Refine
Document Type
- Conference Proceeding (38)
- Article (22)
- Doctoral Thesis (16)
- Part of a Book (10)
- Bachelor Thesis (8)
- Master's Thesis (3)
- Book (2)
- Periodical (2)
- Study Thesis (2)
- Habilitation (1)
Institute
- Graduiertenkolleg 1462 (19)
- In Zusammenarbeit mit der Bauhaus-Universität Weimar (19)
- Institut für Strukturmechanik (ISM) (18)
- Universitätsbibliothek (11)
- Professur Bauphysik (8)
- Professur Informatik in der Architektur (6)
- F. A. Finger-Institut für Baustoffkunde (FIB) (4)
- An-Institute (2)
- Institut für Europäische Urbanistik (2)
- Professur Bauchemie und Polymere Werkstoffe (2)
Keywords
- Angewandte Mathematik (50)
- Angewandte Informatik (36)
- Computerunterstütztes Verfahren (36)
- Strukturmechanik (14)
- Elektronisches Buch (7)
- Bauphysik (3)
- Bibliothek (3)
- E-Book-Reader (3)
- Urheberrecht (3)
- Architektur (2)
Year of publication
- 2012 (105) (remove)
Radiodiskussion bei bauhaus.fm am 5. November 2012.
Harald S. Liehr ist Lektor und Leiter der Niederlassung Weimar des Böhlau-Verlags (Wien / Köln / Weimar), Dr. Frank Simon-Ritz ist Direktor der Universitätsbibliothek der Bauhaus-Universität Weimar.
Die Fragen stellten René Tauschke und Jean-Marie Schaldach.
New foundations for geometric algebra are proposed based upon the existing isomorphisms between geometric and matrix algebras. Each geometric algebra always has a faithful real matrix representation with a periodicity of 8. On the other hand, each matrix algebra is always embedded in a geometric algebra of a convenient dimension. The geometric product is also isomorphic to the matrix product, and many vector transformations such as rotations, axial symmetries and Lorentz transformations can be written in a form isomorphic to a similarity transformation of matrices. We collect the idea that Dirac applied to develop the relativistic electron equation when he took a basis of matrices for the geometric algebra instead of a basis of geometric vectors. Of course, this way of understanding the geometric algebra requires new definitions: the geometric vector space is defined as the algebraic subspace that generates the rest of the matrix algebra by addition and multiplication; isometries are simply defined as the similarity transformations of matrices as shown above, and finally the norm of any element of the geometric algebra is defined as the nth root of the determinant of its representative matrix of order n×n. The main idea of this proposal is an arithmetic point of view consisting of reversing the roles of matrix and geometric algebras in the sense that geometric algebra is a way of accessing, working and understanding the most fundamental conception of matrix algebra as the algebra of transformations of multilinear quantities.
We briefly review and use the recent comprehensive research on the manifolds of square roots of −1 in real Clifford geometric algebras Cl(p,q) in order to construct the Clifford Fourier transform. Basically in the kernel of the complex Fourier transform the complex imaginary unit j is replaced by a square root of −1 in Cl(p,q). The Clifford Fourier transform (CFT) thus obtained generalizes previously known and applied CFTs, which replaced the complex imaginary unit j only by blades (usually pseudoscalars) squaring to −1. A major advantage of real Clifford algebra CFTs is their completely real geometric interpretation. We study (left and right) linearity of the CFT for constant multivector coefficients in Cl(p,q), translation (x-shift) and modulation (w -shift) properties, and signal dilations. We show an inversion theorem. We establish the CFT of vector differentials, partial derivatives, vector derivatives and spatial moments of the signal. We also derive Plancherel and Parseval identities as well as a general convolution theorem.
Wissen wer wo wohnt
(2012)
In cities people live together in neighbourhoods. Here they can find the infrastructure they need, starting with shops for the daily purpose to the life-cycle based infrastructures like kindergartens or nursing homes. But not all neighbourhoods are identical. The infrastructure mixture varies from neighbourhood to neighbourhood, but different people have different needs which can change e.g. based on the life cycle situation or their affiliation to a specific milieu. We can assume that a person or family tries to settle in a specific neighbourhood that satisfies their needs. So, if the residents are happy with a neighbourhood, we can further assume that this neighbourhood satisfies their needs. The socio-oeconomic panel (SOEP) of the German Institute for Economy (DIW) is a survey that investigates the economic structure of the German population. Every four years one part of this survey includes questions about what infrastructures can be found in the respondents neighbourhood and the satisfaction of the respondent with their neighbourhood. Further, it is possible to add a milieu estimation for each respondent or household. This gives us the possibility to analyse the typical neighbourhoods in German cities as well as the infrastructure profiles of the different milieus. Therefore, we take the environment variables from the dataset and recode them into a binary variable – whether an infrastructure is available or not. According to Faust (2005), these sets can also be understood, as a network of actors in a neighbourhood, which share two, three or more infrastructures. Like these networks, this neighbourhood network can also be visualized as a bipartite affiliation network and therefore analysed using correspondence analysis. We will show how a neighbourhood analysis will benefit from an upstream correspondence analysis and how this could be done. We will also present and discuss the results of such an analysis.
Different types of data provide different type of information. The present research analyzes the error on prediction obtained under different data type availability for calibration. The contribution of different measurement types to model calibration and prognosis are evaluated. A coupled 2D hydro-mechanical model of a water retaining dam is taken as an example. Here, the mean effective stress in the porous skeleton is reduced due to an increase in pore water pressure under drawdown conditions. Relevant model parameters are identified by scaled sensitivities. Then, Particle Swarm Optimization is applied to determine the optimal parameter values and finally, the error in prognosis is determined. We compare the predictions of the optimized models with results from a forward run of the reference model to obtain the actual prediction errors. The analyses presented here were performed calibrating the hydro-mechanical model to 31 data sets of 100 observations of varying data types. The prognosis results improve when using diversified information for calibration. However, when using several types of information, the number of observations has to be increased to be able to cover a representative part of the model domain. For an analysis with constant number of observations, a compromise between data type availability and domain coverage proves to be the best solution. Which type of calibration information contributes to the best prognoses could not be determined in advance. The error in model prognosis does not depend on the error in calibration, but on the parameter error, which unfortunately cannot be determined in inverse problems since we do not know its real value. The best prognoses were obtained independent of calibration fit. However, excellent calibration fits led to an increase in prognosis error variation. In the case of excellent fits; parameters' values came near the limits of reasonable physical values more often. To improve the prognoses reliability, the expected value of the parameters should be considered as prior information on the optimization algorithm.
There is a continuous exacerbation of environmental problems in big cities of today’s world, thereby, diminishing the quality of life in them. Of particular concern is the fact that today’s megacities are evolving in the developing world without corresponding growth in the economy, infrastructure and other human development indices. As urban population continues to grow in these cities of the Global South, governing institutions are usually unable to keep pace with their social responsibilities, thus, making the issue of urban governance very critical. This is because effective and efficient urban governance is highly essential for the creation, strengthening and sustenance of governing institutions.
Lagos, a mega-city of over 15.45 million people and the most populous metropolitan area on the African continent epitomizes the fundamental grave characteristics of the emerging megacities of the Global South, thereby, constituting an apt choice in understanding the emerging megacities of the next generation. Two out of every three Lagos residents live in slums and de-humanizing physical and social conditions. Many of them sleep, work, eat and cook under highway bridges, at the mercy of weather elements.
This research, therefore, evaluated urban governance through housing administration in Africa’s largest megacity. It examines the extent of housing problems in the city, the causal factors and the culpability of government agencies statutorily responsible for the provision, control and management of housing development in Lagos - the tenth largest city in the world. A representative geographic part of the city which manifests classic characteristics of slum life, listed by Mike Davis as the largest slum in Africa and the 6th largest in the world – Ajegunle - was adopted for case study. The research design combined rigorous literature search (desk research) with quantitative and, especially, qualitative approaches to data collection. The qualitative approach was more intensely adopted because government officials often respond to enquiries with ‘official answers and data’ which may not be reliable and the study had to rely on keen observation of physical traces, social interaction and personal investigation. The cross-sectional research method was adopted. Information was solicited from house-owners, building industry professionals, sociologists and officials of relevant government agencies, through research tools like questionnaires, interviews, focused group discussions and personal observations.
The analysis and discussion of these field data, in conjunction with the information from the desk research gave a better understanding of the status-quo, which informed the recommendations proposed in the dissertation for mitigating the problems. The research discovered that many of the statutory housing agencies have the capacity to effectively discharge their responsibilities. However, it was also shown that corruption and abdication of responsibilities by the staff of these agencies constitute primary causes of the chasm between the anticipated lofty outcome from the laudable building regulations/bye-laws and the appalling reality. It also discovered that lack of political will and apathy on the part of successive Governments of Lagos State to the improvement of housing conditions of the poor masses are major causes of the housing debacle in Lagos.
Several germane and realistic recommendations for redressing the situation were subsequently proffered. These include amongst others, the conduction of an accurate census for Lagos, in conjunction with credible international agencies, as a requisite basis for effective planning of any sort. The process of obtaining legal titles for land should also be made less cumbersome, while the housing administration process should be computerized; in order to reduce inter-personal contacts between applicants and government officials to the barest minimum, as a means of curbing the wide spread corruption in the system.
This thesis explores how architecture aids in the performance of open-ended narratives by engaging both actively and passively with memory, i.e. remembering and forgetting. I argue that architecture old and new stems from specific cultural and social forms, and is dictated by processes of remembering and forgetting. It is through interaction (between inhabitant and object) that architecture is given innate meanings within an urban environment that makes its role in the interplay one of investigative interest.
To enable the study of this performance, I develop a framework based on various theoretical paradigms to investigate three broad questions: 1) How does one study the performance of memory and forgetting through architecture in dynamic urban landscapes? 2) Is there a way to identify markers and elements within the urban environment that enable such a study? 3) What is the role that urban form plays within this framework and does the transformation of urban form imply the transformation of memory and forgetting?
The developed framework is applied to a macro (an urban level study of Bangalore, India) and micro level study (a singular or object level study of Stari Most/ Old Bridge, Mostar, BiH), to analyse the performance of remembering and forgetting in various urban spheres through interaction with architecture and form. By means of observations, archival research, qualitative mapping, drawings and narrative interviews, the study demonstrates that certain sites and characteristics of architecture enable the performance of remembering and the questioning of forgetting by embodying features that support this act.
Combining theory and empirical studies this thesis is an attempt to elucidate on the processes through which remembering and forgetting is initiated and experienced through architectural forms. The thesis argues for recognising the potential of architecture as one that embodies and supports the performance of memory and forgetting, by acting as an auratic contact zone.
This paper presents a methodology for uncertainty quantification in cyclic creep analysis. Several models- , namely BP model, Whaley and Neville model, modified MC90 for cyclic loading and modified Hyperbolic function for cyclic loading are used for uncertainty quantification. Three types of uncertainty are included in Uncertainty Quantification (UQ): (i) natural variability in loading and materials properties; (ii) data uncertainty due to measurement errors; and (iii) modelling uncertainty and errors during cyclic creep analysis. Due to the consideration of all type of uncertainties, a measure for the total variation of the model response is achieved. The study finds that the BP, modified Hyperbolic and modified MC90 are best performing models for cyclic creep prediction in that order. Further, global Sensitivity Analysis (SA) considering the uncorrelated and correlated parameters is used to quantify the contribution of each source of uncertainty to the overall prediction uncertainty and to identifying the important parameters. The error in determining the input quantities and model itself can produce significant changes in creep prediction values. The variability influence of input random quantities on the cyclic creep was studied by means of the stochastic uncertainty and sensitivity analysis namely the Gartner et al. method and Saltelli et al. method. All input imperfections were considered to be random quantities. The Latin Hypercube Sampling (LHS) numerical simulation method (Monte Carlo type method) was used. It has been found by the stochastic sensitivity analysis that the cyclic creep deformation variability is most sensitive to the Elastic modulus of concrete, compressive strength, mean stress, cyclic stress amplitude, number of cycle, in that order.
Ziel dieser Arbeit ist die Entwicklung von Methoden, mit denen die Prognosequalität von Kriechmodellen des Betons bestimmt werden kann. Die Methoden werden in zwei Ausgangsszenarien unterschieden: die Bewertung ohne und die Bewertung mit Verwendung von spezifischen Versuchsdaten zum Kriechverhalten des Betons. Die Modellqualität wird anhand der Gesamtunsicherheit der prognostizierten Kriechnachgiebigkeit quantifiziert. Die Unsicherheit wird für die Kriechprognose ohne Versuchsdaten über eine Unsicherheitsanalyse unter Berücksichtigung korrelierter Eingangsparameter ermittelt. Bei der Verwendung experimenteller Daten werden die stochastischen Eigenschaften der Modellparameter mittels Bayesian Updating bestimmt. Die Bewertung erfolgt erneut basierend auf einer Unsicherheitsanalyse sowie alternativ mittels Modellselektion nach Bayes.
Weiterhin wird eine auf Graphentheorie und Sensitivitätsanalysen basierende Methode zur Bewertung von gekoppelten Partialmodellen entwickelt. Damit wird der Einfluss eines Partialmodells auf das Verhalten einer globalen Tragstruktur quantifiziert, Interaktionen von Partialmodellen festgestellt und ein Maß für die Qualität eines Gesamtmodells ermittelt.