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1. |
INFORMATION ARCHITECTURE CONSIDERATIONS FOR A SMART STRUCTURAL SYSTEM |
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Civil Engineering Systems,
Volume 12,
Issue 1,
1995,
Page 1-19
STUARTS. CHEN,
SUNGKON KIM,
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摘要:
The eventual development of smart structural systems will require well-designed computational support for the signal processing and diagnostic inferencing associated with multi-channel instrumented structures. This paper discusses knowledge modeling issues and requirements for a smart structural system, and a logic-based object-oriented information architecture for organizing and managing the data arising from an instrumented structure is presented. A neural network is employed within this information architecture for damage identification. The resulting software implementation is described and illustrated in the context of a laboratory case study of damage detection in a successively damaged steel truss structure.
ISSN:0263-0257
DOI:10.1080/02630259508970155
出版商:Taylor & Francis Group
年代:1995
数据来源: Taylor
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2. |
GEOGRAPHIC INFORMATION SYSTEM TECHNOLOGY AND ITS APPLICATIONS IN CIVIL ENGINEERING |
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Civil Engineering Systems,
Volume 12,
Issue 1,
1995,
Page 21-35
J. E. MOORE,
S. JITPRASITHSIRI,
H. LEE,
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摘要:
Geographic information system (GIS) technology is attracting interest from a broad range of civil engineering disciplines because of its potential to provide a new environment for problem solving which could lower costs, improve quality, and support multi-discipline analysis for complex projects. This paper reviews the primary components and capabilities of GIS technology and shows how it is used in many civil engineering applications, including infrastructure management, transportation, land use planning, water resources engineering, and environmental engineering.
ISSN:0263-0257
DOI:10.1080/02630259508970156
出版商:Taylor & Francis Group
年代:1995
数据来源: Taylor
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3. |
THE NEED TO CONSIDER MISSING DATA IN TRANSPORTATION RESEARCH |
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Civil Engineering Systems,
Volume 12,
Issue 1,
1995,
Page 37-48
R. ANDERSON-SPRECHER,
M. IVANOVIC,
E. M. WILSON,
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摘要:
Ignoring or inappropriately treating missing data can lead to inefficiency and biased estimation. Three classes of missing data are defined and an overview of various methods for accommodating missing data is presented. A model-based approach to missing data is advanced, and tools for finding maximum- likelihood estimates in this context-in particular, the Expectation-Maximization (EM) algorithm - are described. Strengths and limitations of the EM algorithm are specified. Application of techniques to linear and loglinear models are described, and other possible applications are cited. Implementation is illustrated using epidemiological accident data.
ISSN:0263-0257
DOI:10.1080/02630259508970157
出版商:Taylor & Francis Group
年代:1995
数据来源: Taylor
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4. |
AN ANALYTICAL GROUNDWATER MODELING APPROACH FOR NATURAL RESOURCES UTILIZING GIS |
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Civil Engineering Systems,
Volume 12,
Issue 1,
1995,
Page 49-65
A. A. OLOUFA,
A. I. El-KADI,
A. A. ELTAHAN,
H. U. MALIK,
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摘要:
Suscessful water resource management requires the availability and synthesis of data from a multitude of sources. The system should also be capable of retrieving data related to these aspects in a format suitable for analysis by various simulation models. The objective is to store the required data pertaining to the various water and environmental resources in a flexible format that is simple to update; and to utilize a technology capable of linking the various parameters in an intuitive visual format. The technology of geographical information systems (GIS) offers such as approach. This paper discusses the design, development and implementation of a geographic information system for water resources information management and modeling. Emphasis on ease of use, portability, and data shareability are some of the major factors considered in the design of our system. For this pilot project, databases for soil types, wells aquifers, rainfall rates, and streams are used as the underlying databases. Utilization of the GIS as a shell for analytical groundwater modeling is also presented.
ISSN:0263-0257
DOI:10.1080/02630259508970158
出版商:Taylor & Francis Group
年代:1995
数据来源: Taylor
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5. |
DECISION ANALYSIS FOR NEW CONSTRUCTION TECHNOLOGY IMPLEMENTATION |
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Civil Engineering Systems,
Volume 12,
Issue 1,
1995,
Page 67-82
LI-CHUNG CHAO,
MIROSLAWJ. SKIBNIEWSKI,
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摘要:
This paper first reviews factors that are the basis of construction technology development. The economic feasibility study of implementing a new technology in a construction firm is decomposed into the feasibility study of technology acquistion and that of technology operation. Risks associated with each of these two parts are identified. Based on the theory of utility under uncertainty, a model for evaluation of new technology alternatives is proposed. An example of decision analysis for implementation of partially automated tremie concreting of slurry walls is presented to illustrate this method. The significance of sensitivity analysis in the evaluation process is discussed.
ISSN:0263-0257
DOI:10.1080/02630259508970159
出版商:Taylor & Francis Group
年代:1995
数据来源: Taylor
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6. |
CALENDAR |
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Civil Engineering Systems,
Volume 12,
Issue 1,
1995,
Page 83-84
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PDF (49KB)
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ISSN:0263-0257
DOI:10.1080/02630259508970160
出版商:Taylor & Francis Group
年代:1995
数据来源: Taylor
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