TY - CONF A1 - Braml, T. A1 - Wimmer, J. A1 - Maack, Stefan A1 - Küttenbaum, Stefan A1 - Kuhn, T. A1 - Reingruber, M. A1 - Gordt, A. A1 - Hamm, J. ED - Krieger, J. T1 - Datenablage als Grundlage für den digitalen Zwilling eines Bauwerks – Verwaltungsschale BBox N2 - Der Weg zur digitalen Brücke ist eingeschlagen. Im Bereich der Planung, Bauüberwachung und -ausführung wird aktuell das Building Information Modelling (BIM) eingeführt. Ist eine Brücke in der Baulast von Bund und Ländern errichtet, wird ihr Zustand im Zuge von wiederkehrenden Bauwerksprüfungen nach DIN 1076 lückenlos überwacht. Abgespeichert werden die Informationen der Überwachung in einer Datenbank (ASB-ING Teilsystem Bauwerksdaten). Aus dieser Datenbank können anschließend relevante Informationen in ein objektspezifisches Bauwerksbuch überführt werden. In dieser Datenbank werden im Vorfeld definierte Daten abgespeichert. Reine Messdaten oder aber auch die verwendeten ingenieurtechnisch-physikalischen Modelle verbleiben in der Regel bei den beauftragen Dienstleistern. Zusammengefasst existieren verschiedene parallele Insellösungen der Informationsablage. Gegenstand verschiedener Forschungsanstrengungen ist es nun Lösungen zu finden, die einen ganzheitlichen Ansatz für den Informationsfluss von der Errichtung über den Betrieb bis hin zum Abbruch eines Bauwerkes sicherstellen. Im Rahmen einer prototypischen Entwicklung wird auf Grundlage, des für die Industrie 4.0 entwickelten open source Software Framework Eclipse BaSyx, ein möglicher Lösungsansatz – die Verwaltungsschale BBox (Bridge Box) - präsentiert. Dieser Lösungsansatz stellt das physikalisch-ingenieurtechnische Modell zur Zustandsbewertung der Brücke gedanklich in den Mittelpunkt. Unter der Voraussetzung einer durchgängigen Digitalisierung der gesamten Prozessschritte innerhalb der Lebensdauer der Brücke, kann jeder Planungs- und Fertigungsschritt, die Instandhaltung einschließlich des Rückbaus erfasst werden. Das Besondere hierbei ist, dass auch die Grundlagen der Bewertung, wie Messdaten, mit abgespeichert werden. Die Modellstruktur der Verwaltungsschale erlaubt hierbei eine bedarfsgerechte Granularität hinsichtlich der Messdaten auf allen virtuellen Ebenen, um das physikalisch-ingenieurtechnisch Modell mit Daten zu versorgen. Die gewählte Form der Datenablage bildet den Grundstein für zukünftige KI-Auswertungen z.B. mit den Methoden des Maschinellen Lernens (ML). Der Zugriff auf die dafür jeweils benötigten Daten wird durch die Ablage der Daten einschließlich Metadaten und den Einsatz einer Standard S3 Schnittstelle stark vereinfacht. Der Beitrag stellt die Entwicklung und die Systemarchitektur der BBox am Beispiel von 2 Projekten dar. T2 - 1. Fachkongress Digitale Transformation im Lebenszyklus der Verkehrsinfrastruktur CY - Esslingen, Germany DA - 29.05.2021 KW - Brücke KW - Digitalisierung KW - Digitaler Zwilling KW - Datenablage PY - 2021 UR - https://elibrary.narr.digital/article/99.125005/dtv202110075 SN - 2748-9221 IS - 1 SP - 75 EP - 84 PB - expert verlag AN - OPUS4-56159 LA - deu AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER - TY - JOUR A1 - Braml, T. A1 - Wimmer, J. A1 - Varabei, Y. A1 - Maack, Stefan A1 - Küttenbaum, Stefan A1 - Kuhn, T. A1 - Reingruber, M. A1 - Gordt, A. A1 - Hamm, J. T1 - Digitaler Zwilling: Verwaltungsschale BBox als Datenablage über den Lebenszyklus einer Brücke T1 - Digital twin: Asset administration shell BBox as data storage over the life cycle of a bridge N2 - Auf dem Weg zur digitalen Brücke existieren bereits erste Lösungen, die den Lebenszyklus einer Brücke abbilden können. Für die Planung, den Bau und den Unterhalt stehen unterschiedlichste Werkzeuge, z. B. BIM, DIN 1076, SIB-Bauwerke, Monitoring etc. zur Verfügung, die jeweils mit unterschiedlichen Datenformaten arbeiten. Für ein intelligentes Erhaltungsmanagement müssen aber alle Daten mit den verschiedenen Datenformaten zusammengeführt, abgelegt und so verwaltet werden können, dass über den gesamten Lebenszyklus einer Brücke die Abbildung eines ganzheitlichen digitalen Zwillings eines Bauwerks möglich ist. Die Autoren haben dafür mit BBox den Prototyp einer Verwaltungsschale (VWS) auf Grundlage von Industrie 4.0 entwickelt. Damit wird das physikalisch-ingenieurtechnische Modell zur Zustandsbewertung der Brücke in den Mittelpunkt gestellt und der gesamte Lebenszyklus einer Brücke kann unabhängig von Datenformaten digital erfasst werden. Da der Aufbau der VWS durch die Granularität optimal strukturiert ist, bietet die Ablage und Einspeisung von Messdaten sowohl die Grundlage eines Live-Monitorings als auch den Grundstein für maschinelles Lernen (ML). Der Datenzugriff via S3-Schnittstelle erleichtert die Entwicklung von eigenen Prognosemodellen mit Informationsmustern (SHIP – Structural Health Information Pattern). Am Beispiel der Heinrichsbrücke Bamberg wird die praktische intelligente Umsetzung des Bauwerksmonitorings inkl. VWS mit Informationsmustern und ML gezeigt. N2 - On the way to the digital bridge, initial solutions already exist that can map the life cycle of a bridge. A wide variety of tools are available for planning, construction and maintenance, e. g. BIM, DIN 1076, SIB structures, monitoring etc., each of which works with different data formats. For an intelligent maintenance management, however, all data with the different data formats must be merged, stored, and managed in such a way that the mapping of a holistic digital twin of a structure is possible over the entire life cycle of a bridge. For this purpose, the authors have developed BBox, a prototype of an asset administration shell (AAS) based on Industry 4.0. This places the physical-engineering model for assessing the condition of the bridge at the center, and the entire life cycle of a bridge can be digitally recorded independently of data formats. Since the structure of the AAS is optimally structured through granularity, the storage and feeding of measurement data provides both the basis of live monitoring and the cornerstone for machine learning (ML). The data access via S3 interface facilitates the development of own prognosis models with information patterns (SHIP – Structural Health Information Pattern). Using the Heinrichsbrücke Bamberg as an example, the practical intelligent implementation of structural monitoring incl. AAS with information patterns and ML is shown. KW - Digitaler Zwilling KW - Lebenszyklus KW - Bauwerksmonitoring KW - Industrie 4.0 KW - Maschinelles Lernen KW - Digital twin KW - Life cycle KW - Structural health monitoring KW - Industry 4.0 KW - Machine learning PY - 2021 U6 - https://doi.org/10.1002/bate.202100094 SN - 1437-0999 SP - 1 EP - 9 PB - Ernst & Sohn CY - Berlin AN - OPUS4-54017 LA - deu AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER - TY - CHAP A1 - Küttenbaum, Stefan A1 - Braml, T. A1 - Taffe, A. A1 - Maack, Stefan ED - Pellegrino, C. ED - Faleschini, F. ED - Zanini, M.A. ED - Matos, J.C. ED - Casas, J.R. ED - Strauss, A. T1 - From Uncertainty in Measurement to Certainty in Bridge Reassessment N2 - "The reassessment of bridges continues to take great importance both nationally and internationally. A major challenge is to find computation models reflecting the actual properties of the considered structures sufficiently accurate. Besides regular inspections, the conduction of advanced measurements is suitable to generate reliable information about a structure to be assessed. Prior to incorporating measurement results in reassessment, the relevance, the trueness, and the precision of the measured information needs to be stated. On the one hand, the use of information whose quality has not been assessed can lead to errors with serious consequences. On the other, the measurement of irrelevant information is inefficient. Although the use of measured data in assessment is currently mostly unregulated, their appreciation in reliability analyses is beneficial since the built environment can be assessed more realistically. Utilizing NDT in reassessment has the potential to extend remaining lifetimes of a structure, save resources, and improve infrastructural availabilities. The power of judgment regarding the decision on the reliability of an existing structure can be increased. In this contribution, an approach is outlined to process non-destructively gathered measurement data in a comparableway in order to include themeasured information in probabilistic reliability assessments of existing structures. An essential part is the calculation of measurement uncertainties. The effect of incorporating evaluated NDT-results is demonstrated by means of a prestressed concrete bridge and GPR measurements conducted on this bridge as a case-study. The bridge is assessed regarding SLS Decompression using the NDT-results." KW - Reliability KW - Assessment KW - Existing structures KW - NDT KW - Concrete PY - 2022 U6 - https://doi.org/10.1007/978-3-030-91877-4_58 VL - 200 SP - 509 EP - 517 PB - Springer CY - Cham AN - OPUS4-54019 LA - eng AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER - TY - CONF A1 - Braml, T. A1 - Wimmer, J. A1 - Maack, Stefan A1 - Küttenbaum, Stefan A1 - Kuhn, T. A1 - Reingruber, M. A1 - Gordt, A. A1 - Hamm, J. ED - Krieger, J. T1 - Datenablage als Grundlage für den digitalen Zwilling eines Bauwerks – Verwaltungsschale BBox N2 - Der Beitrag stellt die Entwicklung und die Systemarchitektur der BBox am Beispiel von 2 Projekten dar. T2 - 1. Fachkongress Digitale Transformation im Lebenszyklus der Verkehrsinfrastruktur CY - Esslingen, Germany DA - 29.06.2021 KW - Digitaler Zwilling KW - Bestandsbauwerke KW - Physikalisches Modell PY - 2021 SN - 978-3-8169-3530-8 SP - 75 EP - 84 PB - expert Verlag CY - Tübingen AN - OPUS4-52938 LA - deu AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER - TY - JOUR A1 - Küttenbaum, Stefan A1 - Braml, T. A1 - Taffe, A. A1 - Keßler, S. A1 - Maack, Stefan T1 - Reliability assessment of existing structures using results of nondestructive testing N2 - Making optimal decisions about the reliability of existing structures requires that the information used in assessment adequately represents the properties and the condition of the structures. The knowledge gap regarding a structure to be assessed can be successively filled by individually purposeful observations on site. This paper gives an overview of an approach for utilizing nondestructively gathered measurement results in reliability assessment of existing structures. An essential part of measurement-based stochastic modeling of basic variables is the calculation of measurement uncertainties, which serves to establish confidence in measurement, to ensure the comparability of unambiguously expressed measurement results, and to quantify the quality of the measured information. Regarding the current discourse on how to treat information collected on-site in the context of assessment, the authors recommend that measurement uncertainty becomes an uncertainty component mandatorily to be represented in measurement-based stochastic models. The main steps of the proposed concept are presented, and the advantages of its application are emphasized by means of a prestressed concrete bridge as case study. The bridge is assessed regarding the serviceability limit state decompression using ultrasonic and radar data measured at the structure. KW - Bridge KW - Measurement uncertainty KW - Prestressed concrete KW - Stochastic modeling KW - Probabilistic methods PY - 2021 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:kobv:b43-529927 SN - 1751-7648 VL - 22 IS - 5 SP - 2895 EP - 2915 PB - John Wiley & Sons Ltd CY - Oxford AN - OPUS4-52992 LA - eng AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER - TY - JOUR A1 - Küttenbaum, Stefan A1 - Maack, Stefan A1 - Taffe, A. A1 - Braml, T. ED - Sykora, M. ED - Lenner, R. ED - de Koker, N. T1 - On the Treatment of Measurement Uncertainty in Stochastic Modeling of Basic Variables N2 - The acquisition and appropriate processing of relevant information about the considered system remains a major challenge in assessment of existing structures. Both the values and the validity of computed results such as failure probabilities essentially depend on the quantity and quality of the incorporated knowledge. One source of information are onsite measurements of structural or material characteristics to be modeled as basic variables in reliability assessment. The explicit use of (quantitative) measurement results in assessment requires the quantification of the quality of the measured information, i.e., the uncertainty associated with the information acquisition and processing. This uncertainty can be referred to as measurement uncertainty. Another crucial aspect is to ensure the comparability of the measurement results.This contribution attempts to outline the necessity and the advantages of measurement uncertainty calculations in modeling of measurement data-based random variables to be included in reliability assessment. It is shown, how measured data representing time-invariant characteristics, in this case non-destructively measured inner geometrical dimensions, can be transferred into measurement results that are both comparable and quality-evaluated. The calculations are based on the rules provided in the guide to the expression of uncertainty in measurement (GUM). The GUM-framework is internationally accepted in metrology and can serve as starting point for the appropriate processing of measured data to be used in assessment. In conclusion, the effects of incorporating the non-destructively measured data into reliability analysis are presented using a prestressed concrete bridge as case-study. T2 - International Probabilistic Workshop 2022 (IPW2022) CY - Stellenbosch, South Africa DA - 09.09.2022 KW - Reliability KW - Assessment KW - Existing structures KW - Measurement uncertainty PY - 2022 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:kobv:b43-556580 SN - 2336-5382 VL - 36 SP - 109 EP - 118 PB - Czech Technical University CY - Prague AN - OPUS4-55658 LA - eng AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER - TY - JOUR A1 - Küttenbaum, Stefan A1 - Maack, Stefan A1 - Braml, T. A1 - Taffe, A. A1 - Haslbeck, M. T1 - Bewertung von Bestandsbauwerken mit gemessenen Daten. Teil 1: Konzept, Messungen und Leistungsfähigkeit der ZfP‐Verfahren N2 - Gegenüber dem Neubauentwurf können bei der Bewertung von bestehender Bausubstanz Sicherheitsreserven genutzt werden, da Unsicherheiten, die beim Bau auftreten können, besser bekannt oder nicht mehr vorhanden sind. Können solche Unsicherheiten genauer bewertet werden, z. B. durch die Feststellung der genauen Lage der Spannglieder bei einer Spannbetonbrücke, so können Sicherheitsbeiwerte reduziert werden, ohne dass es dabei zu Auswirkungen auf das normativ festgelegte Zuverlässigkeitsniveau kommt. Mittlerweile sind Prüfmethoden an Bauwerken wirtschaftlich einsetzbar und auch so leistungsfähig, dass die für die Tragfähigkeit und Gebrauchstauglichkeit wesentlichen Parameter identifiziert werden können. Ein wesentlicher Punkt ist hierbei die Integration derartiger Messergebnisse in Rechenmodelle, die für die Nachrechnung des Bauwerks verwendet werden. Dies können sowohl semiprobabilistische Rechenmodelle als auch vollprobabilistische Modelle sein. Bei semiprobabilistischen Methoden können aus den Messergebnissen Teilsicherheitsbeiwerte berechnet und abgeleitet werden, die dann in den bekannten Nachweisformaten gemäß den Eurocodes und der Nachrechnungsrichtlinie berücksichtigt werden. Bei vollprobabilistischen Nachweisen können die Messdaten in Form von Verteilungsdichtefunktionen mit gemessenen Variationskoeffizienten direkt in das Rechenmodell eingehen. In einer dreiteiligen Aufsatzreihe werden die Messverfahren und die Nutzung der Ergebnisse bei der Nachrechnung vorgestellt. Der vorliegende Teil 1 zeigt die Möglichkeiten des Einsatzes von zerstörungsfreien Prüfverfahren und bewertet deren Leistungsfähigkeit. Messen heißt wissen. Dieses Wissen spiegelt die Realität wider und soll den Tragwerksplaner bei der Entscheidungsfindung über die Sicherheit und Zuverlässigkeit von Bestandsbauwerken unterstützen. KW - Nachrechnung KW - Zerstörungsfreie Prüfung KW - Messunsicherheit KW - Brücken KW - Beton PY - 2019 U6 - https://doi.org/10.1002/best.201900002 SN - 1437-1006 VL - 114 IS - 6 SP - 370 EP - 382 PB - Ernst & Sohn Verlag für Architektur und technische Wissenschaften GmbH & Co. KG CY - Berlin AN - OPUS4-48156 LA - deu AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER - TY - CONF A1 - Küttenbaum, Stefan A1 - Braml, T. A1 - Maack, Stefan T1 - Refining stochastic models for the reassessment of bridges using advanced NDT-methods N2 - Increasing requirements on the infrastructure caused by more and heavier traffic coincide with both the aging and the progressive degradation of bridge constructions. These exemplary issues lead to a non-negligible need for reassessments of existing bridges. Compared to the new building design, safety reserves can be used in the evaluation of such existing structures, since uncertainties that may arise during the design, construction and previous Service time are better known or no longer present. Uncertainties can be evaiuated more precisely by measurements. In the meantime, the application of advanced NDT-methods on concrete structures have become so capable, that crucial structure Parameters like certain material properties or geometrical dimensions can be quantified without significant destructive interventions. The measured data can be explicitly incorporated into the probabilistic computation models used for the bridge reassessment in form of random variables. Therewith, a previously insufficient model can be refined to achieve a higher level of approximation. This contribution emphasises two fundamental steps of the measured data based probabilistic reassessment: The sensitivity analyses to identify the cruciai Parameters and the needed accuracy of the related information as well as the comparison with expected uncertainties of non-destructively measured Parameters. T2 - 17th International Probabilistic Workshop CY - Edinburgh, UK DA - 11.09.2019 KW - Measurement KW - Reassessment KW - NDT KW - Concrete bridges PY - 2019 SP - 99 EP - 105 AN - OPUS4-48998 LA - eng AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER - TY - JOUR A1 - Küttenbaum, Stefan A1 - Maack, Stefan A1 - Braml, T. A1 - Taffe, A. A1 - Strübing, T. T1 - Bewertung von Bestandsbauwerken mit gemessenen Daten - Teil 2: Berechnung der Tragwerkszuverlässigkeit unter Einbeziehung der ZfP-Messergebnisse T1 - Reassessment of existing structures based on measured data - Part 2: Structural reliability analyses using NDT results N2 - Durch die Einbeziehung von gemessenen Daten bei der Bewertung von bestehenden Bauwerken können Unsicherheiten bei der Beurteilung des Tragverhaltens reduziert werden, ohne das normative Zuverlässigkeitsniveau einzuschränken. Informationen sind die wesentliche Grundlage für die Analyse der Zuverlässigkeit von Tragwerken. Umso wichtiger ist die Kenntnis über die Präzision und die Richtigkeit der verwendeten Informationen. Aus messtechnischer Sicht kann ein Messwert, dem keine Messunsicherheit beigeordnet wurde, als wertlos erachtet werden. Liegt ein vollständig dokumentiertes Messergebnis vor, so ist die Qualität der gemessenen Information bekannt und deren Vergleichbarkeit gewährleistet. In diesem Beitrag wird am Beispiel einer Spannbetonbrücke und zweier Grenzzustände gezeigt, wie Messergebnisse aus der zerstörungsfreien Prüfung in probabilistische Nachweise von Bestandsbauwerken einfließen können und welche Auswirkungen die Implementierung von gemessenen Daten bei der Bewertung von Bestandsbauwerken haben kann. N2 - Every decision about the reliability of a structure is associated with uncertainties. The reassessment of existing structures remains a major challenge. The decisive difference compared to the design of new structures is the possibility and necessity to collect individual information about the actual condition and properties of the structure. Such knowledge should be appreciated in the reassessment in order to reduce uncertainties and increase the validity of the results. Reliability analyses using measured data require the comparability of measurement results and the evaluation of the quality of the measured information. Both requirements can be met by adequate measurement uncertainty considerations. Besides, the destructive interventions necessary for the measurements should be kept to a minimum. This paper shows how non-destructively gathered measurement results can be incorporated into probabilistic reassessments and which effects the implementation of measured data can have when evaluating existing structures, using a prestressed concrete bridge as a case-study. KW - Nachrechnung KW - Zerstörungsfreie Prüfung KW - Zuverlässigkeitsanalyse KW - Messung KW - Spannbetonbrücke PY - 2021 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:kobv:b43-519480 SN - 0005-9900 SN - 1437-1006 VL - 116 IS - 3 SP - 183 EP - 199 PB - Ernst & Sohn CY - Berlin AN - OPUS4-51948 LA - deu AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER - TY - CHAP A1 - Küttenbaum, Stefan A1 - Feistkorn, S. A1 - Braml, T. A1 - Taffe, A. A1 - Maack, Stefan ED - Rizzo, P. ED - Milazzo, A. T1 - Methods to Quantify the Utility of NDT in Bridge Reassessment N2 - The purpose of this contribution is to introduce and to apply the developed approach of incorporating non-destructively gathered measurement results (instead of deterministic information and assumptions) into a reassessment model of a typical prestressed concrete road bridge and to outline the advantages. An essential part is the quality evaluation of the non-destructively measured information, that deals primarily with two questions. Could the object or parameter to be obtained reliably detected and if, how accurate are the inspection results achieved? Therefore, the importance of the combination of a probability of detection (POD)-approach and measurement uncertainty calculations is emphasized. With regard to the introduced case-study it is shown, for which structure parameters an assumption deviating from the actual (and measurable) situation has a particularly strong (and possibly arithmetically unfavorable) influence on the structural reliability. Measurements on such parameters are particularly beneficial for a reliable and robust reassessment. In conclusion, the individual reassessment results without consideration and with consideration of evaluated non-destructive inspection results are compared. KW - Non-destructive testing (NDT) KW - Structural safety KW - Concrete bridges KW - Measurement uncertainty KW - Probability of detection (POD) PY - 2021 SN - 978-3-030-64593-9 U6 - https://doi.org/10.1007/978-3-030-64594-6_40 SN - 2366-2557 VL - 127 SP - 403 EP - 413 PB - Springer Nature Switzerland CY - Cham, Switzerland AN - OPUS4-52009 LA - eng AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER - TY - CONF A1 - Küttenbaum, Stefan A1 - Taffe, A. A1 - Braml, T. A1 - Maack, Stefan ED - Alexander, M. G. ED - Beushausen, H. ED - Dehn, F. ED - Moyo, P. T1 - Reliability assessment of existing bridge constructions based on results of non-destructive testing N2 - The non-destructive testing methods available for civil engineering (NDT-CE) enable the measurements of quantitative parameters, which realistically describe the characteristics of existing buildings. In the past, methods for quality evaluation and concepts for validation expanded into NDT-CE to improve the objectivity of measured data. Thereby, a metrological foundation was developed to collect statistically sound and structurally relevant information about the inner construction of structures without destructive interventions. More recently, the demand for recalculations of structural safety was identified. This paper summarizes a basic research study on structural analyses of bridges in combination with NDT. The aim is to use measurement data of nondestructive testing methods as stochastic quantities in static calculations. Therefore, a methodical interface between the guide to the expression of uncertainty in measurement and probabilistic approximation procedures (e.g. FORM) has been proven to be suitable. The motivation is to relate the scientific approach of the structural analysis with real information coming from existing structures and not with those found in the literature. A case study about the probabilistic bending proof of a reinforced concrete bridge with statistically verified data from ultrasonic measurements shows that the measuring results fulfil the requirements concerning precision, trueness, objectivity and reliability. T2 - International Conference on Concrete Repair, Rehabilitation and Retrofitting (ICCRRR 2018) CY - Cape Town, South Africa DA - 19.11.2018 KW - NDT KW - Concrete KW - Probabilistic reassessment KW - Bridge PY - 2018 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:kobv:b43-467898 SN - 2261-236X VL - 199 SP - 06001, 1 EP - 9 PB - MATEC Web of Conferences AN - OPUS4-46789 LA - eng AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER - TY - CONF A1 - Küttenbaum, Stefan A1 - Maack, Stefan A1 - Taffe, A. A1 - Braml, T. T1 - Non-destructive testing in civil engineering: A valuable source of information for reliability assessments N2 - 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. T2 - IABSE Symposium 2019 CY - Guimarães, Portugal DA - 27.03.2019 KW - NDT KW - Measurement KW - Structural safety KW - Uncertainty KW - Existing bridges PY - 2019 SN - 978-3-85748-163-5 VL - 112 SP - 1132 EP - 1139 PB - IABSE (International Association for Bridge and Structural Engineering) CY - Zurich, Switzerland AN - OPUS4-47815 LA - eng AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER - TY - JOUR A1 - Küttenbaum, Stefan A1 - Braml, T. A1 - Heinze, M. A1 - Kainz, C. A1 - Keuser, M. A1 - Kotz, P. A1 - Lechner, T. A1 - Maack, Stefan A1 - Reinke, K.-D. A1 - Schulze, S. A1 - Soukup, A. A1 - Stettner, C. A1 - Taffe, A. A1 - Wöstmann, Jens T1 - Guideline on NDT-supported reliability assessment of existing structures - Current developments in Germany N2 - Information about an existing structure can be collected at certain costs to evaluate the reliability and condition as realistically as necessary. This information can be relevant or irrelevant, true or biased, precise or imprecise. The incorporation of relevant and quality-assessed measured information into reliability reassessment offers the chance to extend remaining lifetimes and support decision making about optimal actions or maintenance strategies. This paper shows recent developments in a national research project that aims to produce a guideline on the NDT-based, structure-specific modification of partial safety factors. The general methodology, results from recalculations according to the Eurocodes and metrologically solvable testing tasks relevant in the recalculation of the concrete bridges are shown and compared with the non-destructive testing methods applicable to concrete bridges. A case study is used to demonstrate that as-built drawings, in this case of the positions of tendons and shear reinforcement, can be verified using the radar method. KW - Non-destructive testing KW - Concrete bridges KW - Partial safety factor modification PY - 2023 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:kobv:b43-584862 SN - 2509-7075 VL - 6 IS - 5 SP - 537 EP - 543 PB - Ernst & Sohn CY - Berlin AN - OPUS4-58486 LA - eng AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER - TY - CONF A1 - Küttenbaum, Stefan A1 - Braml, T. A1 - Taffe, A. A1 - Maack, Stefan ED - Li, J. ED - Spanos, D. ED - Chen, J. B. ED - Peng, Y. B. T1 - Towards NDT-supported decisions on the reliability of existing bridges N2 - 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. T2 - 13th International Conference on Structural Safety and Reliability (ICOSSAR 2021-2022) CY - Online meeting DA - 13.09.2022 KW - Measurement uncertainty KW - Reliability assessment KW - Existing structures KW - Concrete Bridge KW - Non-Destructive Testing (NDT) PY - 2023 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:kobv:b43-583013 SP - 1 EP - 10 AN - OPUS4-58301 LA - eng AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER - TY - CONF A1 - Küttenbaum, Stefan A1 - Kainz, C. A1 - Braml, T. T1 - Reliability assessment of existing concrete bridges with geometrical NDT results - Case studies N2 - The results of and the validity in reliability assessment of existing bridges essentially depend on the information available about the considered system. Information about the actual condition as well as structural and material characteristics can be observed on-site to refine the computation models used in assessment. Non-destructive testing (NDT) methods for concrete structures are capable of reconstructing missing, questioned, or inconsistent as-built plans. This contribution summarizes recent developments within the scope of the national pre-standardization project “ZfPStatik”, which aims to prepare a guideline about NDT-supported structural analyses. The focus is on the purposeful and explicit utilization of geometrical tendon and reinforcement bar positions (measured on-site using the ultrasound echo and ground penetrating radar (GPR) techniques) in probabilistic reliability analyses — shown by means of real case studies. The well-established first order reliability method is applied to different concrete bridges, which are typical for the German road bridge stock, to demonstrate the utility of incorporating quality-evaluated NDT-results in terms of changes in structural reliability. T2 - 13th German-Japanese Bridge Symposium CY - Osaka, Japan DA - 28.08.2023 KW - Non-destructive testing KW - Prestressed concrete KW - Data-informed reliability analysis PY - 2023 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:kobv:b43-582727 SP - 29 EP - 40 PB - Osaka Metropolitan University CY - Osaka AN - OPUS4-58272 LA - eng AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER -