This research aims to enhance the understanding and management of aerospace structural integrity. Traditional fracture control methods, such as damage tolerance analysis (DTA), assume deterministic factors, considering uncertainties inherent in material properties, inspections, and operational conditions only at the final stage by applying safety factors. This research seeks to incorporate these uncertainties throughout the analysis by integrating Monte Carlo simulation with Linear Elastic Fracture Mechanics (LEFM). The objective is to investigate how varying parameters affect crack growth prediction and the effectiveness of inspection strategies. The methodology involves systematically analyzing inspection intervals, considering factors like material properties, probability of detection (POD), and other critical inputs. Cascade charts are generated to select inspection intervals that meet regulatory requirements, such as those established by the Federal Aviation Administration (FAA). The project's outcome will be a versatile code allowing for future updates and adaptations. Through this research, we anticipate enhancing aerospace structural reliability and safety.
","abstract_html":"<p>This research aims to enhance the understanding and management of aerospace structural integrity. Traditional fracture control methods, such as damage tolerance analysis (DTA), assume deterministic factors, considering uncertainties inherent in material properties, inspections, and operational conditions only at the final stage by applying safety factors. This research seeks to incorporate these uncertainties throughout the analysis by integrating Monte Carlo simulation with Linear Elastic Fracture Mechanics (LEFM). The objective is to investigate how varying parameters affect crack growth prediction and the effectiveness of inspection strategies. The methodology involves systematically analyzing inspection intervals, considering factors like material properties, probability of detection (POD), and other critical inputs. Cascade charts are generated to select inspection intervals that meet regulatory requirements, such as those established by the Federal Aviation Administration (FAA). The project's outcome will be a versatile code allowing for future updates and adaptations. Through this research, we anticipate enhancing aerospace structural reliability and safety.</p>","abstract_has_math":false,"creators":["De Bruns, Breno"],"institution":null,"degree_name":"Master of Science in Aerospace Engineering","degree_level":"Thesis - Open Access","degree_discipline":"Aerospace Engineering","degree_department":null,"school":null,"contributors":[],"advisors":[],"committee_chairs":[],"committee_members":[],"year":2025,"date_issued":"2025-08-04T07:00:00Z","date_published":"2025-08-04T07:00:00Z","updated_at":"2026-07-27T19:26:16Z","subjects":["Damage Tolerance Analysis","Linear Elastic Fracture Mechanics","Monte Carlo Simulation","Probability of Detection","Crack Growth Models","Fracture Toughness Variability","Non-Destructive Inspection","Inspection Interval Optimization","Fatigue Critical Location","Uncertainty Quantification","Structures and Materials"],"languages":[],"rights":[],"rights_urls":[],"identifier_entries":[]},"links":{"outbound_url":"https://commons.erau.edu/edt/913","outbound_label":"Repository record","outbound_source":"dc:identifier"},"metadata_groups":[{"id":"people","label":"People","entries":[{"key":"dc:creator","label":"Author","values":["De Bruns, Breno"]}]},{"id":"academic_context","label":"Academic Context","entries":[{"key":"thesis:degree_discipline","label":"Discipline","values":["Aerospace Engineering"]},{"key":"thesis:degree_level","label":"Degree Level","values":["Thesis - Open Access"]},{"key":"thesis:degree_name","label":"Degree Name","values":["Master of Science in Aerospace Engineering"]}]},{"id":"subjects_keywords","label":"Subjects and Keywords","entries":[{"key":"dc:subject","label":"Dc Subject","values":["Damage Tolerance Analysis","Linear Elastic Fracture Mechanics","Monte Carlo Simulation","Probability of Detection","Crack Growth Models","Fracture Toughness Variability","Non-Destructive Inspection","Inspection Interval Optimization","Fatigue Critical Location","Uncertainty Quantification","Structures and Materials"]}]},{"id":"identifiers","label":"Identifiers","entries":[{"key":"dc:identifier","label":"Identifier","values":["https://commons.erau.edu/edt/913"]}]},{"id":"additional","label":"Additional Metadata","entries":[{"key":"dc:description.abstract","label":"Abstract","values":["This research aims to enhance the understanding and management of aerospace structural integrity. Traditional fracture control methods, such as damage tolerance analysis (DTA), assume deterministic factors, considering uncertainties inherent in material properties, inspections, and operational conditions only at the final stage by applying safety factors. This research seeks to incorporate these uncertainties throughout the analysis by integrating Monte Carlo simulation with Linear Elastic Fracture Mechanics (LEFM). The objective is to investigate how varying parameters affect crack growth prediction and the effectiveness of inspection strategies. The methodology involves systematically analyzing inspection intervals, considering factors like material properties, probability of detection (POD), and other critical inputs. Cascade charts are generated to select inspection intervals that meet regulatory requirements, such as those established by the Federal Aviation Administration (FAA). The project's outcome will be a versatile code allowing for future updates and adaptations. Through this research, we anticipate enhancing aerospace structural reliability and safety.
"]},{"key":"dc:title","label":"Title","values":["Impact of Uncertainties on Structures Damage Tolerance Parameters"]}]}],"canonical_facts":{"dc:creator":["De Bruns, Breno"],"dc:description.abstract":["This research aims to enhance the understanding and management of aerospace structural integrity. Traditional fracture control methods, such as damage tolerance analysis (DTA), assume deterministic factors, considering uncertainties inherent in material properties, inspections, and operational conditions only at the final stage by applying safety factors. This research seeks to incorporate these uncertainties throughout the analysis by integrating Monte Carlo simulation with Linear Elastic Fracture Mechanics (LEFM). The objective is to investigate how varying parameters affect crack growth prediction and the effectiveness of inspection strategies. The methodology involves systematically analyzing inspection intervals, considering factors like material properties, probability of detection (POD), and other critical inputs. Cascade charts are generated to select inspection intervals that meet regulatory requirements, such as those established by the Federal Aviation Administration (FAA). The project's outcome will be a versatile code allowing for future updates and adaptations. Through this research, we anticipate enhancing aerospace structural reliability and safety.
"],"dc:identifier":["https://commons.erau.edu/edt/913"],"dc:subject":["Damage Tolerance Analysis","Linear Elastic Fracture Mechanics","Monte Carlo Simulation","Probability of Detection","Crack Growth Models","Fracture Toughness Variability","Non-Destructive Inspection","Inspection Interval Optimization","Fatigue Critical Location","Uncertainty Quantification","Structures and Materials"],"dc:title":["Impact of Uncertainties on Structures Damage Tolerance Parameters"],"thesis:degree_discipline":["Aerospace Engineering"],"thesis:degree_level":["Thesis - Open Access"],"thesis:degree_name":["Master of Science in Aerospace Engineering"]},"updated_at":"2026-07-27T19:26:16Z"}