Filtern
Dokumenttyp
- Vortrag (17)
- Beitrag zu einem Tagungsband (13)
- Zeitschriftenartikel (8)
- Buchkapitel (6)
- Forschungsdatensatz (4)
- Posterpräsentation (3)
- Forschungsbericht (2)
- Dissertation (1)
- Handbuch (1)
Referierte Publikation
- nein (55) (entfernen)
Schlagworte
- Existing structures (13)
- Reliability (12)
- NDT (9)
- Non-destructive testing (9)
- Nachrechnung (8)
- Assessment (7)
- Concrete (7)
- Bestandsbauwerke (6)
- Measurement uncertainty (6)
- Messunsicherheit (6)
- Concrete bridges (5)
- Validation (5)
- Zuverlässigkeitsbewertung (5)
- Measurement (4)
- Reassessment (4)
- Structural safety (4)
- Zerstörungsfreie Prüfung (4)
- Reliability assessment (3)
- ZfPBau (3)
- ZfPStatik (3)
- Asphalt (2)
- Beton (2)
- Digitaler Zwilling (2)
- Elastic wave (2)
- Existing Concrete Structures (2)
- Existing bridges (2)
- Measurement Uncertainty (2)
- Non-Destructive Testing (2)
- Procedure (2)
- Pulse echo method (2)
- Quality assurance (2)
- Reference specimen (2)
- Synthetic Aperture Focusing Technique (2)
- Tendon duct (2)
- Ultraschall (2)
- Ultrasound (2)
- Zerstörungsfreie Prüfung im Bauwesen (2)
- ZfP (2)
- Zustandsbewertung (2)
- Zuverlässigkeitstheorie (2)
- Betonbrücke (1)
- Betonschwellen (1)
- Beurteilung von Bestandstragwerken (1)
- Bridge (1)
- Bridge reassessment (1)
- Brücke (1)
- Brücken (1)
- Civil engineering (1)
- Compressive Concrete Strength (1)
- Compressive concrete strength (1)
- Concrete Bridge (1)
- Condition assessment (1)
- Corrosion (1)
- Data-informed reliability analysis (1)
- Data-supported assessment (1)
- Datenablage (1)
- Digitalisierung (1)
- Durability assessment (1)
- Eexisting structures (1)
- Gleisoberbau (1)
- Ground penetrating radar (GPR) (1)
- Interlaboratory comparison (1)
- Leitfaden (1)
- Life management (1)
- Localisation (1)
- Measurement chain (1)
- Messkette (1)
- Messung (1)
- Non-Destructive Testing (NDT) (1)
- Non-destructive testing (NDT) (1)
- Non-destructive testing in civil engineering (1)
- Nondestructive testing (1)
- Partial safety factor modification (1)
- Physikalisches Modell (1)
- Practicality measurement (1)
- Prestressed concrete (1)
- Probabilistic (1)
- Probabilistic methods (1)
- Probabilistik (1)
- Probability of Detection (1)
- Probability of detection (1)
- Probability of detection (POD) (1)
- Prüfanweisung (1)
- Querkraftnachweis (1)
- Radar (1)
- Rebound Hammer (1)
- Rebound number (1)
- Reconstruction (1)
- Reinforcement (1)
- Schieneninfrastruktur (1)
- Sensor technology (1)
- Sensorik (1)
- Spannbeton (1)
- Spannbetonbrücke (1)
- Spannbetonbrücken (1)
- Spannbetonschwelle (1)
- Spannbetonschwellen (1)
- State-of-the-art (1)
- Static and dynamic reassessment (1)
- Statischer Nachweis (1)
- Statistical analysis (1)
- Stochastic model (1)
- Structural Health Monitoring (1)
- Structural engineering (1)
- Structural health monitoring (1)
- Ultrasonic (1)
- Ultrasonic Pulse Velocity (1)
- Ultrasonic pulse velocity (1)
- Uncertainty (1)
- Verkehrsinfrastruktur (1)
- Zuverlässigkeit (1)
- Zuverlässigkeitsanalyse (1)
Organisationseinheit der BAM
Eingeladener Vortrag
- nein (17)
ZfPStatik bezeichnet die Verwendung von statistisch bewerteten Messergebnissen, die mit zerstörungsfreien Prüfverfahren im Bauwesen (ZfPBau) gewonnen werden und in statischen Berechnungen zum Nachweis der Tragfähigkeit verwendet werden. Dazu ist die Ermittlung der Messunsicherheit der Versuchsdaten auf der Basis des GUM (Guide to the Expression of Uncertainty in Measurement) der erste Schritt. Der statische Nachweis erfolgt durch Grenzzustandsgleichungen, die im Bauwesen angewandt werden. Diese müssen modifiziert werden, so dass jede Messgröße als Zufallsvariable in der Grenzzustandsgleichung vorhanden ist. Der statische Nachweis erfolgt mit probabilistischen Berechnungsmethoden aus der Zuverlässigkeitstheorie. Diese Vorgehensweise wird exemplarisch für den Standsicherheitsnachweis eines Plattenbalkenquerschnitts einer Stahlbetonbrücke auf Biegung angewandt. Auf die möglichen Schlussfolgerungen aus den probabilistischen Berechnungen wird abschließend kurz eingegangen.
A major advantage in the reassessment of existing structures is the possibility of including measured data that describe the actual properties and the current condition of the structure to be reassessed. Currently, the incorporation of such measured information is mostly unregulated. However, the use of measurement results is vitally important, since a measured data-based improvement of the computation models level of approximation can lead at least to more meaningful results, possibly to extended remaining life times of the structure and in the best case to a saving of resources. Conversely, not appreciating well measurable and relevant information can be equated with a waste of resources. In this paper, a concept for the comparable use of non-destructively measured data as basic variables in probabilistic reliability assessments is outlined and examined using a typical prestressed concrete road bridge as a case-study. An essential requirement is the calculation of measurement uncertainties in order to evaluate the quality of the measurement results comparably. In conclusion, the example of ultrasonic and radar measurement data is used to demonstrate the effects that the incorporation of the measured information has on the reliability of the structure.
The reassessment of bridges is becoming increasingly important. The basic requirement for analyses of structural safety is reliable knowledge about individual structures. This paper introduces the new approach to evaluate the quality of measured data gained from non-destructive testing (NDT) to provide reliable, objective, and relevant information about existing bridges. The purpose is to relate this validated knowledge to probabilistic analyses. Bridging the gap between NDT and numerical reassessments indicates reduced numerical uncertainties and residual service time extensions. This paper deals with an application of this approach using measurement data collected by ultrasonic technique at a prestressed concrete bridge.
The through-life management of our constantly ageing infrastructure is a basic requirement in order to ensure their structural safety and serviceability. Each structure experiences deterioration processes with time leading to a decrease of structural safety and serviceability. The design of new structures considers the expected deterioration for a defined period, the design service life. However, a frequent survey of structural safety controlling structural condition should be mandatory and a maintenance plan should be an integral part of the design. In addition, many structures have exceeded their design service life already or are very close to it leading to an increasing demand for condition assessment. On the one hand, assumptions made during design are not valid any more due to change of the loads, e.g., increasing traffic loads in terms of number and weights. On the other hand, design codes evolved over time in such a way that existing structures do not comply with today’s standards. In all these cases, the through-life management is an important tool to maintain the accessibility of existing structures with known reliability.
In line with the new Model Code for Concrete Structures, which includes guidance for both – design of new structures and assessment of existing structures, the Task Group 3.3 focused on the compilation of a state-of-the-art guideline for the through-life management of existing concrete structures, including:
Data acquisition by testing and monitoring techniques;
Condition assessment for the evaluation of existing structures;
Performance prediction using advanced methods;
Decision-making procedures to perform a complete assessment of existing structure.
The overall objective of the through-life management is the assessment of the current condition and the estimation of the remaining service life under consideration of all boundary conditions.
This working paper summarises the current state of knowledge and research on the application of sensors in road pavements, designed to record input quantities and characteristics for structural assessment. In this working paper, sensors generally refer to technical equipment that can used to record the values of physical quantities and display them for interpretation.
The working paper deals with every type of sensor that is permanently connected to the road, i.e. sensors that are installed – in the bound and unbound courses of the superstructure as well as in the sub-base/sub-structure, – next to or above the road (for example on masts) and can contribute to structural recording and its subsequent assessment. This can also include sensors that are primarily used for a different purpose (e.g. traffic control). However, this working paper only describes the application of sensors that are installed primarily for other purposes for the sake of completeness; special publications (e.g. Notes on detection technologies in road traffic) are available for the respective installation situations.
This contribution attempts to shed light on the application of POD analyses and measurement uncertainty calculations in nondestructive testing of concrete structures to provide useful and quality-assured information for reliability assessments of our built environment - with an emphasis on ground penetrating radar. It is shown that signal processing techniques affect POD analysis results to varying degrees, that measurement uncertainties are useful to validate PODs, and that the utilization of both POD analysis and measurement uncertainty calculations can pave the way to NDT-based reliability assessment, which will be exemplarily demonstrated in conclusion – generally aiming to derive those maintenance strategies and actions that are in line with actual demands.
This data set contains three different data types obtained from concrete specimens. For each specimen, the rebound numbers, ultrasonic data (ultrasonic velocity, time of flight), and destructive concrete strength are given. Two kind of specimen geometries were tested: cubes and drilled cores. The files are labeled according to the specimen geometry as "cube" or "core" and the type of measurement data as "compressive_strength", "rn_R" and "rn_Q" for rebound numbers as well as "us" for ultrasonic data. The ultrasonic data were generated by six independent laboratories, the rebound numbers by five independent laboratories and the destructive tests by one laboratory. The designation of each specimen establishes the relationship between the different data types.
"This data set contains three different data types obtained from concrete specimens. For each specimen, the rebound numbers, ultrasonic data (ultrasonic velocity, time of flight), and destructive concrete strength are given. Two kind of specimen geometries were tested: cubes and drilled cores. The files are labeled according to the specimen geometry as "cube" or "core" and the type of measurement data as "compressive_strength", "rn_R" and "rn_Q" for rebound numbers as well as "us" for ultrasonic data. The ultrasonic data were generated by six independent laboratories, the rebound numbers by five independent laboratories and the destructive tests by one laboratory. The designation of each specimen establishes the relationship between the different data types."