Results 211 to 220 of about 760,211 (272)

Effects of ground motion spectral characteristics on RC frame fragility considering liquefaction. [PDF]

Sci Rep
Fei Y, Chen LW, Gan SC, Tang LZ, Cui Z.
europepmc   +1 more source

Field validation and engineering application of pressure-dispersed prestressed CFRP anchor cables for stabilizing toppling unstable rock slopes. [PDF]

Sci Rep
Wang Q, Yuan J, Huang K, Hu J, Wang Z, He G, Lan W, Tang S.   +7 more
europepmc   +1 more source

RTEDAP framework for real-time event-driven data aggregation and processing in tsunami early warning systems. [PDF]

Sci Rep
Umadevi M, Gopal D, Nishok VS, Dhanasekar J.   +3 more
europepmc   +1 more source

Seismic performance assessment of irregular self-centering rocking dual-column piers. [PDF]

Sci Rep
Sabagh NG, Shiravand MR.
europepmc   +1 more source

Data-driven assessment of Apulian road network resilience: Bridge unavailability and inner municipality isolation impact. [PDF]

PLoS One
Kheirkhahan N, Bellantuono L, Amoroso N, Cilli R, De Biase L, Lucaferri V, Monaco A, Ormando C, Pantaleo E, Pomarico D, Tangaro S, Tofani A, Bellotti R.   +12 more
europepmc   +1 more source

Attitude towards sports, psychological resilience and life engagement: a study on earthquake victims. [PDF]

Front Public Health
Tek T, Özsarı A, Tilki M, Deli ŞC, Çetin MÇ.   +4 more
europepmc   +1 more source

Seismic performance assessment and strengthening of a residential RC building damaged in the 2023 Türkiye Earthquakes: A case study. [PDF]

Sci Rep
Peker FÜ, Yuzbasi J, Işık E, Avcil F, Büyüksaraç A.   +4 more
europepmc   +1 more source

Seismic resilience of urban networks: dataset for infrastructure visualization and vulnerability assessment. [PDF]

Sci Data
Civera M, Aloschi F, Di Maio GM, Fierro Carrasco JP, Miano A, Chiaia B, Prota A.   +6 more
europepmc   +1 more source

Displacement-based seismic fragility assessment of a high-rise reinforced concrete building. [PDF]

Sci Rep
Sharma KK, Imam A, Kumar P, Olaiya BC.
europepmc   +1 more source

An empirical seismic vulnerability model

Bulletin of Earthquake Engineering, 2022
This paper proposes a novel seismic vulnerability model for the classification of the existing residential building stock. The vulnerability model rests on a data-driven approach, taking advantage of observed seismic damages detected on several Italian building typologies, struck by the 2009 L'Aquila earthquake. Unsupervised machine learning techniques
A. Rosti, M. Rota, A. Penna
openaire   +3 more sources