Results 171 to 180 of about 86,208 (336)

Probabilistic Seismic Hazard Assessment for the North China Plain Earthquake Belt: Sensitivity of Seismic Source Models and Ground Motion Prediction Equations

open access: yesInternational Journal of Disaster Risk Science
In this study, a multi-source data fusion method was proposed for the development of a Hybrid seismic hazard model (HSHM) in China by using publicly available data of the 5th Seismic Ground Motion Parameter Zoning Map (NSGM) and historical seismic ...
Jian Ma   +6 more
doaj   +1 more source

Experimental study on the impact of traffic‐induced vibrations on early‐age concrete

open access: yesStructural Concrete, EarlyView.
Abstract The COUNT (Concreting under Traffic) research project systematically examined the effects of traffic‐induced vibrations on early‐age, hardening concrete—a critical issue for bridge construction and renovation. Traffic closures are often imposed during such projects to mitigate potential damage from vibrations.
Christian Gasser   +6 more
wiley   +1 more source

A framework for understanding uncertainty in seismic risk assessment [PDF]

open access: yes, 2020
Booth E.   +7 more
core   +1 more source

CORR‐DATA: A database of corrosion parameters measured on existing reinforced concrete structures for enhanced structural assessment

open access: yesStructural Concrete, EarlyView.
Abstract The corrosion of reinforcing bars embedded in concrete strongly compromises structural performance over time. However, its detection and quantification remain challenging due to limited comprehensive knowledge of natural corrosion patterns in existing structures.
Elena Casprini   +2 more
wiley   +1 more source

Seismic survey probes urban earthquake hazards in Pacific Northwest [PDF]

open access: bronze, 1999
Michael A. Fisher   +19 more
openalex   +1 more source

Time‐frequency enhanced CNN models for nonlinear strain prediction in RC structures

open access: yesStructural Concrete, EarlyView.
Abstract This study proposes convolutional neural network (CNN)‐based models for predicting the nonlinear strain responses of reinforced concrete (RC) structures subjected to seismic loads. Using convolutional neural networks (CNNs), the study establishes the relationships between the global structural responses—such as acceleration and displacement ...
Insub Choi, Jewoo Choi, Byung Kwan Oh
wiley   +1 more source

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