1. ERDC Knowledge Core
  2. Federally Sponsored Research Programs Reports
  3. Construction Productivity Research Program (CPAR)
  4. Publication
  5. Technical Report
Please use this identifier to cite or link to this item: https://hdl.handle.net/11681/4692
Full metadata record
DC FieldValueLanguage
dc.contributor.authorRadjy, Farro E.en_US
dc.contributor.authorVunic, Douglas W.en_US
dc.contributor.authorHammons, Michael I.en_US
dc.contributor.authorHarrington, Patrick T.en_US
dc.creatorConstruction Productivity Advancement Research Program (U.S.)en_US
dc.creatorU.S. Army Engineer Waterways Experiment Stationen_US
dc.creatorStructures Laboratory (U.S.)en_US
dc.creatorDigital Site Systems, Inc.en_US
dc.date.accessioned2016-03-16T22:21:04Zen_US
dc.date.available2016-03-16T22:21:04Zen_US
dc.date.issued1995-03en_US
dc.identifier.govdocTechnical Report CPAR-SL-95-1en_US
dc.identifier.urihttp://hdl.handle.net/11681/4692en_US
dc.descriptionTechnical Reporten_US
dc.description.abstractThis report documents the development of a commercial computer automated system for concrete quality control. The system consists of a software package and two pieces of computerized test equipment. The software package, Quadrel™, runs on a personal computer in the Microsoft Windows environment and was designed for the concrete construction testing and planning industry. The two pieces of test equipment consist of the Qdrum™ calorimeter and the QuadLogger™ datalogger. The technical basis for the development of the system is the maturity principle as defined by the Freisleben Hansen model. It is assumed that both adiabatic heat development and compressive strength development are functions of the maturity. The concrete quality control and evaluation functions are accomplished through analyzing and interpreting various concrete test data and batch information. The data required by the system include the mixture proportions, adiabatic heat signature, and standard fresh and hardened concrete tests. A system of relational databases are used to link batches, tests and equipment. Expert system technology is used to determine whether a candidate mixture is within a given specification.en_US
dc.description.sponsorshipConstruction Productivity Advancement Research Program (U.S.)en_US
dc.description.sponsorshipUnited States. Army. Corps of Engineersen_US
dc.description.tableofcontentsPreface...............vi Conversion Factors, Non-SI to SI Units of Measurement...............vii 1-Introduction...............1 Background...............1 Objectives and Scope...............2 2-Review of Quadrel 1.3 and Work Accomplished...............3 Description of Quadrel 1.3...............3 Technical Background...............3 Background and basic concepts...............3 Maturity...............4 Parametric Description of Strength Data...............5 Heat Signature Data and Its Parametric Description...............7 The multiprocess model...............9 Number of peaks determines number of processes...............9 Description of Quadrel TM Basice Functions...............10 Batch information and test data...............10 Quality control functions...............10 Simulation functions...............14 3-Review of Test Data and Data Correlations...............18 Test Data...............18 Heat signature and strength data...............18 Degree of reproducibility...............19 Test Data Evaluation Procedure...............19 Visual evaluation...............19 Procedure for batch expert validation...............20 Procedure for signature matching for: validation w/c prediction, and strength prediction...............20 Prediction for simulation...............21 A Unified View of Strength and Heat Using the Gel/Space Powers model...............21 Powers' gel/space model...............22 AHS estimation of strength...............23 4-Quadrel System Job Site Deployment...............25 Summary of Quadrel Application...............25 What is Quadrel?...............25 Quadrel functions...............25 Benefits of using heat signature testing and data managmenet functions...............26 Benefits of using the simulation functions...............27 Using Quadrel in the Lab or at the Job Site...............28 Data structure and needed data...............29 Data management...............29 Data evaluation...............29 Summary of Quadrel user/event flow chart...............30 References...............32 Appendix A: Selected Test Data...............A1en_US
dc.format.extent48 pages/7.85 MBen_US
dc.format.mediumPDFen_US
dc.language.isoen_USen_US
dc.publisherU.S. Army Engineer Waterways Experiment Stationen_US
dc.relationhttp://acwc.sdp.sirsi.net/client/en_US/search/asset/1042330en_US
dc.relation.ispartofseriesTechnical Report (Construction Productivity Advancement Research Program (U.S.)) ; no.Technical Report CPAR-SL-95-1en_US
dc.rightsApproved for public release; distribution is unlimiteden_US
dc.sourceThis Digital Resource was created from scans of the Print Resourceen_US
dc.subjectAdiabatic heat signatureen_US
dc.subjectCompressive strengthen_US
dc.subjectComputer applicationsen_US
dc.subjectConcrete maturityen_US
dc.subjectConcrete quality controlen_US
dc.subjectExpert systemsen_US
dc.subjectData processingen_US
dc.subjectConstruction Productivity Advancement Research Program (U.S.)en_US
dc.titleDevelopment of an automated concrete quality control and simulation planning systemen_US
dc.typeReporten_US
Appears in Collections:Technical Report

Files in This Item:
File Description SizeFormat 
TR-CPAR-SL-95-1.pdfTechnical Report CPAR-SL-95-17.85 MBAdobe PDFThumbnail
View/Open
Show simple item record