Seismic damage assessment and prediction using artificial neural network of RC building considering irregularities

Hait, Pritam; Sil, Arjun; Choudhury, Satyabrata

doi:10.1080/24705314.2019.1692167

Cited by 28 publications

(8 citation statements)

References 37 publications

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“…Researchers have utilized the Park and Ang DI concept for validation and have proposed various modified versions [29,[46][47][48][49][50][51]. Kunnath et al in 1992 [29] made the most significant modification to this DI by eliminating the recoverable deformation and using moment and curvature terms in place of force and displacement.…”

Section: Seismic Damage Indexmentioning

confidence: 99%

Cost and Damage Comparison of RC Frame Buildings Designed by IS Code and Unified Performance-Based Design Method

Das,

Choudhury,

Das

2024

Preprint

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Seismic design code of India follows the traditional forced-based approach for designing buildings to resist a lateral force representing the earthquake excitations. Owing to various limitations of this approach, there is a growing interest towards Performance-Based Design (PBD) when designing buildings for seismic events. The Unified Performance-Based Design (UPBD) is a new and advanced PBD approach capable of effectively designing buildings for specific performance levels and drift. Despite its potential benefits, the widespread adoption of PBD remains limited especially, in India. To address this gap, a comprehensive study was conducted to evaluate the effectiveness of two distinct design methodologies: the conventional force-based Indian Standard (IS) code method and the innovative UPBD approach. The study focused on analysing the cost implications and seismic damage outcomes of each method. Nine reinforced concrete frame buildings were initially designed using the IS code method, followed by detailed nonlinear analyses to assess their performance. Subsequently, the buildings are redesigned using UPBD to achieve equivalent performance levels and drift, setting a standardized benchmark for comparison. Cost is assessed based on the weight of concrete and steel, while a modified Park and Ang Damage Index is used to quantify damage. The research findings unveiled that buildings designed using the UPBD method exhibited lower overall costs and showcased reduced vulnerability to structural damage compared to those designed using the traditional IS code approach. The UPBD-designed buildings demonstrate superior performance metrics and potential cost savings, emphasizing the economic and structural benefits of adopting the UPBD method for seismic design.

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Section: Seismic Damage Indexmentioning

confidence: 99%

Cost and Damage Comparison of RC Frame Buildings Designed by IS Code and Unified Performance-Based Design Method

Das,

Choudhury,

Das

2024

Preprint

Self Cite

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“…They mentioned in their work that the ANN was an accurate technique to be used as a probabilistic seismic risk assessment method. Seo et al [27] and Hait et al [28] use the ML models to assess the seismic vulnerability of irregular structures and derive fragility curves quicker.…”

Section: Introductionmentioning

confidence: 99%

Seismic response prediction using a hybrid unsupervised and supervised machine learning in case of 3D RC frame buildings

Abdellatif,

Chikh,

Ahmed

2024

Res. Eng. Struct. Mat.

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The seismic vulnerability assessment represents an important step in monitoring the buildings’ capacity and checking their performance during and after earthquake events. The Nonlinear Time History Analysis (NL-THA) is considered the most reliable method that is used to calculate the exact structural behavior of any building. However, this sophisticated method is known for its complexity, the use of Finite Element (FE) software, and computational time consuming, especially in the case of tall buildings. For that reason, An Artificial Neural network (ANN) is used to develop a new model able to predict the essential Engineering Demand Parameters (EDPs), i.e., the Maximum Base Shear (MBS), the Maximum Inter-story Drift (MIDR) and the Maximum Roof Drift Ratio (RDR). Unsupervised algorithms such as the Principal Component Analysis PCA and the Autoencoder are coupled with the ANN to reduce the dimensionality, improve the dataset quality, and reduce the irrelevant features. More than 192,000 buildings are analyzed using the NL-THA and eighty artificial ground motions (GMs) to generate the dataset. The buildings’ characteristics are generated randomly from the selection range. The results showed that the Autoencoder-ANN model represents the highest performance compared to the PCA-ANN and ANN models. The Autoencoder-ANN model could quickly and accurately predict the seismic responses of unseen ground motions using only the building’s characteristics and the GM parameters without using any FE software.

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“…Hait et al [16] assessed the Park-Ang damage index of low to mid-rise buildings using parameters generated from dynamic analyses, such as the maximum interstory drift, the peak roof displacement, and the maximum joint rotation of the members. Hait et al [17]. also predicted the Park-Ang damage index by multi-variable regression using the artificial neural network.…”

Section: Introduction 1backgroundmentioning

confidence: 99%

Proposal of Damage Index Ratio for Low- to Mid-Rise Reinforced Concrete Moment-Resisting Frame with Setback Subjected to Uniaxial Seismic Loading

2021

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A vertical irregularity setback in reinforced concrete (RC) building affects its performance and response especially subjected to earthquake ground motions. It is necessary to understand how the seismic damage is established due to setbacks and avoid damage concentration on the irregularity section. The objective of this study is to propose a formula to estimate the damage distribution along the height of the setback building from a geometric measure of the degree of irregularity. First, previous experimental tests for two types of setback buildings, a towered and a stepped setback frames, were analyzed to verify the accuracy of the frame analysis. The results of the frame analysis considerably matched the experimental test results. Furthermore, to study the relationship between the degree of setback and the distribution of damage, a parametric study was conducted using 35 reinforced concrete setback frames, consisting of models with stepped setback type and towered setback type with different degrees of setback. The inelastic dynamic analyses of all the frames under three earthquake ground motions were conducted. The irregularity indices proposed in literature were adopted to express the degree of setback and the structural damage was expressed by the Park–Ang damage index. Using nonlinear regression analysis, formulas to estimate damage index ratio between two main structure parts (tower and base) from setback indices were proposed. Finally, the proposed formula was applied to the experimental test results to confirm its validity.

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Seismic damage assessment and prediction using artificial neural network of RC building considering irregularities

Cited by 28 publications

References 37 publications

Cost and Damage Comparison of RC Frame Buildings Designed by IS Code and Unified Performance-Based Design Method

Cost and Damage Comparison of RC Frame Buildings Designed by IS Code and Unified Performance-Based Design Method

Seismic response prediction using a hybrid unsupervised and supervised machine learning in case of 3D RC frame buildings

Proposal of Damage Index Ratio for Low- to Mid-Rise Reinforced Concrete Moment-Resisting Frame with Setback Subjected to Uniaxial Seismic Loading

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