It is well known that the use of woods as construction materials can embody carbon content of structural members,which can enhance the urban sustainability.However,due to the combustibility of wood,its current applica...It is well known that the use of woods as construction materials can embody carbon content of structural members,which can enhance the urban sustainability.However,due to the combustibility of wood,its current application is restricted.To broaden the application of wood,its thermal responses exposed to fire(high temperature)is investigated in this study.Firstly,the wood kinetic parameters are determined by coats-redfern method using thermal gravimetric(TGA)data.Secondly,the density and thermal conductivity are obtained from parallel and series models.Thirdly,the specific heat capacity formula is presented considering latent and decomposition heat,which can be directly determined by differential scanning calorimetry(DSC).Finally,the one-dimensional nonlinear heat transfer model with apparent thermo-physical properties is proposed.The four-sided heating experiment of Laminated Veneer Lumber(LVL)is carried out to investigate the temperature filed.The results show that the proposed model can predict the thermal responses of timber structures subjected to fire and high temperatures precisely.展开更多
This paper is concerned with the modeling of randomness in multiscale analysis of heterogeneous materials. More specifically, a framework dedicated to the stochastic modeling of random properties is first introduced. ...This paper is concerned with the modeling of randomness in multiscale analysis of heterogeneous materials. More specifically, a framework dedicated to the stochastic modeling of random properties is first introduced. A probabilistic model for matrix-valued second-order random fields with symmetry propertries, recently proposed in the literature, is further reviewed. Algorithms adapted to the Monte Carlo simulation of the proposed representation are also provided. The derivations and calibration procedure are finally exemplified through the modeling of the apparent properties associated with an elastic porous microstructure containing stochastic interphases.展开更多
基金by the National key research and development program of China(Grant No.2017YFC0703001)National Natural Science Foundation of China(Grant No.51678297).
文摘It is well known that the use of woods as construction materials can embody carbon content of structural members,which can enhance the urban sustainability.However,due to the combustibility of wood,its current application is restricted.To broaden the application of wood,its thermal responses exposed to fire(high temperature)is investigated in this study.Firstly,the wood kinetic parameters are determined by coats-redfern method using thermal gravimetric(TGA)data.Secondly,the density and thermal conductivity are obtained from parallel and series models.Thirdly,the specific heat capacity formula is presented considering latent and decomposition heat,which can be directly determined by differential scanning calorimetry(DSC).Finally,the one-dimensional nonlinear heat transfer model with apparent thermo-physical properties is proposed.The four-sided heating experiment of Laminated Veneer Lumber(LVL)is carried out to investigate the temperature filed.The results show that the proposed model can predict the thermal responses of timber structures subjected to fire and high temperatures precisely.
基金supported by the French National Research Agency(ANR)(ANR-12-JS09-0001-01)
文摘This paper is concerned with the modeling of randomness in multiscale analysis of heterogeneous materials. More specifically, a framework dedicated to the stochastic modeling of random properties is first introduced. A probabilistic model for matrix-valued second-order random fields with symmetry propertries, recently proposed in the literature, is further reviewed. Algorithms adapted to the Monte Carlo simulation of the proposed representation are also provided. The derivations and calibration procedure are finally exemplified through the modeling of the apparent properties associated with an elastic porous microstructure containing stochastic interphases.
