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Prevention Of Early Deficiency And Mix-proportion Optimization Research On Concrete Building

Posted on:2006-12-08Degree:DoctorType:Dissertation
Country:ChinaCandidate:B ChenFull Text:PDF
GTID:1102360152993490Subject:Structure engineering
Abstract/Summary:PDF Full Text Request
Early deficiencies of concrete building, including flaws, cracks, and fractures, have been thought one of principal intrinsic predisposing causes, which lead to structure durability inactivation. By least construct cost and effective execution&curing methods, producing concrete, which can satisfy design demand, reduce structure deficiencies and improve durability, is objective requirement of modern concrete science development. It can not only reduce building service cost, but also conservatism energy and decrease pollution.In this paper, the durability evaluation, structure stress&strain calculation leaded by shrinkage distortion, and the construct&curing effect to early deficiencies have been universally discussed at first. Then, the major factors leading to early deficiencies are extracted, as limited parameters during mix-proportion optimization. After the parameters associating with concrete strength, workability in different ages, employing forecasting techniques such as non-linear regression analysis and artificial neural network program, optimize methods such as simplex method, complex method, Monte-Carlo technique, and genetic algorithms and so on, research the feasibility of mix-proportion optimization. As outcome of all the work mentioned above, the concrete mix-proportion multi-objective optimization model has been established in the end.Base on the optimize model established above, and using programming language Visual C++ 6.0, the concrete mix-proportion optimization system has been developed.In addition, as special means preventing concrete building early deficiencies, the MgO compensating contraction concrete and post-tensioned pretressing concrete has also been researched elementarily in this paper.
Keywords/Search Tags:concrete, durability, deficiency, mix-proportion, optimization, artificial neural network, Monte-Carlo technique, genetic algorithms
PDF Full Text Request
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