Computer-Aided Structural Diagnosis of Bridges Using Combinations of Static and Dynamic Tests: A Preliminary Investigation

• Published in: Materials Vol. 16; no. 24; p. 7512
• Main Authors: Garbowski, Tomasz, Cornaggia, Aram, Zaborowicz, Maciej, Sowa, Sławomir
• Format: Journal Article
• Language: English
• Published: Switzerland MDPI AG 05.12.2023
• Subjects: Algorithms; Bridges; Chemical damage; Chemical reactions; Civil engineering; Concrete; Concrete bridges; Construction; Diagnosis; Dynamic loads; Dynamic tests; Employment; Engineering research; Investigations; Optimization; Parameter identification; Reinforced concrete; Sensors; Trends; finite element method; structural diagnosis; dynamic modal analysis; multistart optimization procedure; local minimization algorithm; inverse analysis; concrete bridge; trust region algorithm
• ISSN: 1996-1944; 1996-1944
• DOI: 10.3390/ma16247512

Reinforced concrete bridges deteriorate over time, therefore displaying a regular need for structural assessment and diagnosis. The reasons for their deterioration are often the following: (a) intensive use, (b) very dynamic loads acting for long periods of time, (c) and sometimes chemical processes that damage the concrete or lead to corrosion of the reinforcement. Assuming the hypothesis that both the stiffness of the material and its density change over time, these parameters shall be identified, preferably in a non-destructive way, in different locations of the investigated structure. Such task is expected to be possibly exerted by means of one or more tests, which must not be laborious or cause the bridge to be out of service for a long time. In this paper, an attempt is made to prepare a procedure based on dynamic tests supplemented with several static measurements, in order to identify the largest number of parameters in the shortest possible time, within an inverse analysis methodology. The proposed procedure employs a popular algorithm for minimizing the objective function, i.e., trust region in the least square framework, as part of the inverse analysis, where the difference between measurements made in situ and those calculated numerically is minimized. As a result of the work performed, optimal sets of measurements and test configurations are proposed, allowing the searched parameters to be found in a reliable manner, with the greatest possible precision.