Guest Editors
Dr.
Aram Cornaggia
Email: aram.cornaggia@unibg.it
Affiliation: Department of Engineering and Applied Sciences, Università degli studi di Bergamo, viale G. Marconi 5, 24044 Dalmine (BG), Italy
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Research Interests: computational mechanics; non-linear structural analysis; inverse problems; structural parameter identification; mechanics of materials; mechanical characterisation; structural diagnosis.
Prof. Dr. Vladimir Buljak
Email: vbuljak@mas.bg.ac.rs
Affiliation: Faculty of Mechanical Engineering, University of Belgrade, Kraljice Marije 16, 11120 Belgrade, Serbia
Homepage:
Research Interests: computational mechanics; material characterisation; constitutive modelling; finite element analysis; solid mechanics; structural analysis; non-destructive testing; mechanics of materials; reduced order models; parameter identification; fracture mechanics.
Summary
Modern inverse analysis techniques have become essential in diverse engineering fields for parameter identification and system diagnosis. These methods utilize computational algorithms to deduce unknown structural or material parameters from observed data, aiding in the diagnosis and predictions of system anomalies while enhancing the accuracy of numerical models. The primary goal of inverse analysis is to bridge the gap between theoretical models and real-world structural behaviour, both at the material level and at scales of structural components. This facilitates more efficient maintenance, repair, and optimisation of structures. Recent advancements in numerical methods and optimisation algorithms have significantly improved the accuracy and applicability of inverse analysis, enabling more accurate identification of material properties, boundary conditions, and structural parameters. Within the framework of inverse analysis, there are numerous potential applications for parameter identification and structural diagnosis, both at the material level and across the entire structure.
This Special Issue of Structural Durability & Health Monitoring is devoted to methodology developments and application of some of the above outlined approaches, in diverse research fields such as (but not limited to) civil and mechanical engineering.
Keywords
inverse analysis; parameter identification; structural optimisation; structural modelling; experimental testing; non-destructive testing; material testing; structural testing.
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