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Energiedissipierende Fassadenverankerung mit Crashmaterial für explosionsbeanspruchte Gebäude
(2014)
Wenn repräsentative Bauwerke wie Botschaften und Flughäfen außergewöhnlichen Lasten aus Explosion ausgesetzt sind, dann kann das Ausmaß des zu erwartenden Schadens aus einer solchen Belastung durch den Einsatz von energiedissipierenden Schutzbauteilen in der Fassadenverankerung begrenzt werden. Bisher ist über das Tragverhalten solcher Schutzbauteile wenig bekannt. In diesem Aufsatz werden Konstruktion und Wirkungsweise einer Verankerung für vorgehängte Fassaden vorgestellt, die in der Lage sind, einen Teil der Stoßenergie über Verformung eines Crashmaterials zu dissipieren. Versuche an einer bauteilähnlichen Konstruktion liefern Informationen über das Tragverhalten der Fassadenverankerung, insbesondere bei dynamischen Belastungen. Aus den Ergebnissen wird ein Konzept für die Vordimensionierung der vorgestellten Schutzbauteile abgeleitet.-----------------------------------------------------------------------------------------------------------------------------------------------------------
In the past few years public awareness of the need to protect structures against blast effects has risen. Blast wave energy is transmitted to the supporting structure by its façade connectors. Energy dissipating protective components placed at the connectors allow protecting people in the building as well as the primary building structure from damage. In this paper we present a protective component that dissipates blast energy by crash material. The report explores the system's fundamentals of operation from an experimental point of view. The results of dynamic tests are the basis of a design concept for the protective components.
Die Forderung, für repräsentative Bauwerke wie Botschaften und Flughäfen auch außergewöhnliche Lasten aus Explosion zu berücksichtigen, wurde in jüngerer Vergangenheit zunehmend gestellt. Das aufgrund dieser Lasten zu erwartende Schadensausmaß kann durch den Einsatz von energiedissipierenden Schutzbauteilen in der Fassadenbefestigung begrenzt werden. Die Dissipation der Explosionsenergie in den Schutzbauteilen kann beispielsweise über ein Crashmaterial erfolgen. In diesem Aufsatz werden Untersuchungen an zementgebundenen Materialien, die diesem Zweck dienen sollen, vorgestellt. Der Einfluss unterschiedlicher Zusätze auf die für ein Crashmaterial maßgebenden Eigenschaften wird in einer Parameterstudie untersucht. Als besonders geeignet wird ein Material identifiziert, bei dem die Zugabe eines Gasbildners das Matrixgefüge im Hinblick auf das gewünschte Kraft-Verformungs-Verhalten positiv verändert. Dynamische Versuche mit diesem Material geben Aufschluss über dessen Komprimierungsverhalten bei hohen Stauchraten.-----------------------------------------------------------------------------------------------------------------------------------------------
In the past few years public awareness of the need to protect structures against blast effects has risen. Energy dissipating protective components placed at the façade connectors allow protecting people in the building as well as the primary building structure from damage due to blast loads. One possibility to dissipate the blast energy is using protective components with crash material. This paper presents tests on cementitious crash materials studying the effect of different additives to the compression-behavior of the material. Additional experiments enable analyzing the material behavior under static and dynamic test conditions.
This paper deals with uncertainty considerations in damage diagnosis using the stochastic subspace-based damage detection technique. With this method, a model is estimated from data in a (healthy) reference state and confronted to measurement data from the possibly damaged state in a hypothesis test. Previously, only the uncertainty related to the measurement data was considered in this test, whereas the uncertainty in the estimation of the reference model has not been considered. We derive a new test framework, which takes into account both the uncertainties in the estimation of the reference model as well as the uncertainties related to the measurement data. Perturbation theory is applied to obtain the relevant covariances. In a numerical study the effect of the new computation is shown, when the reference model is estimated with different accuracies, and the performance of the hypothesis tests is evaluated for small damages. Using the derived covariance scheme increases the probability of detection when the reference model estimate is subject to high uncertainty, leading to a more reliable test.
The local asymptotic approach is promising for vibration-based fault diagnosis when associated to a subspace-based residual function and efficient hypothesis testing tools. It has the ability of detecting small changes in some chosen system parameters. In the residual function,the left null space of the observability matrix associated to a reference model is confronted to the Hankel matrix of output covariances estimated from test data. When this left null space is not perfectly known from a model, it should be replaced by an estimate from data to avoid model errors in the residual computation. In this paper, the asymptotic distribution of the resulting data-driven residual is analyzed and its covariance is estimated, which includes also the covariance related to the reference null space estimate. The advantages of the data-driven residual are demonstrated in a numerical study, and the importance of including the covariance of the reference null space estimate is shown, which increases the detection Performance.
Temperature variation can be a nuisance that perturbs vibration based structural health monitoring (SHM) approaches for civil engineering structures. In this paper, temperature affected vibration data is evaluated within a stochastic damage detection framework, which relies on a null space based residual. Besides two existing temperature rejection approaches – building a reference state from an averaging method or a piecewise method – a new approach is proposed, using model interpolation. In this approach, a general reference model is obtained from data in the reference state at several known reference temperatures. Then, for a particular tested temperature, a local reference model is derived from the general reference model. Thus, a well fitting reference null space for the formulation of a residual is available when new data is tested for damage detection at an arbitrary temperature. Particular attention is paid to the computation of the residual covariance, taking into account the uncertainty related to the null space matrix estimate. This improves the test performance, contrary to prior methods, for local and global damages, resulting in a higher probability of detection (PoD) for the new interpolation approach compared to previous approaches.
Temperature variation can be a nuisance that perturbs vibration based structural health monitoring (SHM) approaches for civil engineering structures. In this paper, temperature affected vibration data is evaluated within a stochastic damage detection framework, which relies on a null space based residual. Besides two existing temperature rejection approaches – building a reference state from an averaging method or a piecewise method – a new approach is proposed, using model interpolation. In this approach, a General reference model is obtained from data in the reference state at several known reference temperatures.
Then, for a particular tested temperature, a local reference model is derived from the general reference model. Thus, a well fitting reference null space for the formulation of a residual is available when new data is tested for damage detection at an arbitrary temperature. Particular attention is paid to the computation of the residual covariance, taking into account the uncertainty related to the null space Matrix estimate. This improves the test performance, contrary to prior methods, for local and global damages, resulting in a higher probability of detection (PoD) for the new interpolation approach compared to previous approaches.
In der aktuellen Projektphase liegt der Fokus auf der Datenaufnahme, -bearbeitung und -speiche-rung mit dem Ziel, automatisierte Auswerteverfahren einsetzen zu können. Aktuell wurden primär punktuelle Messungen an ausgewählten Messtagen aufgenommen. Die Systeme sollen so weiter-entwickelt werden, dass sie sich auch für kontinuierliche Messungen im Rahmen von Monitoring-aufgaben eignen.
Ein wichtiger Fokus bei der Auswertung ist die Kombination mit numerischen Modellen, die mithilfe von Bayesian Update Verfahren und den aufgenommenen Messdaten kalibriert und im Verlauf der Monitoringaufgabe angepasst werden sollen. Insbesondere sollen auch zeitabhängige Modelle, die eine zeitliche Entwicklung von Struktureigenschaften beinhalten (Kriechen, Schwinden, Ermüdung, Korrosion) dazu verwendet werden, die zukünftige Performance der Struktur bewerten zu können. Basierend darauf werden dann Konzepte zur Planung von Inspektion und Wartung erstellt.
This paper deals with vibration-based damage localization and quantification from output-only measurements. We describe an approach which operates on a data-driven residual vector that is statistically evaluated using information from a finite element model, without updating the parameters of the model. First, the damaged elements are detected in statistical tests, and second, the damage is quantified only for the damaged elements. We propose a new residual vector in this context that is based on the transfer matrix difference between reference and damaged states, and compare it with a previously introduced subspace-based residual. We show localization and quantification on both residuals in simulations.
Environmental based perturbations influence significantly the ability to identify structural dam-age in Structural Health Monitoring. Strategies are needed to classify such effects and consider them appropri-ately in SHM. It has to be considered if seasonal effects just mask the structural response or if temperature itself correlates to a weakening of the structure. Various methods have been developed and analyzed to separate environmental based effects from damage induced changes in the measures. Generally, two main approaches have emerged from research activity in this fields: (a) statistics-based tools analyzing patterns in the data or in computed parameters and (b) methods, utilizing the structural model of the bridge considering environmental as well as damage-based changes of stiffness values. With the background of increasing affordability of sensing and computing technology, effort should be made to increase sensitivity, reliability and robustness of proce-dures, separating environmental from damage caused changes in SHM measures. The contribution describes an attempt to evaluate both general strategies, their advantages and drawbacks. In addition, two vibration moni-toring procedures are introduced, allowing for temperature-based perturbations of the monitoring data.
Subspace-based damage detection handling temperature effects and uncertainty in the reference
(2019)
Temperature variation can be a nuisance that perturbs vibration based structural health monitoring (SHM)approaches for civil engineering structures. In this paper, temperature affected vibration data is evaluated within a stochastic damage detection framework, which relies on a null space based residual. Besides two existing temperature rejection approaches – building a reference state from an averaging method or a piecewise method – a new approach is proposed, using model interpolation. In this approach, a general reference model is obtained from data in the reference state at several known reference temperatures. Then, for a particular tested temperature, a local reference model is derived from the general reference model. Thus, a well fitting reference null space for the formulation of a residual is available when new data is tested for damage detection at an arbitrary temperature. Particular attention is paid to the computation of the residual covariance, taking into account the uncertainty related to the null space matrix estimate. This improves the test performance, contrary to prior methods, for local and global damages, resulting in a higher probability of detection (PoD) for the new interpolation approach compared to previous approaches.