"crossref","first-page":"639","DOI":"10.1177\/1475921716654963","article-title":"Dam safety prediction model considering chaotic characteristics in prototype monitoring data series","volume":"15","author":"Su","year":"2016","journal-title":"Struct. Health Monit."},{"key":"10.1016\/j.aei.2026.104820_b0090","doi-asserted-by":"crossref","first-page":"412","DOI":"10.1016\/j.ymssp.2018.03.022","article-title":"Wavelet support vector machine-based prediction model of dam deformation","volume":"110","author":"Su","year":"2018","journal-title":"Mech. Syst. Signal Process."},{"key":"10.1016\/j.aei.2026.104820_b0095","doi-asserted-by":"crossref","first-page":"e1997","DOI":"10.1002\/stc.1997","article-title":"Concrete dam deformation prediction model for health monitoring based on extreme learning machine","volume":"24","author":"Kang","year":"2017","journal-title":"Struct. Control Health Monit."},{"key":"10.1016\/j.aei.2026.104820_b0100","doi-asserted-by":"crossref","DOI":"10.1016\/j.engstruct.2023.115686","article-title":"Displacement prediction model for high arch dams using long short-term memory based encoder-decoder with dual-stage attention considering measured dam temperature","volume":"280","author":"Huang","year":"2023","journal-title":"Eng. Struct."},{"key":"10.1016\/j.aei.2026.104820_b0105","doi-asserted-by":"crossref","DOI":"10.1155\/2023\/2189912","article-title":"MLA-TCN: Multioutput prediction of dam displacement based on temporal convolutional network with attention mechanism","volume":"2023","author":"Wang","year":"2023","journal-title":"Struct. Control Health Monit."},{"key":"10.1016\/j.aei.2026.104820_b0110","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1155\/2023\/4101604","article-title":"The use of shape accel array for deformation monitoring and parameter inversion of a 300 m ultrahigh Rockfill dam","volume":"2023","author":"Ai","year":"2023","journal-title":"Struct. Control Health Monit."},{"key":"10.1016\/j.aei.2026.104820_b0115","doi-asserted-by":"crossref","DOI":"10.1016\/j.jhydrol.2023.129171","article-title":"Multi-source data-driven unsaturated seepage parameter inversion: Application to a high core rockfill dam","volume":"617","author":"Li","year":"2023","journal-title":"J. Hydrol."},{"key":"10.1016\/j.aei.2026.104820_b0120","doi-asserted-by":"crossref","DOI":"10.1016\/j.enggeo.2025.108043","article-title":"Creep parameter inversion and long-term deformation prediction of a near-dam slope considering spatio-temporal deformation data during construction and impoundment period","volume":"351","author":"Liu","year":"2025","journal-title":"Eng. Geol."},{"key":"10.1016\/j.aei.2026.104820_b0125","doi-asserted-by":"crossref","DOI":"10.1016\/j.istruc.2024.107066","article-title":"A novel finite element limit equilibrium method and its application in instability analysis for 3-D high core rockfill dams","volume":"68","author":"Xu","year":"2024","journal-title":"Structures"},{"key":"10.1016\/j.aei.2026.104820_b0130","doi-asserted-by":"crossref","DOI":"10.1016\/j.compgeo.2025.107595","article-title":"Intelligent inversion analysis of seepage parameters for deep overburden dam foundations based on an improved grey wolf optimization algorithm","volume":"188","author":"Yin","year":"2025","journal-title":"Comput. Geotech."},{"key":"10.1016\/j.aei.2026.104820_b0135","doi-asserted-by":"crossref","DOI":"10.1016\/j.aei.2023.102016","article-title":"Dynamic material parameter inversion of high arch dam under discharge excitation based on the modal parameters and Bayesian optimised deep learning","volume":"56","author":"Liu","year":"2023","journal-title":"Adv. Eng. Inform."},{"key":"10.1016\/j.aei.2026.104820_b0140","doi-asserted-by":"crossref","DOI":"10.1016\/j.compgeo.2025.107595","article-title":"Intelligent inversion analysis of seepage parameters for deep overburden dam foundations based on an improved grey wolf optimization algorithm","volume":"188","author":"Yin","year":"2025","journal-title":"Comput. Geotech."},{"key":"10.1016\/j.aei.2026.104820_b0145","article-title":"Joint inverse analysis for instantaneous and creep deformation parameters of high rockfill dams based on surrogate models and improved multi-objective intelligent algorithm","volume":"277","author":"Ao Yu","year":"2025","journal-title":"Expert Syst. Appl."},{"key":"10.1016\/j.aei.2026.104820_b0150","doi-asserted-by":"crossref","first-page":"642","DOI":"10.1016\/j.engstruct.2018.11.065","article-title":"Structural health monitoring of concrete dams using long-term air temperature for thermal effect simulation","volume":"180","author":"Kang","year":"2019","journal-title":"Eng. Struct."},{"key":"10.1016\/j.aei.2026.104820_b0155","first-page":"18","article-title":"Back-analysis of instantaneous and rheological deformation parameters for concrete faced rockfill dams","volume":"47","author":"Chi","year":"2016","journal-title":"Journal Hydraul. Eng."},{"key":"10.1016\/j.aei.2026.104820_b0160","first-page":"873","article-title":"The sensitivity analysis of Duncan-Chang E-B model parameters based on the orthogonal test method","volume":"44","author":"Li","year":"2013","journal-title":"Journal Hydraul. Eng."},{"key":"10.1016\/j.aei.2026.104820_b0165","first-page":"245","article-title":"The sensitivity analysis of seven-parameter rockfill rheological model based on the orthogonal test method","volume":"47","author":"Wang","year":"2016","journal-title":"Journal Hydraul. Eng."},{"key":"10.1016\/j.aei.2026.104820_b0170","doi-asserted-by":"crossref","first-page":"196","DOI":"10.1016\/j.wse.2019.09.004","article-title":"Long-term deformation analysis of Shuibuya concrete face rockfill dam based on response surface method and improved genetic algorithm","volume":"12","author":"Yao","year":"2019","journal-title":"Water Sci. Eng."},{"key":"10.1016\/j.aei.2026.104820_b0175","doi-asserted-by":"crossref","DOI":"10.3390\/ma17194940","article-title":"Experimental study on proportion optimization of rock-like materials based on genetic algorithm inversion","volume":"17","author":"Su","year":"2024","journal-title":"Materials"},{"key":"10.1016\/j.aei.2026.104820_b0180","doi-asserted-by":"crossref","first-page":"763","DOI":"10.1177\/14759217241295989","article-title":"Online intelligent perception, detection, and application of safety monitoring data: taking the right bank slope of PB Dam as an example","volume":"25","author":"Li","year":"2026","journal-title":"Struct. Health Monit."},{"key":"10.1016\/j.aei.2026.104820_b0185","doi-asserted-by":"crossref","first-page":"132","DOI":"10.1016\/j.compgeo.2016.01.001","article-title":"Response surface and genetic method of deformation back analysis for high core rockfill dams","volume":"74","author":"Guo","year":"2016","journal-title":"Comput. Geotech."},{"key":"10.1016\/j.aei.2026.104820_b0190","doi-asserted-by":"crossref","unstructured":"Z. Xu, G. Deng, H. Li, Research on creep deformation of rockfill material and post-construction deformation of rockfill dam, in: Proc. 17th Int. Conf. Soil Mech. Geotech. Eng., IOS Press, 2009. https:\/\/doi.org\/10.3233\/978-1-60750-031-5-684.","DOI":"10.3233\/978-1-60750-031-5-684"}],"container-title":["Advanced Engineering Informatics"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S1474034626005124?httpAccept=text\/xml","content-type":"text\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S1474034626005124?httpAccept=text\/plain","content-type":"text\/plain","content-version":"vor","intended-application":"text-mining"}],"deposited":{"date-parts":[[2026,7,3]],"date-time":"2026-07-03T18:36:19Z","timestamp":1783103779000},"score":1,"resource":{"primary":{"URL":"https:\/\/linkinghub.elsevier.com\/retrieve\/pii\/S1474034626005124"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026,9]]},"references-count":38,"alternative-id":["S1474034626005124"],"URL":"https:\/\/doi.org\/10.1016\/j.aei.2026.104820","relation":{},"ISSN":["1474-0346"],"issn-type":[{"value":"1474-0346","type":"print"}],"subject":[],"published":{"date-parts":[[2026,9]]},"assertion":[{"value":"Elsevier","name":"publisher","label":"This article is maintained by"},{"value":"Data-driven and mechanism-based comprehensive assessment method for the structural safety of high core rockfill dams: A transformation from qualitative analysis to quantitative evaluation","name":"articletitle","label":"Article Title"},{"value":"Advanced Engineering Informatics","name":"journaltitle","label":"Journal Title"},{"value":"https:\/\/doi.org\/10.1016\/j.aei.2026.104820","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":"104820"}}