2022
DOI: 10.5194/egusphere-egu22-12593
|View full text |Cite
Preprint
|
Sign up to set email alerts
|

A case study of comparative seismic assessment of reinforced concrete structures using rapid visual screening methods

Abstract: <p><strong> Abstract</strong></p><p>Since earthquake-induced damages have been escalating in recent years, and some structures built in Europe are designed without considering seismic design standards or with considering moderate design standards, seismic evaluation of existing buildings is required to perform (Aftabur & Shajib, 2012; Valentina et al., 2018). Determining safety level of existing buildings and performing … Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...

Citation Types

0
2
0
1

Year Published

2023
2023
2024
2024

Publication Types

Select...
3

Relationship

0
3

Authors

Journals

citations
Cited by 3 publications
(3 citation statements)
references
References 0 publications
0
2
0
1
Order By: Relevance
“…As computational technology advances, more sophisticated nonlinear analysis procedures, such as nonlinear response history analysis (NLRHA), have become feasible but remain computationally intense and time-consuming [32]. In response, pushover-based methodologies, such as the N2 method, the capacity spectrum method (CSM), and the displacement coefficient method (DCM), have emerged as efficient, simplified alternatives that use empirical approaches to directly estimate seismic demand and capacity, thereby reducing computational burdens [2,33,34]. The N2 method provides a simplified estimation of seismic demands based on a plastic hinge analysis approach, the CSM uses a capacity spectrum to assess structural response, and the displacement coefficient method estimates seismic demands based on displacement coefficients derived from experimental data [2][3][4].…”
mentioning
confidence: 99%
See 1 more Smart Citation
“…As computational technology advances, more sophisticated nonlinear analysis procedures, such as nonlinear response history analysis (NLRHA), have become feasible but remain computationally intense and time-consuming [32]. In response, pushover-based methodologies, such as the N2 method, the capacity spectrum method (CSM), and the displacement coefficient method (DCM), have emerged as efficient, simplified alternatives that use empirical approaches to directly estimate seismic demand and capacity, thereby reducing computational burdens [2,33,34]. The N2 method provides a simplified estimation of seismic demands based on a plastic hinge analysis approach, the CSM uses a capacity spectrum to assess structural response, and the displacement coefficient method estimates seismic demands based on displacement coefficients derived from experimental data [2][3][4].…”
mentioning
confidence: 99%
“…ternatives that use empirical approaches to directly estimate seismic demand and capacity, thereby reducing computational burdens [2,33,34]. The N2 method provides a simplified estimation of seismic demands based on a plastic hinge analysis approach, the CSM uses a capacity spectrum to assess structural response, and the displacement coefficient method estimates seismic demands based on displacement coefficients derived from experimental data [2][3][4].…”
mentioning
confidence: 99%
“…berbagai macam bencana hingga saat ini oleh karena itu perlu dilakukan pengecekan khususnya terhadap komponen struktural untuk mengetahui tingkat kerusakan akibat pasca bencana. Investigasi struktur untuk bangunan tua perlu dilakukan untuk meninjau tingkat keamanan bangunan yang ada dan melakukan tindakan pencegahan yang tepat sangat penting mencegah kemungkinan masalah yang mengancam (Bektaş & Kegyes-Brassai, 2022). Pengamatan visual merupakan suatu tahapan awal untuk mendefinisikan permasalahan atau kerusakan pada suatu bangunan gedung, dan keselamatan pengguna bangunan.…”
unclassified