本文選題：中高強再生混凝土 + 配合比設計��； 參考：《遼寧工程技術大學》2015年碩士論文

【摘要】：隨著城市化的發(fā)展,產生了大量的建筑垃圾,其中大部分是廢棄混凝土,大量的廢棄混凝土對社會環(huán)境已經造成了巨大的污染；廢棄混凝土再生利用的形勢迫在眉睫,混凝土行業(yè)的發(fā)展必須走可持續(xù)發(fā)展的道路。利用再生混凝土配制技術,不僅可以解決廢棄混凝土引起的環(huán)境污染問題,還可以給社會帶來一定的經濟效益。目前,再生混凝土的研究及應用局限于低強度方面,中高強再生混凝土的研究尚未有系統(tǒng)的研究。本文旨在研究中高強再生混凝土的配合比設計及其基本力學性能方面,探討適用于再生骨料的二次攪拌工藝、利用低強度再生骨料配制中高強再生混凝土的可行性及利用神經網絡技術對中高強再生混凝土進行強度預測。本文研究路線為水泥(42.5普硅)+活性礦物摻合料(硅灰和粉煤灰雙摻技術)+高效減水劑(萘系減水劑),基于本文的研究成果(改進的二次攪拌工藝),成功的實現了再生混凝土高強化的目標,為再生混凝土的推廣應用提供一定的理論基礎與參考價值。以水膠比(A)、再生粗骨料替代率(B)、硅灰摻量(C)和粉煤灰摻量(D)為影響因素,各有四個水平,采用正交表L16(45)安排了16組正交試驗。通過對7d、28d和60d正交試驗結果的極差分析和方差分析,分析各因素各水平對中高強再生混凝土的基本力學性能的影響。并得出28d立方體抗壓強度的最佳配合比是：A2B3C4D2,即水膠比=0.32,再生粗骨料取代率=75%,硅灰摻量=10%,粉煤灰摻量=15%。且結果表明75%與100%取代時抗壓強度差異小,在5%以內,所以為了使再生粗骨料利用達到最大化,綜合分析得出最優(yōu)組合：A2B4C4D2。對中高強再生混凝土28d后抗壓強度進行多元線性回歸分析可知,抗壓強度與膠水比確實不呈簡單的線性關系,這也是bolomey公式不適用于中高強再生混凝土的根本原因。利用SPSS神經網絡對中高強再生混凝土7d、28d和60d立方體抗壓強度進行預測,結果顯示各個觀測點的預測情況良好。說明應用現代電腦科技對工程材料進行強度預測是十分有利的,也具有一定的可靠性和前瞻性。本文仿照斯拉特公式進行中高強再生混凝土的7d抗壓強度和28d抗壓強度之間的非線性回歸,結果為f28=f7+2.185(f7)0.5。應用此式,可由所測得的中高強再生混凝土的早期(7d)強度,來估算其28d齡期的強度。這對以后中高強再生混凝土在實際應用時,由此可控制生產施工的進度,如確定混凝土拆模、構件起吊、放松預應力鋼筋、制品堆放、出廠等的日期提供了一定理論基礎,具有一定的參考價值。
[Abstract]:With the development of urbanization, a large amount of construction waste, most of which is waste concrete, has caused huge pollution to the social environment.The development of concrete industry must take the road of sustainable development.Using recycled concrete preparation technology can not only solve the problem of environmental pollution caused by waste concrete, but also bring certain economic benefits to the society.At present, the research and application of recycled concrete is limited to low strength, and the research of medium and high strength recycled concrete has not been systematically studied.The purpose of this paper is to study the mix ratio design and basic mechanical properties of medium and high strength recycled concrete, and to discuss the secondary mixing process suitable for recycled aggregate.The feasibility of making medium and high strength recycled concrete with low strength recycled aggregate and the prediction of strength of medium and high strength recycled concrete by neural network technology are discussed.The research route of this paper is cement 42.5% silicon) active mineral admixture (silica fume and fly ash) high efficiency water reducing agent (naphthalene water reducing agent). Based on the research results of this paper (improved secondary stirring process), it has been successfully realized.The goal of high reinforcement of recycled concrete,It provides a certain theoretical basis and reference value for the popularization and application of recycled concrete.With water / binder ratio (An), replacement ratio of regenerated coarse aggregate (B), silica fume content (C) and fly ash content (D) as the influencing factors, there were four levels in each group, and orthogonal experiments were arranged in 16 groups by orthogonal table L16C45).The effects of various factors and levels on the basic mechanical properties of medium and high strength recycled concrete were analyzed by means of the range analysis and variance analysis of the results of 7 d and 60 d orthogonal tests.The optimum mixture ratio of 28d cube compressive strength is: W A 2B 3C 4D 2, that is, water / binder ratio is 0.32, replacement rate of regenerated coarse aggregate is 75 / 75, silica fume is 10 and fly ash is 15.The results show that the difference of compressive strength between 75% and 100% is small, less than 5%. In order to maximize the utilization of recycled coarse aggregate, the optimum combination: A2B4C4D2 is obtained by comprehensive analysis.The multivariate linear regression analysis of the compressive strength of medium and high strength recycled concrete after 28 days shows that there is no simple linear relationship between the compressive strength and the ratio of glue, which is the fundamental reason why the bolomey formula is not suitable for the medium and high strength recycled concrete.The SPSS neural network is used to predict the compressive strength of medium and high strength recycled concrete cubes for 7d ~ 28d and 60d respectively. The results show that the prediction of each observation point is good.It shows that the application of modern computer science and technology to the strength prediction of engineering materials is very advantageous, and also has certain reliability and foresight.In this paper, the nonlinear regression between the 7d compressive strength and 28d compressive strength of medium-high strength recycled concrete is carried out according to the Slatter formula. The result is f28=f7 2.185 f7c0.5.Using this formula, the early strength of medium and high strength recycled concrete can be estimated from the early stage of 7 d) strength of the medium and high strength recycled concrete, and the strength of the medium and high strength recycled concrete can be estimated at 28 d age.This provides a certain theoretical basis for determining the dates of concrete demolition, lifting of members, lifting of prestressed steel bars, stacking of products, leaving the factory, etc., when the medium and high strength recycled concrete is in practical application, and thus the progress of production construction can be controlled.It has certain reference value.
【學位授予單位】：遼寧工程技術大學
【學位級別】：碩士
【學位授予年份】：2015
【分類號】：TU528

【參考文獻】

相關期刊論文 前7條

1 蔡海勇;李紅霞;;不同再生骨料替代率混凝土抗壓強度試驗研究[J];河南科學;2013年04期

2 肖建莊;吳磊;范玉輝;;微波加熱再生粗骨料改性試驗[J];混凝土;2012年07期

3 李青林;代曉東;陳兵;;再生骨料混凝土實驗研究[J];四川建材;2012年01期

4 魯雪冬;葉躍忠;嚴章榮;;再生骨料高強混凝土抗壓強度研究[J];路基工程;2007年04期

5 葉躍忠;潘紹偉;李固華;楊彥克;;高性能再生混凝土試驗配制研究[J];施工技術;2005年S2期

6 陳兵,呂子儀;再生骨料高強混凝土研究[J];新型建筑材料;2003年10期

7 孔德玉,方誠,杜建根;再生骨料高強高性能混凝土配制研究[J];工業(yè)建筑;2003年10期

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本文編號：1765603