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- Beton (3)
- Finite-Elemente-Methode (3)
- Strukturmechanik (3)
- Bruch (2)
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- Building Information Modeling (2)
- Rice husk ash (2)
- Werkstoffkunde (2)
- crack (2)
- Abbiegespur (1)
The planning process in civil engineering is highly complex and not manageable in its entirety.
The state of the art decomposes complex tasks into smaller, manageable sub-tasks. Due to the close interrelatedness of the sub-tasks, it is essential to couple them. However, from a software engineering point of view, this is quite challenging to do because of the numerous incompatible software applications on the market. This study is concerned with two main objectives: The first is the generic formulation of coupling strategies in order to support engineers in the implementation and selection of adequate coupling strategies. This has been achieved by the use of a coupling pattern language combined with a four-layered, metamodel architecture, whose applicability has been performed on a real coupling scenario. The second one is the quality assessment of coupled software. This has been developed based on the evaluated schema mapping. This approach has been described using mathematical expressions derived from the set theory and graph theory by taking the various mapping patterns into account. Moreover, the coupling quality has been evaluated within the formalization process by considering the uncertainties that arise during mapping and has resulted in global quality values, which can be used by the user to assess the exchange. Finally, the applicability of the proposed approach has been shown using an engineering case study.
Das Bauwesen hat sich in den letzten Jahren durch die Globalisierung des Marktes verbunden mit einer verstärkten Nutzung moderner Technologien stark gewandelt. Die Planung und die Durchführung von Bauvorhaben werden zunehmend komplexer und sind mit erhöhten Risiken verbunden. Geld- und Zeitressourcen werden bei einem immer härter werdenden Konkurrenzkampf knapper.
Das Projektmanagement stellt Lösungsansätze bereit, um Bauvorhaben auch unter erschwerten Bedingungen und erhöhten Risiken erfolgreich zum Abschluss zu bringen. Dabei hat ein systematisches Risikomanagement beginnend bei der Projektentwicklung bis zum Projektabschluss eine für den Projekterfolg entscheidende Bedeutung.
Ziel der Arbeit ist es, eine quantitative Risikoerfassung für Projektmanager als professionelle Bauherrenvertretung und die Simulation der Risikoauswirkungen auf den Verlauf eines Projektes während der Planungs- und Bauphase zu ermöglichen. Mit Hilfe eines abstrakten Modells soll eine differenzierte, praxisnahe Simulation durchführbar sein, die die verschiedenen Arten der Leistungs- und Kostenentstehung widerspiegelt. Parallel dazu soll die Beschreibung von Risiken so abstrahiert werden, dass beliebige Risiken quantitativ erfassbar und anschließend ihre Auswirkungen inklusive mögliche Gegenmaßnahmen in das Modell integrierbar sind.
Anhand zweier Beispiele werden die unterschiedlichen Einsatzmöglichkeiten der quantitativen Erfassung von Projektrisiken und der anschließenden Simulation ihrer Auswirkungen aufgezeigt. Bei dem ersten Beispiel, einem realen, bereits abgeschlossenen Schieneninfrastrukturprojekt, wird die Wirksamkeit einer vorbeugenden Maßnahme gegen ein Projektrisiko untersucht. Im zweiten Beispiel wird ein Planspielansatz zur praxisnahen Aus- und Weiterbildung von Projektmanagern entwickelt. Inhalt des Planspiels ist die Planung und Errichtung eines privatfinanzierten, öffentlichen Repräsentationsbaus mit teilweiser Fremdnutzung.
Das Hauptziel der Arbeit war es zu klären, ob alkalihaltige Enteisungsmittel eine Alkali-Kieselsäure-Reaktion (AKR) auslösen und/oder beschleunigen können und was die dabei ggf. zugrunde liegenden Mechanismen sind. Die Untersuchungen dazu ergaben, dass die auf Verkehrsflächen eingesetzten alkalihaltigen Enteisungsmittel auf Basis von Natriumchlorid (Fahrbahndecken) bzw. auf Basis der Alkaliacetate und -formiate (Flugbetriebsflächen) den Ablauf einer AKR in Betonen mit alkalireaktiven Gesteinskörnungen auslösen und mitunter stark beschleunigen können. Dabei nimmt die AKR-fördernde Wirkung der Enteisungsmittel in der Reihenfolge Natriumchlorid - Alkaliacetate - Alkaliformiate erheblich zu.
Es zeigte sich, dass im Fall der Alkaliacetate und -formiate nicht allein die Zufuhr von Alkalien von Bedeutung ist, sondern dass es außerdem zu einer Freisetzung von OH-Ionen aus dem Portlandit und folglich zu einem Anstieg des pH-Wertes in der Porenlösung kommt. Dadurch wird der Angriff auf alkalireaktives SiO2 in Gesteinskörnungen verstärkt und der Ablauf einer AKR beschleunigt. Unter äußerer NaCl-Zufuhr kommt es hingegen nicht zu einem Anstieg des pH-Wertes, was der Grund für die weniger stark AKR-fördernde Wirkung von NaCl ist. Von Bedeutung sind hier die zugeführten Na-Ionen und offenbar ein sich andeutender, direkter Einfluss von NaCl auf das SiO2-Löseverhalten. Sind pH-Wert und Na-Konzentration in der Porenlösung ausreichend hoch, wird sich thermodynamisch bedingt AKR-Gel bilden. Die Bildung von FRIEDEL’schem Salz ist dabei nur eine Begleiterscheinung, aber keine Voraussetzung für den Ablauf einer AKR unter äußerer NaCl-Zufuhr.
Es zeigte sich weiter, dass sich mit der FIB-Klimawechsellagerung als Performance-Prüfung das AKR-Schädigungspotential von Betonen für Fahrbahndecken und Flugbetriebsflächen zuverlässig beurteilen lässt. Die Vorteile der FIB-Klimawechsellagerung liegen in der Prüfung kompletter, projektspezifischer Betonzusammensetzungen unter Beachtung aller praxisrelevanten klimatischen Einwirkungen und vor allem in der Berücksichtigung einer äußeren Alkalizufuhr. Innerhalb von 36 Wochen kann das AKR-Schädigungspotential einer Betonzusammensetzung für eine Nutzungsdauer von 20-30 Jahren in der Praxis sicher beurteilt werden.
Die Arbeit zeigt die wesentlichen Gründe auf, warum betahalbhydratreiche Niederbranntgipsbinder (industriell als Stuckgips bezeichnet) oft sehr unterschiedliche Eigenschaften aufweisen.
Der Anteil an Halbhydrat, welches aus dem stark hygroskopischen Anhydrit III (A III) durch die Reaktion mit Luftfeuchtigkeit entsteht, stellt einen erheblichen, bislang vollkommen unbeachteten Einfluss dar. Dieses Halbhydrat aus A III zeigt andere Oberflächeneigenschaften und ein Reaktionsverhalten, das von frisch gebranntem Betahalbhydrat abweicht.
Es zeigt sich, wie weitreichend der Einfluss physiko-chemischer Oberflächenprozesse wie Adsorption und Kondensation ist. Hierdurch wird nicht nur die Oberflächenenergie der Partikel abgebaut, sondern auch eine Verminderung der Hydratationswärme verursacht. Somit wirken sich physikalische Vorgänge thermodynamisch aus. Einwirkende und resultierende Parameter einer Alterung wirken wie folgt äußerst komplex zusammen:
Die dominierenden Bindemitteleigenschaften Abbindeverhalten und Wasseranspruch verändern sich durch eine Alterung sowohl aufgrund der Phasenumwandlungen als auch infolge der Veränderungen der Kristallite. Ebenso einflussreich ist die Veränderung der Oberflächencharakteristik. Die Auswirkung der Alterung auf die Reaktivität geht deutlich über den Abbau von Anhydrit III, die Dezimierung von abbindefähigem Material und die beschleunigende Wirkung von Alterungsdihydrat hinaus. Das Wachstum der Kristallite von Halbhydrat und die Verringerung der inneren Energie sowie die energetisch günstige spontane Beladung der Kristallgitterkanäle kleinster Anhydrit III-Kristallite mit dampfförmigem Wasser müssen als maßgebliche Ursachen für die Abnahme der Reaktivität infolge der Alterung herausgestellt werden. Die Abnahme der spezifischen Oberfläche und der Oberflächenenergie wirken sich außerdem auf den Lösungs- und den Hydratationsprozess aus. Der auf der Oberfläche von Anhydrit III kristallisierte Anhydrit II wirkt sich auch nach der Umwandlung von A III in Halbhydrat lösungshemmend aus. Infolge der alterungsbedingten Dihydratbildung, die bei anhaltender Feuchteeinwirkung einsetzt, wird diese Wirkung aufgehoben bzw. vermindert. Obgleich Dihydrat für seinen Beschleunigungseffekt bekannt ist, entfaltet Alterungsdihydrat infolge seiner besonderen Ausbildung innerhalb der wenige Moleküllagen umfassenden Kondenswasserschicht nur eine geringe keimbildende Wirkung.
Eine wesentliche Erkenntnis betrifft den Bindungscharakter des Überstöchiometrischen Wassers. Diesbezüglich ist eine rein physikalische Bindung nachweisbar. Das in der Arbeit als stärker adsorptiv gebunden bezeichnete Wasser kommt neben der Freien Feuchte ausschließlich bei Anwesenheit von Halbhydrat vor. Dieser Zusammenhang wird erstmalig hergestellt und mit Hilfe der kristallchemisch bedingten höheren Oberflächenenergie von Halbhydrat erklärt.
In dieser Arbeit werden die Ergebnisse von experimentellen Untersuchungen an unbewehrten und bewehrten modifizierten Betonen unter monoton steigender Belastung bis zum Bruch, einfacher Kurzzeitbelastung im Grenzbereich der Tragfähigkeit und mehrfach wiederholter Belastung mit kontinuierlicher Be- und Entlastungsgeschwindigkeit vorgestellt und ausgewertet. Für die Modifizierung der Betone wurden zwei grundsätzliche Vorgehens¬weisen angewendet: die Variation der Gesteinskörnung und die Modifizierung der Bindemittelphase mit thermoplastischen Polymeren. Die Auswirkungen der Modifikationen auf die Festigkeitseigenschaften und das Formänderungsverhalten des Betons bei Kurzzeitbelastung waren dabei von besonderem Interesse.
Die beobachteten Veränderungen der Festbetoneigenschaften sowie der nichtlineare Zu-sammenhang zwischen den elastischen und nichtelastischen Verformungsanteilen signali-sieren, dass derartige Modifizierungen das Verformungs- und Bruchverhalten von Beton sig-nifikant beeinflussen und somit beim Nachweis der Tragfähigkeit und Gebrauchstauglichkeit berücksichtigt werden müssen. Neben der Evaluierung des beanspruchungsabhängigen Formänderungsverhaltens werden die etablierten Ansätze zur Beschreibung der Gefügezu-standsbereiche bei Druckbelastung weiter entwickelt, so dass die Übergänge zwischen den Bereichen exakt ermittelt und die Ausprägung der Bereiche quantifiziert werden können. Damit ist ein genauerer Vergleich der durch die Modifizierungen hervorgerufenen Verände-rungen möglich.
The present thesis studies the effects of rice husk ash (RHA) as a pozzolanic admixture and the combination of RHA and ground granulated blast-furnace slag (GGBS) on properties of ultra-high performance concrete (UHPC). The ultimate purpose of this study is to replace completely silica fume (SF) and partially Portland cement by RHA and GGBS to achieve sustainable UHPC. To reach this aim, characteristics of RHA in dependence of grinding period, especially its pozzolanic reactivity in saturated Ca(OH)2 solution and in a cementitious system at a very low water binder ration (w/b) were assessed. The influences of RHA on compatibility between superplasticizer and binder, workability, compressive strength, shrinkage, internal relative humidity, microstructure and durability of UHPC were also evaluated. Furthermore, synergic effects of RHA and GGBS on the properties of UHPC were investigated to produce more sustainable UHPC. Finally, various heat treatments were applied to study the properties of UHPC under these conditions. All the characteristics of these UHPCs containing RHA were compared to those of mixtures containing SF.
A more careful consideration of food waste is needed for planning the urban environment. The research signals links between the organization of individuals, the built environment and food waste management through a study conducted in Mexico. It recognizes the different scales within which solid waste management operates, explores food waste production at household levels, and investigates the urban circumstances that influence its management. This is based on the idea that sustainable food waste management in cities requires a constellation of processes through which a ‘people centered’ approach offers added value to technical and biological facts. This distinction addresses how urban systems react to waste and what behavioral and structural factors affect current sanitary practices in Mexico. Food waste is a resource-demanding item, which makes for a considerable amount of refuse being disposed of in landfills in developing cities. The existing data shortage on waste generation at household levels debilitates implementation strategies and there is a need for more contextual knowledge associated with waste. The evidence-based study includes an explorative phase on the culture of waste management and a more in-depth examination of domestic waste composition. Mixed data collection tools including a household based survey, a food waste diary and weighing recording system were developed to enquire into the daily practices of waste disposal in households. The contrasting urban environment of Mexico City Metropolitan Area holds indistinctive boundaries between the core and the periphery, which hinder the implementation of integrated environmental plans. External determinants are different modes of urban transformation and internal determinants are building features and their consolidation processes. At the household level, less and more affluents groups responded differently to external environmental stressors. A targeted planning proposition is required for each group. Local alternative waste management is more likely to be implement in less affluent contexts. Further, more effective demand-driven service delivery implies better integration between the formal and informal sectors. The results show that efforts toward securing long-term changes in Mexico and other cities with similar circumstances require creating synergy between education, building consolidation, local infrastructure and social engagement.
Nanostructured materials are extensively applied in many fields of material science for new industrial applications, particularly in the automotive, aerospace industry due to their exceptional physical and mechanical properties. Experimental testing of nanomaterials is expensive, timeconsuming,challenging and sometimes unfeasible. Therefore,computational simulations have been employed as alternative method to predict macroscopic material properties. The behavior of polymeric nanocomposites (PNCs) are highly complex.
The origins of macroscopic material properties reside in the properties and interactions taking place on finer scales. It is therefore essential to use multiscale modeling strategy to properly account for all large length and time scales associated with these material systems, which across many orders of magnitude. Numerous multiscale models of PNCs have been established, however, most of them connect only two scales. There are a few multiscale models for PNCs bridging four length scales (nano-, micro-, meso- and macro-scales). In addition, nanomaterials are stochastic in nature and the prediction of macroscopic mechanical properties are influenced by many factors such as fine-scale features. The predicted mechanical properties obtained by traditional approaches significantly deviate from the measured values in experiments due to neglecting uncertainty of material features. This discrepancy is indicated that the effective macroscopic properties of materials are highly sensitive to various sources of uncertainty, such as loading and boundary conditions and material characteristics, etc., while very few stochastic multiscale models for PNCs have been developed. Therefore, it is essential to construct PNC models within the framework of stochastic modeling and quantify the stochastic effect of the input parameters on the macroscopic mechanical properties of those materials.
This study aims to develop computational models at four length scales (nano-, micro-, meso- and macro-scales) and hierarchical upscaling approaches bridging length scales from nano- to macro-scales. A framework for uncertainty quantification (UQ) applied to predict the mechanical properties
of the PNCs in dependence of material features at different scales is studied. Sensitivity and uncertainty analysis are of great helps in quantifying the effect of input parameters, considering both main and interaction effects, on the mechanical properties of the PNCs. To achieve this major
goal, the following tasks are carried out:
At nano-scale, molecular dynamics (MD) were used to investigate deformation mechanism of glassy amorphous polyethylene (PE) in dependence of temperature and strain rate. Steered molecular dynamics (SMD)were also employed to investigate interfacial characteristic of the PNCs.
At mico-scale, we developed an atomistic-based continuum model represented by a representative volume element (RVE) in which the SWNT’s properties and the SWNT/polymer interphase are modeled at nano-scale, the surrounding polymer matrix is modeled by solid elements. Then, a two-parameter model was employed at meso-scale. A hierarchical multiscale approach has been developed to obtain the structure-property relations at one length scale and transfer the effect to the higher length
scales. In particular, we homogenized the RVE into an equivalent fiber.
The equivalent fiber was then employed in a micromechanical analysis (i.e. Mori-Tanaka model) to predict the effective macroscopic properties of the PNC. Furthermore, an averaging homogenization process was also used to obtain the effective stiffness of the PCN at meso-scale.
Stochastic modeling and uncertainty quantification consist of the following ingredients:
- Simple random sampling, Latin hypercube sampling, Sobol’ quasirandom sequences, Iman and Conover’s method (inducing correlation in Latin hypercube sampling) are employed to generate independent and dependent sample data, respectively.
- Surrogate models, such as polynomial regression, moving least squares (MLS), hybrid method combining polynomial regression and MLS, Kriging regression, and penalized spline regression, are employed as an approximation of a mechanical model. The advantage of the surrogate models is the high computational efficiency and robust as they can be constructed from a limited amount of available data.
- Global sensitivity analysis (SA) methods, such as variance-based methods for models with independent and dependent input parameters, Fourier-based techniques for performing variance-based methods and partial derivatives, elementary effects in the context of local SA, are used to quantify the effects of input parameters and their interactions on the mechanical properties of the PNCs. A bootstrap technique is used to assess the robustness of the global SA methods with respect to their performance.
In addition, the probability distribution of mechanical properties are determined by using the probability plot method. The upper and lower bounds of the predicted Young’s modulus according to 95 % prediction intervals were provided.
The above-mentioned methods study on the behaviour of intact materials. Novel numerical methods such as a node-based smoothed extended finite element method (NS-XFEM) and an edge-based smoothed phantom node method (ES-Phantom node) were developed for fracture problems. These methods can be used to account for crack at macro-scale for future works. The predicted mechanical properties were validated and verified. They show good agreement with previous experimental and simulations results.
One major research focus in the Material Science and Engineering Community in the past decade has been to obtain a more fundamental understanding on the phenomenon 'material failure'. Such an understanding is critical for engineers and scientists developing new materials with higher strength and toughness, developing robust designs against failure, or for those concerned with an accurate estimate of a component's design life. Defects like cracks and dislocations evolve at
nano scales and influence the macroscopic properties such as strength, toughness and ductility of a material. In engineering applications, the global response of the system is often governed by the behaviour at the smaller length scales. Hence, the sub-scale behaviour must be computed accurately for good predictions of the full scale behaviour.
Molecular Dynamics (MD) simulations promise to reveal the fundamental mechanics of material failure by modeling the atom to atom interactions. Since the atomistic dimensions are of the order of Angstroms ( A), approximately 85 billion atoms are required to model a 1 micro- m^3 volume of Copper. Therefore, pure atomistic models are prohibitively expensive with everyday engineering computations involving macroscopic cracks and shear bands, which are much larger than the atomistic length and time scales. To reduce the computational effort, multiscale methods are required, which are able to couple a continuum description of the structure with an atomistic description. In such paradigms, cracks and dislocations are explicitly modeled at the atomistic scale, whilst a self-consistent continuum model elsewhere.
Many multiscale methods for fracture are developed for "fictitious" materials based on "simple" potentials such as the Lennard-Jones potential. Moreover, multiscale methods for evolving cracks are rare. Efficient methods to coarse grain the fine scale defects are missing. However, the existing multiscale methods for fracture do not adaptively adjust the fine scale domain as the crack propagates. Most methods, therefore only "enlarge" the fine scale domain and therefore drastically increase computational cost. Adaptive adjustment requires the fine scale domain to be refined and coarsened. One of the major difficulties in multiscale methods for fracture is to up-scale fracture related material information from the fine scale to the coarse scale, in particular for complex crack problems. Most of the existing approaches therefore were applied to examples with comparatively few macroscopic cracks.
Key contributions
The bridging scale method is enhanced using the phantom node method so that cracks can be modeled at the coarse scale. To ensure self-consistency in the bulk, a virtual atom cluster is devised providing the response of the intact material at the coarse scale. A molecular statics model is employed in the fine scale where crack propagation is modeled by naturally breaking the bonds. The fine scale and coarse scale models are coupled by enforcing the displacement boundary conditions on the ghost atoms. An energy criterion is used to detect the crack tip location. Adaptive refinement and coarsening schemes are developed and implemented during the crack propagation. The results were observed to be in excellent agreement with the pure atomistic simulations. The developed multiscale method is one of the first adaptive multiscale method for fracture.
A robust and simple three dimensional coarse graining technique to convert a given atomistic region into an equivalent coarse region, in the context of multiscale fracture has been developed. The developed method is the first of its kind. The developed coarse graining technique can be applied to identify and upscale the defects like: cracks, dislocations and shear bands. The current method has been applied to estimate the equivalent coarse scale models of several complex fracture patterns arrived from the pure atomistic simulations. The upscaled fracture pattern agree well with the actual fracture pattern. The error in the potential energy of the pure atomistic and the coarse grained model was observed to be acceptable.
A first novel meshless adaptive multiscale method for fracture has been developed. The phantom node method is replaced by a meshless differential reproducing kernel particle method. The differential reproducing kernel particle method is comparatively more expensive but allows for a more "natural" coupling between the two scales due to the meshless interpolation functions. The higher order continuity is also beneficial. The centro symmetry parameter is used to detect the crack tip location. The developed multiscale method is employed to study the complex crack propagation. Results based on the meshless adaptive multiscale method were observed to be in excellent agreement with the pure atomistic simulations.
The developed multiscale methods are applied to study the fracture in practical materials like Graphene and Graphene on Silicon surface. The bond stretching and the bond reorientation were observed to be the net mechanisms of the crack growth in Graphene. The influence of time step on the crack propagation was studied using two different time steps. Pure atomistic simulations of fracture in Graphene on Silicon surface are presented. Details of the three dimensional multiscale method to study the fracture in Graphene on Silicon surface are discussed.
The main objective of this thesis is to investigate the characteristics of rice husk ash RHA) and then its behaviour in self-compacting high performance concrete (SCHPC) with respects to rheological properties, hydration and microstructure development and alkali silica reaction, in comparison with silica fume (SF). The main results show that the RHA is a macro-mesoporous amorphous siliceous material with a very high silica content comparable with SF. The pore size distribution is the most important parameter of RHA besides amorphous silica content. This parameter affects pore volume, specific surface area, and thus the water demand and the pozzolanic reactivity of RHA and its behaviour in SCHPC. The incorporation of RHA decreases filling and passing abilities, but significantly increases plastic viscosity and segregation resistance of SCHPC. Therefore, RHA can be used as a viscosity modifying admixture for SCHPC. The incorporation of RHA increases the superplasticizer adsorption, the superplasticizer saturation dosage, yield stress and plastic viscosity of mortar. Fresh mortar formulated from SCHPC is a shear-thickening material. The incorporation of RHA/SF ecreases the shearthickening degree. The incorporation of RHA/SF increases the degree of cement hydration. SF appears more effective at 3 days possibly due to the better nucleation site effect, whereas RHA dominates at the later ages possibly due to the internal water curing effect. The incorporation of RHA/SF increases the degree of C3S hydration, particularly the C3S hydration rate from 3 to 14 days. The pozzolanic reaction takes place outside and inside RHA particles.
The internal pozzolanic eaction products consolidate the pores inside RHA particles rather than contribute to the pore refinement in the cement matrix. In the presence of the high alkali concentration, RHA particles act as microreactive aggregates and react with alkali hydroxide to generate the expansive alkali silica reaction products. Increasing the particle size and temperature increases the alkali silica reactivity of RHA. The mechanism for the successive pozzolanic and alkali silica reactions of RHA is theorized. Additionally, a new simple
mix design method is proposed for SCHPC containing various supplementary cementitious materials, i.e. RHA, SF, fly ash and limestone powder.