本文選題：可壓縮堆積模型 + 堆積密實(shí)度��； 參考：《深圳大學(xué)》2017年碩士論文

【摘要】：顆粒堆積理論在醫(yī)學(xué)制藥、陶瓷工藝、粉末冶金等不同材料應(yīng)用領(lǐng)域被廣泛地用于進(jìn)行經(jīng)濟(jì)分析和優(yōu)化,近年來也將其應(yīng)用于混凝土材料的優(yōu)化設(shè)計(jì)中,尤其是被眾多研究者認(rèn)可的可壓縮堆積模型(Compressible Packing Model,簡稱CPM模型)。但目前顆粒堆積模型的應(yīng)用技術(shù)仍處于試驗(yàn)研究階段,尚未形成較為完善的適用于混凝土材料設(shè)計(jì)的應(yīng)用理論,系統(tǒng)研究顆粒堆積模型在綠色生態(tài)混凝土中的應(yīng)用理論及設(shè)計(jì)方法,將有利于低水泥用量綠色混凝土在混凝土工程中的健康、可持續(xù)發(fā)展。通過國內(nèi)外文獻(xiàn)的查閱,對(duì)已有的顆粒堆積模型發(fā)展進(jìn)行了綜述,通過分析研究表明,在這些顆粒堆積模型的理論推導(dǎo)中,均沒有直接考慮到顆粒形貌特性對(duì)顆粒體系堆積密實(shí)的影響,這也是利用顆粒堆積模型對(duì)混合料顆粒體系堆積密實(shí)度的預(yù)測值與實(shí)驗(yàn)值間存在一定差異的主要原因之一。因此,本課題著重對(duì)骨料顆粒形貌特性進(jìn)行研究,并對(duì)CPM模型中的作用效應(yīng)系數(shù)進(jìn)行優(yōu)化和完善,以進(jìn)一步提高CPM模型預(yù)測混合料顆粒體系堆積密實(shí)度的精確性。首先,從已有的顆粒形貌特征參數(shù)量化指標(biāo)中選取8個(gè)最具有代表性的量化參數(shù)指標(biāo)(扁平度、針狀度、分形維數(shù)、凸形度、球形度、形狀因子、棱角性和圓形度)并對(duì)其進(jìn)行系統(tǒng)分析,然后采用數(shù)字圖像分析處理技術(shù)(Image Pro-Plus,簡稱IPP)對(duì)選取的骨料樣品顆粒進(jìn)行圖像處理,以提取與這8個(gè)顆粒形貌量化指標(biāo)有關(guān)的參數(shù)。同時(shí),為了驗(yàn)證這些量化參數(shù)指標(biāo)的合理可行性,研究了這8個(gè)形貌特征量化參數(shù)指標(biāo)與混合顆粒體系堆積密實(shí)度的關(guān)聯(lián)性,結(jié)果表明,除了形狀因子量化參數(shù)指標(biāo)外,其它7個(gè)量化參數(shù)指標(biāo)與顆粒體系堆積密實(shí)度的相關(guān)性都較高。其次,基于可壓縮堆積模型的理論推導(dǎo)和發(fā)展及前期對(duì)骨料顆粒形貌特征研究,選取球形度和棱角性這兩個(gè)參數(shù)作為修正和完善CPM模型中松動(dòng)效應(yīng)和附壁效應(yīng)的最佳量化形貌參數(shù)指標(biāo),結(jié)合數(shù)值回歸分析的方法,提出了兩個(gè)與骨料顆粒形貌特性相關(guān)的形貌函數(shù)。最后,利用修正后的CPM模型對(duì)三元混合料顆粒體系進(jìn)行了研究,并比較CPM修正模型和CPM模型分別對(duì)三元混合顆粒體系堆積密實(shí)度預(yù)測值與實(shí)驗(yàn)值的相對(duì)誤差,以驗(yàn)證CPM修正模型對(duì)混合顆粒體系堆積密實(shí)度預(yù)測的精確性,同時(shí)結(jié)合工作性能預(yù)測模型和力學(xué)性能預(yù)測模型以更進(jìn)一步地驗(yàn)證CPM修正模型的有效可行性和精準(zhǔn)性,為后續(xù)研究CPM修正模型對(duì)混凝土混合材料進(jìn)行優(yōu)化設(shè)計(jì)奠定基礎(chǔ);根據(jù)對(duì)CPM修正模型在混凝土中的應(yīng)用研究,推薦了一種基于CPM修正模型的綠色混凝土的性能優(yōu)化設(shè)計(jì)方法,是推動(dòng)具有良好綜合性能的低碳綠色混凝土經(jīng)濟(jì)可持續(xù)發(fā)展的前進(jìn)動(dòng)力。
[Abstract]:Particle accumulation theory is widely used for economic analysis and optimization in the fields of medical pharmacy, ceramic technology, powder metallurgy and so on. In recent years, it has also been applied to the optimization design of concrete materials. In particular, the compressible Packing Model (CPM Model), which has been recognized by many researchers, is also known as Compressible Packing Model. However, the application technology of particle accumulation model is still in the stage of experimental study, and a relatively perfect application theory for concrete material design has not yet been formed. A systematic study on the application theory and design method of particle accumulation model in green ecological concrete will be beneficial to the healthy and sustainable development of green concrete with low cement content in concrete engineering. Through the reference of domestic and foreign literature, the development of existing particle stacking models is summarized. The analysis and research show that, in the theoretical derivation of these particle stacking models, The effect of particle morphology on particle compactness is not considered directly, which is one of the main reasons for the difference between the prediction value and experimental value of particle compactness by particle accumulation model. Therefore, this paper focuses on the study of aggregate particle morphology, and the optimization and improvement of the action effect coefficient in CPM model, in order to further improve the accuracy of CPM model in predicting the compactness of mixture particle system. Firstly, eight most representative quantization parameters (flatness, acicular degree, fractal dimension, convexity, globality, shape factor) are selected from the existing quantization index of particle morphology characteristic parameters, which include: flatness, acicular degree, fractal dimension, convexity, globality, shape factor. Then, image Pro-Plus (IPP) was used to process the selected aggregate particles to extract the parameters related to the quantitative indexes of the eight particles. At the same time, in order to verify the feasibility of these quantitative parameter indexes, the correlation between the eight morphologic characteristic quantization parameters and the stacking density of mixed particle system is studied. The results show that, except for the shape factor quantization parameter index, The correlation between the other seven quantitative parameters and the density of particle system is high. Secondly, based on the theoretical derivation and development of compressible stacking model and previous studies on the morphology of aggregate particles, Two parameters, sphericity and prism, are selected as the best quantitative morphologic parameters to modify and perfect the loosening effect and the wall attachment effect in the CPM model, and the numerical regression analysis method is used. Two morphology functions related to the morphology characteristics of aggregate particles were proposed. Finally, the modified CPM model is used to study the particle system of ternary mixture, and the relative errors between the CPM modified model and the CPM model are compared between the prediction value and the experimental value of the piling density of the ternary mixture particle system, respectively. In order to verify the accuracy of the CPM modified model for predicting the stacking compactness of the mixed particle system, combined with the working performance prediction model and the mechanical performance prediction model, the validity and accuracy of the CPM modified model can be further verified. It lays a foundation for the further study on the optimization design of concrete mixed material with CPM modified model, and recommends a performance optimization design method of green concrete based on CPM modified model according to the application of CPM modified model in concrete. It is the driving force to promote the sustainable development of low carbon green concrete economy with good comprehensive performance.
【學(xué)位授予單位】：深圳大學(xué)
【學(xué)位級(jí)別】：碩士
【學(xué)位授予年份】：2017
【分類號(hào)】：TU528

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本文編號(hào)：1828850