本文選題：水泥微觀結(jié)構(gòu) + 水泥水化�。� 參考：《濟(jì)南大學(xué)》2017年碩士論文

【摘要】：隨著社會(huì)經(jīng)濟(jì)的發(fā)展,水泥在世界范圍內(nèi)被廣泛應(yīng)用,已經(jīng)成為基礎(chǔ)建設(shè)中必不可少的建筑材料,并且需求量越來越大,同時(shí)水泥的高質(zhì)量和高性能也越來越受關(guān)注。從微觀上來看,水泥的微觀紋理結(jié)構(gòu)的變化會(huì)直接影響水泥的各項(xiàng)特性,所以通過水泥實(shí)體微觀結(jié)構(gòu)來分析、預(yù)測水泥水化過程,進(jìn)而提高水泥的性能具有非常重要的現(xiàn)實(shí)意義。水泥水化的過程中不僅伴隨著復(fù)雜的化學(xué)變化,同時(shí)水泥的微觀紋理結(jié)構(gòu)也發(fā)生著微妙的變化。傳統(tǒng)的方法是采用物理化學(xué)的方法來測定水泥樣本指標(biāo),并且僅能局限于細(xì)微顆粒規(guī)模的實(shí)驗(yàn),不能進(jìn)行龐大規(guī)模的實(shí)驗(yàn),例如高樓建筑、高架橋等建筑物。隨著近年來的計(jì)算材料學(xué)的發(fā)展,利用計(jì)算機(jī)對材料進(jìn)行仿真模擬實(shí)驗(yàn)成為了當(dāng)下材料研究的熱點(diǎn)。所以,針對水泥的各項(xiàng)特性,本文通過對水泥實(shí)體微觀結(jié)構(gòu)進(jìn)行建模,并利用GPU平臺(tái)對水泥微觀建模過程進(jìn)行加速,通過建立準(zhǔn)確高效的水泥實(shí)體紋理模型來實(shí)現(xiàn)大規(guī)模水泥紋理合成,為預(yù)測大規(guī)模建筑的水泥不同時(shí)期水化過程提供初始狀態(tài)。本文主要從以下幾個(gè)方面進(jìn)行水泥實(shí)體紋理建模研究:(1)基于二維真實(shí)水泥圖像的水泥圖像紋理結(jié)構(gòu)建模(2D-2D)本文提出了基于真實(shí)二維水泥圖像的紋理隨機(jī)合成算法。水泥圖像數(shù)據(jù)運(yùn)用的是真實(shí)的實(shí)體水泥二維切片,以馬爾科夫隨機(jī)場模型為算法的基礎(chǔ)思想,以及采用多層高斯模糊的方式,對二維水泥紋理進(jìn)行合成。通過多組對比實(shí)驗(yàn),對影響二維水泥紋理合成效果的因素進(jìn)行詳細(xì)分析。(2)基于三維真實(shí)水泥實(shí)體的水泥實(shí)體微觀結(jié)構(gòu)建模(3D-3D)將二維紋理合成算法融入到三維水泥實(shí)體紋理合成的方法中,首先針對二維參數(shù)的三維化,將算法重新定義。通過多組對比實(shí)驗(yàn),分析影響三維水泥實(shí)體紋理合成的相關(guān)因素,同時(shí)采用三維顯示軟件對實(shí)驗(yàn)結(jié)果做可視化處理,便于實(shí)驗(yàn)結(jié)果觀察評(píng)估。(3)基于二維真實(shí)水泥圖像的水泥實(shí)體微觀結(jié)構(gòu)建模(2D-3D)由于水泥具有各向同性的特點(diǎn),因此可以從二維水泥紋理圖像獲得水泥實(shí)體的三維化數(shù)據(jù)信息。通過,,ZYX三個(gè)方向來獲取水泥紋理信息,通過鄰域和灰度進(jìn)行匹配,完成二維到三維實(shí)體紋理合成算法,然后詳細(xì)分析實(shí)驗(yàn)結(jié)果。(4)三維水泥實(shí)體微觀結(jié)構(gòu)建模并行化對三維水泥實(shí)體紋理合成的串行算法進(jìn)行分析,通過統(tǒng)計(jì)串行算法每個(gè)步驟的時(shí)間消耗,總結(jié)出消耗時(shí)間巨大并且獨(dú)立性強(qiáng)的算法步驟,提出水泥實(shí)體微觀結(jié)構(gòu)合成的并行算法,其中包括基于三維真實(shí)水泥實(shí)體的水泥實(shí)體紋理合成算法和基于二維真實(shí)水泥圖像的水泥實(shí)體合成算法,通過實(shí)驗(yàn)結(jié)果分析,并行實(shí)驗(yàn)的效率比較高,證明本文的并行算法具有高效性。
[Abstract]:With the development of social economy, cement has been widely used in the world, and has become an indispensable building material in infrastructure construction, and the demand is increasing. At the same time, the high quality and high performance of cement are paid more and more attention. From the microscopic point of view, the change of cement microstructure will directly affect the properties of cement, so the cement hydration process can be predicted by analyzing the microstructure of cement entity. And then improve the performance of cement has very important practical significance. The process of cement hydration is accompanied not only by complex chemical changes, but also by subtle changes in the microstructure of cement. The traditional method is to use physical and chemical methods to measure the cement sample index, and can only be limited to the fine particle size of the experiment, can not carry out a large scale of experiments, such as high-rise buildings, viaducts and other buildings. With the development of computational materials in recent years, computer simulation of materials has become a hot topic. Therefore, according to the characteristics of cement, this paper models the microstructure of cement entity, and uses GPU platform to accelerate the process of cement micro-modeling. An accurate and efficient cement solid texture model is established to realize large-scale cement texture synthesis, which provides the initial state for predicting the hydration process of cement in different periods of large-scale construction. In this paper, the following aspects of cement solid texture modeling research: 1) based on two-dimensional real cement image texture structure modeling cement image 2D-2D) this paper proposes a texture random synthesis algorithm based on real two-dimensional cement image. The cement image data is based on the real two-dimensional slice of solid cement. The basic idea of Markov random field model and the multi-layer Gao Si fuzzy method are used to synthesize the two-dimensional cement texture. Through a number of comparative experiments, The factors that affect the effect of 2D cement texture synthesis are analyzed in detail. (2) 3D cement entity microstructure modeling based on 3D real cement entity 3D-3D) integrates 2D texture synthesis algorithm into 3D cement entity texture synthesis method. Firstly, the algorithm is redefined for the 3D of two-dimensional parameters. Through multi-group contrast experiments, the related factors affecting the texture synthesis of 3D cement entity are analyzed, and the experimental results are visualized by using 3D display software. It is convenient to observe and evaluate the experimental results. (3) the microstructure modeling of cement entity based on 2D real cement image (2D-3D) can obtain 3D data information of cement entity from two-dimensional cement texture image because cement has isotropic characteristics. The cement texture information is obtained from three directions of ZYX, and the 2D to 3D solid texture synthesis algorithm is completed by matching the neighborhood and gray level. Then we analyze the experimental results in detail. 4) the parallel modeling of 3D cement entity microstructure is used to analyze the serial algorithm of 3D cement entity texture synthesis, and the time consumption of each step of the serial algorithm is calculated. Summing up the time-consuming and independent steps of the algorithm, a parallel algorithm for the microstructure synthesis of cement entities is proposed. It includes the texture synthesis algorithm based on 3D real cement entity and the cement entity synthesis algorithm based on two-dimensional real cement image. Through the analysis of experimental results, the efficiency of parallel experiment is relatively high. It is proved that the parallel algorithm in this paper is efficient.
【學(xué)位授予單位】：濟(jì)南大學(xué)
【學(xué)位級(jí)別】：碩士
【學(xué)位授予年份】：2017
【分類號(hào)】：TQ172.1;TP391.41

【參考文獻(xiàn)】

相關(guān)期刊論文 前9條

1 常晨;何建農(nóng);;一種改進(jìn)的Criminisi圖像修復(fù)方法[J];福州大學(xué)學(xué)報(bào)(自然科學(xué)版);2017年01期

2 吳曉軍;徐廣毅;;基于三維模型幾何信息的紋理圖像壓縮[J];計(jì)算機(jī)輔助設(shè)計(jì)與圖形學(xué)學(xué)報(bào);2016年03期

3 王琳;楊波;趙秀陽;陳月輝;常鈞;;由硅酸鹽水泥的觀測數(shù)據(jù)反向萃取水化早期動(dòng)力學(xué)方程[J];中國科學(xué):技術(shù)科學(xué);2010年05期

4 王磊;張春燕;;基于圖形處理器的通用計(jì)算模式[J];計(jì)算機(jī)應(yīng)用研究;2009年06期

5 嚴(yán)志程;陳為;;基于二維紋理樣本的方向場引導(dǎo)的體紋理合成[J];計(jì)算機(jī)輔助設(shè)計(jì)與圖形學(xué)學(xué)報(bào);2008年09期

6 吳福理,石教英;基于三角塊的曲面紋理合成[J];計(jì)算機(jī)輔助設(shè)計(jì)與圖形學(xué)學(xué)報(bào);2005年02期

7 吳恩華;圖形處理器用于通用計(jì)算的技術(shù)、現(xiàn)狀及其挑戰(zhàn)[J];軟件學(xué)報(bào);2004年10期

8 吳恩華,柳有權(quán);基于圖形處理器(GPU)的通用計(jì)算[J];計(jì)算機(jī)輔助設(shè)計(jì)與圖形學(xué)學(xué)報(bào);2004年05期

9 何暉光,田捷,楊驊,葛行飛;三維醫(yī)學(xué)影像診斷工作站—3dmed[J];中國體視學(xué)與圖像分析;2001年02期

相關(guān)博士學(xué)位論文 前1條

1 王琳;基于計(jì)算智能的水泥水化過程建模方法與關(guān)鍵技術(shù)研究[D];山東大學(xué);2011年

，

本文編號(hào)：1882524