Assessing the Seismic Demands on Non-Structural Components Attached to Reinforced Concrete Frames

Abstract

Nonstructural components (NSCs) are the systems that are attached to the floors of a building structure. NSCs have become critical in sustaining post-earthquake functionality while constructing seismic-resilient structures. The seismic behavior of the NSCs primarily depends upon the behavior of the structure to which the NSC is attached. Building structures are subjected to earthquake loads and behave differently when the supporting soil type varies. In light of this, this study investigates the seismic demands on NSC attached to the floors of an elastic-reinforced concrete building frame supported by different soil types. The present study considered a regular building frame and a building frame with mass irregularity on the lower story. A total of 3 sets of 11 horizontal spectral-matched ground motions consistent with each soil type are considered. Floor response spectra (FRS) can be used to measure the seismic load on non-structural components. Primarily, it was found that the ordinates of FRS depend on the floor height, the vibration periods of the building, and the soil type. The presence of mass irregularity at the lower story amplified the floor response at all floor levels. Additionally, the values of floor spectral acceleration increase as soil flexibility increases. The amplification factors are critical for generating the floor response spectra, and their variation along the building height is discussed. The floor acceleration was found to vary non-linearly with the height of the building. Finally, artificial neural networks (ANNs) are employed to develop the prediction models for dynamic amplification factors. The results calculated by the dynamic time history analyses are utilized to validate the proposed prediction models.

Investigation on floor response spectra of a three-story building exposed to near- and far-field earthquakes

“…4, it can be observed that the two peaks observed in the elastic and inelastic FRS are recorded close to the structure's elastic and inelastic modal periods (Table 3), respectively. This finding from this study is consistent with the outcomes of the previous research [11][12][13]. The Floor Response Spectra (FRS) exhibit a consistent trend of increasing magnitude from the first floor at the bottom to the third floor at the top.…”

“…The floor response spectrum (FRS) method is an analytical approach that operates by separating various considerations [7][8][9][10][11][12][13]. Initially, the primary structure undergoes dynamic analysis independently, without factoring in the secondary system's influence.…”

Utilizing Artificial Neural Networks and Random Forests to Forecast the Dynamic Amplification Factors of Non-Structural Components

“…Biological neural networks function as simplified constructs that offer an analytical depiction of artificial neural networks (ANNs). With their ability to handle large datasets, tackle complex problems, and navigate ambiguous situations, neural networks have proven to be more accurate tools for calculations and predictions compared to conventional computational methods [75][76][77][78]. The primary challenge in constructing this model lies in determining the optimal architecture, including the number of hidden layers, epochs, batch size, and more.…”

Enhancing Seismic Design of Non-structural Components Implementing Artificial Intelligence Approach: Predicting Component Dynamic Amplification Factors

“…The component dynamic amplification factor is represented by the ratio FRS/PFA (CDAF). Understanding the seismic behaviour of non-structural components requires knowledge of the CDAF [12,13]. Figure 3 shows the CDAF spectra for different primary structural periods for a 5% damping ratio of the NSC.…”

“…To do this, it is necessary to calculate the floor response spectrum (FRS) at the location where the NSC is connected to the main system. *Corresponding Author Email: noroozinejad@kgut.ac.ir (E. Noroozinejad Farsangi) Using a decoupled analysis method, the floor response spectrum (FRS) approach, is used [7][8][9][10][11][12][13][14][15]. Without considering the impact of the secondary system, the fundamental structure is dynamically analyzed first.…”