Refine
Document Type
- Conference Proceeding (51) (remove)
Institute
- In Zusammenarbeit mit der Bauhaus-Universität Weimar (15)
- Bauhaus-Institut für Geschichte und Theorie der Architektur und Planung (8)
- Professur Angewandte Mathematik (8)
- Graduiertenkolleg 1462 (4)
- Institut für Strukturmechanik (ISM) (4)
- Professur Informatik im Bauwesen (4)
- F. A. Finger-Institut für Baustoffkunde (FIB) (3)
- Junior-Professur Computational Architecture (3)
- Institut für Konstruktiven Ingenieurbau (IKI) (2)
- Juniorprofessur Urban Energy Systems (2)
Keywords
- Angewandte Informatik (35)
- Angewandte Mathematik (35)
- Building Information Modeling (35)
- Computerunterstütztes Verfahren (35)
- Data, information and knowledge modeling in civil engineering; Function theoretic methods and PDE in engineering sciences; Mathematical methods for (robotics and) computer vision; Numerical modeling in engineering; Optimization in engineering applications (34)
- Städtebau (7)
- Architektur (2)
- Beton (2)
- Luci (2)
- Zement (2)
Year of publication
- 2015 (51) (remove)
With the advances of the computer technology, structural optimization has become a prominent field in structural engineering. In this study an unconventional approach of structural optimization is presented which utilize the Energy method with Integral Material behaviour (EIM), based on the Lagrange’s principle of minimum potential energy. The equilibrium condition with the EIM, as an alternative method for nonlinear analysis, is secured through minimization of the potential energy as an optimization problem. Imposing this problem as an additional constraint on a higher cost function of a structural property, a bilevel programming problem is formulated. The nested strategy of solution of the bilevel problem is used, treating the energy and the upper objective function as separate optimization problems. Utilizing the convexity of the potential energy, gradient based algorithms are employed for its minimization and the upper cost function is minimized using the gradient free algorithms, due to its unknown properties. Two practical examples are considered in order to prove the efficiency of the method. The first one presents a sizing problem of I steel section within encased composite cross section, utilizing the material nonlinearity. The second one is a discrete shape optimization of a steel truss bridge, which is compared to a previous study based on the Finite Element Method.
What is nowadays called (classic) Clifford analysis consists in the establishment of a function theory for functions belonging to the kernel of the Dirac operator. While such functions can very well describe problems of a particle with internal SU(2)-symmetries, higher order symmetries are beyond this theory. Although many modifications (such as Yang-Mills theory) were suggested over the years they could not address the principal problem, the need of a n-fold factorization of the d’Alembert operator. In this paper we present the basic tools of a fractional function theory in higher dimensions, for the transport operator (alpha = 1/2 ), by means of a fractional correspondence to the Weyl relations via fractional Riemann-Liouville derivatives. A Fischer decomposition, fractional Euler and Gamma operators, monogenic projection, and basic fractional homogeneous powers are constructed.
SELECTION AND SCALING OF GROUND MOTION RECORDS FOR SEISMIC ANALYSIS USING AN OPTIMIZATION ALGORITHM
(2015)
The nonlinear time history analysis and seismic performance based methods require a set of scaled ground motions. The conventional procedure of ground motion selection is based on matching the motion properties, e.g. magnitude, amplitude, fault distance, and fault mechanism. The seismic target spectrum is only used in the scaling process following the random selection process. Therefore, the aim of the paper is to present a procedure to select a sets of ground motions from a built database of ground motions. The selection procedure is based on running an optimization problem using Dijkstra’s algorithm to match the selected set of ground motions to a target response spectrum. The selection and scaling procedure of optimized sets of ground motions is presented by examining the analyses of nonlinear single degree of freedom systems.
From the design experiences of arch dams in the past, it has significant practical value to carry out the shape optimization of arch dams, which can fully make use of material characteristics and reduce the cost of constructions. Suitable variables need to be chosen to formulate the objective function, e.g. to minimize the total volume of the arch dam. Additionally a series of constraints are derived and a reasonable and convenient penalty function has been formed, which can easily enforce the characteristics of constraints and optimal design. For the optimization method, a Genetic Algorithm is adopted to perform a global search. Simultaneously, ANSYS is used to do the mechanical analysis under the coupling of thermal and hydraulic loads. One of the constraints of the newly designed dam is to fulfill requirements on the structural safety. Therefore, a reliability analysis is applied to offer a good decision supporting for matters concerning predictions of both safety and service life of the arch dam. By this, the key factors which would influence the stability and safety of arch dam significantly can be acquired, and supply a good way to take preventive measures to prolong ate the service life of an arch dam and enhances the safety of structure.
The paper introduces a systematic construction management approach, supporting expansion of a specified construction process, both automatically and semi-automatically. Throughout the whole design process, many requirements must be taken into account in order to fulfil demands defined by clients. In implementing those demands into a design concept up to the execution plan, constraints such as site conditions, building code, and legal framework are to be considered. However, complete information, which is needed to make a sound decision, is not yet acquired in the early phase. Decisions are traditionally taken based on experience and assumptions. Due to a vast number of appropriate available solutions, particularly in building projects, it is necessary to make those decisions traceable. This is important in order to be able to reconstruct considerations and assumptions taken, should there be any changes in the future project’s objectives. The research will be carried out by means of building information modelling, where rules deriving from standard logics of construction management knowledge will be applied. The knowledge comprises a comprehensive interaction amongst bidding process, cost-estimation, construction site preparation as well as specific project logistics – which are usually still separately considered. By means of these rules, favourable decision taking regarding prefabrication and in-situ implementation can be justified. Modifications depending on the available information within current design stage will consistently be traceable.
In construction engineering, a schedule’s input data, which is usually not exactly known in the planning phase, is considered deterministic when generating the schedule. As a result, construction schedules become unreliable and deadlines are often not met. While the optimization of construction schedules with respect to costs and makespan has been a matter of research in the past decades, the optimization of the robustness of construction schedules has received little attention. In this paper, the effects of uncertainties inherent to the input data of construction schedules are discussed. Possibilities are investigated to improve the reliability of construction schedules by considering alternative processes for certain tasks and by identifying the combination of processes generating the most robust schedule with respect to the makespan of a construction project.
Restelo Neighbourhood: Expanding the Capital of the Empire with the First Portuguese Urban Planner
(2015)
For decades in Germany, historical research on dictatorial urban design in the first half of the 20th century focused on the National Socialist period. Studies on the urban design practices of other dictatorships remained an exception. This has changed. Meanwhile, the urban production practices of the Mussolini, Stalin, Salazar, Hitler and Franco dictatorships have become the subject of comprehensive research projects. Recently, a research group that studies dictatorial urban design in 20th century Europe has emerged at the Bauhaus-Institut für Geschichte und Theorie der Architektur und der Planung. The group is already able to refer to various research results.
Part of the research group’s self-conception is the assumption that the urban design practices of the named dictatorships can only be properly understood from a European perspective. The dictatorships influenced one another substantially. Furthermore, the specificities of the practices of each dictatorship can only be discerned if one can compare them to those of the other dictatorships. This approach requires strict adherence to the research methods of planning history and urban design theory. Meanwhile, these methods must be opened
to include those of general historical studies.
With this symposium, the research group aims to further qualify this European perspective. The aim is to pursue an inventory of the various national historiographies on the topic of “urban design and dictatorship”. This inventory should offer an overview on the general national level of historical research on urban design as well as on the level of particular urban design projects, persons or topics.
The symposium took place in Weimar, November 21-22, 2013. It was organized by Harald Bodenschatz, Piero Sassi and Max Welch Guerra and funded by the DAAD (German Academic Exchange Service).
For decades in Germany, historical research on dictatorial urban design in the first half of the 20th century focused on the National Socialist period. Studies on the urban design practices of other dictatorships remained an exception. This has changed. Meanwhile, the urban production practices of the Mussolini, Stalin, Salazar, Hitler and Franco dictatorships have become the subject of comprehensive research projects. Recently, a research group that studies dictatorial urban design in 20th century Europe has emerged at the Bauhaus-Institut für Geschichte und Theorie der Architektur und der Planung. The group is already able to refer to various research results.
Part of the research group’s self-conception is the assumption that the urban design practices of the named dictatorships can only be properly understood from a European perspective. The dictatorships influenced one another substantially. Furthermore, the specificities of the practices of each dictatorship can only be discerned if one can compare them to those of the other dictatorships. This approach requires strict adherence to the research methods of planning history and urban design theory. Meanwhile, these methods must be opened
to include those of general historical studies.
With this symposium, the research group aims to further qualify this European perspective. The aim is to pursue an inventory of the various national historiographies on the topic of “urban design and dictatorship”. This inventory should offer an overview on the general national level of historical research on urban design as well as on the level of particular urban design projects, persons or topics.
The symposium took place in Weimar, November 21-22, 2013. It was organized by Harald Bodenschatz, Piero Sassi and Max Welch Guerra and funded by the DAAD (German Academic Exchange Service).
The theory of regular quaternionic functions of a reduced quaternionic variable is a 3-dimensional generalization of complex analysis. The Moisil-Theodorescu system (MTS) is a regularity condition for such functions depending on the radius vector r = ix+jy+kz seen as a reduced quaternionic variable. The analogues of the main theorems of complex analysis for the MTS in quaternion forms are established: Cauchy, Cauchy integral formula, Taylor and Laurent series, approximation theorems and Cauchy type integral properties. The analogues of positive powers (inner spherical monogenics) are investigated: the set of recurrence formulas between the inner spherical monogenics and the explicit formulas are established. Some applications of the regular function in the elasticity theory and hydrodynamics are given.
Etwa ein Viertel des gesamten Endenergieverbrauchs (26%) in Deutschland entfällt auf den Wohnungssektor, wodurch dieser Sektor einen erheblichen Anteil am möglichen Einsparpotenzial an Energie hat. Im Hinblick auf das Klimaschutzziel der Europäischen Union, die Energieeffizienz im Vergleich zu 1990 um 20% zu erhöhen, stellt sich daher die Frage, welche Einsparpotenziale es im Wohnungssektor tatsächlich gibt und wie diese quantifiziert werden können. In dieser Arbeit wird der Einfluss der Parameter, die den Endenergieverbrauch beeinflussen, mit Hilfe einer Sensitivitätsanalyse bestimmt. Die Ergebnisse der Sensitivitätsanalyse zeigen, dass die einflussreichsten Parameter auf den Endenergieverbrauch der Innentemperaturbedarf, die Länge der Heizperiode, die Außentemperatur (Gradtagzahl) und die Anzahl der Wohnungen sind. Dies sind Variablen, die nicht durch Verordnungen reguliert werden können. Der einzige Parameter, der regulierbar ist und einen bedeutenden Einfluss auf den Endenergieverbrauch hat, ist der Nutzungsgrad der Anlagen/Geräte für Raumwärme, Warmwasser und Kochen (sowie zu einem geringen Teil der Wirkungsgrad der eingesetzten Beleuchtung). Zur Quantifizierung des Energieeinsparpotentials im deutschen Wohnungssektor bezüglich des Nutzungsgrades wurden in dieser Arbeit Daten zur Bestimmung der langfristigen Entwicklung (Zeitraum 1990-2010) des Nutzungsgrades von Anlagen und Geräten analysiert. Mit verschiedenen Angaben aus der Literatur und mit Hilfe von Sättigungskurven wurde die Entwicklung der Nutzugsgrade der Anlagen/Geräte entsprechend der Energiequellen zwischen 1990 und 2010 ermittelt. Die erhaltenden Sättigungskurven ermöglichen die Bestimmung der Entwicklung des Nutzenergieverbrauchs im deutschen Wohnungssektor. Hierbei wurde festgestellt, dass die Differenz zwischen Nutzenergieverbrauch und Endenergieverbrauch einen Rückgang von 12 % im betrachtenden Zeitraum verzeichnete und dass das Energieeinsparpotenzial in Abhängigkeit von der Energiequelle beträchtlich variieren kann (um derzeit mehr als 35%-Punkte). Im Hinblick auf das oben genannte Klimaschutzziel werden in dieser Arbeit verschiedene Entwicklungsszenarien auf Basis des Nutzungsgrades der Anlagen und der Energiequellen analysiert. Hierbei wird deutlich, dass das theoretische Energieeinsparpotenzial im deutschen Wohnungssektor bezüglich des durchschnittlichen Nutzungsgrades nur zwischen 4 und 15 % liegt. Dies bedeutet, dass eine deutliche Reduktion des Endenergiebedarfs im Wohnungssektor nur stattfinden kann, wenn andere Energieeinsparmaßnahmen betrachtet werden. Basierend auf den Ergebnissen der Sensitivitätsanalyse werden hierzu Empfehlungen gegeben.