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System identification and modeling of a dynamically tested and gradually damaged 10‐story reinforced concrete building
Author(s) -
Yousefianmoghadam Seyedsina,
Behmanesh Iman,
Stavridis Andreas,
Moaveni Babak,
Nozari Amin,
Sacco Andrea
Publication year - 2018
Publication title -
earthquake engineering and structural dynamics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 2.218
H-Index - 127
eISSN - 1096-9845
pISSN - 0098-8847
DOI - 10.1002/eqe.2935
Subject(s) - structural engineering , shaker , modal , finite element method , parametric statistics , operational modal analysis , infill , demolition , ambient vibration , modal analysis , vibration , engineering , system identification , identification (biology) , reinforced concrete , dynamic testing , computer science , civil engineering , materials science , mathematics , statistics , physics , software engineering , quantum mechanics , botany , data modeling , polymer chemistry , biology
Summary This paper discusses the dynamic tests, system identification, and modeling of a 10‐story reinforced concrete building. Six infill walls were demolished in 3 stages during the tests to introduce damage. In each damage stage, dynamic tests were conducted by using an eccentric‐mass shaker. Accelerometers were installed to record the torsional and translational responses of the building to the induced excitation, as well as its ambient vibration. The modal properties in all damage states are identified using 2 operational modal analysis methods that can capture the effect of the wall demolition. The modal identification is facilitated by a finite element model of the building. In turn, the model is validated through the comparison of the numerically and experimentally obtained modal parameters. The validated model is used in a parametric study to estimate the influence of structural and nonstructural elements on the dynamic properties of the building and to assess the validity of commonly used empirical formulas found in building codes. Issues related to the applicability and feasibility of system identification on complex structures, as well as considerations for the development of accurate, yet efficient, finite element models are also discussed.