{"id":994,"date":"2026-02-25T10:35:09","date_gmt":"2026-02-25T10:35:09","guid":{"rendered":"https:\/\/r8993.hemsida.eu\/swedness\/?post_type=project&#038;p=994"},"modified":"2026-03-18T12:56:00","modified_gmt":"2026-03-18T12:56:00","slug":"investigation-on-the-self-healing-capabilities-of-asphaltic-materials-using-neutron-imaging","status":"publish","type":"project","link":"https:\/\/r8993.hemsida.eu\/swedness\/projects\/investigation-on-the-self-healing-capabilities-of-asphaltic-materials-using-neutron-imaging\/","title":{"rendered":"Investigation on the Self-Healing Capabilities of Asphaltic Materials Using Neutron Imaging"},"content":{"rendered":"\n<p>This project investigated how neutron imaging can be used to understand the mechanisms behind the self-healing behavior of asphaltic materials, specifically bitumen and bitumen mastics. Bitumen acts as a binder in asphalt mixtures and has the ability to repair small cracks under suitable conditions, but the microscopic processes driving this self-healing have remained unclear.<\/p>\n\n\n\n<p>The study first established the optimal sample dimensions for neutron transmission, balancing between sufficient penetration and structural detail. Time-series neutron tomography was then employed to monitor the healing of fractured samples with varying hydrated lime filler content, crack volume, and contact area. A 3D image analysis pipeline involving denoising, segmentation, and volumetric quantification was developed to evaluate healing kinetics.<\/p>\n\n\n\n<p>The results demonstrated that initial crack geometry strongly influences the healing rate and that bitumen and mastics containing up to 30% filler exhibited similar healing behavior for small cracks. However, healing efficiency decreased exponentially with higher filler concentrations. The findings established neutron imaging as a powerful tool for non-destructive, time-resolved characterization of asphaltic materials, supporting the development of more durable, self-repairing pavements.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Licentiate: Adrian Markari, KTH Royal Institute of Technology (2021)<\/p>\n","protected":false},"featured_media":0,"template":"","project_category":[50],"research_theme":[40],"class_list":["post-994","project","type-project","status-publish","hentry","project_category-former","research_theme-engineering"],"acf":[],"_links":{"self":[{"href":"https:\/\/r8993.hemsida.eu\/swedness\/wp-json\/wp\/v2\/project\/994","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/r8993.hemsida.eu\/swedness\/wp-json\/wp\/v2\/project"}],"about":[{"href":"https:\/\/r8993.hemsida.eu\/swedness\/wp-json\/wp\/v2\/types\/project"}],"version-history":[{"count":1,"href":"https:\/\/r8993.hemsida.eu\/swedness\/wp-json\/wp\/v2\/project\/994\/revisions"}],"predecessor-version":[{"id":995,"href":"https:\/\/r8993.hemsida.eu\/swedness\/wp-json\/wp\/v2\/project\/994\/revisions\/995"}],"wp:attachment":[{"href":"https:\/\/r8993.hemsida.eu\/swedness\/wp-json\/wp\/v2\/media?parent=994"}],"wp:term":[{"taxonomy":"project_category","embeddable":true,"href":"https:\/\/r8993.hemsida.eu\/swedness\/wp-json\/wp\/v2\/project_category?post=994"},{"taxonomy":"research_theme","embeddable":true,"href":"https:\/\/r8993.hemsida.eu\/swedness\/wp-json\/wp\/v2\/research_theme?post=994"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}