Abstract:Health monitoring and field‐testing have been two emerging technologies for investigating the real‐world behaviors of high‐rise buildings. The five primary motivations of the two monitoring‐oriented methods are first presented. The four fundamental steps of the data‐driven process are followingly discussed. Then, the state‐of‐the‐art structural health monitoring systems on four representative super‐tall buildings and the relevant data analysis methodologies are reviewed, with the summary of the corresponding o… Show more
“…Cement‐based materials including cement mortar, polymer modification mortar, plain concrete, reinforced concrete and fiber‐reinforced concrete have been used in civil engineering for centuries 1–3 . Among these, low cost concrete with superior durability and mechanical properties has been widely used in various buildings, bridges, and civil infrastructure 4–6 . Concrete structures are inevitably subject to dynamic loadings, such as wind, earthquakes, and bursts, that cause damage during their life spans 7,8 .…”
This study focuses on the relationship between the internal viscous damping and the stiffness of concrete material and structure having small deformation amplitude. New damping parameters were proposed to describe the energy dissipation capacity and the vibration–amplitude attenuation rate. An improved damping suspension test method for predicting the essential material parameters, elasticity modulus and loss modulus, was developed and validated. The results show that the viscous damping energy dissipation capacity of concrete material and structure having small deformation amplitude is proportional to the product of the loss factor and the stiffness, and the vibration‐amplitude attenuation rate is proportional to the product of the damping ratio and the natural frequency. The variation in dimensionless damping mainly results from the change in the stiffness of concrete material and structure. The porosity shows the smallest elasticity modulus and the largest energy dissipation capacity of nano‐phase in cement paste under constant loading conditions. The improved damping suspension test method is proposed based on theoretical analysis and is validated using an experiment and finite element analysis.
“…Cement‐based materials including cement mortar, polymer modification mortar, plain concrete, reinforced concrete and fiber‐reinforced concrete have been used in civil engineering for centuries 1–3 . Among these, low cost concrete with superior durability and mechanical properties has been widely used in various buildings, bridges, and civil infrastructure 4–6 . Concrete structures are inevitably subject to dynamic loadings, such as wind, earthquakes, and bursts, that cause damage during their life spans 7,8 .…”
This study focuses on the relationship between the internal viscous damping and the stiffness of concrete material and structure having small deformation amplitude. New damping parameters were proposed to describe the energy dissipation capacity and the vibration–amplitude attenuation rate. An improved damping suspension test method for predicting the essential material parameters, elasticity modulus and loss modulus, was developed and validated. The results show that the viscous damping energy dissipation capacity of concrete material and structure having small deformation amplitude is proportional to the product of the loss factor and the stiffness, and the vibration‐amplitude attenuation rate is proportional to the product of the damping ratio and the natural frequency. The variation in dimensionless damping mainly results from the change in the stiffness of concrete material and structure. The porosity shows the smallest elasticity modulus and the largest energy dissipation capacity of nano‐phase in cement paste under constant loading conditions. The improved damping suspension test method is proposed based on theoretical analysis and is validated using an experiment and finite element analysis.
“…Structural health monitoring (SHM) utilizes state-of-the-art sensing technologies for damage diagnosis and performance evaluation of infrastructures. 1,2 The data availability of critical structural responses plays an essential role in SHM studies and engineering applications. Most of the quantitative indices are response oriented and configured in a data-driven manner.…”
A monocular vision-based response tracking method is proposed for simultaneously identifying translational floor displacement and rotational joint deformation of frame structures at multiple locations. The framework incorporates subpixel-level feature matching and tracking and is designed by introducing the feature-mix concept and feature quality evaluation for the initialization and postprocessing stage, respectively. The necessity of monitoring frame joint rotation is presented with the damage observations. A large-scale reinforced concrete frame structure is employed to investigate the proposed response estimation method through comprehensive shaking table tests by using a consumer-grade camera. The initial feature population, time-history agreement, overall estimation accuracy, survival feature ratio, and measurement uncertainty are further analyzed. In addition, the potential values and advantages of the proposed response tracking method for dynamic measurement and seismic evaluation are discussed illustratively.
“…During recent decades, structural health monitoring (SHM) has been motivated by smart sensing technology [ 3 ] and implemented with significant progress. [ 4–8 ] In the specific area of earthquake engineering, SHM may be related to seismic health monitoring. [ 9 ] Specific damage patterns of shear walls [ 10 ] and the seismic behavior of a collapsed RC shear wall building [ 11 ] have been extensively investigated by employing analytical models with nonlinear time‐history simulations.…”
Summary
This study presents a designed framework of structural monitoring for coupled shear wall structures by integrating a theoretical response estimation model and a prototype micro‐voltage sensing module. Inspired by the deformation mode of coupled shear walls, a supplemental self‐sensing component is proposed for predicting the target flexural deformation. The self‐sensing component is designed to include permanent magnets and cross wires and installed parallel to the coupling beam. The relative velocity between the two attached walls is obtained using electromagnetic (EM) induction and measured micro‐voltages. Accordingly, the theoretical principle of the self‐sensing prediction model is then derived, and the calculation flowchart is presented. Illustratively, a detailed finite element model was performed in ABAQUS to investigate the feasibility and robustness of the proposed self‐sensing model under different excitation scenarios, and a parametric study is performed. Then, the nonstationary excitation is adopted to further investigate the performance of the self‐sensing model. Furthermore, an EM‐based sensing module for low‐level velocity measurement is developed and the prototype is tested by utilizing a shaking table test with satisfactory performance.
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