{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,15]],"date-time":"2026-06-15T15:18:37Z","timestamp":1781536717401,"version":"3.54.5"},"reference-count":34,"publisher":"MDPI AG","issue":"3","license":[{"start":{"date-parts":[[2026,3,12]],"date-time":"2026-03-12T00:00:00Z","timestamp":1773273600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["52509143"],"award-info":[{"award-number":["52509143"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100003995","name":"Anhui Provincial Natural Science Foundation","doi-asserted-by":"publisher","award":["2408085QE154"],"award-info":[{"award-number":["2408085QE154"]}],"id":[{"id":"10.13039\/501100003995","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Open Fund Research at the State Key Laboratory of Hydraulics and Mountain River Engineering","award":["SKHL2421"],"award-info":[{"award-number":["SKHL2421"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["BDCC"],"abstract":"<jats:p>Slope instability can cause severe disasters, making stability prediction essential. Machine learning has become a key tool for this purpose, as it avoids complex mechanical calculations and efficiently handles high-dimensional data. Currently, the data used in machine learning primarily originate from real-world cases. However, such cases are inherently limited in quantity and often fail to comprehensively represent all potential slope conditions. To address these limitations, this study proposes a method for constructing numerical simulation databases. Based on this, we develop a model establishment method for rapid evaluation of slope stability integrating numerical simulation with engineering cases. This study uses six characteristic parameters to assess slope stability, including unit weight \u03b3, cohesion c, internal friction angle \u03c6, slope angle \u03b1, slope height H, and pore pressure ratio ru. Through extensive literature mining, we established a database of 684 engineering cases. Based on statistical analysis of input parameters, a numerical simulation scheme was designed. Batch calculations were performed using MATLAB to determine simulation results. The engineering case database was then partitioned into training and testing sets for model development and validation. Subsequently, the numerical simulation database was incorporated into the training set for retesting. Results demonstrate that when considering all predictive indicators, the prediction accuracy of the GRNN-based model improved from 85% to 88.3%, while the PNN-based model showed an increase from 69% to 88.3%. This study offers new insights for optimizing numerical simulation design and enhancing machine learning performance in slope stability prediction.<\/jats:p>","DOI":"10.3390\/bdcc10030087","type":"journal-article","created":{"date-parts":[[2026,3,12]],"date-time":"2026-03-12T14:46:31Z","timestamp":1773326791000},"page":"87","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["An Intelligent Evaluation Method for Slope Stability Based on a Database Integrating Real Cases and Numerical Simulations"],"prefix":"10.3390","volume":"10","author":[{"given":"Junyi","family":"Jiang","sequence":"first","affiliation":[{"name":"Shandong Electric Power Engineering Consulting Institute Corp., Ltd., Jinan 250013, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Dong","family":"Li","sequence":"additional","affiliation":[{"name":"Shandong Electric Power Engineering Consulting Institute Corp., Ltd., Jinan 250013, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Qingyi","family":"Yang","sequence":"additional","affiliation":[{"name":"Shandong Electric Power Engineering Consulting Institute Corp., Ltd., Jinan 250013, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Zhenhua","family":"Zhang","sequence":"additional","affiliation":[{"name":"School of Civil Engineering, Hefei University of Technology, Hefei 230009, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Lei","family":"Wang","sequence":"additional","affiliation":[{"name":"School of Civil Engineering, Hefei University of Technology, Hefei 230009, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Wenru","family":"Zhao","sequence":"additional","affiliation":[{"name":"School of Civil Engineering, Hefei University of Technology, Hefei 230009, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0005-9913-9874","authenticated-orcid":false,"given":"Mingliang","family":"Chen","sequence":"additional","affiliation":[{"name":"School of Civil Engineering, Hefei University of Technology, Hefei 230009, China"},{"name":"State Key Laboratory of Hydraulics and Mountain River Engineering, Sichuan University, Chengdu 610065, China"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"1968","published-online":{"date-parts":[[2026,3,12]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"2727","DOI":"10.1007\/s10346-022-01957-w","article-title":"Failure mechanism and evolution of the Jinhaihu landslide in Bijie City, China, on January 3, 2022","volume":"19","author":"Tao","year":"2022","journal-title":"Landslides"},{"key":"ref_2","doi-asserted-by":"crossref","first-page":"1441","DOI":"10.1007\/s10346-020-01374-x","article-title":"Characteristics and causes of the landslide on July 23, 2019 in Shuicheng, Guizhou Province, China","volume":"17","author":"Ma","year":"2020","journal-title":"Landslides"},{"key":"ref_3","first-page":"116","article-title":"Research on the Path of Constructive News of Disaster Report in the Era of Convergence-Media\u2014Taking the Coal Mine Collapse Accident in Alxa Left Banner, Inner Mongolia as an Example","volume":"6","author":"Zhang","year":"2023","journal-title":"Acad. 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