TY - CONF A1 - Knaust, Christian A1 - Rogge, Andreas ED - Lönnermark, A. ED - Ingason, H. T1 - Prediction of the temperature evolution in a tunnel construction in case of fire, by coupling the temperature-dependent heat transfer mechanisms inside the structural components and at their surface T2 - 5th International Symposium on tunnel safety and security CY - New York, USA DA - 2012-03-14 KW - Fire KW - High tmeperature fire loads KW - Component temperatures KW - Wall temperatures KW - Concrete KW - High temperature behavior KW - Thermal properties KW - Computational Fluid Dynamics KW - CFD PY - 2012 SN - 978-91-87017-26-1 SN - 0284-5172 VL - 2 SP - 753 EP - 756 AN - OPUS4-28067 LA - eng AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER - TY - CONF A1 - Hofmann-Böllinghaus, Anja A1 - Knaust, Christian A1 - Beard, A. ED - Schartel, Bernhard T1 - Modelling fire scenarios in residential buildings with respect to the benefit of smoke detectors and flame retarded furniture and other items T2 - FRPM 2005 CY - Berlin, Germany DA - 2005-09-07 KW - Fire KW - Homes KW - Computational Fluid Dynamics KW - Modelling KW - Flame retardants KW - Smoke detectors PY - 2005 SN - 978-3-8334-8873-3 SP - 221 EP - 233 PB - Books on Demand GmbH AN - OPUS4-28305 LA - eng AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER - TY - CONF A1 - Rabe, Frederik A1 - Löhnert, Andrea A1 - Knaust, Christian A1 - Thöns, Sebastian T1 - Numerical quantification of fire smoke toxicity in tunnels N2 - Vehicle fires in tunnels can have catastrophic consequences for the road users, the property and traffic inffastructure. To support an evacuation planning, this study simulates the fire smoke toxicity and the smoke layer of a vehicle fire in a full-size test tunnel. The three dimensional prediction of the fire smoke toxicity in the test tunnel is realized by implementing the Fractional Effective Dose and the Fractional Summation concept in a CFD environment. The developed model facilitates to calculate fire scenarios for various types of tunnels and to quantify the hazard e.g. during an evacuation scenario. T2 - ISAVFT 15 - 15th International symposium on aerodynamics, ventilation and fire in tunnels CY - Barcelona, Spain DA - 18.09.2013 KW - Toxicity KW - Fire KW - Smoke KW - Tunnel KW - FED KW - Fractional effective dose PY - 2013 SN - 978-1-85598-137-9 SP - 203 EP - 215 AN - OPUS4-29719 LA - eng AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER - TY - CONF A1 - Berchtold, Florian A1 - Thöns, Sebastian A1 - Knaust, Christian A1 - Rogge, Andreas T1 - Review of road tunnel risk assessment - common aspects? N2 - Safety measures like tunnel emergency Ventilation Systems cause high financial costs. Hence, safety measures have to be chosen with the focus on the expected reduction of the consequences like fatalities or damage on structures and in conjunction with the investments. Since 2004, the European directive EU 2004/54/EC proposes therefore the application of risk assessments. Because the EU directive provides only few legal requirements on risk assessments, the methodologies developed on this basis have large differences. After one decade of intensive research, the comparative study now highlights common aspects and differences of several methodologies. T2 - 6th International symposium on tunnel safety and security CY - Marseille, France DA - 12.03.2014 KW - Tunnel KW - System KW - Risk assessment KW - Fire KW - Safety KW - Comparative study PY - 2014 SP - 669 EP - 670 AN - OPUS4-31256 LA - eng AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER - TY - CONF A1 - Berchtold, Florian A1 - Knaust, Christian A1 - Thöns, S. A1 - Rogge, Andreas T1 - Risk analysis in road tunnels – most important risk indicators N2 - Methodologies on fire risk analysis in road tunnels consider numerous factors affecting risks (risk indicators) and express the results by risk measures. But only few comprehensive studies on effects of risk indicators on risk measures are available. For this reason, this study quantifies the effects and highlights the most important risk indicators with the aim to Support further developments in risk analysis. Therefore, a system model of a road tunnel was developed to determine the risk measures. The system model can be divided into three parts: the fire part connected to the fire model Fire Dynamics Simulator (FDS); the evacuation part connected to the evacuation model FDS+Evac; and the frequency part connected to a model to calculate the frequency of fires. This study shows that the parts of the system model (and their most important risk indicators) affect the risk measures in the following order: first, fire part (maximum heat release rate); second, evacuation part (maximum preevacuation time); and, third, frequency part (specific frequency of fire). The plausibility of These results is discussed with view to experiences from experimental studies and past fire incidents. Conclusively, further research can focus on these most important risk indicators with the aim to optimise risk analysis. T2 - Seventh International Symposium on Tunnel Safety and Security CY - Boras, Sweden DA - 16.03.2016 KW - Fire KW - Risk KW - Road KW - Tunnel KW - Analysis PY - 2016 SN - 978-91-88349-11-8 SN - 0284-5172 SP - 637 EP - 648 CY - Boras, Sweden AN - OPUS4-37689 LA - eng AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER - TY - CONF A1 - Souza, Roberto A1 - Knaust, Christian A1 - Andreini, M. A1 - La Mendola, S. T1 - Probability Distribution Sensitivity on the Thermo-Mechanical FEM of a Concrete Tunnel Exposed to Fire N2 - A probabilistic approach for finite element analysis (FEA) for tunnel linings exposed to the nominal fire is presented. The probabilistic FEA accounted for the uncertainties distributions tied to the conductivity and specific heat as well as of the compressive strength, tensile strength, Young’s modulus, and ultimate strain in compression. To get an understanding on the influence of different probability density functions on the distribution of maximum displacements of the tunnel lining, a sensitivity analysis was performed. Four sets of FEAs were carried out with different probability distributions of the conductivity, the specific heat, and the compressive strength of the concrete, respectively. An experimental design based on a Latin Hypercube Sampling algorithm was performed to define the input parameters which describe each analysis case. A reliability analysis was executed considering a limit state function based on the temperature-dependent ultimate strain. The results show that, depending on the distribution adopted, the standard deviation of the maximum displacements can vary up to 47,4% of the minimum standard deviation. The large standard deviation is associated with the possibility of a greater displacement and, hence, to a structure more vulnerable to fire. T2 - 4th Symposium Structural Fire Engineering Braunschweig CY - Brunswick, Germany DA - 12.09.2017 KW - Probabilistic analysis KW - Fire KW - Concrete KW - Finite elements analysis PY - 2017 SP - 1 EP - 13 AN - OPUS4-42681 LA - eng AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER - TY - CONF A1 - Chaves Spoglianti de Souza, Roberto A1 - Rosignuolo, Francesco A1 - Andreini, M. A1 - La Mendola, S. A1 - Knaust, Christian T1 - Probabilistic Thermo-Mechanical Analysis of a Concrete Tunnel Lining Subject to Fire N2 - Probabilistic thermo-Mechanical analysis of a concrete tunnel lining subject to fire The probability distributions of the parameters related to the thermal analysis was considered in order to study the variability of the results and to carry out a reliability analysis. This assessment considered as random variables the thermo-mechanical properties of the concrete, the maximum heat release rate (HRR), the duration of the period of maximum HRR, the convective coefficient, the emissivity at the surface exposed to the fire, the air velocity within the tunnel, and the initial fire radius. The temperature-time curve was described by a correlation. An experimental design based on a Latin Hypercube Sampling algorithm was performed to define the input parameters to each analysis case. The definition of a limit state function based on the punctual strain status has permitted to carry out a reliability analysis. T2 - IFireSS 2017 – 2nd International Fire Safety Symposium CY - Naples, Italy DA - 07.06.2017 KW - Probabilistic Analysis KW - Latin Hypercube KW - Tunnel KW - Fire KW - Concrete PY - 2017 SN - 978-88-89972-67-0 SN - 2412-2629 SP - 997 EP - 1004 PB - Doppiavoce CY - Naples, Italy AN - OPUS4-40652 LA - eng AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER -