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Multiple analyses have shown that the strength of heat domes, the bulging zones of high pressure that are the source of extremely high temperatures, has trended upward in recent decades.
In this study, an artificial neural network (ANN) model was developed for predicting an optimum bonding strength of heat treated woods.
A probabilistic model was developed to predict fatigue strength of heat treated high carbon steel and compared with the experimental data.
The thermal interactions with ground and the GCHP performance are strictly related to a number of factors, including the ground properties, the BHE field geometry, the sequence and strength of heat loads required by the building.
One of such properties is the thermal conductivity that characterizes the strength of heat conduction and has become a research focus of nanofluid society in the last decade [1 9].
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This paper presents results of an experimental study undertaken to optimize the residual compressive strength of heated high performance concrete using the Taguchi off-line method and the utility concept.
FA improved the residual compressive strength of heated RAC the most followed by MK, PSA, cement, and SF although SF, MK, and PSA concrete showed the higher improvement of compressive strength than others at 20 °C.
strength of heating element.
It's easier to ask about details iike Wi-Fi signal strength; the effectiveness of heat or air-conditioning; how close the markets are; and other details that are important to us.
Reduction rate for strength properties of heat treated samples was relatively lower than that of control samples.
Thanks to the results of this study, strength properties of heat treated woods can be determined in a short period of time with low error rates so that usability of such wood species for structural purposes can be better understood.
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