Results 71 to 80 of about 17,530 (265)

Study on the failure mechanism of the shield excavation face in the sandy cobble stratum under different buried depths

open access: yesDeep Underground Science and Engineering, EarlyView.
Abstract One of the significant challenges faced in shield tunnel construction is the risk of collapse resulting from abrupt changes in soil conditions in advance of the working face, particularly within the sandy cobble stratum. This study aims to effectively manage these sudden variations and to further investigate the failure mechanisms associated ...
Hua Jiang   +4 more
wiley   +1 more source

Investigation of the failure characteristics of fissure tunnels under dynamic and static combinations

open access: yesDeep Underground Science and Engineering, EarlyView.
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

Investigation of the seismicity of East Anatolian fault zone (EAFZ) according to Poisson and Exponential distribution models

open access: yesDüzce Üniversitesi Bilim ve Teknoloji Dergisi, 2018
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  

Binaların Deprem Risk Durumlarının Çok Faktörlü Bir Modelle Belirlenmesi

open access: yesDüzce Üniversitesi Bilim ve Teknoloji Dergisi, 2022
Bu çalışmada, Sakarya İli, Akyazı ilçe merkezinde 1967-1999 depremleri arasında yapılan 12 eski binanın deprem risk durumları çok faktörlü bir model ile belirlenmiştir.
Hüseyin Bayraktar   +2 more
doaj  

Data‐driven analysis of the spatial dependence of grouting efficiency during tunnel excavation

open access: yesDeep Underground Science and Engineering, EarlyView.
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

Advancing nearshore and onshore tsunami hazard approximation with machine learning surrogates [PDF]

open access: yesNatural Hazards and Earth System Sciences
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

Rockburst prediction based on data preprocessing and hyperband‐RNN‐DNN

open access: yesDeep Underground Science and Engineering, EarlyView.
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

Earthquake-based multi-hazard resilience assessment: a case study of Istanbul, Turkey (neighborhood level)

open access: yesnpj Natural Hazards
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

Failure characteristics and the energy criterion of rock with a through‐going joint under true‐triaxial unloading conditions: Insights from the DEM model

open access: yesDeep Underground Science and Engineering, EarlyView.
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

Geological and geotechnical challenges on the Great Dyke of Zimbabwe and their impact on hardrock pillar design

open access: yesDeep Underground Science and Engineering, EarlyView.
The Great Dyke of Zimbabwe is notable for its rich platinum group metal deposits but poses significant geological and geotechnical challenges due to its complex rock types and structural features. Traditional pillar design methods are insufficient for addressing these complexities; the study suggests incorporating advanced techniques such as machine ...
Tawanda Zvarivadza   +3 more
wiley   +1 more source

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