TY  - INPR
A1  - Mosavi, Amir
A1  - Torabi, Mehrnoosh
A1  - Hashemi, Sattar
A1  - Saybani, Mahmoud Reza
A1  - Shamshirband, Shahaboddin
T1  - A Hybrid Clustering and Classification Technique for Forecasting Short-Term Energy Consumption
N2  - Electrical energy distributor companies in Iran have to announce their energy demand at least three 3-day ahead of the market opening. Therefore, an accurate load estimation is highly crucial. This research invoked methodology based on CRISP data mining and used SVM, ANN, and CBA-ANN-SVM (a novel hybrid model of clustering with both widely used ANN and SVM) to predict short-term electrical energy demand of Bandarabbas. In previous studies, researchers introduced few effective parameters with no reasonable error about Bandarabbas power consumption. In this research we tried to recognize all efficient parameters and with the use of CBA-ANN-SVM model, the rate of error has been minimized. After consulting with experts in the field of power consumption and plotting daily power consumption for each week, this research showed that official holidays and weekends have impact on the power consumption. When the weather gets warmer, the consumption of electrical energy increases due to turning on electrical air conditioner. Also, con-sumption patterns in warm and cold months are different. Analyzing power consumption of the same month for different years had shown high similarity in power consumption patterns. Factors with high impact on power consumption were identified and statistical methods were utilized to prove their impacts. Using SVM, ANN and CBA-ANN-SVM, the model was built. Sine the proposed method (CBA-ANN-SVM) has low MAPE 5 1.474 (4 clusters) and MAPE 5 1.297 (3 clusters) in comparison with SVM (MAPE 5 2.015) and ANN (MAPE 5 1.790), this model was selected as the final model. The final model has the benefits from both models and the benefits of clustering. Clustering algorithm with discovering data structure, divides data into several clusters based on similarities and differences between them. Because data inside each cluster are more similar than entire data, modeling in each cluster will present better results. For future research, we suggest using fuzzy methods and genetic algorithm or a hybrid of both to forecast each cluster. It is also possible to use fuzzy methods or genetic algorithms or a hybrid of both without using clustering. It is issued that such models will produce better and more accurate results.
This paper presents a hybrid approach to predict the  electric energy usage of weather-sensitive loads. The presented methodutilizes the clustering paradigm along with ANN and SVMapproaches for accurate short-term prediction of electric energyusage, using weather data. Since the methodology beinginvoked in this research is based on CRISP data mining, datapreparation has received a gr eat deal of attention in thisresear ch. Once data pre-processing was done, the underlyingpattern of electric energy consumption was extracted by themeans of machine learning methods to precisely forecast short-term energy consumption. The proposed approach (CBA-ANN-SVM) was applied to real load data and resulting higher accu-racy comparing to the existing models.
2018 American Institute of Chemical Engineers Environ Prog, 2018 
https://doi.org/10.1002/ep.12934
KW  - Data Mining
KW  - support vector machine (SVM)
KW  - Machine Learning
KW  - forecasting
KW  - Prediction
KW  - Electric Energy Consumption
KW  - clustering
KW  - artificial neural networks (ANN)
Y1  - 2018
U6  - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:gbv:wim2-20180907-37550
N1  - This is the pre-peer reviewed version of the following article: https://onlinelibrary.wiley.com/doi/10.1002/ep.12934, which has been published in final form at 
https://doi.org/10.1002/ep.12934. This article may be used for non-commercial purposes in accordance with Wiley Terms and Conditions for Use of Self-Archived Versions.
ER  - 
TY  - JOUR
A1  - Alalade, Muyiwa
A1  - Nguyen-Tuan, Long
A1  - Wuttke, Frank
A1  - Lahmer, Tom
T1  - Damage identification in gravity dams using dynamic coupled hydro-mechanical XFEM
JF  - International Journal of Mechanics and Materials in Design
N2  - Damage identification in gravity dams using dynamic coupled hydro-mechanical XFEM.
KW  - Angewandte Mathematik
KW  - Stochastik
KW  - Strukturmechanik
Y1  - 2017
U6  - http://dx.doi.org/10.25643/bauhaus-universitaet.3596
SP  - 1
EP  - 19
ER  - 
TY  - THES
A1  - Stäudel, Jürgen
T1  - Development, Implementation and Operation of Integrated Sanitation Systems Based on Material-Flows – Integrated Sanitation in the City of Darkhan, Mongolia - A Practicable Example
N2  - The world society faces a huge challenge to implement the human right of “access to sanitation”. More and more it is accepted that the conventional approach towards providing sanitation services is not suitable to solve this problem. This dissertation examines the possibility to enhance “access to sanitation” for people who are living in areas with underdeveloped water and wastewater infrastructure systems. The idea hereby is to follow an integrated approach for sanitation, which allows for a mutual completion of existing infrastructure with resource-based sanitation systems.
The notion “integrated sanitation system (iSaS)” is defined in this work and guiding principles for iSaS are formulated. Further on the implementation of iSaS is assessed at the example of a case study in the city of Darkhan in Mongolia. More than half of Mongolia’s population live in settlements where yurts (tents of Nomadic people) are predominant. In these settlements (or “ger areas”) sanitation systems are not existent and the hygienic situation is precarious.
An iSaS has been developed for the ger areas in Darkhan and tested over more than two years. Further on a software-based model has been developed with the goal to describe and assess different variations of the iSaS. The results of the assessment of material-flows, monetary-flows and communication-flows within the iSaS are presented in this dissertation. The iSaS model is adaptable and transferable to the socio-economic conditions in other regions and climate zones.
N2  - Die Weltgesellschaft steht der großen Herausforderung gegenüber das Menschrecht auf Zugang zu Sanitärversorgung umzusetzen. Es wird zunehmend akzeptiert, dass konventionelle Ansätze der Abwasserwirtschaft dieses Problem nicht lösen können. Die vorliegende Dissertation untersucht die Möglichkeit eines integrierten Ansatzes, welcher Stoffflüsse, Geldflüsse und Kommunikationsflüsse gemeinsam betrachtet und komplementär zu existierenden Infrastruktursystemen angewendet werden kann.
Der Begriff „integriertes Sanitärsystem (iSaS)“ wird definiert und anhand eines Fallbeispiels in der Stadt Darkhan in der Mongolei untersucht. Hierbei wurde ein Sanitärsystem für Jurtensiedlungen erarbeitet, pilothaft umgesetzt und über 2 Jahre betrieben. Weiterhin wurde ein software- basiertes Modell anhand der Prinzipien von iSaS entwickelt und verschiedene Variationen des Systems untersucht und diskutiert. Das Modell kann an die klimatischen und sozioökonomischen Rahmenbedingungen in anderen Regionen der Welt angepasst werden und damit die potentielle Umsetzung von iSaS unterstützen.
KW  - Abwasser
KW  - Infrastruktur
KW  - Entwicklungsländer
KW  - Abfall
KW  - iPiT®
KW  - Mongolia
KW  - integrated sanitation system
KW  - new alternative sanitation systems NASS
KW  - UDDT
Y1  - 2017
U6  - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:gbv:wim2-20170512-31794
ER  - 
TY  - THES
A1  - Schmitz, Tonia Annick
T1  - Entwicklung und Bilanzierung eines Photobioreaktorsystems zur Makroalgenkultivierung am Standort einer landwirtschaftlichen Biogasanlage
N2  - Marine Makroalgen besitzen vielversprechende Eigenschaften und Inhaltsstoffe für die Verwendung als Energieträger, Nahrungsmittel oder als Ausgangsstoff für Pharmazeutika. Dass die Quantität und Qualität der in natürlicher Umgebung wachsenden Makroalgen schwankt, reduziert jedoch deren Verwertbarkeit und erschwert die Erschließung hochpreisiger Marktsegmente. Zudem ist eine Ausweitung der Zucht in marinen und küstennahen Aquakulturen in Europa gegenwärtig wenig aussichtsreich, da vielversprechende Areale bereits zum Fischfang oder als Erholungs- bzw. Naturschutzgebiete ausgewiesen sind. Im Rahmen dieser Arbeit wird demzufolge ein geschlossenes Photobioreaktorsystem zur Makroalgenkultivierung entwickelt, welches eine umfassende Kontrolle der abiotischen Kultivierungsparameter und eine effektive Aufbereitung des Kulturmediums vorsieht, um eine standortunabhängige Algenproduktion zu ermöglichen. Zur Bilanzierung des Gesamtkonzeptes einer Kultivierung und Verwertung (stofflich oder energetisch) werden die spezifischen Wachstumsraten und Methanbildungspotentiale der Algenarten Ulva intestinalis, Fucus vesiculosus und Palmaria palmata in praktischen Versuchen ermittelt.

Im Ergebnis wird für den gegenwärtigen Entwicklungsstand der Kultivierungsanlage eine positive Bilanz für die stoffliche Verwertung der Algenart Ulva intestinalis und eine negative Bilanz für die energetische Verwertung aller untersuchten Algenarten erzielt. Wird ein Optimalszenario betrachtet, indem die Besatzdichten und Wachstumsraten der Algen in der Zucht erhöht werden, bleibt die Energiebilanz negativ. Allerdings summieren sich die finanzielle Einnahmen durch einen Verkauf der Algen als Produkt auf jährlich 460.869€ für Ulva intestinalis, 4.010€ für Fucus vesiculosus und 16.913€ für Palmaria palmata. Im Ergebnis ist insbesondere eine stoffliche Verwertung der gezüchteten Grünalge Ulva intestinalis anzustreben und die Produktivität der Zuchtanlage im Sinne des Optimalszenarios zu steigern.
N2  - Marine macroalgae have renown properties as feedstock for fuel, food or pharmaceuticals. However, since the quantity and quality of naturally grown algae vary widely, their exploitability is reduced – especially for producers in high priced markets. Moreover, the expansion of marine or shore-based cultivation systems is unlikely in Europe, since promising sites either lie in fishing zones, recreational areas or natural reserves. The aim of this thesis was therefore to develop a closed photobioreactor system enabling full control of abiotic environmental parameters and an effective reconditioning of the cultivation medium in order to produce marine macroalgae at sites distant from shore. Using environmental management accounting methods, the potential output of macroalgae cultivation and valorization (product- or energy-based) is being assessed based on the specific growth rates and methane yields achievable with the species Ulva intestinalis, Fucus vesiculosus and Palmaria palmata.

The balancing results for the status quo of the developed cultivation system show a positive outcome for a product-based valorization of the species Ulva intestinalis and a negative outcome for an energy-based valorization of all species investigated. Considering an optimum scenario providing an increase of growth rates and culture density, the balance of an energy-based valorization remains negative for all three species. However, the financial income by selling the cultivated macroalgae as a product sums up to a yearly amount of 460.869€ for Ulva intestinalis, 4.010€ for Fucus vesiculosus and 16.913€ for Palmaria palmata. Concluding, a product-based valorization seems promising – especially for the green algae Ulva intestinalis – when the productivity of the developed cultivation system is increased in accordance to the framework of the optimum scenario.
KW  - Makroalgen
KW  - Photobioreaktor
KW  - Biogas
KW  - Makroalgen
KW  - Photobioreaktorsystem
KW  - Biogasproduktion
Y1  - 2020
U6  - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:gbv:wim2-20200604-41774
ER  - 
TY  - THES
A1  - Weitze, Laura Katharina
T1  - Erweiterte Prozessbewertung von Biogasanlagen  unter Berücksichtigung organoleptischer Parameter und Erfahrungswissen
N2  - Landwirtschaftliche Biogasanlagen leisten mit ca. 9.300 Anlagen und einem Anteil von 5,3% an der Stromerzeugung, einen Beitrag zur Erzeugung Erneuer-barer Energien in Deutschland. Die Optimierung dieser Anlagen fördert die nachhaltige Bereitstellung von Strom, Wärme und BioErdgas. 
Das Ergebnis dieser Forschungsarbeit ist die Entwicklung eines mehrmethodi-schen Bewertungsansatzes zur Beschreibung der Qualität der Eingangs-substrate als Teil einer ganzheitlichen Prozessoptimierung. Dies gelingt durch die kombinierte Nutzung klassischer Analysesätze, der Nutzung organolepti-scher Parameter – der humansensorischen Sinnenprüfung – und der Integration von prozess- und substratspezifischem Erfahrungswissen. Anhand von halbtechnischen Versuchen werden Korrelationen und Kausalitäten zwi-schen chemisch-physikalischen, biologischen, organoleptischen und erfahrungsbezogenen Parametern erforscht. Die Entwicklung einer Fallbasis mit Hilfe des Fallbasierten Schließens, einer Form Künstlicher Intelligenz, zeigt das Entwicklungs- und Integrationspotenzial der Automatisierung auf, insbesondere auch im Hinblick auf neue Ansätze z.B. Industrie 4.0. Erste Lösungen zur Bewältigung der identifizierten Herausforderungen der mehrmethodischen Prozessbewertung werden vorgestellt. 
Abschließend wird ein Ausblick auf den weiteren Forschungsbedarf gegeben und die Übertragbarkeit des mehrmethodischen Bewertungsansatzes auf andere Anwendungsfelder z.B. Bioabfallbehandlung, Kläranlagen angeregt.
N2  - Agricultural biogas plants significantly contribute to the generation of renewable energies in Germany. Approx. 9,300 facilities account 5.3% of the total generated electricity in Germany. Optimization of these biogas plants will undoubtably promote the sustainable provision of electricity, heat and natural gas. 
This research study developed a multi-methodical assessment approach to de-scribe the quality of input substrates as part of a holistic process optimization. This is achieved by combination of conventional analysis, use of organoleptic parameters, integration of process- as well as substrate-specific experient ba-sed knowledge. Correlations and causalities between chemical-physical, biological, organoleptic and experiential parameters are explored. These inves-tigations based on semi-technical experiments.
Using case-based reasoning, a form of artificial intelligence, demonstrates the potential for development and integration of automation. Solving approaches to overcome the challenges of multi-methodical process assessment are presented. 
Finally, an outlook on further research needs is given. Furthermore, the trans-ferability of the multi-methodical assessment approach to other fields of application like bio-waste treatment or sewage treatment plants, is incited.
KW  - Biogasanlage
KW  - Erfahrungswissen
KW  - Maissilage
KW  - Optimierung
KW  - Biogas
KW  - Organoleptik
Y1  - 2019
U6  - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:gbv:wim2-20190129-38499
ER  - 
TY  - JOUR
A1  - Lahmer, Tom
T1  - FEM-Based determination of real and complex elastic, dielectric, and piezoelectric moduli in piezoceramic materials
JF  - IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control
N2  - We propose an enhanced iterative scheme for the precise reconstruction of piezoelectric material parameters from electric impedance and mechanical displacement measurements. It is based on finite-element simulations of the full three-dimensional piezoelectric equations, combined with an inexact Newton or nonlinear Landweber iterative inversion scheme. We apply our method to two piezoelectric materials and test its performance. For the first material, the manufacturer provides a full data set; for the second one, no material data set is available. For both cases, our inverse scheme, using electric impedance measurements as input data, performs well.
KW  - Finite-Elemente-Methode
KW  - Piezoelectric materials
KW  - Dielectric materials
KW  - Computational modeling
KW  - Frequency
KW  - Finite element methods
KW  - Manufacturing
KW  - Impedance measurement
KW  - Partial differential equations
KW  - Resonance
KW  - Resonanz
Y1  - 2008
U6  - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:gbv:wim2-20171030-36083
ER  - 
TY  - JOUR
A1  - Söbke, Heinrich
A1  - Lück, Andrea
T1  - Framing Algorithm-Driven Development of Sets of Objectives Using Elementary Interactions
JF  - Applied System Innovation
N2  - Multi-criteria decision analysis (MCDA) is an established methodology to support the decision-making of multi-objective problems. For conducting an MCDA, in most cases, a set of objectives (SOO) is required, which consists of a hierarchical structure comprised of objectives, criteria, and indicators. The development of an SOO is usually based on moderated development processes requiring high organizational and cognitive effort from all stakeholders involved. This article proposes elementary interactions as a key paradigm of an algorithm-driven development process for an SOO that requires little moderation efforts. Elementary interactions are self-contained information requests that may be answered with little cognitive effort. The pairwise comparison of elements in the well-known analytical hierarchical process (AHP) is an example of an elementary interaction. Each elementary interaction in the development process presented contributes to the stepwise development of an SOO. Based on the hypothesis that an SOO may be developed exclusively using elementary interactions (EIs), a concept for a multi-user platform is proposed. Essential components of the platform are a Model Aggregator, an Elementary Interaction Stream Generator, a Participant Manager, and a Discussion Forum. While the latter component serves the professional exchange of the participants, the first three components are intended to be automatable by algorithms. The platform concept proposed has been evaluated partly in an explorative validation study demonstrating the general functionality of the algorithms outlined. In summary, the platform concept suggested demonstrates the potential to ease SOO development processes as the platform concept does not restrict the application domain; it is intended to work with little administration moderation efforts, and it supports the further development of an existing SOO in the event of changes in external conditions. The algorithm-driven development of SOOs proposed in this article may ease the development of MCDA applications and, thus, may have a positive effect on the spread of MCDA applications.
KW  - Multikriteria-Entscheidung
KW  - Multikriterielle Entscheidungsanalyse
KW  - multi-criteria decision analysis;
KW  - set of objectives
KW  - crowdsourcing
KW  - platform
KW  - elementary interaction
KW  - OA-Publikationsfonds2022
Y1  - 2022
U6  - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:gbv:wim2-20220713-46624
UR  - https://www.mdpi.com/2571-5577/5/3/49
VL  - 2022
IS  - Volume 5, issue 3, article 49
SP  - 1
EP  - 20
PB  - MDPI
CY  - Basel
ER  - 
TY  - JOUR
A1  - Söbke, Heinrich
A1  - Lück, Andrea
T1  - Framing Algorithm-Driven Development of Sets of Objectives Using Elementary Interactions
JF  - Applied System Innovation
N2  - Multi-criteria decision analysis (MCDA) is an established methodology to support the decision-making of multi-objective problems. For conducting an MCDA, in most cases, a set of objectives (SOO) is required, which consists of a hierarchical structure comprised of objectives, criteria, and indicators. The development of an SOO is usually based on moderated development processes requiring high organizational and cognitive effort from all stakeholders involved. This article proposes elementary interactions as a key paradigm of an algorithm-driven development process for an SOO that requires little moderation efforts. Elementary interactions are self-contained information requests that may be answered with little cognitive effort. The pairwise comparison of elements in the well-known analytical hierarchical process (AHP) is an example of an elementary interaction. Each elementary interaction in the development process presented contributes to the stepwise development of an SOO. Based on the hypothesis that an SOO may be developed exclusively using elementary interactions (EIs), a concept for a multi-user platform is proposed. Essential components of the platform are a Model Aggregator, an Elementary Interaction Stream Generator, a Participant Manager, and a Discussion Forum. While the latter component serves the professional exchange of the participants, the first three components are intended to be automatable by algorithms. The platform concept proposed has been evaluated partly in an explorative validation study demonstrating the general functionality of the algorithms outlined. In summary, the platform concept suggested demonstrates the potential to ease SOO development processes as the platform concept does not restrict the application domain; it is intended to work with little administration moderation efforts, and it supports the further development of an existing SOO in the event of changes in external conditions. The algorithm-driven development of SOOs proposed in this article may ease the development of MCDA applications and, thus, may have a positive effect on the spread of MCDA applications.
KW  - Operations Research
KW  - multi-criteria decision analysis
KW  - elementary interaction
KW  - set of objectives
KW  - crowdsourcing
KW  - platform
Y1  - 2022
U6  - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:gbv:wim2-20220524-46469
UR  - https://www.mdpi.com/2571-5577/5/3/49
VL  - 2022
IS  - Volume 5, issue 49, article 49
SP  - 1
EP  - 21
PB  - MDPI
CY  - Basel
ER  - 
TY  - THES
A1  - Habtemariam, Abinet Kifle
T1  - Generalized Beam Theory for the analysis of thin-walled circular pipe members
N2  - The detailed structural analysis of thin-walled circular pipe members often requires the use of a shell or solid-based finite element method. Although these methods provide a very good approximation of the deformations, they require a higher degree of discretization which causes high computational costs. On the other hand, the analysis of thin-walled circular pipe members based on classical beam theories is easy to implement and needs much less computation time, however, they are limited in their ability to approximate the deformations as they cannot consider the deformation of the cross-section.

This dissertation focuses on the study of the Generalized Beam Theory (GBT) which is both accurate and efficient in analyzing thin-walled members. This theory is based on the separation of variables in which the displacement field is expressed as a combination of predetermined deformation modes related to the cross-section, and unknown amplitude functions defined on the beam's longitudinal axis. Although the GBT was initially developed for long straight members, through the consideration of complementary deformation modes, which amend the null transverse and shear membrane strain assumptions of the classical GBT, problems involving short members, pipe bends, and geometrical nonlinearity can also be analyzed using GBT. In this dissertation, the GBT formulation for the analysis of these problems is developed and the application and capabilities of the method are illustrated using several numerical examples. Furthermore, the displacement and stress field results of these examples are verified using an equivalent refined shell-based finite element model.

The developed static and dynamic GBT formulations for curved thin-walled circular pipes are based on the linear kinematic description of the curved shell theory. In these formulations, the complex problem in pipe bends due to the strong coupling effect of the longitudinal bending, warping and the cross-sectional ovalization is handled precisely through the derivation of the coupling tensors between the considered GBT deformation modes. Similarly, the geometrically nonlinear GBT analysis is formulated for thin-walled circular pipes based on the nonlinear membrane kinematic equations. Here, the initial linear and quadratic stress and displacement tangent stiffness matrices are built using the third and fourth-order GBT deformation mode coupling tensors.

Longitudinally, the formulation of the coupled GBT element stiffness and mass matrices are presented using a beam-based finite element formulation. Furthermore, the formulated GBT elements are tested for shear and membrane locking problems and the limitations of the formulations regarding the membrane locking problem are discussed.
N2  - Eine detaillierte Strukturanalyse dünnwandiger, kreisförmiger Rohrelemente erfordert oft die Verwendung von Schalenelementen in der Finite Elemente Methode. Diese Methode ermöglicht eine sehr gute Approximation des Verformungszustandes, erfordert jedoch einen hohen Grad der Diskretisierung, welcher wiederum einen hohen Rechenaufwand verursacht. Eine alternative Methode hierzu basiert auf klassischen Balkentheorien, welche eine einfache Modellierung ermöglichen und wesentlich geringeren Rechenaufwand erfordern. Diese weisen jedoch Einschränkungen bei der Approximation von Verformungen auf, da Querschnittsverformungen nicht berücksichtigt werden können.

Schwerpunkt dieser Dissertation ist eine Untersuchung der Verallgemeinerten Technischen Biegetheorie (VTB), die sowohl eine genaue als auch eine effiziente Analyse von dünnwandigen Tragwerkselementen ermöglicht. Diese Theorie basiert auf einer Trennung der Variablen, in der das Verschiebungsfeld als eine Kombination von vorbestimmten Verformungsmoden der Querschnitts und unbekannten Amplitudenfunktionen in Längsrichtung ausgedrückt wird. Obwohl die VTB ursprünglich für lange, gerade Elemente entwickelt wurde, können durch die Berücksichtigung komplementärer Verformungsmoden, welche die Null-Annahmen der klassischen VTB für Quer- und Schubmembrandehnung abändern, Probleme mit kurzen Elementen, Rohrbögen und geometrischer Nichtlinearität analysiert werden. In dieser Dissertation wird die VTB-Formulierung für die Analyse dieser Probleme entwickelt. Die Anwendung und Möglichkeiten der Methode werden anhand mehrerer numerischer Beispiele veranschaulicht, deren Verschiebungs- und Spannungsfeldanalysen anhand eines äquivalenten, verfeinerten, schalenbasierten Finite-Elemente-Modells verifiziert werden.

Die entwickelten statischen und dynamischen VTB-Formulierungen für Rohrbogenelemente basieren auf der linearen kinematischen Beschreibung der Theorie gekrümmter Schalen. In diesen Formulierungen wird das komplexe Problem in Rohrbögen aufgrund des starken Kopplungseffekts der Längsbiegung, der Verwölbung und der Querschnittsovalisierung durch die Herleitung der Kopplungstensoren zwischen den betrachteten VTB-Verformungsmoden präzise behandelt. In ähnlicher Weise wird die geometrisch nichtlineare VTB-Analyse für gerade Rohrelemente auf der Grundlage der nichtlinearen kinematischen Membrangleichungen formuliert. Die anfänglichen linearen und quadratischen Spannungs- und Verschiebungs-Tangentensteifigkeitsmatrizen werden dabei unter Verwendung der VTB-Kopplungstensoren dritter und vierter Ordnung aufgebaut.

In Längsrichtung wird die Formulierung der gekoppelten VTB-Element-Steifigkeits- und Massenmatrizen unter Verwendung einer balkenbasierten Finite-Elemente Formulierung dargestellt. Weiterhin werden die VTB-Elemente auf Schub- und Membran-Locking-Probleme getestet und die Einschränkungen der Formulierungen bezüglich des Membran-Locking-Problems diskutiert.
T3  - ISM-Bericht // Institut für Strukturmechanik, Bauhaus-Universität Weimar - 2022,2 
KW  - Finite-Elemente-Methode
KW  - Dynamische Analyse
KW  - Generalized Beam Theory (GBT)
KW  - Finite Element Method
KW  - Dynamic Analysis
KW  - Geometrically nonlinear analysis
KW  - Curved thin-walled circular pipes
Y1  - 2022
U6  - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:gbv:wim2-20220127-45723
ER  - 
TY  - JOUR
A1  - Mehling, Simon
A1  - Schnabel, Tobias
A1  - Londong, Jörg
T1  - Investigation on Energetic Efficiency of Reactor Systems for Oxidation of Micro-Pollutants by Immobilized Active Titanium Dioxide Photocatalysis
JF  - Water
N2  - In this work, the degradation performance for the photocatalytic oxidation of eight micropollutants (amisulpride, benzotriazole, candesartan, carbamazepine, diclofenac, gabapentin, methlybenzotriazole, and metoprolol) within real secondary effluent was investigated using three different reactor designs. For all reactor types, the influence of irradiation power on its reaction rate and energetic efficiency was investigated. Flat cell and batch reactor showed almost similar substance specific degradation behavior. Within the immersion rotary body reactor, benzotriazole and methylbenzotriazole showed a significantly lower degradation affinity. The flat cell reactor achieved the highest mean degradation rate, with half time values ranging from 5 to 64 min with a mean of 18 min, due to its high catalysts surface to hydraulic volume ratio. The EE/O values were calculated for all micro-pollutants as well as the mean degradation rate constant of each experimental step. The lowest substance specific energy per order (EE/O) values of 5 kWh/m3 were measured for benzotriazole within the batch reactor. The batch reactor also reached the lowest mean values (11.8–15.9 kWh/m3) followed by the flat cell reactor (21.0–37.0 kWh/m3) and immersion rotary body reactor (23.9–41.0 kWh/m3). Catalyst arrangement and irradiation power were identified as major influences on the energetic performance of the reactors. Low radiation intensities as well as the use of submerged catalyst arrangement allowed a reduction in energy demand by a factor of 3–4. A treatment according to existing treatment goals of wastewater treatment plants (80% total degradation) was achieved using the batch reactor with a calculated energy demand of 7000 Wh/m3.
KW  - Fotokatalyse
KW  - Abwasserreinigung
KW  - photocatalysis
KW  - micro-pollutant treatment
KW  - titanium dioxid
KW  - reactor design
KW  - energy per order
KW  - OA-Publikationsfonds2022
Y1  - 2022
U6  - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:gbv:wim2-20220912-47130
UR  - https://www.mdpi.com/2073-4441/14/17/2681
VL  - 2022
IS  - Volume 14, issue 7, article 2681
SP  - 1
EP  - 15
PB  - MDPI
CY  - Basel
ER  -