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Qing Shuang, Yisheng Liu, Yongzhong Tang, Jing Liu, Kai Shuang
Pág. 1 - 17
Water distribution networks (WDNs) represent a class of critical infrastructure networks. When a disaster occurs, component failures in a WDN may trigger system failures that result in larger-scale reactions. The aim of the paper is to evaluate the evolu...
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Qing Shuang, Yisheng Liu, Yongzhong Tang, Jing Liu and Kai Shuang
Water distribution networks (WDNs) represent a class of critical infrastructure networks. When a disaster occurs, component failures in a WDN may trigger system failures that result in larger-scale reactions. The aim of the paper is to evaluate the evolu...
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Wojciech Mochocki and Urszula Radon
Failures and collapses of steel truss towers may be caused by various factors, which often occur simultaneously. The evaluation of truss tower reliability when single elements fail constitutes an important research area. It may happen that the failure of...
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Chungkuk Jin, HanSung Kim, Moo-Hyun Kim and Kiseon Kim
This paper investigates the sensor-based monitoring feasibility of a bottom-set gillnet through time-domain dynamic simulations for various current and wave conditions and failure scenarios. The dimension and design parameters of the bottom-set gillnet w...
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Chuang Liu, Huiyi Yang, Kate Gongadze, Paul Harris, Mingbin Huang and Lianhai Wu
Agricultural system models provide an effective tool for forecasting crop productivity and nutrient budgets under future climate change. This study investigates the potential impacts of climate change on crop failure, grain yield and soil organic carbon ...
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Hang Wang, Chenglong Zhang and Ping Guo
In this study, an interval quadratic fuzzy dependent-chance programming (IQFDCP) model is proposed for irrigation water management under uncertainty. This model can deal with the interval and fuzzy uncertainties encountered in optimal irrigation water re...
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Tao Zhan, Yuan Yao, Jinping Li, Xiang Liu and Yulin Feng
The track fasteners may be damaged by fatigue and impact load during long-term subway operation, resulting in the failure of the connecting components between the rail and the track plate, and the spacing of rail support becomes larger, resulting in an i...
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Claudio Vanneschi, Giovanni Mastrorocco and Riccardo Salvini
In this paper, various methods have been used to control and evaluate engineering difficulties in mining accurately. Different unstable scenarios occurring at the surfaces of underground mine walls, have been identified by comparing 3D terrestrial laser ...
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Alexander Grundler, Martin Dazer and Thomas Herzig
Statistical power analyses are used in the design of experiments to determine the required number of specimens, and thus the expenditure, of a test. Commonly, when analyzing and planning life tests of technical products, only the confidence level is take...
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Somayeh Emami and Hossein Dehghanisanij
The recent problems of Lake Urmia (LU) are caused by extensive and complex socio-ecological factors that require a comprehensive approach to consider the relationships between users and identify failure factors at the basin level. For this purpose, an ag...
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Christos Mattas, Dimitris Karpouzos, Pantazis Georgiou and Theodoros Tsapanos
Dams are expensive technical constructions that ensure food production, sustain farmers? income, and cover a large percentage of urban water supply demands. However, the threat of a dam break flood, which can be extremely dangerous for the local society,...
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Gengdu Xu, Jin Gan, Jun Li, Huabing Liu and Weiguo Wu
The identification of longitudinal bending moments is a critical component in the health monitoring of ship structures. This study examines the effect of the failure of measurement points on the accuracy of bending moment identification and presents a so...
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Nivedita Nukavarapu and Surya Durbha
During an urban flooding scenario, Healthcare Critical Infrastructure (HCI) represents a critical and essential resource. As the flood levels rise and the existing HCI facilities struggle to keep up with the pace, the under-preparedness of most urban cit...
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Chrysanthos Maraveas
The review article investigated failure, design issues, repair and strengthening of reinforced concrete (RC) silos, primarily in agricultural set-ups. The durability of RC structures was influenced by the nature of the bulk solids, materials used in the ...
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Do-Soo Kwon, Chungkuk Jin, MooHyun Kim and Weoncheol Koo
This paper presents a machine learning method for detecting the mooring failures of SFT (submerged floating tunnel) based on DNN (deep neural network). The floater-mooring-coupled hydro-elastic time-domain numerical simulations are conducted under variou...
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Cleber Giugioli Carrasco, Francisco Louzada-Neto (Author)
Pág. 1519 - 1522
The Poly-log-logistic model arises in competing risk scenarios when risks have an independent log-logistic distribution and the cause of failure or death of individual remains unknown, especially if the hazard function is multimodal. The bootstrap techni...
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Qing Yang, Bingyu Song, Yingguo Chen, Lei He and Pei Wang
With the improvement of satellite autonomy, multi-satellite cooperative mission planning has become an important application. This requires multiple satellites to interact with each other via inter-satellite links to reach a consistent mission planning s...
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Mohsen Bakouri
Left ventricular assist devices (LVADs) technology requires developing and implementing intelligent control systems to optimize pump speed to achieve physiological metabolic demands for heart failure (HF) patients. This work aimed to design an advanced t...
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Soon Ho Kwon, Donghwi Jung and Joong Hoon Kim
A traditional urban drainage system (UDS) planning approach generally considers the most probable future rainfall scenario. However, this single scenario (i.e., scenario-optimal) planning approach is prone to failure under recent climatic conditions, whi...
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Bangchu Zhang, Yiyong Liang, Shuitao Rao, Yu Kuang and Weiyu Zhu
In hypersonic flight control, characterized by challenges posed by input saturation, model parameter uncertainties, and external disturbances, this paper introduces a pioneering anti-input saturation control method based on RBFNN adaptivity. We have deve...
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