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Xianfeng Tan, Bingzhong Song, Huaizhi Bo, Yunwei Li, Meng Wang and Guohong Lu
Underground coal mining-induced ground subsidence (or major ground vertical settlement) is a major concern to the mining industry, government and people affected. Based on the probability integral method, this paper presents a new ground subsidence predi...
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Ying He, Xu Liu, Zhongxian Liu, Xueling Chen and Benchi Yin
Considering the randomness of saturated media parameters such as porosity and permeability coefficient and the randomness of geometric boundary, based on Biot?s theory and the indirect boundary element method (IBEM), in this paper, the Monte Carlo method...
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Zan Klanecek, Rok Hren, Urban Simoncic, Blaz Tasic Muc, Matja? Lukac and Matija Milanic
In this study, a comprehensive and realistic model of laser light interaction with skin and hair was constructed. The model was applied to study the characteristics of laser-tissue interaction for the deeply penetrating Nd:YAG laser. Three types of finit...
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Marcin Koniorczyk and Witold Grymin
Numerous parameters assumed in the calculations of the buildings? energy demand are uncertain. Therefore, calculations should be accompanied by determination of propagation of such uncertainties in the mathematical model. In the article, the influence of...
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Guang-Zheng Wu, Kyosuke Sakaue, Saburo Murakawa
Pág. 1 - 21
In Japan, there are four methods of calculating water supply demands for office buildings based on SHASE-S 206 and two methods based on the design standard of Ministry of Land, Infrastructure, Transport and Tourism (MLIT). However, these methods were fou...
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Jong Seok Lee, Min Hyeok Lee, Yoon-Young Chun and Kun Mo Lee
The purpose of this paper is to compare the degree of uncertainty of the water scarcity footprint using the Monte Carlo statistical method and block bootstrap method. Using the hydrological data of a water drainage basin in Korea, characterization factor...
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Jong Seok Lee, Min Hyeok Lee, Yoon-Young Chun and Kun Mo Lee
The purpose of this paper is to compare the degree of uncertainty of the water scarcity footprint using the Monte Carlo statistical method and block bootstrap method. Using the hydrological data of a water drainage basin in Korea, characterization factor...
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I.Y. Sesin,V.V. Nechaev
Pág. 34 - 40
Path tracing is one of unbiased rendering methods. Said method relies on integral rendering equation to simulate wide variety of optical phenomena. In path tracing, integral part of rendering equation is calculated using Monte Carlo method, which makes t...
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Shenren Xu, Qian Zhang, Dingxi Wang and Xiuquan Huang
Precise and inexpensive uncertainty quantification (UQ) is crucial for robust optimization of compressor blades and to control manufacturing tolerances. This study looks into the suitability of MC-adj-nonlinear, a nonlinear adjoint-based approach, to pre...
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Denis D. Chesalin, Andrei P. Razjivin, Alexey S. Dorokhov and Roman Y. Pishchalnikov
It is known that the protein surrounding, as well as solvent molecules, has a significant influence on optical spectra of organic pigments by modulating the transition energies of their electronic states. These effects manifest themselves by a broadening...
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Yuanfeng Wang, Lei Pan, Weitao Niu, Kai Li and Kun Guo
A reasonable material hysteretic constitutive model has a significant influence on the seismic simulation results of structures. To better describe the hysteresis seismic performance of fiber-reinforced polymer (FRP)-constrained concrete, a new modified ...
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Egor Shiriaev, Nikolay Kucherov, Mikhail Babenko, Vladislav Lutsenko and Safwat Al-Galda
In this paper, a study is carried out related to improving the reliability and fault tolerance of Fog Computing systems. This work is a continuation of previous studies. In the past, we have developed a method of fast operation for determining the sign o...
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Karol Durczak, Piotr Rybacki and Agnieszka Sujak
Knowledge of the use-to-failure periods of process equipment, including agricultural vehicles, is essential for the determination of their durability and reliability. Obtaining any empirical data on this issue is difficult and sometimes impossible. Exper...
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Pawel Nieradka and Andrzej Dobrucki
Monte Carlo Filtering (MCF) is one of the methods of Experimental Statistical Energy Analysis (E-SEA), which allows the correction of negative LFs (Loss Factors). In this article, a modification of the MCF method, called DESA (Diagonal Expansion of the S...
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Adam Hamrouni, Daniel Dias and Xiangfeng Guo
Spatial variability is unavoidable for soils and it is important to consider such a feature in the design of geotechnical engineering as it may lead to some structure behaviors which cannot be predicted by a calculation assuming homogenous soils. This pa...
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Xiao Du, Jiajie Chen, Haibo Zhang and Jiqiang Wang
The aero-engine system is complex, and the working environment is harsh. As the fundamental component of the aero-engine control system, the sensor must monitor its health status. Traditional sensor fault detection algorithms often have many parameters, ...
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Kai Liu, Fangli Wang, Wei Pan, Le Yang, Shuwei Bai, Qiang Zhu and Mingbo Tong
In order to determine the average behavior time of widespread fatigue damage (WFD) in an aircraft multi-site damage (MSD) structure and complete the fatigue analysis of WFD sensitive parts, this paper adopts a probabilistic method to analyze the crack in...
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Deivis Avila, Graciliano Nicolás Marichal, Ramón Quiza and Felipe San Luis
In this work, a mathematical computer simulation model is used to predict the possible energy generated from different Waves Energy Converters (WECs) in the Canary Islands. The Monte Carlo Method is the computer simulation model proposed to predict the g...
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Wei Lin and Cheng Su
The growing demand for the application of jacket platforms in deep water requires more attention on the assessment of structural reliability. This paper is devoted to the dynamic reliability analysis of jacket platforms subjected to random wave loads wit...
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Wei Lin, Cheng Su and Youhong Tang
This paper is devoted to the random vibration analysis of jacket platforms under wave loads using the explicit time-domain approach. The Morison equation is first used to obtain the nonlinear random wave loads, which are discretized into random loading v...
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