[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"doc-detail-118736-en":3,"doc-seo-118736-105":30,"detail-sidebar-cat-0-en-105":92},{"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":27,"seo_description":14,"update_tm":28,"read_time":29},118736,1099513958762,"Logic","https://ap-avatar.wpscdn.com/avatar/1000023916a998db790?x-image-process=image/resize,m_fixed,w_180,h_180&k=1784791008015729253",8,"Research & Report","Deep machine learning in bridge structures durability analysis - Abstract and application","Deep machine learning supports structural durability assessment for bridges by enabling efficient, non-contact observation of concrete cracks from photographs. In line with Eurocode 0, durability is a core design criterion alongside ultimate and serviceability, and cracks influence long-term performance through width growth and potential corrosion or loss of monolithicity. The work emphasizes limiting crack width to acceptable standards and meeting inspection needs for fast measurements and analysis of large image datasets, enabling prediction of damage development over time and space to support prevention of failures and withdrawal from service.","5th Joint International Symposium on Deformation Monitoring (JISDM), 20-22 June 2022, Valencia, Spain  \nDOI: [http://doi.org/10.4995/JISDM2022.2022.13884](http://doi.org/10.4995/JISDM2022.2022.13884)  \nDeep machine learning in bridge structures durability analysis  \nKarolina Tomaszkiewicz, Tomasz Owerko  \nDepartment of Engineering Surveying and Civil Engineering, Faculty of Geo-Data Science, Geodesy and Environmental Engineering, AGH University of Science and Technology, Mickiewicza 30 Av., 30-059 Krakow, Poland,([tomaszki@agh.edu.pl](tomaszki@agh.edu.pl); [owerko@agh.edu.pl](owerko@agh.edu.pl))  \nKey words: deep machine learning; transfer learning; concrete cracks; bridge structure; durability  \nABSTRACT  \nAccording to Eurocode 0 structural durability is next to ultimate and serviceability one of the basic criteria in the structural design process. This article discusses the subject of concrete cracks observation in bridge structures, as one of the factors determining their durability. The durability of bridge structures is important due to both social, economic aspects and also the defense aspects of countries. Cracking of the reinforced concrete structures is a natural effect in concrete. The aim in the design and construction of structures is not to prevent the formation of cracks, but to limit their width to acceptable values. At the same time, there is a need for structure tests that allow for non-contact, fast measurements and algorithms that allow for efficient analysis of large amounts of measurement data. Deep machine learning algorithms can be used here. They can be used to analyse data which are acquired by means of photogrammetric methods (especially helpful during construction to inventory concealed works) . Moreover, they can also be applied to standard data acquisition methods, consisting in photographing objects damage during works acceptance or periodic inspections. This paper discusses the application of deep machine learning to assess the condition of bridge structures based on photographs of object damage. The use of this method makes it possible to observe the rate and extent of damage development. Consequently, this method makes it possible to predict the development of damage in time and space in order to prevent failures and take structures out of service.  \nI. INTRODUCTION  \nAccording to Eurocode 0, structural durability is oneof the basic criteria in the process of designing buildings, in addition to ultimate and serviceability. It has a significant influence on the adopted structural and material solutions. This paper concentrates on the subject of bridge structures damage observation, the reliability of which is crucial due to social and economic aspects as an element of transport and transit infrastructure. These objects also play an important role due to the aspects of national defense.  \nThe cracks are occurring when the force in a given point in the structure exceeds concrete maximum tensile strength. The phenomenon of cracking in reinforced concrete structures is a natural phenomenon of concrete. The aim in the design and construction of structures is not to prevent the formation of cracks, but to limit their expansion to the values specified in national standards.  \nIdentifying the location of the crack line in a concrete member is an equally important aspect that can give knowledge about the nature of the factor causing the crack in the structure. The progression of the crack overtime must also be considered. Some cracks occurring on the surface of a structure do not increase in dilation over time and remain present on the surface of the structure throughout its life cycle. The conclusion is that not every crack may be a potential threat to the  \ndurability of the structure. However, expert knowledge is needed to clearly and responsibly identify potentially dangerous locations.  \nThe phenomenon of concrete cracking can be caused by many factors, which makes the problem complicated (Zhang, 20","cbCaioQX8dCSxJhz","https://ap.wps.com/l/cbCaioQX8dCSxJhz","pdf",1765395,1,7,"English","en",105,"# Abstract\n## Durability and crack monitoring framework\n## Role of non-contact measurements and image analysis\n## Deep learning for damage assessment and prediction\n# Introduction\n## Durability criteria in Eurocode 0\n## Crack mechanics and relevance to long-term risk\n## Factors affecting cracking across the life cycle","[{\"question\":\"Why is structural durability considered a key design criterion for bridge structures?\",\"answer\":\"Eurocode 0 treats durability as one of the basic criteria, alongside ultimate and serviceability. It strongly influences adopted structural and material solutions.\"},{\"question\":\"What is the main goal regarding crack formation in reinforced concrete bridges?\",\"answer\":\"The aim is not to prevent cracks entirely, but to limit crack width and expansion to values specified by standards, because not every crack threatens durability equally.\"},{\"question\":\"How does deep machine learning improve crack observation and bridge condition assessment?\",\"answer\":\"Deep machine learning enables analysis of large sets of measurement images for non-contact, fast inspection, helping observe the rate and extent of damage development and predict its evolution in time and space to reduce failure risk.\"}]","Deep machine learning in bridge structures durability analysis - Abstract and application | PDF",1785719986,18,{"code":4,"msg":31,"data":32},"ok",{"site_id":24,"language":23,"slug":33,"title":13,"keywords":34,"description":14,"schema_data":35,"social_meta":87,"head_meta":89,"extra_data":91,"updated_unix":28},"deep-machine-learning-in-bridge-structures-durability-analysis-abstract-and-application","",{"@graph":36,"@context":86},[37,54,69],{"@type":38,"itemListElement":39},"BreadcrumbList",[40,44,48,51],{"item":41,"name":42,"@type":43,"position":20},"https://docshare.wps.com","Home","ListItem",{"item":45,"name":46,"@type":43,"position":47},"https://docshare.wps.com/document/","Document",2,{"item":49,"name":12,"@type":43,"position":50},"https://docshare.wps.com/document/research-report/",3,{"item":52,"name":13,"@type":43,"position":53},"https://docshare.wps.com/document/deep-machine-learning-in-bridge-structures-durability-analysis-abstract-and-application/118736/",4,{"url":52,"name":13,"@type":55,"author":56,"headline":13,"publisher":58,"fileFormat":61,"inLanguage":23,"description":14,"dateModified":62,"datePublished":63,"encodingFormat":61,"isAccessibleForFree":64,"interactionStatistic":65},"DigitalDocument",{"name":9,"@type":57},"Person",{"url":41,"name":59,"@type":60},"DocShare","Organization","application/pdf","2026-08-04","2026-08-03",true,{"@type":66,"interactionType":67,"userInteractionCount":20},"InteractionCounter",{"@type":68},"ViewAction",{"@type":70,"mainEntity":71},"FAQPage",[72,78,82],{"name":73,"@type":74,"acceptedAnswer":75},"Why is structural durability considered a key design criterion for bridge structures?","Question",{"text":76,"@type":77},"Eurocode 0 treats durability as one of the basic criteria, alongside ultimate and serviceability. It strongly influences adopted structural and material solutions.","Answer",{"name":79,"@type":74,"acceptedAnswer":80},"What is the main goal regarding crack formation in reinforced concrete bridges?",{"text":81,"@type":77},"The aim is not to prevent cracks entirely, but to limit crack width and expansion to values specified by standards, because not every crack threatens durability equally.",{"name":83,"@type":74,"acceptedAnswer":84},"How does deep machine learning improve crack observation and bridge condition assessment?",{"text":85,"@type":77},"Deep machine learning enables analysis of large sets of measurement images for non-contact, fast inspection, helping observe the rate and extent of damage development and predict its evolution in time and space to reduce failure risk.","https://schema.org",{"og:url":52,"og:type":88,"og:title":13,"og:site_name":59,"og:description":14},"article",{"robots":90,"canonical":52},"index,follow",{"doc_id":7,"site_id":24},{"code":4,"msg":5,"data":93},[94,98,102,106,111,116,120,123,128,131,135],{"id":20,"doc_module":4,"doc_module_name":46,"category_name":95,"show_sort_weight":96,"slug":97},"Story & Novel",90,"story-novel",{"id":47,"doc_module":4,"doc_module_name":46,"category_name":99,"show_sort_weight":100,"slug":101},"Literature",80,"literature",{"id":53,"doc_module":4,"doc_module_name":46,"category_name":103,"show_sort_weight":104,"slug":105},"Exam",70,"exam",{"id":107,"doc_module":4,"doc_module_name":46,"category_name":108,"show_sort_weight":109,"slug":110},5,"Comic",60,"comic",{"id":112,"doc_module":4,"doc_module_name":46,"category_name":113,"show_sort_weight":114,"slug":115},6,"Technology",50,"technology",{"id":21,"doc_module":4,"doc_module_name":46,"category_name":117,"show_sort_weight":118,"slug":119},"Healthcare",40,"healthcare",{"id":11,"doc_module":4,"doc_module_name":46,"category_name":12,"show_sort_weight":121,"slug":122},30,"research-report",{"id":124,"doc_module":4,"doc_module_name":46,"category_name":125,"show_sort_weight":126,"slug":127},9,"Religion & Spirituality",20,"religion-spirituality",{"id":126,"doc_module":4,"doc_module_name":46,"category_name":129,"show_sort_weight":126,"slug":130},"World Cup","world-cup",{"id":132,"doc_module":4,"doc_module_name":46,"category_name":133,"show_sort_weight":132,"slug":134},10,"Lifestyle","lifestyle",{"id":136,"doc_module":4,"doc_module_name":46,"category_name":137,"show_sort_weight":107,"slug":138},19,"General","general"]