Empirical seismic vulnerability assessment model of typical urban buildings

Li, Si-Qi; Chen, Yongsheng; Liu, Hongbo; Gaudio, Carlo Del

doi:10.1007/s10518-022-01585-8

Cited by 48 publications

(2 citation statements)

References 53 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The building age provides also preliminary information on the structural type, which is a crucial feature for assessing the building's seismic performance. In fact, as argued by several scholars [33,38,39], buildings of the same age are frequently built with similar construction techniques and materials; consequently, they show similar seismic behaviors. While the construction period helps to preliminarily distinguish whether the building may have masonry or reinforced concrete structures, the designation of the main structural type is carried out easily by observing each building for the purpose of detecting selected features and parameters that are relevant for assessing their seismic vulnerability, depending on the structural type itself.…”

Section: Phase 1: Data Collection and Homogeneous Urban Zones Identif...mentioning

confidence: 92%

Planning for More Resilient and Safer Cities: A New Methodology for Seismic Risk Assessment at the Urban Scale, Applied to a Case Study in Italy

Baldassarre,

Conticelli,

Santangelo

2024

Sustainability

View full text Add to dashboard Cite

Recent seismic events and the damages related to them have highlighted the crucial role of urban planning in coping with the fragility and intrinsic vulnerability of cities. The paper presents a methodology for assessing seismic risk at an urban scale, expanding from a single-building investigation to an urban-scale analysis by adopting an empirical method for assessing the vulnerability of the urban fabric. Data collection and analysis have been conducted through the Geographic Information System (GIS). The methodology has been applied to the Italian city of Castelfranco Emilia, in the Emilia-Romagna region, where the current regional urban planning law is guiding municipalities towards the development of strategies mostly oriented toward the retrofit of the existing building stock and the overall regeneration of the urbanized territory, in accordance with the target of no net land take by 2050. The novelty of the method stands in the transposition of approaches born in the civil engineering and protection domains to the urban planning sphere, stressing the importance of developing urban planning instruments which are well-integrated with vulnerability assessments and, therefore, able to successfully incorporate risk considerations in the decision making.

show abstract

Section: Phase 1: Data Collection and Homogeneous Urban Zones Identif...mentioning

confidence: 92%

Planning for More Resilient and Safer Cities: A New Methodology for Seismic Risk Assessment at the Urban Scale, Applied to a Case Study in Italy

Baldassarre,

Conticelli,

Santangelo

2024

Sustainability

View full text Add to dashboard Cite

show abstract

“…Many researchers developed methodologies and approaches to study and estimate structures' seismic vulnerability and fragility [5][6][7][8][9][10][11]. The most reliable and accurate approach is the Nonlinear Time History Analysis (NL-THA) [12].…”

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.

View full text Add to dashboard Cite

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.

show abstract

Seismic loss assessment for regional building portfolios considering empirical seismic vulnerability functions

Li,

Gardoni

2023

Bull Earthquake Eng

View full text Add to dashboard Cite

Empirical seismic vulnerability assessment model of typical urban buildings

Cited by 48 publications

References 53 publications

Planning for More Resilient and Safer Cities: A New Methodology for Seismic Risk Assessment at the Urban Scale, Applied to a Case Study in Italy

Planning for More Resilient and Safer Cities: A New Methodology for Seismic Risk Assessment at the Urban Scale, Applied to a Case Study in Italy

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

Seismic loss assessment for regional building portfolios considering empirical seismic vulnerability functions

Contact Info

Product

Resources

About