Results 121 to 130 of about 7,646,835 (347)
Innovations in earthquake risk reduction for resilience: Recent advances and challenges
F. Freddi +15 more
semanticscholar +1 more source
This article aims to investigate the dynamic fracture response of fractured tunnel models under zero geological stress through physical experiments and numerical simulations. It further simulates the dynamic fracture characteristics of fractured tunnel models under geological stress ranging from 0 to 2.5 MPa using the numerical software AUTODYN ...
Peng Ying +7 more
wiley +1 more source
Turkey has a highearthquake risk due to include the active North Anatolian Fault Zone (NAFZ) andEast Anatolian Fault Zone (EAFZ). The earthquakes should be detail investigatedin order to minimize the damage caused by the earthquakes. Differentstatistical
Kaan Hakan Çoban, Nilgün Sayıl
doaj
Vulnerability assessment of urban building stock: a hierarchic approach [PDF]
In the last decades the evaluation of the seismic risk are of rising concern, considered essential in the activity and definition of strategy planning and urban management.
Costa, A. +4 more
core +1 more source
Data‐driven analysis of the spatial dependence of grouting efficiency during tunnel excavation
Prediction of grouting efficiency using machine learning is enhanced by adopting a training strategy that accounts for the grouting process across multiple rounds. Abstract Grouting with water–cement mixtures is the most widely used and cost‐effective method for managing excess water inflow during tunnel construction.
Huaxin Liu, Xunchang Fei, Wei Wu
wiley +1 more source
We developed a model integrating 28 criteria spanning social, economic, community, environmental, and physical dimensions to evaluate earthquake resilience of Istanbul, a city with a population of 16 million and significant seismic risk, at both district
Saman Ghaffarian +6 more
doaj +1 more source
Rockburst prediction based on data preprocessing and hyperband‐RNN‐DNN
A data preprocessing workflow is proposed to address challenges in rockburst data analysis. Coupled algorithms preprocess the data set, and hyperband optimization is used to enhance RNN performance. Results show that preprocessing improves accuracy, while dense layers enhance model stability and prediction performance.
Yong Fan +4 more
wiley +1 more source
Advancing nearshore and onshore tsunami hazard approximation with machine learning surrogates [PDF]
Probabilistic tsunami hazard assessment and probabilistic tsunami risk assessment (PTHA and PTRA) are vital methodologies for computing tsunami risk and prompt measures to mitigate impacts. However, their application across extensive coastlines, spanning
N. Ragu Ramalingam +4 more
doaj +1 more source
Calculating Risk, Denying Uncertainty: Seismicity and Hydropower Development in Nepal [PDF]
If Ulrich Beck’s definition of ‘risk society’ describes societies increasingly structured by preoccupations with future environmental threats and related insecurities created by modernization, then Nepal’s hydropower community would appear to ...
Butler, Christopher, Rest, Matthäus
core +1 more source
The rock failure mode is significantly influenced by the contributing factors, such as the joint inclination, the initial confining pressure, and the unloading point. We found six typical rock failure modes after a large number of numerical tests. Abstract Excavation unloading damages rock masses, with preferential failure along geological defects in ...
Fei Liu +4 more
wiley +1 more source

