Eine Plattform für die Wissenschaft: Bauingenieurwesen, Architektur und Urbanistik
Eine Plattform für die Wissenschaft: Bauingenieurwesen, Architektur und Urbanistik
Probabilistic Models for Temperature-Dependent Compressive and Tensile Strengths of Timber
[EN] Reliable reduction factors for timber mechanical properties at elevated temperatures are needed to design timber structures for fire safety as well as to assess the safety of historic timber structures against fire hazards. In this paper, a compilation of the available data on the compressive and tensile strengths of timber at elevated temperatures is carried out. Then, a probabilistic modeling approach to predict the temperature-dependent reduction factors applicable to fire design is proposed. The collected data cover both solid and engineered timber at temperatures from 20°C to 300°C, with a variety of sample sizes, wood species, test protocols, and moisture content used in the experiments. The data revealed a large scatter in elevated temperature strengths, and a large conservativeness of the relationships of the current European standard, which is commonly used for the advanced design of timber structures under fire. To address this variability, multiple probability density functions were calibrated across the temperature range, quantifying the goodness of fit with statistical criteria. Two-parameter Weibull functions provided the best fit, and continuous temperature-dependent relationships were derived for the parameters of the distribution. The proposed probabilistic models can be implemented in a numerical code, facilitating their use in analytical and computational approaches, and can be applied to the probabilistic assessment of the structural performance and reliability of timber structures against fire. ; The authors wish to express their gratitude to the Spanish Ministry of Science, Innovation and Universities for supporting this research through Ph.D. Grant FPU18/00726 awarded to the first author, as well as to the Spanish Ministry of Science and Innovation for the funding provided through Project PID2021-128152NB-I00. The authors would also like to thank Professor Dr. M. Z. Naser for providing his database on timber properties at high temperatures, which includes part of the experimental data ...
Probabilistic Models for Temperature-Dependent Compressive and Tensile Strengths of Timber
[EN] Reliable reduction factors for timber mechanical properties at elevated temperatures are needed to design timber structures for fire safety as well as to assess the safety of historic timber structures against fire hazards. In this paper, a compilation of the available data on the compressive and tensile strengths of timber at elevated temperatures is carried out. Then, a probabilistic modeling approach to predict the temperature-dependent reduction factors applicable to fire design is proposed. The collected data cover both solid and engineered timber at temperatures from 20°C to 300°C, with a variety of sample sizes, wood species, test protocols, and moisture content used in the experiments. The data revealed a large scatter in elevated temperature strengths, and a large conservativeness of the relationships of the current European standard, which is commonly used for the advanced design of timber structures under fire. To address this variability, multiple probability density functions were calibrated across the temperature range, quantifying the goodness of fit with statistical criteria. Two-parameter Weibull functions provided the best fit, and continuous temperature-dependent relationships were derived for the parameters of the distribution. The proposed probabilistic models can be implemented in a numerical code, facilitating their use in analytical and computational approaches, and can be applied to the probabilistic assessment of the structural performance and reliability of timber structures against fire. ; The authors wish to express their gratitude to the Spanish Ministry of Science, Innovation and Universities for supporting this research through Ph.D. Grant FPU18/00726 awarded to the first author, as well as to the Spanish Ministry of Science and Innovation for the funding provided through Project PID2021-128152NB-I00. The authors would also like to thank Professor Dr. M. Z. Naser for providing his database on timber properties at high temperatures, which includes part of the experimental data ...
Probabilistic Models for Temperature-Dependent Compressive and Tensile Strengths of Timber
Garcia-Castillo, Ester (Autor:in) / Gernay, Thomas (Autor:in) / Paya-Zaforteza, Ignacio (Autor:in) / Universitat Politècnica de València. Escuela Técnica Superior de Ingenieros de Caminos, Canales y Puertos - Escola Tècnica Superior d'Enginyers de Camins, Canals i Ports / AGENCIA ESTATAL DE INVESTIGACION / MINISTERIO DE CIENCIA E INNOVACION / Universitat Politècnica de València
01.02.2023
Aufsatz (Zeitschrift)
Elektronische Ressource
Englisch
Probabilistic Models for Temperature-Dependent Compressive and Tensile Strengths of Timber
| ASCE | 2023
Compressive and Tensile Strengths of Stabilized Soils
| British Library Conference Proceedings | 2000
Tensile and Compressive Strengths of Polypropylene Fiber Reinforced Concrete
| British Library Conference Proceedings | 1994