Results 211 to 220 of about 4,539 (295)

Anomaly detection and early risk identification in digital disaster response-based on deep learning in public health. [PDF]

Front Public Health
Wu W, Pan C.
europepmc   +1 more source

Applied Element Modelling of Out‐Of‐Plane Instability in Boundary Elements of Thin RC Walls

Earthquake Engineering &Structural Dynamics, EarlyView.
ABSTRACT Recent earthquakes in Chile (2010) and New Zealand (2011) caused extensive damage to buildings featuring reinforced concrete (RC) structural walls, with observed failure modes including out‐of‐plane instability of slender walls. This buckling‐type response under combined in‐plane and out‐of‐plane loading has also been documented in ...
Andrea Orgnoni, Rui Pinho, João Pacheco de Almeida   +2 more
wiley   +1 more source

Dynamics of non-self-similar earthquakes illuminated by a controlled fault asperity. [PDF]

Nat Commun
Okubo K, Yamashita F, Fukuyama E.
europepmc   +1 more source

Effects of Wall‐to‐Floor Interactions on Seismic Response of Platform‐Type CLT Buildings

Earthquake Engineering &Structural Dynamics, EarlyView.
ABSTRACT Platform‐type cross‐laminated timber (CLT) buildings feature discontinuous wall segments supported by CLT floors. In practice, CLT floors are often treated as rigid diaphragm, yet the wall‐to‐floor interactions (WFIs) associated with flexibility of floors remain insufficiently investigated during seismic performance assessment.
Chaoyue Zhang, Yuxin Pan, Jiawei Chen, Huifeng Yang   +3 more
wiley   +1 more source

A benchmark database of ten years of prospective next-day earthquake forecasts in California from the Collaboratory for the Study of Earthquake Predictability. [PDF]

Sci Data
Serafini F, Bayona JA, Silva F, Savran W, Stockman S, Maechling PJ, Werner MJ.   +6 more
europepmc   +1 more source

Empirical Model of Post‐Earthquake Restoration Time for Building Components Based on Data From the 2022 Fukushima‐ken Oki Earthquake in Japan

Earthquake Engineering &Structural Dynamics, EarlyView.
ABSTRACT Estimation of the time required for damaged building components to return to their pre‐earthquake conditions through repair is a critical element in assessing the seismic resilience of buildings, and it requires consideration of uncertainty.
Tomoaki Nishino, Takeshi Morii, Rie Okazawa, Hiroaki Notake, Aya Hada, Takahiro Matsui   +5 more
wiley   +1 more source

Machine learning predicts meter-scale laboratory earthquakes. [PDF]

Nat Commun
Norisugi R, Kaneko Y, Rouet-Leduc B.
europepmc   +1 more source

A Resilience‐Based Reward‐Penalty Scheme for Hardening Electricity Distribution Assets Against High‐Impact, Low‐Probability Disasters

Energy Science &Engineering, EarlyView.
This paper introduces a novel resilience‐based reward‐penalty scheme (RPS) for electricity grids facing high‐impact, low‐probability (HILP) disasters. By modeling the costs of proactive asset immunization against reactive RPS penalties, our analysis conclusively demonstrates that long‐term investment in grid resilience is the more economically rational
Amirhossein Yousefi Joobeni, Reza Dashti
wiley   +1 more source

Tidal and hydrological seismicity modulations reveal pore fluid diffusion during earthquake nucleation. [PDF]

Sci Adv
Zhao Z, Xue L, Bürgmann R, Heimisson ER, Lu W, Yue H.   +5 more
europepmc   +1 more source

Multifactorial Screening for Fine‐Scale Selection of CCS Industrial Clusters and Hubs in Brazil

Greenhouse Gases: Science and Technology, EarlyView.
ABSTRACT As Brazil moves toward implementing its decarbonization commitments, carbon capture and storage (CCS) hubs are emerging as a key pathway for large‐scale CO2 abatement in hard‐to‐abate sectors. This paper presents a multifactorial, data‐driven framework to screen and prioritize potential CCS industrial clusters and hubs across Brazilian regions,
Gustavo P. Oliveira, Beatriz R. Almeida, Thiago R. C. Justino, Carlos A. S. Santos, Alex A. Santos, Fabiana Philipi   +5 more
wiley   +1 more source