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Eingeladener Vortrag
- nein (1)
Indoor air pollutants influence the health and comfort of building occupants and consequently the energy consumption of the building. The pollutants are emitted by various sources.
Among these sources, building products are of particular importance. To control the emission of pollutants from building materials, a few different voluntary labelling Systems have been introduced in Europe. In Germany also mandatory “Principles for the health assessment of construction products used in interiors” have been applied for the technical approval of floor coverings since 2004. This procedure is based on the assessment scheine of the Committee for Health-related
Evaluation of Building Products (AgBBScheme). The sensory-limit settings for building-material label Blue Angel offer consumer to differ not only low-emission but also low-odour Building materials from another building materials.
Emissions from building products can considerably impair the quality of indoor air. The AgBB scheme is employed to evaluate the emissions of volatile organic compounds (VOC) from building products. The hygienic evaluation according to the AgBB scheme requires product-specific measuring procedures.
These are available for a range of products. They have been validated in co-operation with several research and testing institutes and have been included in the criteria for awarding the Blue Angel ecolabel.
The evaluation is, however, stricter and generally has lower limits. VOC emissions and odours can cause health problems so testing using sensors is an important element in the evaluation of building products and has – for reasons of precaution – been set down in the AgBB scheme. The main goal of the project was to derive a method of evaluation using sensors and limits for awarding the Blue Angel and for the AgBB scheme. Based on the research conducted (see Chapter 5 Results and Discussion), perceived intensity and hedonics were suggested as a suitable Evaluation method. The derivation of limits for the evaluation using sensors on the 28th day was effected in the present study through the additional questioning of the test subjects on the reasonability of a sample.
For the Blue Angel, there could be different limits of perceived intensity and hedonics for each group of products. A preliminary suggestion for possible limits – for all product groups – is a perceived intensity of 7 pi (5 pi + 2 pi as confidence coefficient, Chapter 5.1.5) and -1 (0+/-0.8, rounded to -1) for the hedonic value.
VOC emissions from building materials accompanying sensory tests for different evaluation schemes
(2011)
Within a follow up project of a former study (Horn et al. 2005) emissions and odor from different types of construction products were investigated (financed by the German Federal Environmental Agency - FKZ 37 07 62 300).
The tested materials were mainly those used for construction of floors indoors. For this type of materials in Germany several labeling procedures exist which are based on Emission chamber testing. Two important labeling procedures in Germany are based on the AgBBevaluation scheme (Däumling et al. 2005). For some applications (flooring material) it is the mandatory Ü-mark of DIBt (German Institute for Construction Technology). Furthermore for carpets, adhesives and many other products, like sealants, mattresses, furniture and so on the voluntary blue angel mark exist. Within this scheme the volatile organic compounds (VOC) compounds are measured with well established procedures and are evaluated with LCI-values which were derived from health information.
Beyond that many complaints according to building products are caused by odors. Therefore an evaluation procedure for the odor is very important and should be implemented into all of the mentioned labeling schemes.
Biogenic impact on materials
(2011)
Materials as constituents of products or components of technical systems rarely exist in isolation and many must cope with exposure in the natural world. This chapter describes methods that simulate how a material is influenced through contact with living systems such as microorganisms and arthropods. Both unwanted and desirable interactions are considered. This biogenic impact on materials is intimately associated with the environment to which the material is exposed (Materials-Environment Interaction, Chap. 15). Factors such as moisture, temperature and availability of food sources all have a significant influence on biological systems. Corrosion (Chap. 12) and wear (Chap. 13) can also be induced or enhanced in the presence of microorganisms. Section 14.1 introduces the categories between desired (biodegradation) and undesired (biodeterioration) biological effects on materials. It also introduces the role of biocides for the protection of materials. Section 14.2 describes the testing of wood as a building material especially against microorganisms and insects. Section 14.3 characterizes the test methodologies for two other groups of organic materials, namely polymers (Sect. 14.3.1) and paper and textiles (Sect. 14.3.2). Section 14.4 deals with the susceptibility of inorganic materials such as metals (Sect. 14.4.1), concrete (Sect. 14.4.2) and ceramics (Sect. 14.4.3) to biogenic impact. Section 14.5 treats the testing methodology concerned with the performance of coatings and coating materials. In many of these tests specific strains of organisms are employed. It is vital that these strains retain their ability to utilize/attack the substrate from which they were isolated, even when kept for many years in the laboratory. Section 14.6 therefore considers the importance of maintaining robust and representative test organisms that are as capable of utilizing a substrate as their counterparts in nature such that realistic predictions of performance can be made.
During the mineralisation of metal carbonates MCO3 (M = Ca, Sr, Ba, Mn, Cd, Pb) liquid-like amorphous intermediates emerge. These intermediates that form via a liquid/liquid phase separation behave like a classical emulsion and are stabilized electrostatically. The occurrence of these intermediates is attributed to the formation of highly hydrated networks whose stability is mainly based on weak interactions and the variability of the metal-containing pre-critical clusters. Their existence and compositional freedom are evidenced by electrospray ionization mass spectrometry (ESI-MS). Liquid intermediates in non-classical crystallisation pathways seem to be more common than assumed.
Germination induces the glucosylation of the Fusarium mycotoxin deoxynivalenol in various grains
(2012)
In food, the mycotoxin deoxynivalenol (DON) often occurs in conjunction with its 3-β-D-glucopyranoside (D3G). The transformation of DON to D3G through glucosylation is catalysed by plant enzymes, however, the exact circumstances are not well understood. In order to investigate the role of enzymatic glucosylation in germinating grains, DON treated kernels were steeped and germinated under laboratory conditions. Furthermore, the effect of malting on the DON content of the contaminated barley was investigated. In all cases, DON and its derivatives were quantified by HPLC-MS/MS before, during and after the experiments. Amongst the six tested cereals; wheat, rye, barley, spelt, and millet transformed DON to D3G during germination whilst the oats were inactive. For wheat, barley, and spelt the initial DON content was reduced by 50%, with the loss being almost entirely accounted for by D3G formation. As D3G might be cleaved during digestion, the elevated D3G concentration may obscure the toxicologically relevant DON content in processed food and beer. The germination process has a major influence on the 'masking' of DON, leading to high quantities of D3G that may be missed in common mycotoxin analyses.
New methodologies for evaluating the reliability of NDE systems are discussed in accordance with the specific
requirements of industrial application. After a review of the substantive issues from the previous decades, the go
forward guidance is concluded.
For high safety demands a quantitative probability of detection (POD) created from hit miss
experiments or signal response analysis and ROC (Receiver Operating Characteristics) are typically created. The
modular model distinguishes between the influence of pure physics and technique, industrial application factors
and the human factor and helps to learn what factors are covered by modelling, open or blind trials. A new
paradigm is offered to consider the POD or reliability of the system as a function of the configuration of input
variables and use it for optimisation rather than for a final judgement. New approaches are considered dealing
with real defects in a realistic environment, affordable but precisely like the Bayesian approach or model assisted
methods.
Among the influencing parameters, the human factor is of high importance. A systematic psychological
approach helps to find out where the bottlenecks are and shows possibilities for improvement.
The Probability of Detection (POD) is used to evaluate the detectability of non-destructive testing (NDT) systems. The POD is highly dependent on the amount of available data. The Bayesian approach provides a solution to compute POD-curves in case of a small amount of real defects without losing the necessary information. The result contains the needed information for the computation of POD-curves for real defects with an acceptable amount of information, even for sparse amount of data. In this paper is shown limitations of the Bayesian approach and how it can be applied to NDT. The Bayesian approach is applied in this case to the evaluation of radiographic testing. Bayesian approach is applied to determine POD-curves for the inspection techniques of nuclear fuel disposal canisters. The reason for using Bayesian approach is the high safety demands and also the low amount of real defects due to the high quality of the reliable production techniques.
This paper gives an introduction to the field of human factors with the focus on their influence on the reliability of NDT in the nuclear energy production (in-service inspections) and final storage of highly radioactive nuclear waste. A set of methodological tools has been developed in the scope of three projects, namely: 1) a theoretical model describing potential human factors influencing manual ultrasonic inspection performance during inservice inspections in nuclear power plants; 2) a method for identifying potential human errors during acquisition and evaluation of data gathered with mechanized ultrasonic, radiographic and eddy-current systems, as well as visual testing with a remote camera (Failure Modes and Effects Analysis, FMEA); and 3) use of eye tracking methodology to optimize existing procedures and practices. The experimental results have shown that time pressure, mental workload and experience influence the quality of the inspection performance. Noticeable were influences from the organization of the working schedule, communication, procedures, supervision and demonstration task. Implementing human redundancy in critical tasks, such as defect identification, as well as using an automated aid (software) to help operators in decision making about the existence and size of defects, could lead to other kinds of problems, namely social loafing (excerpting less effort when working on tasks collectively as compared to working alone) and automation bias (uncritical reliance on the proper function of an automated system without recognizing its limitations and the possibilities of automation failure) that might affect the reliability of NDT in an undesired manner.
Synchrotron X-ray radiography and tomography investigations of a custom-made polymer electrolyte membrane fuel cell optimised for visualisation purposes are presented. The 3D water distribution and transport pathways in the porous carbon fibre gas diffusion layers (GDLs) were investigated. The authors found that water is not only moving from the GDL into the channel, but can also take the opposite way, that is, from the channel into free pore space of the GDL. Such movement of water into the opposite direction has been subject of speculations but has so far not yet been reported and might bring new insights into the general water transport behaviour, which might give new aspects to the general description of water transport processes and influence modelling assumptions to describe the process taking place in the GDL.
Im Zuge der Anwendung des Schadens-Toleranz-Prinzips wird ein adäquates zerstörungsfreies Prüfsystem benötigt um strukturelle Integrität sicher zu stellen. Wenn ein zerstörungsfreies Prüfsystem jedoch bis zu den Grenzen der Detektionsfähigkeit beansprucht wird, liefert es keine übereinstimmende Indikationen der Defektentdeckung (Hit/Miss). Deshalb wird dessen Fähigkeit Defekte zu entdecken als Entdeckungswahrscheinlichkeit (POD Probability of Detection) ausgedrückt. In der herkömmlichen 'Signal Response' Signal-Antwort-Zuverlässigkeitsanalyse wird die Entdeckungswahrscheinlichkeit als eine Funktion der Defektgröße angegeben. Die Eignung des Prüfsystems wird durch den Vergleich der Größe des Defektes, der zuverlässig entdeckt wird, mit der des größten zulässigen Defektes, der die strukturelle Integrität nicht gefährdet, verifiziert. Analysen moderner Strukturen zeigen aber, dass auch andere Parameter den Schweregrad des Defektes bzgl. der Integrität der Struktur bestimmen können. Im Rahmen der Multi-Parameter-Zuverlässigkeitsanalyse kann die Entdeckungswahrscheinlichkeit als eine Funktion verschiedener Einflussparameter ausgedrückt werden. Wenn die Eignung des zerstörungsfreien Prüfsystems bestimmt wird, muss die Fähigkeit des Systems Defekte zu entdecken gegenüber dem kritischen Wert genau des Parameters ausgedrückt und geprüft werden, der den Schweregrad des Defektes für die Integrität der Struktur bestimmt. Die Nichterfüllung dieser Forderung kann zur Ablehnung von intakten Teilen oder der Akzeptanz von schlechten Teilen führen. Das Prinzip wird anhand von longitudinalen Ultraschall-Sende-Empfangs-Prüfdaten der Gußeisenmatrix mit oberflächenoffenen, semi-elliptischen, rißartigen Defekten demonstriert.
Das Ziel des Artikels ist es eine Übersicht über neue methodische Ansätze und Verfahren zur Bewertung der Zuverlässigkeit von ZfP-Systemen in Übereinstimmung mit den spezifischen Anforderungen verschiedener industrieller Anwendungen zu geben. Nach einem Überblick über die in den vergangenen Jahrzehnten erreichten Fortschritte, wird der Fokus auf die gegenwärtigen Entwicklungen gerichtet. Für hohe Sicherheitsanforderungen wurde die quantitative Fehlerauffindwahrscheinlichkeit (probability of detection, POD) basierend auf 'hit/miss'- oder 'Signal-Response'-Analysen und die ROC-Analyse (Receiver Operating Characteristics) als typische Werkzeuge entwickelt. Im Rahmen des modularen Modells für die ZfP-Zuverlässigkeit unterscheidet man zwischen den rein physikalisch-technischen Einflussfaktoren, den industriellen Anwendungsfaktoren und den menschlichen Faktoren. Es hilft zum Beispiel zu erkennen, welche dieser Faktoren man in Modellierungsrechnungen bzw. mittels offenen oder Blindversuchen untersuchen kann. Ein neues Paradigma wird für die Betrachtung der POD als eine Funktion der gewählten Systemparameter und somit als Optimierungswerkzeug verwendet, anstelle sie für die endgültige Beurteilung zu nehmen. Zur Handhabung der Zuverlässigkeitsuntersuchung von realen Defekten in einer realistischen Umgebung werden ökonomisch vertretbare, aber dennoch präzise genug arbeitende Methoden, wie der Ansatz von Bayes oder modellbasierte Methoden vorgestellt. Die menschlichen Faktoren sind oft von ausschlaggebender Wichtigkeit für die Gesamtzuverlässigkeit. Hier hilft ein systematischer psychologischer Ansatz die Engpässe und Verbesserungsmöglichkeiten zu finden.
In a systematic approach we synthesized a new series of fluorescent probes incorporating donor–acceptor (D-A) substituted 1,2,3-triazoles as conjugative π-linkers between the alkali metal ion receptor N-phenylaza-[18]crown-6 and different fluorophoric groups with different electron-acceptor properties (4-naphthalimide, meso-phenyl-BODIPY and 9-anthracene) and investigated their performance in organic and aqueous environments (physiological conditions). In the charge-transfer (CT) type probes 1, 2 and 7, the fluorescence is almost completely quenched by intramolecular CT (ICT) processes involving charge-separated states. In the presence of Na+ and K+ ICT is interrupted, which resulted in a lighting-up of the fluorescence in acetonitrile. Among the investigated fluoroionophores, compound 7, which contains a 9-anthracenyl moiety as the electron-accepting fluorophore, is the only probe which retains light-up features in water and works as a highly K+/Na+-selective probe under simulated physiological conditions. Virtually decoupled BODIPY-based 6 and photoinduced electron transfer (PET) type probes 3–5, where the 10-substituted anthracen-9-yl fluorophores are connected to the 1,2,3-triazole through a methylene spacer, show strong ion-induced fluorescence enhancement in acetonitrile, but not under physiological conditions. Electrochemical studies and theoretical calculations were used to assess and support the underlying mechanisms for the new ICT and PET 1,2,3-triazole fluoroionophores.
The internal friction of hydrated soda-lime-silica glasses with total water content (CW ) up to 1.9 wt. % was studied by dynamic mechanical analysis (DMA) using temperature-frequency sweeps from 723 K to 273 K and from 1 s-1 to 50 s-1. Total water content and concentrations of H2O molecules (CH2O ) and OH groups (COH) in the DMA specimens were determined by infrared spectroscopy. For low water contents (CW ≈ COH < 0.25 wt. %) two discrete internal friction peaks below the glass transition (α relaxation) were assigned to the low-temperature motion of alkali ions (γ relaxation) and cooperative movements of dissimilar mobile species under participation of OH at higher temperature (βOH relaxation). For large water contents (CW > 1 wt. %), where significant amounts of molecular water are evident (CH2O > 0.15 wt. %), however, internal friction spectra change unexpectedly: the βOH peak heights saturate and a low temperature shoulder appears on the β-relaxation peak. This emerging relaxation mode (βH2O relaxation) was assigned to the motions of H2O molecules. βH2O relaxation was found to be faster than βOH but slower than γ relaxation. Activation energy of the different relaxation modes increased in the order γ < βH2O < βOH < α.
POD is the most often used approach for the evaluation of the reliability of non-destructive testing methods in critical areas. But especially for those cases the requirements for a sufficient amount of data, adequate type of defects and the statistical requirements are high. The claim for checking these requirements is not new, but never the less often ignored. Especially the large amount of data for critical real defects seems too often to be not really solvable. In this presentation we show an approach to use real defect data with knowledge from former testing results with the same equipment, in a useful adequate way. Furthermore we introduce a method to evaluate the real defect description parameters for the radiographic testing. This approach was used for a joint project with the company POSIVA, which is building a final depository for spent nuclear fuel in Finland. Radiographic testing is one of the NDT-methods they use to test the electron beam weld of the copper canister. The copper canister will be used in the deposit as a corrosion barrier within the deposit concept. Through the high sophisticated manufacturing methods of the canister there are almost no material defects, which could be used for reliability evaluation. In this context the idea of Bayesian Updating of the POD with real defect data with former results from artificial defect data was born to get a useful evaluation.
Using the Modular Reliability Model the three different main influencing elements, i.e. intrinsic capability (IC), application parameters (AP) and the human factors (HF), are, in the first instance, investigated separately. The intrinsic capability stands for the pure physical-technological process of the signal detection caused by the waves or the rays from a material defect in the presence of noise (driven by the material and the devices). This intrinsic capability is the upper bound of the possible reliability. Already when measuring this intrinsic capability for thick walled components the original one-parameter POD must be extended to a multiparameter POD, where, in addition to the defect size, a number of additional physical parameters, such as the grain size distribution (or attenuation), defect depth, and angle or surface roughness, must be considered. For real life cycle assessments it is necessary to evaluate the signal response from real defects. The industrial application factors, e.g. coupling conditions, limited accessibility, heat and environmental vibrations, diminish the reliability. The amount of reduction can be determined quantitatively, if the underlying conditions are controlled. In case they are not controlled it is necessary to count for a fluctuation in the reliability in the field anyway. The third group of important influencing factors are the human factors, which do not only cover the individual performance capability of the inspectors but also the design of the working place,the procedure, the teamwork quality, interaction with systems, the organization, and finally, the relationship between the companies involved in the inspection process and to which extend the responsible parties are aware of it. When comparing an “ideal inspection” with a “real inspection” it is worth while to look how the existing practices, rules and standards support reliable testing and where the “delta” is. In the context of vigor, with respect to the industrial end user, it needs to be shown how the level of reliability of NDE, influenced by the different factors, has an impact on acceptance or rejection of safety critical parts.