TY - CONF A1 - Schartel, Bernhard T1 - Thermal Decomposition Features Flame Retardancy N2 - INTRODUCTION: Most polymeric materials in most fire scenarios burn based on an anaerobe pyrolysis feeding the flame with fuel. Understanding the thermal decomposition in the condensed phase is key to tailor flame retardancy. Adjusting the decomposition temperature of flame retardant and polymer as well as providing the desired chemical structure for specific reactions determine the molecular mechanisms and thus the flame-retardant modes of action. Hereby, it is not only charring in the condensed phase and radical scavenging in the gas phase, but also physicochemical and physical effects such as melt flow and protective layer formation. This paper delivers thought-provoking impulses on how the understanding of the pyrolysis can be used for evidenced-based development and optimization of flame-retardant polymeric materials. Some rather overseen details are picked up as well as rethinking of concepts memorized long ago is encouraged to discover something new. The talk tries to fill some gaps between flame-retardant mechanisms, flame-retardant modes of action, and fire performance. EXPERIMENTAL: Materials - This paper deduces its conclusions from results of several research projects performed in the working group of the author. For a detailed description of the materials, their compounding, and the preparation of test specimens please go for the comprehensive description in the original papers.[1-10] Methods - A multi-methodical approach based on thermogravimetry (TGA), TGA coupled with evolved gas analysis (TGA-FTIR), hot stage FTIR, pyrolysis GC/MS, and residue analysis was used for investigating the pyrolysis. The flammability in the fire scenario ignition was addressed using oxygen index (OI) and testing in the UL 94 burning chamber. The fire behaviour in developing fires was investigated using a cone calorimeter. Additional efforts complete the studies, such as other fire tests, advanced analysis of the fire residue, melt rheology, or particle finite element simulations (PFEM). Tailored and self-designed experiments and advanced data evaluation described fire phenomena or modes of action. For a detailed description of the experimental the reader is relegated to the original papers.[1-10] RESULTS AND DISCUSSION: One important aspect in achieving, adjusting, and optimising flame retardancy is exploiting specific chemical reactions in the condensed phase between the pyrolyzing polymer and the flame retardant at the right place, time, and temperature.[1-3] At the same time, these reactions of partly decomposed or hydrolysed flame retardants in the condensed phase competes with releasing as volatile into the gas phase. Based on three comparisons this field is illuminated in detail: reactive phosphine oxide, phosphinate, phosphonate, and phosphate are compared in the same epoxy resins evaluating the influence of the oxidation state,[1] different phosphorous flame retardants in different epoxy resins underlining the specific reactions between the partly decomposed or hydrolysed flame retardant and the partly decomposed polymer,[3] and the comparison of three aryl phosphates with different volatility highlights the competition of chemical reaction in the condensed phase and gasification.[2] Any fire residue reduces fire risks, when the release of hydrocarbon fuel into the gas phase is replaced by storing fuel in the condensed phase as carbonaceous char. Thus, charring describing crosslinking, dehydration, aromatization, and graphitization is the flame retardancy mechanisms, whereas charring describing the reduction in fire load the flame-retardant mode of action. The phenomenon charring belongs to a complete pyrolysis or complete pyrolysis step; the char yield indicates the amount of fuel stored in the residue. Further, any fire residue works as protective layer. The barrier properties depend on the physical properties of the residue but not necessarily on its amount.[4] Usually, a residue design such as a tailored morphology of the fire residue is demanded. The mass loss rate and heat release rate are reduced. The main mechanisms are heat shielding and thermal insulation.[5] Sometimes the protective layer is good enough to cause incomplete pyrolysis due to extinguishing before the pyrolysis front went through the whole sample.[6.7] Analogous to charring also incomplete pyrolysis can result in efficient reduction in fire load. Proper data evaluation and key experiments are used to sort out and understand these different phenomena. Flame retardant polyurethane foams passing the heat release and smoke toxicity requirements of EN 45545 are discussed as evidence-based development using charring and incomplete pyrolysis due to an efficient protective layer.[7,8] The thermal decomposition into liquid intermediate products increases crucially the melt flow during burning,[9] whereas charring and the ablation of the polymer matrix increasing the content of fillers yield melt viscosities enlarged by orders of magnitude.[10] Violent burning of some polymers at the end of a cone calorimeter test can be understood as pyrolysis enabling a pool fire. The understanding of the thermal decomposition of the polymeric material harbours the explanation of non-flaming dripping extinguishing the flame via sufficient cooling, retreat effects preventing ignition, and efficient nondripping flame retardancy. This paper leads the audience from chemistry over complex macroscopic fire phenomena of physicochemical nature to fire performance. Thought-provoking impulses are given how the scientific understanding of the pyrolysis in the condensed phase can be used for research and evidenced-based development of future flame-retardant polymeric materials. Acknowledgement: The talk uses results from distinct projects; thus, thanks go to the German Research Foundation DFG SCHA 730/6-1, SCHA 730/8, SCHA 730/10-1, and Scha 730/19-1, Bayer MaterialScience AG, and the BMWi (BMWK) AiF: IGF No.: 19078 N/2 for financial support. Many thanks to former working group members U. Braun, Y. Y. Chan, B. Perret, S. Rabe, K. H. Richter, A. Weiß, and G. Wu, and to our co-operation partners A. Hartwig (IFAM), M. Döring and M. Ciesielski (at that time KIT), and J. M. Marti (CIMNE) as well. T2 - 11th Conference of the Modification, Degradation, Stabilization of Polymers, MoDeSt 2024 CY - Palermo, Italy DA - 01.09.2024 KW - Flame retardants KW - Decomposition KW - Modes of action KW - Mechanisms KW - Charring KW - Flame inhibition KW - Dripping KW - Protective layer KW - Pyrolysis PY - 2024 AN - OPUS4-60960 LA - eng AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER - TY - CONF A1 - Sunder, Sruthi T1 - Investigating the trade-off effects of inorganic phosphate/silicate flame retardant (FR) content on the fire performance and post fire flexural mechanics of epoxy/glass fiber composites N2 - Considering the existing challenges involved in the transfer of flame retardant (FR) formulations from epoxy (EP) resins to glass fiber reinforced composites (GFRCs), obtaining data on the post-fire flexural properties of such composites is even more challenging as this involves balancing test parameters with potential composite delamination. In this study, solvent-free FR additives: ammonium polyphosphate (APP), and inorganic silicate (InSi) were added at 10, 30% and 50% w/w loading to a Bisphenol A diglycidyl ether (DGEBA)-dicyandiamide (DICY)-Urone resin matrix. These resin formulations were transferred to bidirectional (BD) glass fiber composites via prepregs. A novel, but facile approach was developed to prepare the composite samples for furnace tests at 400 oC. The composites were also subjected to fire exposure at different heat fluxes and times via a bench-scale test and subsequently tested via three-point bending. At approximately 3.5% P content, the FRs significantly improve the fire performance of both the resins and composites. However, they also degrade the systems’ pre- and postfire flexural modulus and strength. Therefore, improving the flame-retardant mode of action of the FRs in the composites, contrastingly reduces their structural integrity post-fire leading to a trade-off effect. T2 - ECCM21 – 21st European Conference on Composite Materials CY - Nantes, France DA - 02.07.2024 KW - Flame retardants KW - Post-fire KW - Epoxy KW - Glass fiber composites KW - Prepregs PY - 2024 AN - OPUS4-60795 LA - eng AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER - TY - CONF A1 - Jauregui Rozo, Maria A1 - Sunder, Sruthi A1 - Schartel, Bernhard A1 - Ruckdäschel, Holger T1 - Weaving through fire and force: Fire behavior, fire stability and modes of action between epoxy resin and glass-fiber composites N2 - Several investigation groups have studied the flame-retardancy modes of action and properties of epoxy resins in the past; nevertheless, the selection of suitable flame retardants for epoxy resins remains challenging, and the transfer to fiber composites is difficult. The addition of flame retardants and glass fibers (GFs) to a polymeric system in a fire scenario changes the polymer's pyrolytic path and burning characteristics, reduces the heat released in the combustion, and suppresses the modes of action in the condensed and gas phase. In this study, the thermal analysis, flammability, fire behavior, residue analysis, fire stability, and quantification of modes of action of three different systems with three halogen-free flame retardants (melamine polyphosphate (MPP), ammonium polyphosphate (APP), and silane ammonium polyphosphate (SiAPP)) and three different types of GFs (unidirectional (UD), bidirectional (BD), and woven roving (WR)) will be compared with pure epoxy resin as a reference. T2 - Fire & Polymers CY - New Orleans, LA, USA DA - 12.05.2024 KW - Glass-fiber-composites KW - Epoxy Resins KW - Flame Retardancy KW - Fire Stability KW - Bench-scale Fire Resistance Test PY - 2024 AN - OPUS4-60150 LA - eng AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER - TY - CONF A1 - Dudziak, Mateusz A1 - Bhatia, Riya A1 - Dey, Rohit A1 - Ullrich, Matthias S. A1 - Schartel, Bernhard T1 - Phosphor-enriched wastewater products as sustainable flame retardant in PLA N2 - Revolutionizing our polymer industry for adaption to a sustainable carbon circular economy has become one of today’s most demanding challenges. Exploiting renewable resources to replace fossil-fuel—based plastics with biopolymers such as poly(lactic acid) (PLA) is inevitable while using waste streams as a raw material resource at least is promising. When it comes to using PLA as technical polymer, its high flammability must be addressed by flame retardants compatible with the thermoplastic processing of PLA and its compostability. This study proposes microalgae enriched with phosphorus from wastewater (P-Algae) as an elegant way towards a kind of sustainable organophosphorus flame retardant. The concept is demonstrated by investigating the processing, pyrolysis, flammability, and fire behavior of PLA/P-Algae, while varying the P-Algae content and comparing P-Algae with four alternative bio-fillers (phosphorylated lignin, biochar, thermally treated sewage sludge, and metal phytate) with different P-contents as meaningful benchmarks. T2 - EcoFRam2024 CY - Valencia, Spain DA - 22.05.2024 KW - PLA KW - Flame retardancy KW - Phosphorylated algae KW - Wastewater flame retardants KW - Zink phytate KW - Phosphorylated lignin KW - Thermally treated sludge PY - 2024 AN - OPUS4-60142 LA - eng AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER - TY - CONF A1 - Schartel, Bernhard T1 - More than the sum of its parts – synergistic FR-combinations N2 - Efficient flame retardancy is often achieved only when applying synergistic multicomponent systems. Flame retardants are combined or used together with adjuvants or synergists to enhance their efficiency, reduce the amount required, or reduce the costs; fibers and fillers contribute to fire properties crucially. Although the main flame-retardant modes of action are known, the detailed scientific understanding usually falls short, when it comes to complex synergistic multicomponent systems, the important tiny optimizations, or quantifying in terms of specific fire properties. This paper tries to illuminate the concept of synergistic flame retardants. The need for the multicomponent approach and the main phenomena are described. Thought-provoking impulses are delivered on how the understanding of multicomponent systems promotes the evidence-based development of future flame retardant polymeric materials. Multicomponent systems are discussed in their capacity as general powerful strategy for achieving and optimizing flame retardant polymeric materials. This paper is based mainly on the overall conclusions and concrete results of several projects performed in the group of the author. Thanks to my (former) students and co-operation partners in these projects. Thanks for financing to DFG (Scha 730/8-1 Scha 730/8-2, Br 3376/1-1, Scha 730/19-1), AiF IGF (438 ZN, 17833N/2, 19078 N/2), and BMBF (03X0111C, 01DN16040). T2 - Fire & Polymers CY - New Orleans, LA, US DA - 12.05.2024 KW - Flame retardants KW - Synergy KW - Composites KW - Adjuvants PY - 2024 AN - OPUS4-60082 LA - eng AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER - TY - CONF A1 - Dudziak, Mateusz A1 - Schartel, Bernhard T1 - Phosphor-enriched wastewater products as sustainable flame retardant in PLA N2 - Revolutionizing our polymer industry for adaption to a sustainable carbon circular economy has become one of today’s most demanding challenges. Exploiting renewable resources to replace fossil-fuel—based plastics with biopolymers such as poly(lactic acid) (PLA) is inevitable while using waste streams as a raw material resource at least is promising. When it comes to using PLA as technical polymer, its high flammability must be addressed by flame retardants compatible with the thermoplastic processing of PLA and its compostability. This study proposes microalgae enriched with phosphorus from wastewater (P-Algae) as an elegant way towards a kind of sustainable organophosphorus flame retardant. The concept is demonstrated by investigating the processing, pyrolysis, flammability, and fire behavior of PLA/P-Algae, while varying the P-Algae content and comparing P-Algae with four alternative bio-fillers (phosphorylated lignin, biochar, thermally treated sewage sludge, and metal phytate) with different P-contents as meaningful benchmarks. T2 - Polymers for Sustainable Future CY - Prague, Czech Republic DA - 24.06.2024 KW - PLA KW - Flame Retardancy KW - Thermally Treated Sludge KW - Phosphorylated Algae KW - Zink Phytate KW - Wastewater Flame Retardants KW - Phosphorylated Lignin PY - 2024 AN - OPUS4-60619 LA - eng AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER - TY - CONF A1 - Schartel, Bernhard T1 - Flame and Fire Retarded Composites: Principles and Concepts N2 - Carbon fibre (CF), short glass fibre, and long glass fibre (GF) reinforced polymers are used for diverse applications such as electronics/electrical engineering, transportation (railway vehicles, shipping, aviation) and construction. The fire behaviour of composites differs in comparison to polymers. Fibres behave often inert with respect to pyrolysis, but they change the melt flow and dripping behaviour, the heat absorption and transfer, the amount and properties of the fire residue and so on. Flame and fire retardancy concepts are needed not only suitable for the different fire protection goals typical for each application, but also tailored for composites. The field is illuminated by examples taken from different projects carried out in the group of the author in the last 22 years. The examples target on different applications through achieving V0 in UL 94 testing (reaction to small flame controlling the fire risks in the beginning of a fire), reducing heat release rate and fire load in the cone calorimeter (fire risks under forced flaming combusting controlling the contribution to developing fires) and investigating the fire stability when a severe flame is directly applied (key property in fully developed fires). Approaches to halogen-free flame retardancy in GF reinforced thermoplastics and CF reinforced thermosets are presented as well as building up a bench and intermediate scale testing of composites in fire applying mechanical load and direct flame exposure simultaneously. The understanding of fire behaviour and flame retardancy mode of actions in composites is a promising basis for target-oriented development. The role of flame inhibition, charring and protective layer formation is discussed in composites. Successful concepts are presented for flame retardancy tailored for different application as well as general guidelines for future development. Different phosphorus flame retardants are proposed to achieve halogen-free flame retardancy in applications demanding limited fire risks with respect to ignition and developing fires. Different protective approaches are sketched for addressing the fire resistance of composite that is the most important fire risk for structural applications. T2 - 2nd Conference Flame Retardancy for Composite Applications CY - Berlin, Germany DA - 20.11.2024 KW - Composites KW - Flame retardancy KW - Modes of action KW - Lightweight materials KW - Fire resistance KW - Flammability KW - Flame retardant mechanisms PY - 2024 AN - OPUS4-61726 LA - eng AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER - TY - CONF A1 - Geburtig, Anja T1 - Digitale Umweltsimulation am Beispiel der Photooxidation von Polymeren N2 - Die Umweltwirkungen auf ein Material werden als Überlapp der Funktionskurven von Materialempfindlichkeit und einwirkenden Umweltparametern betrachtet. Wenn entweder die Empfindlichkeit oder die Beanspruchungen Null sind, ergibt sich auch keine Umweltwirkung und bei beidseitig Werten größer Null das jeweilige Produkt der beiden. Die Akkumulation der nicht-reversiblen Effekte über die Zeit und allen Eigenschaftsänderungen entspricht der Alterung des Materials für den jeweiligen Expositionszeitraum. Die digitale Umweltsimulation gliedert sich hier in drei Teilaspekte. Ein erster, rein materialwissenschaftlicher Teil hat die Aufgabe, alle relevanten Materialempfindlichkeiten experimentell zu quantifizieren. Ein zweiter – unter Umständen numerischer Teil – hat die Aufgabe, das Bauteil und seine Einbaulage zu digitalisieren und aus den makroskopischen Umgebungsbedingungen die relevanten mikroklimatischen Umweltparameter für alle Oberflächen- oder Volumenelemente zu bestimmen. In einem dritten Teil werden die Einwirkungen über den betrachteten Zeitraum berechnet und kumuliert. Dieses Konzept, das auf den so genannten Expositions-Reaktions-Funktionen (ERF) basiert, wird an Beispielen der Photoxidation erläutert. Dieses Vorgehen wurde schon beim ViPQuali-Projekt als Numerische Umweltsimulation umgesetzt. Überprüft werden muss das Modell unbedingt an einer realitätsnahen Validierungsbeanspruchung. Hier werden die ermittelten ERFs mit über den kompletten Beanspruchungszeitraum geloggten Umweltparametern gekoppelt, um die berechnete mit der experimentell erfahrenen Alterungswirkung zu vergleichen. Nur so kann sichergestellt sein, dass alle für die Anwendungsumgebung relevanten Materialempfindlichkeiten einbezogen wurden. T2 - 52. Jahrestagung der GUS CY - Blankenloch, Germany DA - 26.03.2024 KW - Polymer 3R KW - UV KW - Bestrahlung KW - Bewitterung PY - 2024 AN - OPUS4-59831 LA - deu AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER - TY - CONF A1 - Geburtig, Anja T1 - Significance of new data pairs for irradiance and (surface) temperature N2 - There is consent that UV irradiance and temperature at the place of photodegradation are the most important environmental parameters in weathering, along with humidity. This contribution shows how an improvement in the measurement data situation can improve the significance and comparability of outdoor exposures. Photooxidative ageing is calculated using sample polymers for which the corresponding modelling data (Exposure Response Functions, ERF) is available. The mean square deviations are estimated, which result from using different spectral irradiances and different spectral sensitivities, both of the sensors and the polymers. It will be shown here how the significance of the irradiance values increases with increasing approximation of the spectral sensitivities of the sensor and polymer. Also, the mean square deviations are estimated, which result from using different activation energies and surface temperatures. A selection of different variables to describe the weathering exposure is created. The potential of either individual values or data pairs is evaluated in terms of significance or correlation to the calculated photooxidative ageing. Recording hourly data also enables subsequent evaluations of individual test specimens, adapted to the respective colour or to determine activation energies. An accumulated value, calculated from PIT-radiometer irradiance and a suited surface temperature, can provide a comparison of different outdoor exposures over different locations or years. Thus, a characterisation of the weathering exposure would be related to a reference spectral sensitivity (much closer to a polymer than that of a common UV radiometer), one reference activation energy, and different surface temperature scenarios with, on the one hand, graded solar absorptions (white / grey / black) and, on the other hand, different thermal couplings (coated metal / thick plastic). This results in three values each for plastic samples and coated metals (light / grey / dark). It will never be possible to accurately predict the weathering tests for individual samples (with their specific sensitivities), but the proposed approaches can go a long way towards the comparability of outdoor weathering exposures. T2 - 10th European Weathering Symposium EWS CY - Graz, Austria DA - 11.09.2024 KW - Polymer 3R KW - Outdoor weathering PY - 2024 AN - OPUS4-61292 LA - eng AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER - TY - CONF A1 - Müller, Simon T1 - Ein Modell zur Ausbreitung von Waldbränden - schnellere Vorhersagen durch den Einsatz von maschinellem Lernen, Fernerkundung und Copernicus-Daten N2 - Weltweit stellen Waldbrände eine große Bedrohung für Umwelt, Wirtschaft und menschliches Leben dar. Der fortschreitende Klimawandel verstärkt Trockenheit und Dürre, wodurch die Größe und Intensität von Waldbränden sowie das daraus resultierende Gefahrenpotential zusätzlich erhöht werden. Um im Risikofall eine schnelle und effektive Waldbrandbekämpfung zu gewährleisten, sollen Einsatzkräfte in Zukunft von KI-basierten Ausbreitungsmodellen unterstützt werden. Der Einsatz von maschinellem Lernen ermöglicht dabei schnelle und zielgerichtete Ausbreitungsvorhersagen in Echtzeit, die in den Prozess der Brandbekämpfung als zusätzliche Information einfließen können. Im Rahmen des durch das EU-Förderprogram Horizon 2020 finanzierte Projekt TREEADS wird ein solches Modell für Europa entwickelt. Dazu wird mit verschiedenen Satellitendaten des Copernicus-Programms und der NASA ein auf räumlicher und zeitlicher Ebene aufgelöster Datensatz zu europäischen Waldbränden aufgebaut. Zu den erfassten Waldbränden werden wichtigen Faktoren, die Einfluss auf die Brandausbreitung haben, ergänzt. Dazu gehören das von Copernicus bereitgestellte, digitale Geländemodell Europas und verschiedene, von Sentinel-2 Messungen abgeleitete Informationen zu Vegetation und Landnutzung. Dieser 2D-Trainingsdatensatz zu realen Waldbränden wird durch die zeitlich hochaufgelösten, meteorologischen Reanalyse-Produkte – Copernicus European Regional ReAnalysis (CERRA) und ERA5-Land – vervollständigt und ist die Grundlage für ein Modell zur Ausbreitungsvorhersage von Waldbränden. Methoden des Maschinellen Lernens können komplexe Muster in den gesammelten Daten erkennen und so zu einer verbesserten Vorhersage der Brandausbreitung beitragen. Die vielfältigen, von Copernicus bereitgestellten Daten sind dabei ein unabdingbarer Bestandteil des Modells, mit dem den Einsatzkräften ein zusätzliches Tool für den effizienten Einsatz ihrer limitierten Ressourcen zur Verfügung steht. T2 - Nationales Forum für Fernerkundung und Copernicus 2024 CY - Berlin, Germany DA - 19.03.2024 KW - Maschinelles Lernen KW - Waldbrand KW - Geoinformatik KW - Fernerkundung PY - 2024 AN - OPUS4-59840 LA - deu AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER - TY - CONF A1 - Wu, Hongyi T1 - Applying experimental determined kinetic parameters to the simulation of vegetation fire in the Fire Dynamics Simulator N2 - Although intense wildfire research has been done in the US and in Australia, it cannot be transferred directly to the situation in Europe as the local vegetation has a significant influence on the fire spread. The EU-funded project TREEADS and the so-called German pilot within the project are concentrating on wildfire in Europe. Extensive experimental research is done on local vegeta-tion in Germany and the experimental results are used to adjust the Fire Dynam-ics Simulator (FDS) to local vegetation as a fuel in the calculations. The particle model and the boundary fuel model are developed for the simulation of forest fires. Both models require the kinetic input for the dehydration, pyrolysis, and char oxidation process. This three-step simplified model describes the basic fuel combustion kinetic. Most published simulations use the default kinetic input of pine needles from FDS user manual. To adjust the simulation to local vegetation, the corresponding kinetic parame-ters have been experimental investigated. Samples of pine needles, moss and other falling leaves were collected, air dried and grinded into powder. The TG analysis of all these samples were done under different heating rate of 5, 10 and 20K/min. The activation energy and the corresponding pre-exponential factor were calcu-lated. The results show that fire spread depends significantly on the vegetation and comparison with small scale experiments show good agreement using the new kinetic parameters. The new model is applied to a larger scenario and will be compared to the results of large-scale experiments for further validation of the model. T2 - Wood and Fire Safety 2024 CY - Štrbské Pleso, Slovakia DA - 12.05.2023 KW - Simulation KW - Forest KW - FDS KW - Fire Dynamics Simulator KW - Kinetic parameters KW - Vegetation fire PY - 2024 AN - OPUS4-60256 LA - eng AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER - TY - CONF A1 - Wu, Hongyi T1 - Experimental investigating flame propagation of vegetation fire in different scales N2 - Since we are facing more extreme weathers, the occurrence of wildfire has also increased accordingly. The EU project TREEADS aims to adopt a holistic forest fire management and an adaptive, collaborative governance approach based on the deployment of a new systemic and technological framework covering all three interconnected fire management stages: prevention & preparedness, detection & response, and restoration & adaptation. As part of the task in the so-called German pilot, numerical simulations are performed to investigate the influencing factors for vegetation fires with fire dynamics simulator (FDS). The characteristics of vegetation are strongly related to the local weather and ecosystem. The investigation of the fire behavior of vegetation must be based on the local vegetation in Germany. Thus, the flame propagation of typical vegetation in Germany (pine needles, oak leaves, European beech leaves etc.) was investigated in small scale and medium scale experiments. These results are used as validation case studies for the further simulations. T2 - NFSD Nordic Fire and Safety Days CY - Lund, Sweden DA - 18.06.2024 KW - Vegetation fire KW - Flame propagation KW - Vegetation in Germany KW - SBI-test KW - Wildfire PY - 2024 UR - https://ri.diva-portal.org/smash/record.jsf?pid=diva2%3A1869356&dswid=6005 AN - OPUS4-60632 LA - eng AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER - TY - CONF A1 - Wu, Hongyi A1 - Hofmann-Böllinghaus, Anja T1 - TREEADS - Experimente und numerische Simulation zur Brandausbreitung von Vegetationsbränden N2 - Um die Ausbreitungsmechanismen von Vegetationsbränden und besonders bei Bodenbränden besser zu verstehen, wurden die Einflussfaktoren auf die Brandausbreitung näher untersucht. Da die Brandausbreitung auch in starkem Maße von der lokalen Vegetation abhängt, war eine Charakterisierung der lokalen Vegetation und der Bodenverhältnisse wichtig. Die Wetterverhältnisse spielen einerseits im Vorfeld des Brandes durch längere Dürreperioden als auch während des Brandes, z.B. durch den Windeinfluss, zusätzlich eine große Rolle. Durch die numerische Simulation kann eine größere Variation der Einflussgrößen abgebildet werden als durch die zeitlich und finanziell begrenzten experimentellen Möglichkeiten. Für die Berechnungen wird der Fire Dynamic Simulators (FDS) mit dem Paket WFDS verwendet. Dadurch kann mit einem vereinfachten 3-Phasen-Reaktionskinetikmodell, bestehend aus Dehydrierung, Pyrolyse, Kohleoxidation, die Ausbreitung von Vegetationsbränden verschiedener Waldbodenarten untersucht werden. Es wurden dazu 6 typische Pflanzenarten und Bodenproben aus Kiefern-, Buchen und Eichenbeständen ausgewählt. Die gesammelten Waldbodenproben wurden alle hinsichtlich des Wassergehalts, des organischen Gehalts, der Packungsdichte, der Dichte und der statistisch ermittelten Pflanzenartenverteilung charakterisiert. Das kinetische Abbrandverhalten wurde durch Thermogravimetrische Analyse (TGA) untersucht. Alle diese Daten wurden als Eingabeparameter für die Simulation verwendet. Die numerischen Simulationen werden mit Experimenten im kleinen, mittleren und Real-Maßstab validiert. T2 - 70. Jahresfachtagung der Vereinigung zur Förderung des Deutschen Brandschutzes CY - Magdeburg, Germany DA - 06.05.2024 KW - Waldbrand KW - Simulation KW - FDS PY - 2024 AN - OPUS4-60257 LA - deu AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER - TY - CONF A1 - Müller, Simon T1 - Predicting Wildfire Propagation in Europe, the Middle East and North Africa using Convolutional Neural Networks with an adjusted Dataset N2 - Wildfires pose a significant threat to ecology, economy, and human lives alike. Droughts and heat waves fueled many fire occurrences in the last years, and the ongoing climate change increases the risk of larger, more devastating events. As part of the TREEADS project, funded by Horizon 2020 (EU), we are developing a wildfire propagation model, which is an important part of possible counter measures to support decision makers and firefighters in their actions against uncontrolled fire spread. With recent advances, machine learning became applicable for wildfire propagation modelling. Once the time-consuming training process is finished, predictions are fast, even on devices with low computational power. On the downside, large datasets are crucial to train robust models, but temporally accurate propagation data of real fire occurrences are sparse. To solve this problem, we reconstructed wildfire propagation in 12-hour intervals for over 5500 events with varying sizes and durations in Europe, the Middle East, and North Africa. Thereto, burned area polygons from the European Forest Fire Information System (EFFIS) database were combined with active fire detection points from the Visible Infrared Imaging Radiometer Suite (VIIRS). The fire spread was reconstructed sequentially according to the revisiting times of VIIRS. This data was coupled with meteorological information from the ERA5 reanalysis product and surface information derived from Sentinel-2, as well as TanDEM-X remote sensing data. The aggregated dataset was then used to build a deep-learning convolutional neural network that captures meteorological effects, elevation, and vegetation on wildfire propagation. To account for the sequentially updated weather data from ERA5, long short-term memory (LSTM) with self-attention was included. In summary, we have constructed a novel wildfire propagation dataset suitable for machine learning purposes and developed a convolutional LSTM network for rapid prediction of fire spread. T2 - AGU24 CY - Washington D.C., USA DA - 09.12.2024 KW - Wildfire KW - Deep Learning KW - Convolutional Neural Network (CNN) KW - Remote Sensing PY - 2024 AN - OPUS4-64767 LA - eng AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER - TY - CONF A1 - Hofmann-Böllinghaus, Anja T1 - Waldbrandforschung im EU-Projekt TREEADS N2 - Die Präsentation gibt einen Überblick über die Arbeiten im German Pilot des EU-Projekts TREEADS. Es werden klein-, mittel- und großskalige Versuche an Waldboden mit einheimischer Vegetation durchgeführt. Begleitend werden numerische Untersuchungen durchgeführt, die eine Variation der Parameter, wie Bodenfeuchte, Temperaturen und Wind über die Experimente hinaus erlauben. Die gemessenen Materialparameter dienen als Input für die numerischen Berechnungen. Die numerischen Modelle werden mit den mittel- und großskaligen Experimenten validiert. T2 - Magdeburger-Köthener Brandschutz- und Sicherheitstagung CY - Magdeburg, Germany DA - 14.03.2024 KW - Waldbrand PY - 2024 AN - OPUS4-59897 LA - deu AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER -