@phdthesis{Hatahet,
  author    = {Hatahet, Tareq},
  title     = {On the Analysis of the Disproportionate Structural Collapse in RC Buildings},
  doi       = {10.25643/bauhaus-universitaet.3740},
  url       = {http://nbn-resolving.de/urn:nbn:de:gbv:wim2-20180329-37405},
  school      = {Bauhaus-Universit{\"a}t Weimar},
  pages     = {243},
  abstract  = {Increasing structural robustness is the goal which is of interest for structural engineering community. The partial collapse of RC buildings is subject of this dissertation. Understanding the robustness of RC buildings will guide the development of safer structures against abnormal loading scenarios such as; explosions, earthquakes, fine, and/or long-term accumulation effects leading to deterioration or fatigue. Any of these may result in local immediate structural damage, that can propagate to the rest of the structure causing what is known by the disproportionate collapse. This work handels collapse propagation through various analytical approaches which simplifies the mechanical description of damaged reinfoced concrete structures due to extreme acidental event.},
  subject      = {Beton},
  language  = {en}
}
@phdthesis{Zhu,
  author    = {Zhu, Pengtao},
  title     = {The Variability of the Void Ratio of Sand and its Effect on Settlement and Infinite Slope Stability},
  doi       = {10.25643/bauhaus-universitaet.3741},
  url       = {http://nbn-resolving.de/urn:nbn:de:gbv:wim2-20180403-37411},
  school      = {Bauhaus-Universit{\"a}t Weimar},
  pages     = {164},
  abstract  = {The uncertainty of a soil property can significantly affect the physical behavior of soil, so as to influence geotechnical practice. The uncertainty can be expressed by its stochastic parameters, including the mean, the standard deviation, and the spatial correlation length. These stochastic parameters are regarded as constant value in most of the former studies. The main aim of this thesis is to prove whether they are depth-dependent, and to evaluate the effect of this depth-dependent character on both the settlement and the infinite slope stability during rainwater infiltration. A stochastic one-dimensional settlement simulation is carried out using random finite element method with the von Wolffersdorff hypoplastic model, so as to evaluate the effect of stress level on the stochastic parameters of void ratio related parameters of sand. It is found that these stochastic parameters are both stress-dependent and depth-dependent. The non-stationary random field, considering the depth-dependent character of these stochastic parameters, can be generated through the distortion of the stationary random field. The one-dimensional settlement analysis is carried out to evaluation the effect of the depth-dependent character of the stochastic parameters of void ratio on the strain. It is found that the depth-dependent character has low effect on the strain. The deterministic analysis of infinite slope stability during rainwater infiltration is simulated. The transient seepage is carried out using finite difference method, while the steady state seepage is simulated using the analytical solution. The saturated hydraulic conductivity (ks) is taken as the only variable. The results show that the depth-dependent ks has a significant influence on the stability of the slope when the negative flux is high. Without considering the depth-dependent character, can overestimate the factor of safety of the slope. A slope can fail if the depth-dependent character is considered, while it is stable if the depth-dependent character is neglected. The failure time of the slope with a greater depth-dependent ks is earlier during transient infiltration. Meanwhile, the stochastic infinite slope stability analysis during infiltration, is also carried out to highlight the effect of the depth-dependent character of the stochastic parameters of ks. The results show that: the probability of failure is significantly increased if the depth-dependent character of mean is considered, while, it is moderately reduced if the depth-dependent character of the standard deviation is accounted. If the depth-dependent character of both the mean and standard deviation of ks is considered, the depth-dependent mean value plays a dominant influence on the results. Furthermore, the depth-dependent character of the spatial correlation length can slightly reduce the probability of failure.},
  subject      = {Bodenunruhe},
  language  = {en}
}
@phdthesis{Hommel,
  author    = {Hommel, Angela},
  title     = {Diskret holomorphe Funktionen und deren Bedeutung bei der L{\"o}sung von Differenzengleichungen},
  doi       = {10.25643/bauhaus-universitaet.3784},
  url       = {http://nbn-resolving.de/urn:nbn:de:gbv:wim2-20180827-37846},
  school      = {Bauhaus-Universit{\"a}t Weimar},
  abstract  = {Auf der Grundlage diskreter Cauchy-Riemann Operatoren werden diskret holomorphe Funktionen definiert und detailliert studiert. Darauf aufbauend wird die L{\"o}sung von Differenzengleichungen mit Hilfe der diskret holomorphen Funktionen beschrieben.},
  subject      = {Differenzengleichung},
  language  = {de}
}
@masterthesis{Nguyen,
  type      = {Bachelor Thesis},
  author    = {Nguyen, Thai Cuong},
  title     = {Fl{\"a}chen zweiter Ordnung - D{\"a}cher m{\"u}ssen nicht eben sein},
  doi       = {10.25643/bauhaus-universitaet.3749},
  url       = {http://nbn-resolving.de/urn:nbn:de:gbv:wim2-20181024-37496},
  school      = {Bauhaus-Universit{\"a}t Weimar},
  pages     = {47},
  abstract  = {In dieser Arbeit geht es um die Quadriken in der Ebene und im Raum. Dabei werden die Transformation in die Normalform und die Klassifikation untersucht. Aus den geometrischen Eigenschaften werden einige Anwendungsbeispiele der Quadriken in der Technik und dem allt{\"a}glichen Leben vorgestellt.},
  subject      = {Quadrik},
  language  = {de}
}
@article{GhazvineiDarvishiMosavietal.,
  author    = {Ghazvinei, Pezhman Taherei and Darvishi, Hossein Hassanpour and Mosavi, Amir and Yusof, Khamaruzaman bin Wan and Alizamir, Meysam and Shamshirband, Shahaboddin and Chau, Kwok-Wing},
  title     = {Sugarcane growth prediction based on meteorological parameters using extreme learning machine and artificial neural network},
  series = {Engineering Applications of Computational Fluid Mechanics},
  volume    = {2018},
  journal   = {Engineering Applications of Computational Fluid Mechanics},
  number    = {12,1},
  publisher = {Taylor \& Francis},
  doi       = {10.1080/19942060.2018.1526119},
  url       = {http://nbn-resolving.de/urn:nbn:de:gbv:wim2-20181017-38129},
  pages     = {738 -- 749},
  abstract  = {Management strategies for sustainable sugarcane production need to deal with the increasing complexity and variability of the whole sugar system. Moreover, they need to accommodate the multiple goals of different industry sectors and the wider community. Traditional disciplinary approaches are unable to provide integrated management solutions, and an approach based on whole systems analysis is essential to bring about beneficial change to industry and the community. The application of this approach to water management, environmental management and cane supply management is outlined, where the literature indicates that the application of extreme learning machine (ELM) has never been explored in this realm. Consequently, the leading objective of the current research was set to filling this gap by applying ELM to launch swift and accurate model for crop production data-driven. The key learning has been the need for innovation both in the technical aspects of system function underpinned by modelling of sugarcane growth. Therefore, the current study is an attempt to establish an integrate model using ELM to predict the concluding growth amount of sugarcane. Prediction results were evaluated and further compared with artificial neural network (ANN) and genetic programming models. Accuracy of the ELM model is calculated using the statistics indicators of Root Means Square Error (RMSE), Pearson Coefficient (r), and Coefficient of Determination (R2) with promising results of 0.8, 0.47, and 0.89, respectively. The results also show better generalization ability in addition to faster learning curve. Thus, proficiency of the ELM for supplementary work on advancement of prediction model for sugarcane growth was approved with promising results.},
  subject      = {K{\"u}nstliche Intelligenz},
  language  = {en}
}
@article{FaizollahzadehArdabiliNajafiAlizamiretal.,
  author    = {Faizollahzadeh Ardabili, Sina and Najafi, Bahman and Alizamir, Meysam and Mosavi, Amir and Shamshirband, Shahaboddin and Rabczuk, Timon},
  title     = {Using SVM-RSM and ELM-RSM Approaches for Optimizing the Production Process of Methyl and Ethyl Esters},
  series = {Energies},
  journal   = {Energies},
  number    = {11, 2889},
  publisher = {MDPI},
  address   = {Basel},
  doi       = {10.3390/en11112889},
  url       = {http://nbn-resolving.de/urn:nbn:de:gbv:wim2-20181025-38170},
  pages     = {1 -- 20},
  abstract  = {The production of a desired product needs an effective use of the experimental model. The present study proposes an extreme learning machine (ELM) and a support vector machine (SVM) integrated with the response surface methodology (RSM) to solve the complexity in optimization and prediction of the ethyl ester and methyl ester production process. The novel hybrid models of ELM-RSM and ELM-SVM are further used as a case study to estimate the yield of methyl and ethyl esters through a trans-esterification process from waste cooking oil (WCO) based on American Society for Testing and Materials (ASTM) standards. The results of the prediction phase were also compared with artificial neural networks (ANNs) and adaptive neuro-fuzzy inference system (ANFIS), which were recently developed by the second author of this study. Based on the results, an ELM with a correlation coefficient of 0.9815 and 0.9863 for methyl and ethyl esters, respectively, had a high estimation capability compared with that for SVM, ANNs, and ANFIS. Accordingly, the maximum production yield was obtained in the case of using ELM-RSM of 96.86\% for ethyl ester at a temperature of 68.48 °C, a catalyst value of 1.15 wt. \%, mixing intensity of 650.07 rpm, and an alcohol to oil molar ratio (A/O) of 5.77; for methyl ester, the production yield was 98.46\% at a temperature of 67.62 °C, a catalyst value of 1.1 wt. \%, mixing intensity of 709.42 rpm, and an A/O of 6.09. Therefore, ELM-RSM increased the production yield by 3.6\% for ethyl ester and 3.1\% for methyl ester, compared with those for the experimental data.},
  subject      = {Biodiesel},
  language  = {en}
}
@misc{Piethe,
  type      = {Master Thesis},
  author    = {Piethe, Vivienne},
  title     = {Konfektionierung eines Calciumsulfat-Bindemittelsystems zur Herstellung volumenstabiler Fließestrichm{\"o}rtel},
  doi       = {10.25643/bauhaus-universitaet.3944},
  url       = {http://nbn-resolving.de/urn:nbn:de:gbv:wim2-20190902-39445},
  school      = {Bauhaus-Universit{\"a}t Weimar},
  pages     = {107},
  abstract  = {Bei einem markt{\"u}blichen Calciumsulfat-Fließestrich wurden in der Praxis sch{\"a}digende Volu-menexpansionen festgestellt. Diese sind ein Resultat aus dem Zusammenwirken des einge-setzten Bindemittel-Compounds und einer kritischen Gesteinsk{\"o}rnung. Das Ziel dieser Arbeit ist es, ein Calciumsulfat-Bindemittelsystem zu konfektionieren, welches in der Lage ist, die im M{\"o}rtel festgestellten Volumenexpansionen zu unterbinden. Es sollen verschiedene Bindemittel- und Additivzusammensetzungen untersucht werden, welche in Verbindung mit der kritischen Gesteinsk{\"o}rnung die Herstellung eines volumenstabilen Fließestrichs erm{\"o}glichen. Dazu soll folgende Fragestellung beantwortet werden: Welche Ursachen hat die Volumenzunahme und wie ist diese zu minimieren bzw. unterbinden? Dabei werden unterschiedliche Bindemittelrezepturen aus α-Halbhydrat, Thermoanhydrit und Naturanhydrit, sowie verschiedene Additivzusammensetzungen hergestellt und untersucht. Durch L{\"a}ngen{\"a}nderungsmessungen in der Schwindrinne werden die Einfl{\"u}sse der Binde-mittel, der Additivzusammensetzungen und der Wasser/Bindemittel-Werte auf das L{\"a}n-gen{\"a}nderungsverhalten untersucht. Mittels Variation der einzelnen Compound-Bestandteile kann festgestellt werden, dass der Stabilisierer die L{\"a}ngen{\"a}nderung negativ beeinflusst. Dieser bindet freies Wasser, welches f{\"u}r eine Reaktion zwischen Bindemittel und Gesteins-k{\"o}rnung im plastischen Zustand nicht mehr zur Verf{\"u}gung steht. Diese Reaktion kann folglich erst im erh{\"a}rteten Zustand ablaufen und verursacht die sch{\"a}digende Volumenexpansion. Abschließend wurde ein Bindemittel-Compound konfektioniert, welcher ohne Zusatz von Stabilisierern in Zusammenhang mit der kritischen Gesteinsk{\"o}rnung volumenstabil ist und keine Sch{\"a}den ausl{\"o}st.},
  subject      = {Calciumsulfat},
  language  = {de}
}