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A Research On Typical Optimization Path Influence And Decisionanalysis In High-rise Building

Posted on:2021-02-14Degree:MasterType:Thesis
Country:ChinaCandidate:Y XuFull Text:PDF
GTID:2392330605950446Subject:Engineering
Abstract/Summary:PDF Full Text Request
At present,the development of high-rise building projects is becoming more and more extensive,because of the large and complex engineering volume,difficult construction technology,and very high requirements for the construction process.It is necessary to integrate the resources of all parties and use the resources for project management.Therefore,it is necessary to find advanced progress control paths and decision-making methods for high-rise buildings to solve the process and resource conflicts.Based on the research on the domestic and international high-rise building progress optimization paths,this paper has extracted four typical high-rise building progress optimization paths:aluminum mold climbing frames,all-concrete exterior wall systems,main structure penetration acceptance,interior and exterior decoration and decoration construction,and municipal administration.Pre-emptive method;analyze the impact of the above four paths on project progress,quality,cost,and safety through literature survey;quantify and assign the above-mentioned impact degree one by one through questionnaire survey method;and then analyze 16 types of high-rise building schedule optimization decision models through system analysis method Different combinations of the four types of high-rise building optimization paths can improve the progress of high-rise buildings.Therefore,eight practical high-rise building progress optimization decision models were finally optimized,and specific case analysis and verification were conducted through the development requirements of the Asian Games Village Project and the Greentown Project.Two decision models for scheduling optimization of high-rise buildings are presented.
Keywords/Search Tags:High rise building, Schedule optimization path, Quantitative Analysis, Decision model
PDF Full Text Request
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