Amplification of seismic demands in inter-storey-isolated buildings subjected to near fault pulse type ground motions

Saha, Arijit; Mishra, Sudib Kumar

doi:10.1016/j.soildyn.2021.106771

Cited by 15 publications

(6 citation statements)

References 44 publications

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“…4 shows the spectral acceleration of selected ground motions. Contrary to the non-pulse motions, pulse type ground motions have substantial peaks at higher durations, as mentioned in other study [23], also obtained in the spectral acceleration plots of this study, in Fig. 4.…”

Section: Ground Motion Selectionsupporting

confidence: 76%

Seismic Performance of Coupled Buildings Connected by Yield and SMA Dampers

Singh

Gur²,

Roy

2022

ASPS Conf. Proc.

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Efficient attenuation and control of structural vibration during a seismic event is a critical factor for overall safety and serviceability of the adjacent buildings with little clearance between them. Without proper vibration control measures, adjacent buildings may undergo severe pounding and collapse leading to damage of life and property during an earthquake. Use of energy dissipation devices to connect adjacent buildings has been a popular method of vibration control and to stop mutual poundings. Among various available energy dissipation devices, Shape Memory Alloy (SMA) based dampers are getting popularity in recent time. Various studies are performed to show the efficiency of SMAs as passive vibration control device, but a holistic study of SMA dampers for non-linear connected buildings is still missing. Thus, here a comparative study on the efficiency of metallic yield and super-elastic SMA dampers as passive vibration control device is provided, for non-linear connect buildings. In the present study, non-linear dynamic time history analyses are performed to determine the response (peak floor acceleration and displacement, and floor residual displacement). Time history analyses confirm better acceleration and displacement (both peak and residual) control efficiency of SMA dampers over yield dampers. Finally, superiority of the SMA damper over the yield damper is established via parametric study under varying damper, building and ground motion parameters. Over yield damper, SMA damper reduces acceleration by 13 % to 56 %, displacement by 2 % to 47 %, and residual displacement by 15 % to 64 %.

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Section: Ground Motion Selectionsupporting

confidence: 76%

Seismic Performance of Coupled Buildings Connected by Yield and SMA Dampers

Singh

Gur²,

Roy

2022

ASPS Conf. Proc.

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“…The peak ground velocity (PGV) measure, which is less sensitive to the higherfrequency components, is another useful ground-motion intensity measure. Extensive research has demonstrated that isolated structures which are susceptible to loading within the intermediate-frequency range may benefit from considering velocity-related IMs, as they can offer a more precise assessment of the likelihood of damage [27][28][29]. Housner's definition of seismic intensity (SI) involves calculating the area under the pseudo-velocity spectrum curve within the frequency range of 0.1 s to 2.5 s [30].…”

Section: Introductionmentioning

confidence: 99%

Ground-Motion Intensity Measures for the Seismic Response of the Roof-Isolated Large-Span Structure

Zhen,

Qiu,

Zhang

et al. 2024

Buildings

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Ground-motion intensity measures (IMs), which quantify and describe the characteristics of earthquake ground motion, are of utmost importance in the assessment of seismic risk and the design of resilient structures with large spans. The appropriate selection of a ground-motion IM is crucial in establishing a reliable and robust correlation between seismic hazards and structural demands. The current study presents a novel ground-motion IM that incorporates the influence of multiple vibration modes and period elongation resulting from isolation based on the velocity spectrum. A comprehensive study has been conducted to examine the efficiency of 37 different ground-motion IMs on a roof-isolated large-span structure with engineering demand parameters (EDPs), using far-field ground-motion data. The initial examination of the proposed intensity measure involves a planar lumped-mass model. Subsequently, a numerical model of a large-span roof-isolated structure, specifically the Beijing Workers’ Stadium, is constructed and examined. The results suggest that the proposed intensity measure (IM) demonstrates satisfactory adequacy and achieves optimal efficiency when considering three different engineering demand parameters among 37 other ground-motion intensity measures.

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“…These ground motions have distinct and severe effects on the built environment as compared to far-field ground motions due to the preferential direction of wave propagation, i.e. directivity (Somerville, 2005), Prediction of storey drift using MLC models impulsivity (Hoseini Vaez et al, 2013), rupture complexity (Mai and Meyers, 2009) and amplification due to the geologic and soil conditions of the site, which results in the enrichment of ground motions (Saha and Mishra, 2021). Additionally, the fling-step (Bolt, 2002), which is the sudden upward or downward movement of the ground resulting from the original rupture of the fault; poses a significant threat to the urban landscape in earthquake-prone regions (Somerville, 2002).…”

Section: Introductionmentioning

confidence: 99%

Prediction of storey drift for reinforced concrete structures subjected to pulse-like ground motions using machine learning classification models

Wani,

Vemuri,

Chenna

2023

IJSI

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PurposeNear-fault pulse-like ground motions have distinct and very severe effects on reinforced concrete (RC) structures. However, there is a paucity of recorded data from Near-Fault Ground Motions (NFGMs), and thus forecasting the dynamic seismic response of structures, using conventional techniques, under such intense ground motions has remained a challenge.Design/methodology/approachThe present study utilizes a 2D finite element model of an RC structure subjected to near-fault pulse-like ground motions with a focus on the storey drift ratio (SDR) as the key demand parameter. Five machine learning classifiers (MLCs), namely decision tree, k-nearest neighbor, random forest, support vector machine and Naïve Bayes classifier , were evaluated to classify the damage states of the RC structure.FindingsThe results such as confusion matrix, accuracy and mean square error indicate that the Naïve Bayes classifier model outperforms other MLCs with 80.0% accuracy. Furthermore, three MLC models with accuracy greater than 75% were trained using a voting classifier to enhance the performance score of the models. Finally, a sensitivity analysis was performed to evaluate the model's resilience and dependability.Originality/valueThe objective of the current study is to predict the nonlinear storey drift demand for low-rise RC structures using machine learning techniques, instead of labor-intensive nonlinear dynamic analysis.

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Amplification of seismic demands in inter-storey-isolated buildings subjected to near fault pulse type ground motions

Cited by 15 publications

References 44 publications

Seismic Performance of Coupled Buildings Connected by Yield and SMA Dampers

Seismic Performance of Coupled Buildings Connected by Yield and SMA Dampers

Ground-Motion Intensity Measures for the Seismic Response of the Roof-Isolated Large-Span Structure

Prediction of storey drift for reinforced concrete structures subjected to pulse-like ground motions using machine learning classification models

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