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Eingeladener Vortrag
- nein (22)
Reclassification of bridges, i.e., a change in load rating, using reliability-based methods and a direct update with proof load information has been presented by many authors. However, bridge reclassification has hardly been studied from a decision analytic perspective, i.e., with quantification of the risks and benefits of different classification choices, and the expected benefit gain from proof loading. We derive, explain and exemplify a decision analytic approach for bridge reclassification along with models for (1) elastic and ultimate capacity and their adaptation with proof load information, (2) proof load information with classification outcomes accounting for target reliabilities and, (3) utilities including socio-economic benefits from reclassification. The approach and models are exemplified with a case study based on reclassification of bridges with a low existing classification. Decision rules, for practical use by a highway authority to find the optimal classification, are identified and documented based on: (1) the measurement of the capacity at elastic limit by proof loading, (2) the bridge reclassification benefits, and, (3) the required annual reliability level. From a Value of Information analysis, it is concluded that the proof load information is highly valuable for reclassification in cases of high socio-economic benefits and high reliability requirements.
Die zunehmende Anwendung hochfesten Betons in ermüdungsbelasteten Bauwerken, herausfordernde Belastungsszenarien im Bereich von On- und Offshore Windenergieanlagen bezüglich sehr hoher Lastwechselzahlen sowie das gleichzeitige Streben nach energie- und ressourcenschonendem Bauen stellen die Bemessung von Beton gegen Ermüdung vor neue Aufgaben. Eine Vielzahl von Studien beschreibt bereits die Auswirkung von Einflussfaktoren wie Mischungszusammensetzung, Feuchte, Probekörpergröße oder Belastungsart auf die Ermüdungsfestigkeit und den Ermüdungsprozess. Aufgrund der unterschiedlichen Geometrien und Mischungen der in den verschiedenen Studien verwendeten Proben sind die Auswirkungen der Einflussfaktoren jedoch kaum miteinander vergleichbar. In dem vom Bundesministerium für Wirtschaft und Klimaschutz (BMWK) geförderten Verbundprojekt WinConFat wurden deshalb verschiedene Einflussfaktoren gezielt an Proben mit einheitlichen Mischungen untersucht. Das durch die Bundesanstalt für Materialforschung und -prüfung (BAM) bearbeitete Teilprojekt fokussierte sich auf den „Einfluss der Probengeometrie und -größe auf die Ermüdung von Beton“. Neben der Erhebung von Daten zur Ermüdungsfestigkeit wurde der Ermüdungsprozess mit zerstörungsfreien Prüf- und Messmethoden untersucht. Diese Prüfmethoden wurden auch hinsichtlich ihrer Anwendbarkeit zur Erfassung der ermüdungsbedingten Schädigungsentwicklung an Betonbauwerken im Rahmen von Monitoringkonzepten bewertet. Untersucht wurden die Ermüdungsfestigkeiten und der Ermüdungsprozess an Zylindern mit drei unterschiedlichen Betonmischungen sowie unterschiedlicher Größe und Schlankheit. Die Ergebnisse dieser Untersuchungen werden im Folgenden vorgestellt und diskutiert.
Die heute in der Anwendung befindlichen Bemessungskonzepte für Ermüdung von Beton stammen zum Teil noch aus den 1990er Jahren und sind speziell hinsichtlich hochfester Betone konservativ ausgelegt. Um die Vorteile von Türmen für Windkraftanlagen, vor allem auch aus hochfesten Betonen, im Zuge des geplanten Ausbaus der Windenergieversorgung in Deutschland wirtschaftlich nutzbar zu machen, müssen diese Bemessungskonzepte weiterentwickelt werden. Dafür sind umfangreiche Untersuchungen zur Ermittlung von Bruchlastwechselzahlen und zur Charakterisierung der Schädigungsentwicklung unter Ermüdungsbeanspruchung erforderlich. Allgemein anerkannte bzw. verbindliche Regelwerke oder Verfahren zur experimentellen Bestimmung der Ermüdungsfestigkeit (Bruchlastwechselzahlen) an Betonproben gibt es zurzeit aber nicht und die bisher durchgeführten Untersuchungen variieren in Parametern wie Probengeometrie, Probengröße und Prüffrequenz. Eine vergleichende Analyse der Ergebnisse der Studien und insbesondere die Übertragbarkeit auf bauteilrelevante Abmessungen ist auf dieser Grundlage nur sehr eingeschränkt möglich.
O3BET Quality Protocols
(2023)
Presentation of the process-oriented approach for the development of the quality protocolls (standard operation procedures and work instructions) for the O3BETs. O3BETs are innovative testing facilities for building envelopes which are developed in the course of the Metabuilding Labs EU Horizon 2020 project.
An analytical expression for the frequency response function of a coupled pedestrian-bridge system is presented and evaluated using an experimental measurement campaign performed on the Folke Bernadotte Bridge in Stockholm, Sweden. A finite element model and the modal models that consider the human–structure interaction effect are calibrated with respect to the measurements. The properties of the spring–mass–damper model representing the pedestrians were identified, considering the different structural modes of the system. Good agreement was obtained between the experimental and theoretical frequency response functions. A sensitivity analysis of the obtained solution was performed, validating the determined analytical expression for the frequency response function of the coupled pedestrian-bridge system that takes into account the human–structure interaction effect.
Bewertung der Innenhydrophobierung als neuartige AKR-Vermeidungsstrategie bei Betonfahrbahndecken
(2023)
Zur Vermeidung von AKR-Schäden an Betonfahrbahndecken im deutschen Autobahnnetz wurden mit dem ARS 04/2013 verbindliche Eignungsprüfungen zum Ausschluss alkaliempfindlicher Gesteinskörnungen bei Neubau- und Erhaltungsmaßnahmen eingeführt. Das hatte eine signifikante Reduzierung geeigneter Gesteinskörnungen zur Folge. Deshalb wird geprüft, ob durch die Zugabe eines Hydrophobierungsmittels während der Betonherstellung grenzwertig alkaliempfindliche Gesteinskörnungen nutzbar gemacht werden können. In diesem Beitrag wird der Einfluss der Dosierung eines Compounds mit Hydrophobierungsmittel (HM) auf die Frisch- und Festbetoneigenschaften eines Waschbetons mit einer reaktiven Grauwacke dargestellt. Es zeigt sich, dass aufgrund des Antagonismus die zunehmende Dosierung des HM-Compounds eine signifikante Erhöhung der Zugabe des Luftporenbildners auf Wurzelharzbasis erfordert. Der AKR-Schädigungsprozess wird ab einer Dosierung des HM-Compounds von 0,75 M.-%, bezogen auf den Zementgehalt, hinreichend vermindert. Die mechanischen Eigenschaften des hydrophobierten Waschbetons verschlechtern sich im betrachteten Dosierungsbereich des HM-Compounds nur geringfügig. Auch der Frost-Tausalz-Widerstand vermindert sich, ohne den normativen Grenzwert für die Abwitterung zu überschreiten.
Proof load testing may be performed to confirm the reliability of the bridge for an existing classification or to prove the reliability for a higher classification. In this paper, a probabilistic decision analysis approach is applied to the scenario for the evaluation of target proof load in the situation where information on the bridge resistance model is lacking. In this case, the resistance model is established by proof loading and taking very basic prior knowledge into account. The decision scenario is modelled in the context of the proof load test planner who shall choose the required load level for assessment of a bridge. The choice of the load level depends on the risks due to the testing and the expected benefit gain from the test. Information acquired about the loading response from monitoring during the proof load testing is modelled by taking basis in the model uncertainty formulation. The optimal proof load level for classification of a single lane, simply supported bridge of 8m span subjected to live load from very heavy (gross weight > 80 tons) transport vehicles was calculated. The optimal proof load level was identified as leading to a positive expected benefit gain to the decision maker while also satisfying target reliability criteria for remaining service life. The analysis was performed for the evaluation of bridge performance with respect to five classifications of very heavy transport vehicles with different vehicle weights and configurations.
Lithium-ion batteries are a key technology to achieve the goals of limiting climate change due to the important role as traction technology for Electric Vehicles and in stationary energy storage systems. Over(dis) charge, mechanical damage due to accidents or thermal abuse such as fires can initiate an accelerated self-heating process of the batteries, called thermal runaway. A thermal runaway can propagate from cell to cell within a larger assembly of cells such as modules or battery packs and can cause rapid heat and toxic gas emissions. The resulting battery fire can spread to adjacent facilities, e.g. other cars in underground car parks or to a whole building in case of a large stationary energy storage.
For proof of fire protection requirements or to design suitable fire protection systems, Computational Fluid Dynamic (CFD) simulations are getting more and more important. The aim of CFD fire simulations is to predict the global hazards of a fire to its surroundings, that is mainly characterized by the release of heat and smoke and its spread in the fire environment. There are many numerical investigations of lithium-ion batteries in the literature. One class of models is used to simulate the charge and discharge process of lithium-ion batteries and to predict the temperature or voltage evolution inside the battery. On the other hand, there are models describing batteries under abuse conditions to predict the consequences of a thermal runaway event to the local environment, like the temperatures inside a battery or at the battery surface. Henriksen et al. use a generic battery gas mixture to simulate an explosion of vented gases from a Lithium Iron Phosphate battery and compare experimental results for the explosion pressure and the position of the flame front to the outcomes of a simulation with Xifoam. Larsson et al. used a combination of CFD simulations with FDS and thermal model with COMSOL to predict the temperature development of neighboring cells in a thermal runaway propagation. Truchot et al. use a design Heat Release Rate (HRR) curve for a battery based on experimental measurements to build up an overall HRR curve for a truck loaded with 100 lithium-ion batteries. This summed up HRR and corresponding smoke production curve is then used as an input for a simulation of a truck fire in a tunnel with Fire Dynamics Simulator (FDS). The pre-definition of the HRR curve is a frequently used method in fire engineering. It has the disadvantage, that the heat release cannot be influenced by physical processes, such as changed ventilation conditions or extinguishing measures. In this paper, a model is presented that determines the release of heat and gases based on the thermal runaway mechanisms of the battery, which can be used in CFD fire simulations with focus on prediction of fire hazards to nearby environment.
The levelized cost of energy (LCoE) is an important measure to quantify the macro-economic efficiency of an offshore wind farm and to enable a quantitative comparison with other types of energy production. The costs of the structural integrity management - which is required to ensure an adequate lifetime reliability of the turbine support structures - are part of the operational expenditures of an offshore wind farm. An optimization of the structural integrity management may reduce the operational expenditures and consequently the LCoE. However, the effect of the structural integrity management on the LCoE is hardly known. To investigate this effect, this paper presents a sensitivity analysis of the LCoE of a generic offshore wind farm. The probabilistic models of the parameters influencing the LCoE are based on a literature study including an explicit model for the structural integrity management.
The analysis reveals that LCoE may potentially be reduced if an optimization of the structural integrity management enables a service life extension.
In the present paper, an approach for updating the continuous stress range distribution of a welded connection of a wind turbine support structure with predicted information from strain measurements is presented. Environmental conditions, such as wind or, in offshore fields, waves and currents, in combination with rotor excitations generate cyclic stresses affecting the reliability of welded joints of the support structure over the service life. Using strain measurements, these conditions can be monitored, and the resulting stress ranges, under consideration of measurement, mechanical and material uncertainties, can be reconstructed. These stress ranges can be used as an input for updating the prior probability density function (PDF) of the stress ranges predicted by the overall dynamics and a detailed design analysis. Applying Bayesian probability theory and decision theoretical implications, the predicted posterior probability density of the stress ranges is calculated based on the design information and uncertainties. This approach is exemplified, and it is shown how the predicted stress ranges and the design stress ranges are distributed. The prior and the predicted posterior stress ranges are used for a reliability calculation for potentially entering a pre-posterior decision analysis
Der Erhalt einer dauerhaft sicheren Infrastruktur erfordert neben der Berücksichtigung technisch bedingter Alterungs- und Schädigungsprozesse auch die Umsetzung aktueller gesellschaftlicher Herausforderungen wie die Integration neuer Mobilitätskonzepte, Steigerung der Resilienz gegenüber Klimawandel oder Ressourcenschonung. Die parallele Umsetzung dieser „alten“ und „neuen“ Anforderungen lässt sich nur durch räumlich und zeitlich skalenübergreifende Betrachtungen lösen, die ohne digitale Prozesse nicht möglich sein werden. Am Beispiel des Elements der Querscheinfuge in Betonstraßenoberflächen wird in diesem Vortrag aufgezeigt, wie die BAM durch Kombination diverser Projekte zu einzelnen Aspekten dieser Fragestellung in einem ganzheitlichen Konzept eines digitalen Zwillings dieses Bauelements löst.
Wasserstoffinduzierte Spannungsrisskorrosion führt zu Standsicherheitsproblemen an Spannbetonbrückenbauwerken mit hochempfindlichen Spannstählen im Spannblockverfahren. An der Altstädter Brücke (Brandenburg a. d. H.) bot sich die Gelegenheit, kurz vor deren Rückbau umfangreiche Untersuchungen zur Detektion und Verifizierung dieses Schadensbildes durchzuführen und verschiedene Monitoringverfahren hinsichtlich ihrer Eignung für diese spezielle Fragestellung zu untersuchen.
From a fire safety point of view, the burning behavior of lithium-ion batteries is of high interest. The heat release rate (HRR) is the most important fire parameter to analyze the fire hazards of burning objects, so that an accurate determination of it is crucial. In this paper, two different measurement techniques, the Oxygen Consumption Calorimetry (OCC) and the Sensible Enthalpy Rise Approach (SERA) are simultaneously performed in the same calorimeter to measure the HRR of two different types of lithium-ion batteries. HRR values as well as total energies determined by SERA are higher than measured with OCC: The total energy released is about 10–12 times (SERA) and 6–9.5 times (OCC) the electrical stored energy for both battery types, whereas the timescales of the release differ strongly between the types, resulting in maximum HRRs of 3.4 MW (SERA) and 1.5 MW (OCC)
for one module of type A and 0.8 MW (SERA) and 0.6 (OCC) of type B respectively. Furthermore, a sensitive dependency of the HRR measurement with SERA on the position of the wall temperature measurement is observed.
With the aim of identifying the origin and the manufacturer of a cement, a reliable procedure that provides unambiguous results is needed. Such procedure could resolve practical issues in damage research, liability issues and forensic investigations. A substantial number of attempts for fingerprinting of building materials, including cement, has already been carried out during the last decades. Most of them were based on concentration analysis of the main elements/components. This review provides an overview of provenance studies of cement and the main approaches commonly used. Provenance studies of cement via isotope techniques are also presented and discussed as representatives of the state-of-the-art in the field. Due to the characteristic properties and the occurrence of carefully selected isotope ratios, unique fingerprints of different kinds of materials can be provided by these methods. This property has largely been explored in various scientific fields such as geo- and cosmochemistry, food forensics, archaeology, geochronology, biomedical studies, and climate change processes. However, the potential of isotope techniques in cement and concrete research for provenance studies has barely been investigated.
Therefore, the review outlines a suitable approach using isotope ratios, which could lead to reliable provenancing of cementitious materials in the future.
Monitoring 4.0/5.0
(2021)
Mehr als 10 % des deutschen Bruttoinlandsprodukts werden für Investitionen imBausektor eingesetzt. Die unmittelbar folgende Erkenntnis, dass eine zukunftsorientierte, nachhaltige Umgestaltung unserer Gesellschaft nicht ohne einen substanziellen Beitrag des Bausektors gelingen kann, hat sich mittlerweile weitgehend durchgesetzt. Die Komplexität der zugehörigen technischen Herausforderungen ist jedoch nicht zu unterschätzen.
Structural health monitoring systems have been widely implemented to provide real-time continuous data support and to ensure structural safety in the context of structural integrity management. However, the quantification of the potential benefits of structural health monitoring systems has not yet attracted widespread attention. At the same time, there is an urgent need to develop strategies, such as optimizing the monitoring period, monitoring variables, and other factors, to maximize the potential benefits of structural health monitoring systems. Considering the continuity of structural health monitoring information, a framework is developed in this article to support decision-making for structural Health monitoring systems arrangement in the context of structural integrity management, which integrates the concepts of value of information and risk-based inspection planning based on an approach which utilizes a conjugate prior probability distribution for updating of the probabilistic models of structural performances based on structural health Monitoring information. An example considering fatigue degradation of steel structures is investigated to illustrate the application of the proposed framework. The considered example shows that the choice of monitoring variables, the Monitoring period, and the monitoring quality may be consistently optimized by the application of the proposed framework and approach. Finally, discussions and conclusions are provided to clarify the potential benefits of the proposed Framework with a special view to practical applications of structural health monitoring systems.
Due to the energy transition in Germany and the European Union, the relevance of renewable energy is steadily increasing. Besides hydropower and solar energy, offshore and onshore wind energy already forms a major part of renewables energies and will also be further expanded in the future (COMMISSION, 2020). In addition to the investments in the expansion of renewable energy, further research and development should focus on reducing the levelized cost of energy (LCoE) of wind energy to improve its market position.
The LCoE is the average net cost of electricity generated by a power plant that converts a certain type of energy into electrical power. The LCoE is estimated as the ratio of the discounted lifetime costs (i.e. capital expenditures (CAPEX) plus operational expenditures (OPEX)) to the discounted sum of the annual energy production (AEP) over its lifetime. For an offshore wind farm, the CAPEX contain the investment costs for the structures and remaining parts of the wind farm. The OPEX include the cost related to the structural integrity management (SIM) and the operation and maintenance of the remaining parts. The AEP is a function of the number of turbines, the nominal (turbine) capacity, the nominal capacity availability factor, the turbine availability, and the feed in tariff.
Several options are available to reduce the LCoE of a wind farm. For example, the energy production can be increased by increasing the turbine availability. Another option is to optimize the SIM and thus reduce the OPEX. To study the influence of SIM on the LCoE of a wind farm, we perform a variance-based sensitivity analysis of the LCoE (Saltelli et al., 2008). In this analysis, the importance of a given parameter influencing the LCoE is measured in term of its first-order sensitivity index, which quantifies the contribution the parameter to the variance of the LCoE. The CAPEX and OPEX are decomposed into costs related to the structures and costs associated to the remaining parts of the wind farm. The mean value of the CAPEX and OPEX related to the structures and the remaining parts are determined based on a literature study. The OPEX related to the structures are assumed to be in accordance with the requirements and regulations of German Hydrographic Authority (Hydrographie, 2015). They amount to 1.6% of the total OPEX for an average scenario (Martinez-Luengo and Shafiee, 2019).
The determined sensitivity indices for the parameters influencing the LCoE are shown (Figure 1). The nominal capacity, the nominal capacity availability factor, the turbine availability factor, and the feed in tariff have the highest (first-order) sensitivity indices. The CAPEX and OPEX for the wind turbine support structures have small sensitivity indices. It can be concluded that an optimization of the SIM may have negligible influence on the LCoE. However, an extension of the service life by means of structural health information (Thöns et al., 2017) may have an effect due to its reasonable influence on the LCoE .
Support structures of offshore wind turbines are subject to cyclic stresses generated by different time-variant random loadings such as wind, waves, and currents in combinationwith the excitation by the rotor. In the design phase, the cyclic demand on wind turbine support structure is calculated and forecasted with semi or fully probabilistic engineering models. In some cases, additional cyclic stresses may be induced by construction deviations, unbalanced rotor masses and structural dynamic phenomena such as, for example, the Sommerfeld effect. Both, the significant uncertainties in the design and a validation of absence of unforeseen adverse dynamic phenomena necessitate the employment of measurement Systems on the support structures. The quality of the measurements of the cyclic demand on the support structures depends on (a) the precision of the measurement System consisting of sensors, amplifier and data normalization and (b) algorithms for analyzing and converting data to structural health information. This paper presents the probabilistic modelling and analysis of uncertainties in strain measurements performed for the purposes of reconstructing stress resultants in wind turbine towers.
It is shown how the uncertainties in the strain measurements affect the uncertainty in the individual components of the reconstructed forces and moments. The analysis identifies the components of the vector of stress resultants that can be reconstructed with sufficient precision.