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基于宏觀實(shí)驗(yàn)數(shù)據(jù)的巖土材料細(xì)觀參數(shù)反演

發(fā)布時(shí)間:2018-03-05 17:00

  本文選題:離散單元法 切入點(diǎn):顆粒流 出處:《大連理工大學(xué)》2015年碩士論文 論文類型:學(xué)位論文


【摘要】:巖土材料不同于一般的宏觀連續(xù)介質(zhì)材料,其在細(xì)觀組構(gòu)上是顆粒堆積體,內(nèi)部普遍存在著裂紋、孔洞及結(jié)構(gòu)面等構(gòu)造。離散單元法于1971年被引入,其將巖土材料視為由圓形顆粒構(gòu)成的顆粒集合體,在細(xì)觀層次上模擬巖土材料受力、運(yùn)動及變形狀態(tài),受到十分廣泛的應(yīng)用及進(jìn)一步的研究。二維顆粒流程序pFCD基于離散單元法而開發(fā),被廣泛應(yīng)用于隧道開挖、基坑支護(hù)、邊坡穩(wěn)定性、土工試驗(yàn)?zāi)M、巖石破碎、滲流、動載問題等諸多巖土工程領(lǐng)域。顆粒流模擬的精度主要取決于其細(xì)觀參數(shù)的確定,也稱作標(biāo)定,細(xì)觀參數(shù)的標(biāo)定通常采用常規(guī)“試錯(cuò)法”,即通過不斷改變細(xì)觀參數(shù)值直到模擬值與試驗(yàn)值基本吻合,其偶然性較高,理論性欠缺,標(biāo)定難度較高。本文針對上述巖土材料細(xì)觀參數(shù)標(biāo)定方法的不足,結(jié)合試驗(yàn)設(shè)計(jì)、響應(yīng)面法及BFGS優(yōu)化算法,提出了一種巖土材料細(xì)觀參數(shù)反演辨識方法。使用線性接觸模型模擬堆石料,根據(jù)堆石料三軸壓縮實(shí)驗(yàn)室試驗(yàn)觀測數(shù)據(jù)及先驗(yàn)信息對堆石料細(xì)觀參數(shù)進(jìn)行了初步標(biāo)定,設(shè)計(jì)了批量顆粒流模擬試驗(yàn),基于響應(yīng)面函數(shù)建立了堆石料宏觀偏應(yīng)力與細(xì)觀參數(shù)之間的非線性映射關(guān)系,采用BFGS優(yōu)化算法對堆石料細(xì)觀參數(shù)進(jìn)行了反演。使用平行粘結(jié)模型模擬改性渣土,根據(jù)改性渣土三軸壓縮實(shí)驗(yàn)室試驗(yàn)觀測數(shù)據(jù)及先驗(yàn)信息對改性渣土細(xì)觀參數(shù)進(jìn)行了初步標(biāo)定,設(shè)計(jì)了批量顆粒流模擬試驗(yàn),基于響應(yīng)面函數(shù)建立了改性渣土宏觀偏應(yīng)力與細(xì)觀參數(shù)之間的非線性映射關(guān)系,采用BFGS優(yōu)化算法對改性渣土細(xì)觀參數(shù)進(jìn)行了反演。研究表明,結(jié)合響應(yīng)面法和BFGS優(yōu)化算法,基于宏觀實(shí)驗(yàn)數(shù)據(jù)的巖土材料細(xì)觀參數(shù)反演方法具有較高的預(yù)測精度。根據(jù)估計(jì)的巖石平行粘結(jié)模型細(xì)觀參數(shù),對壓頭作用下巖石破碎過程進(jìn)行了顆粒流模擬,并與已有研究結(jié)果取得了定性上的一致。研究表明,PFC2D可從細(xì)觀角度再現(xiàn)壓頭破巖過程,平行粘結(jié)模型可用來模擬巖石材料細(xì)觀破壞行為。
[Abstract]:The geotechnical material is different from the general macroscopic continuum medium material, its mesoscopic fabric is the grain accumulation body, the interior generally exists the structure such as the crack, the pore and the structure plane and so on. The discrete element method was introduced in 1971. It regards the geotechnical material as a particle aggregate composed of circular particles, and simulates the stress, movement and deformation of the geotechnical material at the meso level. The two-dimensional particle flow program pFCD is developed based on discrete element method and is widely used in tunnel excavation, foundation pit support, slope stability, geotechnical test simulation, rock fragmentation, seepage, The precision of particle flow simulation mainly depends on the determination of its meso-parameters, also known as calibration. The calibration of mesoscopic parameters usually adopts the conventional "trial and error method", that is, by constantly changing the values of mesoscopic parameters until the simulated values basically coincide with the experimental values, the contingency is relatively high and the theory is deficient. It is difficult to calibrate. In this paper, according to the shortcomings of the methods mentioned above, the response surface method (RSM) and the BFGS optimization algorithm are combined with the experimental design. In this paper, a method for the inversion identification of mesoscopic parameters of rock and soil materials is presented. Using linear contact model to simulate rockfill, the mesoscopic parameters of rockfill are preliminarily calibrated according to the experimental data and prior information of triaxial compression laboratory test of rockfill. Based on the response surface function, the nonlinear mapping relationship between macroscopic deflection stress and mesoscopic parameters of rockfill is established. The BFGS optimization algorithm was used to invert the meso-parameters of rockfill. The modified residuum was simulated by parallel bonding model, and the meso-parameters of modified residuum were preliminarily calibrated according to the experimental data and prior information of triaxial compression laboratory test of modified residuum. A batch particle flow simulation test was designed, and the nonlinear mapping relationship between macroscopic deflection stress and mesoscopic parameters of modified residuum was established based on response surface function, and the BFGS optimization algorithm was used to invert the meso-parameters of modified residuum. Combined with response surface method and BFGS optimization algorithm, the meso-parameter inversion method of geotechnical materials based on macroscopic experimental data has high prediction accuracy. The particle flow simulation of rock breakage process under pressure head is carried out, and it is qualitatively consistent with the existing research results. The results show that PFC2D can reproduce the rock breaking process of head rock from a meso point of view. Parallel bond model can be used to simulate the mesoscopic failure behavior of rock materials.
【學(xué)位授予單位】:大連理工大學(xué)
【學(xué)位級別】:碩士
【學(xué)位授予年份】:2015
【分類號】:TU45

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