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- 저자 : Peijian Chen (검색결과 2 건)
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A simple model for describing the effect of temperature on insect developmental rate
Peijian Shi,Feng Ge,Yucheng Sun,Chunli Chen 한국응용곤충학회 2011 Journal of Asia-Pacific Entomology Vol.14 No.1
The linear and Logan models are usually used to describe the effect of temperature on insect developmental rate. The linear model is often used to estimate the lower developmental threshold. However, it cannot be used to calculate the upper developmental threshold. Additionally, it fails to describe developmental rates near, at, and above the optimal developmental temperature. The Logan model can reflect temperaturedependent developmental rates from the lower to upper developmental thresholds. It is often used to compute the optimal developmental temperature and the upper developmental threshold, but it is not used to compute the lower developmental threshold. To avoid the disadvantages of these two models, we develop a new model, the ‘performance model’ on the basis of the impact of increasing temperature on enzyme activity and denaturation. The performance model was first used by Huey and Stevenson (Amer. Zool. 19,357–366) to provide a statistical description of the impact of body temperature on performance, but they did not provide underlying physiological mechanisms. Few studies have used the performance model to analyze the temperature-dependent developmental rates of insects, perhaps because of the lack of a theoretical justification. Here, we provide a theoretical justification to use the model and we use the performance model to evaluate the developmental rate data of two insect species. We found that the performance model has advantages over the linear and Logan models, and that the lower and upper developmental thresholds can be simultaneously obtained from this model.
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Yingying Zhang,Penghao Yu,Baorui Sun,Yi Zhou,Peijian Chen,Junhao Xu,Yushuai Zhao 대한토목학회 2024 KSCE Journal of Civil Engineering Vol.28 No.2
This paper investigated the seismic performance of a typical “Integrated Station-Bridge high-speed railway station structure with a composite isolation system. The influential mechanism of the structure with isolation system was analyzed based on shaking table tests, mainly investigating on the failure mode, acceleration response and displacement response. Besides, a parameter optimization method of isolation layer for long-span structures was proposed based on genetic algorithm to better enhance the isolation performance of the large-span structure. The research revealed that there was no obvious damage to the composite isolation system under the PGA = 0.82 g. The nature frequency of the structure with isolation system is only 12.5% of that of non-isolation structure. The first three natural vibration frequency of the structure with isolation system only reduce 3.4%, 3.2%, 6.14% after the PGA = 1.27 g, that of the non-isolation structure reduce by more than 20%. The acceleration amplification factor of each layer of composite isolation system is less than 1, in particular, that of truss is about 0.3. The displacement response and acceleration response of the structure with isolation system have been reduced by about 90%. The proposed optimization method of isolation layer parameters provides an important reference for the isolation design for high-speed railway stations.
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