چكيده فارسي :
ضريب عكس العمل بستر يكي از پارامترهاي مهم در طراحي سازه هاي عمراني است. اين پارامتر جز مشخصات ذاتي خاك نبوده و به عوامل متعددي بستگي دارد. يكي از عواملي كه كمتر به آن پرداخته شده است عمق قرارگيري پي است. در اين پژوهش با استفاده از روش عددي تاثير عمق قرارگيري پي بر مقدار ضريب عكس العمل بستر بررسي شده است. براي اين منظور نتايج 4 آزمايش بارگذاري صفحه كه روي خاك هاي ماسه اي شهر قم و در عمق هاي مختلف انجام شده، استفاده شده است. نتايج حاصل از مدل سازي عددي در اين پژوهش نشان دهنده تاثير قابل توجه عمق قرارگيري پي بر مقدار ضريب عكس العمل بستر و افزايش اين ضريب نسبت به عمق است. همچنين در ادامه به مقايسه نتايج حاصل از مدل سازي عددي با دو رابطه ترزاقي و باولز پرداخته شده است. بر اين اساس در پي هاي با عرض كوچك تر از 5 متر، رابطه ترزاقي مقادير كمتر و در پي هاي با عرض بيشتر از 5 متر، مقادير بزرگ تري از مدل عددي ارائه مي كند و در رابطه باولز تا عمق 5 متري از سطح زمين هماهنگي خوبي با نتايج حاصل از مدل عددي مشاهده شده است. در نهايت با استفاده از داده هاي به دست آمده، رابطه اي تجربي براي خاك هاي ماسه اي مورد بررسي ارائه مي شود
چكيده لاتين :
Subgrade reaction coefficient is one of the important parameters in the design of structures that for the first time was presented by Winkler (1867). In the Winkler method, in order to evaluate and calculate the vertical displacement of the beam, it is assumed that the deformation at each point of the beam fits with the contact pressure of the reactive bed at that point and for mathematical defining of this ratio, the term ”Subgrade reaction coefficient” was used. After Winkler so many researchers such as Baiot, Terazeghi, Vesic and Bowles have studied on this parameter. Researches show that this parameter is not a constant characteristic of soil and depends on many factors. Factors such as size, shape of foundation, soil type, bending stiffness of soil and foundation, level of under ground water and water content are effective on Subgrade reaction coefficient. One of this factor that less attention has been in prior research is the depth of foundation. In this study by using of numerical method, the effect of the depth of foundation on the amount of Subgrade reaction coefficient was studied. For this purpose the results of 4 samples of plate load test at four depths 10, 12 ,14 and 20 meters and an numerical models that consider the depth of foundation placement have been used. Plate load tests have been conducted on sandy soils of Qom city. Numerical model was done by PLAXIS 2D V8.2 software and hardening soil behavior model was used for sandy soil. The results of numerical model in this study show significant effect of the depth of foundation on the value of Subgrade reaction coefficient and that by increasing the depth, this coficient is increased and changes in foundations with smaller dimention is more and with increasing the dimention of foundation, the percentage of increasing of Subgrade reaction coefficient decreases. The increase in the depth of the foundation from a given value to the next has a small effect on the amount of response coefficient, and almost immediately afterwards, the coefficient of reaction of the bed has reached a constant. In the following, results of numerical model is compared with two formula of Terzaghi and Bowles. For the comparing with Terzaghi formula, the results of plate load test is used and for different width of foundation this amount was calculated and compared with results of numerical model. Tezaghi formula for sandy soils first presents smaller amount and then larger amount than the numerical model. Based on the results of four studied soils, with the fewer depth of test implimentation, results of Tarzaghi formula and numerical model have adaptation in fewer width of foundation. In depth of 10 to 20 meters of current research, almost in foundation width of 5 meter, the results of numerical model is adapted to Tarzaghi formula. The results of comparing the numerical model with Bowles formula shows, to a definite depth for foundation, there is good adaptation between results of this formula and numerical model and with increasing the depth, the differences between Bowles formula and numerical model increases. Finally by using of all states data and nonlinear regression method and SPSS V20 software, for studied sand soils a proposed formula was presented.
