Modeling of thermo-physical properties for FRP composites under elevated and high temperature

Bai, Yu; Vallée, Till; Keller, Thomas

doi:10.1016/j.compscitech.2007.04.019

Cited by 87 publications

(33 citation statements)

References 32 publications

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“…When the CF/EP is irradiated at 6 W cm −2 for 30 s, the decomposition thickness reaches to 0.7 mm, and the stress in the surface of the composites is increased to 3.2 MPa. This study provides a threshold value for CF/EP under thermal radiation and a significant reference to polymer matrix composites when these composites are used in extreme environments exposed to strong thermal radiation [22].…”

Section: Discussionmentioning

confidence: 99%

Thermal response of carbon fiber reinforced epoxy composites irradiated by thermal radiation

Gao

et al. 2020

Mater. Res. Express

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Although carbon fiber reinforced epoxy composites (CF/EP) have been widely used in many fields, it is still unknown if such composites could be used in extreme environments exposed to high-intensity thermal radiation that could result in severe damage to materials. In this case, CF/CP has been prepared through thermocompression method and the thermal radiation experiment has been designed and performed. The obtained results show that the parameters including irradiation power density and irradiation time directly affect the damage degree. After irradiation with 4-6 W cm −2 of thermal radiation, decomposition occurred in all CF/EP composites. In addition, the numerical simulation method was used to calculate the effect process, and the results showed that when the thermal radiation coefficient was 0.88, the calculated temperature history was consistent with that of the experiment. After irradiated at 6 W cm −2 for 30 s, the decomposition thickness reaches to 0.7 mm, indicating the high-intensity thermal radiation has caused an obvious effect on CF/EP.The irradiation experiment was conducted on the radiation platform of the thermal radiation source in the State Key Laboratory of Fire Science, University of Science and Technology of China. The structure of the platform and the position diagram of each measuring instrument are shown in figure 1. The thermal radiation source is composed of a silicon and molybdenum rod array, which generates thermal radiation through heating. The thermal radiation power density can reach 8 W cm −2 under an irradiation area of 530 mm×530 mm. Infrared thermography and thermocouple were used to measure the temperature history of the irradiated surface and back surface of the samples. A high-speed camera was used to monitor the dynamic process of sample irradiation. Photodetectors recorded the start and end times of irradiation by collecting optical signals.Epoxy resin (Model: E51) and alicyclic amine modified epoxy curing agent (Model: 6182) was obtained from Beijing Tonglian Hengxing Technology Co., Ltd Carbon fibers (Model: T300) were provided by Yancheng Xiang Sheng Carbon Fiber Technology Co., Ltd Carbon fiber CF/EP samples were prepared through compression molding, and the volume ratio of carbon fiber is 60%. The size of the CF/EP sample was 10 cm×10 cm and the thickness was 3 mm. The irradiation experiments were conducted at different power densities (4-6 W cm −2 ) and irradiation times (20-60 s).

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Section: Discussionmentioning

confidence: 99%

Thermal response of carbon fiber reinforced epoxy composites irradiated by thermal radiation

Gao

et al. 2020

Mater. Res. Express

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“…In addition, short-term accelerated tests can lead to high uncertainty of the activation energy value for the GFRP bars exposed to high pH pore solutions (Chin et al 2001;Chen et al 2006). Yu et al (2007) also reported that the determination of parameters in the Arrhenius law were also highly uncertain. Because determining the exact value of these parameters is beyond the scope of this paper, the activation energy is assumed to be the average value of Proctor's extensive data set (range, 89-93 kJ/mol).…”

Section: Models From the Literaturementioning

confidence: 99%

Time-Variant Strength Capacity Model for GFRP Bars Embedded in Concrete

2013

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Glass fiber-reinforced polymer (GFRP) concrete reinforcement exhibits high strength, is lightweight, can decrease time of construction, and is corrosion resistant. However, research has shown that chemical reactions deteriorate the GFRP reinforcing bars over time, resulting in a reduced tensile capacity. This paper develops a time-variant probabilistic model to predict the tensile capacity of GFRP bars embedded in concrete. The developed model is probabilistic to properly account for the relevant sources of uncertainties, including the statistical uncertainty in the estimation of the unknown model parameters (because of the finite sample size), the model error associated with the inexact model form (e.g., a linear expression is used when the actual and unknown relations are nonlinear), and missing variables (i.e., the model only includes a subset of the variables that influence the quantity of interest.) The proposed model is based on a general diffusion model, in which water or ions penetrate the GFRP bar matrix and degrade the glass fiber-resin interface. The model indicates that GFRP reinforcement bars with larger diameters exhibit lower rates of capacity loss. The proposed probabilistic model is used to assess the probability of not meeting the tensile strength requirement based on specifications over time and can be used to assess the safety and performance of GFRP reinforced systems. Sensitivity and importance analyses are carried out to explore the effect of the parameters and random variables on the probability estimates.

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“…Furthermore, numerous experimental studies have demonstrated that heating rates considerably influence the measured thermal properties and decomposition behavior of composites. For example, the decomposition temperature of polymer matrices tends to shift to higher temperatures with increasing heating rate; [1][2][3][4] therefore, the characterization of thermal properties needs to be conducted over a broad range of temperatures and heating rates in order to inform reliable simulation methods that accurately predict the thermal response of composite materials.…”

Section: Introductionmentioning

confidence: 99%

“…1,5,6 Various fitting methods have been demonstrated for obtaining KMPs from TGA data. For non-experts in this field, we recommend reviewing the comprehensive set of recommendations for performing kinetic computations on thermal analysis data provided by Vyazovkin et al 6 Yu et al 4 summarized some of these well-known methods for determining KMPs (Ozawa, 2 Friedman, 7 Kissinger, 8 and modified Coats-Redfern 9,10 ) applicable to PMCs. Once determined, the KMPs were used to estimate the thermal properties and the variations of such properties under various T and .…”

Section: Introductionmentioning

confidence: 99%

“…Once determined, the KMPs were used to estimate the thermal properties and the variations of such properties under various T and . 4 The Friedman 7 and Ozawa 2 methods are so-called ''multi-curve'' methods, which determine a set of KMPs from TGA data measured at several different . The TGA data points at a specific a obtained from different heating rates yield a straight line, and the slope of that line is related to E A .…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Identifying unified kinetic model parameters for thermal decomposition of polymer matrix composites

Sihn

Ehlert

Roy

et al. 2018

Journal of Composite Materials

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Predicting thermal responses of composite materials requires accurate input parameters derived from reliable thermal property characterization and kinetic models. Composite material properties and decomposition kinetics vary with temperature and heating rate. Typically, conventional kinetic models derived from thermogravimetric analysis data result in multiple sets of kinetic model parameters, which are difficult to implement into numerical simulations under widely varying temperature and heating rate conditions. Here, a methodology was developed to reliably predict decomposition processes of composite materials with a single (i.e., unified) set of kinetic model parameters. The unified kinetic model parameters for each of four different composite materials were used to accurately predict decomposition kinetics observed over the entire range of experimental temperatures and heating rates. Furthermore, this broadly applicable methodology may predict decomposition from limited data sets, and is expected to extrapolate reliably measurable data to experimentally challenging heating rates and temperatures.

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Modeling of thermo-physical properties for FRP composites under elevated and high temperature

Cited by 87 publications

References 32 publications

Thermal response of carbon fiber reinforced epoxy composites irradiated by thermal radiation

Thermal response of carbon fiber reinforced epoxy composites irradiated by thermal radiation

Time-Variant Strength Capacity Model for GFRP Bars Embedded in Concrete

Identifying unified kinetic model parameters for thermal decomposition of polymer matrix composites

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