[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"doc-detail-36532-en":3,"doc-seo-36532-105":29,"detail-sidebar-cat-0-en-105":90},{"code":4,"msg":5,"data":6},0,"success",{"doc_id":7,"user_id":8,"nickname":9,"user_avatar":10,"doc_module":4,"category_id":11,"category_name":12,"doc_title":13,"doc_description":14,"doc_content":15,"file_id":16,"file_url":17,"file_type":18,"file_size":19,"view_count":20,"is_deleted":4,"is_public":20,"is_downloadable":20,"audit_status":20,"page_count":21,"language":22,"language_code":23,"site_id":24,"html_lang":23,"table_of_contents":25,"faqs":26,"seo_title":13,"seo_description":14,"update_tm":27,"read_time":28},36532,1099513958607,"Jiven","https://ap-avatar.wpscdn.com/avatar/100002390cf8733938c?x-image-process=image/resize,m_fixed,w_180,h_180&k=1778829742770036399",8,"Research & Report","Integration of Information Technology into Geotechnical Engineering Practice: Concept and Development","Information Technology (IT) supports predicting, visualizing, and analyzing physical parameters to accelerate routine geotechnical design workflows. The paper proposes an integrated approach combining IT with numerical analysis: calibrated finite element models are used to develop ANN(s) for prediction, and the resulting ANN(s) are implemented in a GIS platform for spatial visualization and analysis. The method reduces time and effort for multiple design scenarios and introduces an ANN-based knowledge system for underground excavation design, with practical implications discussed in detail.","","cbCaibzTNbf7u2Fq","https://ap.wps.com/l/cbCaibzTNbf7u2Fq","pdf",1582384,1,14,"English","en",105,"# Introduction\n## Practical Use of IT in Geotechnical Engineering\n### GIS-Based Decision Making System","[{\"question\":\"How does the proposed approach integrate IT with numerical analysis in routine geotechnical design?\",\"answer\":\"It develops ANN(s) using calibrated finite element model(s) as prediction tools, then implements the ANN(s) in a GIS platform to visualize and analyze the spatial distribution of predicted results.\"},{\"question\":\"Why can the GIS/ANN workflow speed up geotechnical design work?\",\"answer\":\"By using ANN-based prediction and GIS visualization, the process avoids repeating time- and effort-intensive numerical analyses for multiple design scenarios.\"},{\"question\":\"What knowledge-based system is introduced for underground excavation design?\",\"answer\":\"A knowledge-based underground excavation design system that uses artificial neural networks (ANNs) as prediction tools is presented, and its practical implications are 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