Nonlinear Damping Identification in Precast Prestressed Reinforced Concrete Beams

Abstract

This article presents a damage detection method for prestressed reinforced concrete (PRC) ele- ments based on free vibration tests and nonlinear damp- ing identification. Integrated static and dynamic exper- iments were carried out on three precast PRC beam specimens. The static loading induced different levels of damage to the beams. At each damage level, impul- sive loading was applied to the beams and the free vi- bration response was measured. The dynamic response data were processed using different methods including the multi-input multi-output (MIMO) curve fitting and the Hilbert transform techniques. A strong correlation is observed between the level of concrete damage (cracks) and the amount of nonlinear energy dissipation that can be modeled by means of quadratic damping. The non- linear damping can be extracted from the free vibration response for each vibration mode. The proposed method is suited for quality control when manufacturing precast PRC members, and can be further extended for in situ detection of damage in concrete structures under ambi- ent vibration

Simultaneous identification of bridge structural parameters and vehicle loads

“…In summary, existing extensive vibration-based bridge system identification methods can be categorized as follows: (1) studies focusing on identification of bridge parameters based on dynamic measurements due to ambient excitations [16][17][18], earthquake excitations [19][20][21][22] or traffic-induced bridge responses with known traffic loads [23][24][25][26]; (2) the identification of dynamic vehicle axle loads or moving forces by assuming known bridge parameters; and (3) identification of both bridge and vehicle parameters with a full sensor placement or using measurements from both the bridge and vehicle subsystems.…”

Data‐Based Model‐Free Hysteretic Restoring Force and Mass Identification for Dynamic Systems

“…Masri et al (, ) presented a general data‐based approach by using power series fitting techniques for developing reduced‐order, nonparametric models in the form of orthogonal polynomial (power series) fitting for nonlinear multi‐degree‐of‐freedom (MDOF) systems and tested the performance of the proposed methodology by numerical simulation. Based on the impulsive loading and free vibration response measurements, a damage detection and nonlinear damping identification approach for prestressed reinforced concrete elements was proposed by Franchetti et al (). In the works by Yun et al (), model‐free identification techniques utilizing nonparametric system identification approaches were used to detect the changes of the nonlinear system, to interpret the physical meaning of the detected changes, and to quantify the uncertainty of the detected system changes.…”

Vibration-Based Damage Localization in Flexural Structures Using Normalized Modal Macrostrain Techniques from Limited Measurements

“…Recently, the extension of vibration‐based damage identification (VBDI) to civil engineering structures is increasingly receiving attention (Jiang and Adeli, 2005b, 2008a, 2008b; Sohn et al, 2008; Jiang et al, 2007; Pakrashi et al, 2007; Gomez et al, 2007; Carden and Brownjohn, 2008; Psimoulis and Stiros, 2008; Belli et al, 2008; Soyoz and Feng, 2009; Cruz and Salgado, 2009; He et al, 2008; Ni et al, 2008; Franchetti et al, 2009; Huang et al, 2009; Ouyang et al, 2009; Lin et al, 2010; Aldemir, 2010). However, in spite of the in‐depth research efforts, several challenges still confront the practical application of VBDI algorithms to real structures.…”