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- Building Information Modeling (49) (entfernen)
Modell bedarfsorientierter Leistungserbringung im FM auf Grundlage von Sensortechnologien und BIM
(2023)
Während der Digitalisierung im Bauwesen insbesondere im Bereich der Planungs- und Errichtungsphase von Bauwerken immer größere Aufmerksamkeit zuteilwird, ist das digitale Potenzial im Facility Management weit weniger ausgeschöpft, als dies möglich wäre. Vor dem Hintergrund, dass die Bewirtschaftung von Gebäuden jedoch einen wesentlichen Kostenanteil im Lebenszyklus darstellt, ist eine Fokussierung auf digitale Prozesse im Gebäudebetrieb erforderlich. Im Facility Management werden Dienstleistungen häufig verrichtungsorientiert, d. h. nach statischen Intervallen, oder bedarfsorientiert erbracht. Beide Arten der Leistungserbringung weisen Defizite auf, beispielweise weil Tätigkeiten auf Basis definierter Intervalle erbracht werden, ohne dass eine Notwendigkeit besteht oder weil bestehende Bedarfe mangels Möglichkeiten der Bedarfsermittlung nicht identifiziert werden. Speziell die Definition und Ermittlung eines Bedarfs zur Leistungserbringung ist häufig subjektiv geprägt. Auch sind Dienstleister oft nicht in frühen Phasen der Gebäudeplanung involviert und erhalten für ihre Dienstleistungen notwendige Daten und Informationen erst kurz vor Inbetriebnahme des zu betreibenden Gebäudes.
Aktuelle Ansätze des Building Information Modeling (BIM) und die zunehmende Verfügbarkeit von Sensortechnologien in Gebäuden bieten Chancen, die o. g. Defizite zu beheben.
In der vorliegenden Arbeit werden deshalb Datenmodelle und Methoden entwickelt, die mithilfe von BIM-basierten Datenbankstrukturen sowie Auswertungs- und Entscheidungsmethodiken Dienstleistungen der Gebäudebewirtschaftung objektiviert und automatisiert auslösen können. Der Fokus der Arbeit liegt dabei auf dem Facility Service der Reinigungs- und Pflegedienste des infrastrukturellen Facility Managements.
Eine umfangreiche Recherche etablierter Normen und Standards sowie öffentlich zugänglicher Leistungsausschreibungen bilden die Grundlage der Definition erforderlicher Informationen zur Leistungserbringung. Die identifizierten statischen Gebäude- und Prozessinformationen werden in einem relationalen Datenbankmodell strukturiert, das nach einer Darstellung von Messgrößen und der Beschreibung des Vorgehens zur Auswahl geeigneter Sensoren für die Erfassung von Bedarfen, um Sensorinformationen erweitert wird. Um Messwerte verschiedener und bereits in Gebäuden existenten Sensoren für die Leistungsauslösung verwenden zu können, erfolgt die Implementierung einer Normierungsmethodik in das Datenbankmodell. Auf diese Weise kann der Bedarf zur Leistungserbringung ausgehend von Grenzwerten ermitteln werden. Auch sind Verknüpfungsmethoden zur Kombination verschiedener Anwendungen in dem Datenbankmodell integriert. Zusätzlich zur direkten Auslösung erforderlicher Aktivitäten ermöglicht das entwickelte Modell eine opportune Auslösung von Leistungen, d. h. eine Leistungserbringung vor dem eigentlich bestehenden Bedarf. Auf diese Weise können tätigkeitsähnliche oder räumlich nah beieinander liegende Tätigkeiten sinnvoll vorzeitig erbracht werden, um für den Dienstleister eine Wegstreckeneinsparung zu ermöglichen. Die Arbeit beschreibt zudem die für die Auswertung, Entscheidungsfindung und Auftragsüberwachung benötigen Algorithmen.
Die Validierung des entwickelten Modells bedarfsorientierter Leistungserbringung erfolgt in einer relationalen Datenbank und zeigt simulativ für unterschiedliche Szenarien des Gebäudebetriebs, dass Bedarfsermittlungen auf Grundlage von Sensortechnologien erfolgen und Leistungen opportun ausgelöst, beauftragt und dokumentiert werden können.
Object-Oriented Damage Information Modeling Concepts and Implementation for Bridge Inspection
(2022)
Bridges are designed to last for more than 50 years and consume up to 50% of their life-cycle costs during their operation phase. Several inspections and assessment actions are executed during this period. Bridge and damage information must be gathered, digitized, and exchanged between different stakeholders. Currently, the inspection and assessment practices rely on paper-based data collection and exchange, which is time-consuming and error-prone, and leads to loss of information. Storing and exchanging damage and building information in a digital format may lower costs and errors during inspection and assessment and support future needs, for example, immediate simulations regarding performance assessment, automated maintenance planning, and mixed reality inspections. This study focused on the concept for modeling damage information to support bridge reviews and structural analysis. Starting from the definition of multiple use cases and related requirements, the data model for damage information is defined independently from the subsequent implementation. In the next step, the implementation via an established standard is explained. Functional tests aim to identify problems in the concept and implementation. To show the capability of the final model, two example use cases are illustrated: the inspection review of the entire bridge and a finite-element analysis of a single component. Main results are the definition of necessary damage data, an object-oriented damage model, which supports multiple use cases, and the implementation of the model in a standard. Furthermore, the tests have shown that the standard is suitable to deliver damage information; however, several software programs lack proper implementation of the standard.
The p-Laplace equation is a nonlinear generalization of the Laplace equation. This generalization is often used as a model problem for special types of nonlinearities. The p-Laplace equation can be seen as a bridge between very general nonlinear equations and the linear Laplace equation. The aim of this paper is to solve the p-Laplace equation for 2 < p < 3 and to find strong solutions. The idea is to apply a hypercomplex integral operator and spatial function theoretic methods to transform the p-Laplace equation into the p-Dirac equation. This equation will be solved iteratively by using a fixed point theorem.
The Laguerre polynomials appear naturally in many branches of pure and applied mathematics and mathematical physics. Debnath introduced the Laguerre transform and derived some of its properties. He also discussed the applications in study of heat conduction and to the oscillations of a very long and heavy chain with variable tension. An explicit boundedness for some class of Laguerre integral transforms will be present.
Performing parameter identification prior to numerical simulation is an essential task in geotechnical engineering. However, it has to be kept in mind that the accuracy of the obtained parameter is closely related to the chosen experimental setup, such as the number of sensors as well as their location. A well considered position of sensors can increase the quality of the measurement and to reduce the number of monitoring points. This Paper illustrates this concept by means of a loading device that is used to identify the stiffness and permeability of soft clays. With an initial setup of the measurement devices the pore water pressure and the vertical displacements are recorded and used to identify the afore mentioned parameters. Starting from these identified parameters, the optimal measurement setup is investigated with a method based on global sensitivity analysis. This method shows an optimal sensor location assuming three sensors for each measured quantity, and the results are discussed.
The sizing of simple resonators like guitar strings or laser mirrors is directly connected to the wavelength and represents no complex optimisation problem. This is not the case with liquid-filled acoustic resonators of non-trivial geometries, where several masses and stiffnesses of the structure and the fluid have to fit together. This creates a scenario of many competing and interacting resonances varying in relative strength and frequency when design parameters change. Hence, the resonator design involves a parameter-tuning problem with many local optima. As its solution evolutionary algorithms (EA) coupled to a forced-harmonic FE simulation are presented. A new hybrid EA is proposed and compared to two state-of-theart EAs based on selected test problems. The motivating background is the search for better resonators suitable for sonofusion experiments where extreme states of matter are sought in collapsing cavitation bubbles.
This study contributes to the identification of coupled THM constitutive model parameters via back analysis against information-rich experiments. A sampling based back analysis approach is proposed comprising both the model parameter identification and the assessment of the reliability of identified model parameters. The results obtained in the context of buffer elements indicate that sensitive parameter estimates generally obey the normal distribution. According to the sensitivity of the parameters and the probability distribution of the samples we can provide confidence intervals for the estimated parameters and thus allow a qualitative estimation on the identified parameters which are in future work used as inputs for prognosis computations of buffer elements. These elements play e.g. an important role in the design of nuclear waste repositories.
One of the most promising and recent advances in computer-based planning is the transition from classical geometric modeling to building information modeling (BIM). Building information models support the representation, storage, and exchange of various information relevant to construction planning. This information can be used for describing, e.g., geometric/physical properties or costs of a building, for creating construction schedules, or for representing other characteristics of construction projects. Based on this information, plans and specifications as well as reports and presentations of a planned building can be created automatically. A fundamental principle of BIM is object parameterization, which allows specifying geometrical, numerical, algebraic and associative dependencies between objects contained in a building information model. In this paper, existing challenges of parametric modeling using the Industry Foundation Classes (IFC) as a federated model for integrated planning are shown, and open research questions are discussed.
Known as a sophisticated phenomenon in civil engineering problems, soil structure interaction has been under deep investigations in the field of Geotechnics. On the other hand, advent of powerful computers has led to development of numerous numerical methods to deal with this phenomenon, resulting in a wide variety of methods trying to simulate the behavior of the soil stratum. This survey studies two common approaches to model the soil’s behavior in a system consisting of a structure with two degrees of freedom, representing a two-storey frame structure made of steel, with the column resting on a pile embedded into sand in laboratory scale. The effect of soil simulation technique on the dynamic behavior of the structure is of major interest in the study. Utilized modeling approaches are the so-called Holistic method, and substitution of soil with respective impedance functions.
Over the last decade, the technology of constructing buildings has been dramatically developed especially with the huge growth of CAD tools that help in modeling buildings, bridges, roads and other construction objects. Often quality control and size accuracy in the factory or on construction site are based on manual measurements of discrete points. These measured points of the realized object or a part of it will be compared with the points of the corresponding CAD model to see whether and where the construction element fits into the respective CAD model. This process is very complicated and difficult even when using modern measuring technology. This is due to the complicated shape of the components, the large amount of manually detected measured data and the high cost of manual processing of measured values. However, by using a modern 3D scanner one gets information of the whole constructed object and one can make a complete comparison against the CAD model. It gives an idea about quality of objects on the whole. In this paper, we present a case study of controlling the quality of measurement during the constructing phase of a steel bridge by using 3D point cloud technology. Preliminary results show that an early detection of mismatching between real element and CAD model could save a lot of time, efforts and obviously expenses.