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https://hdl.handle.net/11681/4692
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DC Field | Value | Language |
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dc.contributor.author | Radjy, Farro E. | en_US |
dc.contributor.author | Vunic, Douglas W. | en_US |
dc.contributor.author | Hammons, Michael I. | en_US |
dc.contributor.author | Harrington, Patrick T. | en_US |
dc.creator | Construction Productivity Advancement Research Program (U.S.) | en_US |
dc.creator | U.S. Army Engineer Waterways Experiment Station | en_US |
dc.creator | Structures Laboratory (U.S.) | en_US |
dc.creator | Digital Site Systems, Inc. | en_US |
dc.date.accessioned | 2016-03-16T22:21:04Z | en_US |
dc.date.available | 2016-03-16T22:21:04Z | en_US |
dc.date.issued | 1995-03 | en_US |
dc.identifier.govdoc | Technical Report CPAR-SL-95-1 | en_US |
dc.identifier.uri | http://hdl.handle.net/11681/4692 | en_US |
dc.description | Technical Report | en_US |
dc.description.abstract | This 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.sponsorship | Construction Productivity Advancement Research Program (U.S.) | en_US |
dc.description.sponsorship | United States. Army. Corps of Engineers | en_US |
dc.description.tableofcontents | Preface...............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...............A1 | en_US |
dc.format.extent | 48 pages/7.85 MB | en_US |
dc.format.medium | en_US | |
dc.language.iso | en_US | en_US |
dc.publisher | U.S. Army Engineer Waterways Experiment Station | en_US |
dc.relation | http://acwc.sdp.sirsi.net/client/en_US/search/asset/1042330 | en_US |
dc.relation.ispartofseries | Technical Report (Construction Productivity Advancement Research Program (U.S.)) ; no.Technical Report CPAR-SL-95-1 | en_US |
dc.rights | Approved for public release; distribution is unlimited | en_US |
dc.source | This Digital Resource was created from scans of the Print Resource | en_US |
dc.subject | Adiabatic heat signature | en_US |
dc.subject | Compressive strength | en_US |
dc.subject | Computer applications | en_US |
dc.subject | Concrete maturity | en_US |
dc.subject | Concrete quality control | en_US |
dc.subject | Expert systems | en_US |
dc.subject | Data processing | en_US |
dc.subject | Construction Productivity Advancement Research Program (U.S.) | en_US |
dc.title | Development of an automated concrete quality control and simulation planning system | en_US |
dc.type | Report | en_US |
Appears in Collections: | Technical Report |
Files in This Item:
File | Description | Size | Format | |
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TR-CPAR-SL-95-1.pdf | Technical Report CPAR-SL-95-1 | 7.85 MB | Adobe PDF | View/Open |