Expert Systems in Construction and Structural Engineering

Front Cover
H. Adeli
CRC Press, Sep 2, 2003 - Architecture - 206 pages
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Expert Systems in Construction and Structural Engineering is a valuable reference both for researchers interested in the state-of-the-art of civil engineering expert systems, and practitioners interested in exploring the practical applications of this new technology.
 

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Contents

Artificial intelligence and expert systems
1
ARTIFICIAL INTELLIGENCE
2
EXPERT SYSTEMS
5
CONVENTIONAL PROGRAMS VERSUS EXPERT SYSTEMS
6
ARCHITECTURE OF AN EXPERT SYSTEM
7
ADVANTAGES OF EXPERT SYSTEMS
8
LIMITATIONS OF EXPERT SYSTEMS
9
AI techniques and the development of expert systems
13
EXPERT SYSTEM APPROACH
178
EXAMPLE CASE STUDY
182
SUMMARY
190
REFERENCES
192
Condensation of the knowledge base in expert systems with applications to seismic risk evaluation
193
KNOWLEDGE REPRESENTATION FOR SEISMIC RISK EVALUATION
194
SYNTHETIC EVALUATION OF MULTINUMERICAL GRADES
198
EXTRACTION OF WEIGHTS
201

KNOWLEDGE REPRESENTATION
14
REPRESENTING UNCERTAINTY IN THE KNOWLEDGE BASE
17
INFERENCE MECHANISMS
18
KNOWLEDGE ACQUISITION
20
AI languages and programming environments
23
LISP
24
PROLOG
25
EXPERPROLOG II
26
OPS5
27
PROCEDURAL LANGUAGES
28
Expert system shells
33
EARLY RESEARCH TOOLS
34
MICROCOMPUTERBASED SHELLS
38
THE FUTURE OF EXPERT SYSTEM SHELLS
42
REFERENCES
43
An overview of expert systems in civil engineering
45
CONSTRUCTION ENGINEERING AND MANAGEMENT
72
ENVIRONMENTAL ENGINEERING
74
WATER RESOURCES ENGINEERING
76
GEOTECHNICAL ENGINEERING
77
EXPERT SYSTEMS IN CIVIL ENGINEERING EDUCATION
79
REFERENCES
80
Expert systems for structural design
85
EXPERT SYSTEM METHODOLOGIES FOR ENGINEERING DESIGN
86
PRELIMINARY DESIGN HIRISE
89
ANALYSIS ASSISTANCE
98
DETAILED DESIGN SPEX
106
INTEGRATED DESIGN
116
SUMMARY AND CONCLUSIONS
119
Expert systems applications in construction engineering
123
APPLICATIONS
125
CONCLUSIONS
135
REFERENCES
136
Knowledge engineering for a construction scheduling analysis system
137
EXPERT SYSTEMS IN CONSTRUCTION
138
SPECIFIC NEEDS OF A SCHEDULING EXPERT SYSTEM
141
BUILDING CONSAES
142
FUTURE RESEARCH AND DEVELOPMENT
148
ACKNOWLEDGEMENTS
153
REFERENCES
158
Approximate reasoning in structural damage assessment
161
DAMAGE ASSESSMENT PARADIGM
163
EXPERT REASONING ON STRUCTURAL DAMAGE
167
APPROXIMATE REASONING
169
SYNTHETIC EVALUATION OF MULTILINGUISTIC GRADES
206
DECISIONMAKING UNDER A FUZZY ENVIRONMENT
209
SEISMIC RISK EVALUATION SYSTEM
219
SUMMARY
222
Expert systems for condition evaluation of existing structures
225
KNOWLEDGE REPRESENTATION
226
INFERENCE PROCEDURE
231
THE LEARNING PROCESS
237
PRACTICAL IMPLEMENTATION
241
DISCUSSION AND CONCLUDING REMARKS
243
ACKNOWLEDGEMENT
244
An expert system for earthquake intensity evaluation
247
EARTHQUAKE INTENSITY SCALE OF CHINA
249
SOME APPROACHES TO EARTHQUAKE INTENSITY EVALUATION
251
FALLINGSHADOW THEORY AS A TOOL FOR COMPREHENSIVE EVALUATION
255
AN ES FOR EARTHQUAKE INTENSITY EVALUATION EIE
258
CONCLUSION
264
A knowledgebased approach to engineering information retrieval and management
267
BACKGROUND
270
ADI OVERVIEW
275
IMPLEMENTATION
278
SYSTEM EVOLUTION
291
OBSERVATIONS
292
SUMMARY
293
Knowledge acquisition for expert systems in construction
297
INITIAL OBSERVATIONS
298
SITUATIONS THAT AFFECT THE ACQUISITION PROCESS
299
SELECTING THE METHOD
301
SOME OF THE FINDINGS TO DATE
302
SOME OF THE PRACTICAL ISSUES
303
HUMAN FACTORS
305
CONCLUSIONS
306
REFERENCES
307
Codes and rules and their roles as constraints in expert systems for structural design
309
STRUCTURAL DESIGN THE ROLE OF CODES STANDARDS AND REGULATIONS
310
DESIGN CODES STANDARDS AND REGULATIONS PAST AND PRESENT
311
OUTLINE OF DEST
312
CONSTRAINT MANAGEMENT
316
CONSTRAINT REPRESENTATION
320
SUMMARY
322
REFERENCES
323
Index
324
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About the author (2003)

Hojjat Adeli is currently Professor of Civil and Environmental Engineering and Geodetic Science and Lichtenstein Professor in Infrastructure Engineering at The Ohio State University. A contributor to 70 Different scholarly journals, he has authored over 400 research and scientific publications in diverse areas of engineering, computer science, and applied mathematics since he received his PhD from Stanford University in 1976 at the age of 26. He has authored/co-authored nine pioneering books. His recent books are: Machine Learning - Neural Networks, Genetic, Algorithms, and Fuzzy Systems, John Wiley & Sons, 1995; Neurocomputing for Design Automation, CRC Press, 1998; Distributed Computer-Aided Engineering, CRC Press, 1999; High Performance computing in Structural Engineering, CRC Press, 1999; and Control, Optimization and Smart Structures - High-Performance bridges and Buildings of the Future, John Wiley & Sons, 1999. He has also edited twelve books including Intelligent Information Systems, IEEE computer Society, 1997. He is the Editor-in-Chiffon two research journals: Computer-Aided Civil and Infrastructure Engineering, which he founded in 1986, and Integrated Computer-Aided Engineering, which he found in 1993. He has been a Keynote/Plenary Lecturer at 53 International computing conference held in 32 different countries. On September 29, 1998, he was awarded a patent for a "Method and apparatus for efficient design automation and optimization, and structures produced thereby (United States Patent Number 5,815,394) (with a former PhD Student). He is the recipient of numerous academic, research and leadership awards, honors, and recognition. In 1998, he was awarded the UniversityDistinguished Scholar Award by the Ohio State University' 'in recognition of extraordinary accomplishment in research and scholarship' and the Senate of the General Assembly of State of Ohio passed a resolution honoring him as an' Outstanding Ohioan'. He is the quadruple winner of the Ohio State University College of Engineering Lumley Outstanding Research Award. He has been an organizer or a member of the organization/Scientific/program committee of 245 conference held in 54 different countries. His research has been Sponsored by 20 different organizations, including government funding agencies such as the National Science Foundation, US Air Force Dynamics Laboratory, and US Army Construction Engineering Research Laboratory, Fede3ral Highway Administration state funding agencies such as the Ohio Department of transportation, Ohio Department of Development, and the State of Ohio Research Challenge Program, professional societies such as the American Iron and Steel Institute and the American Institute of Steel construction, and corporations such as Cray Research Inc., US Steel, and Bethlehem Steel corporation.

Asim Karim is currently Assistant Professor of Computer Science and Engineering at Lahore University of manageme4nt Sciences (LUMS), Pakistan, He conducts research in diverse areas of computer science and engineering including applied artificial intelligence, intelligent data analysis and data mining, intelligent transportation systems, and high-performance computing His work has been published in 18 research articles in international journals and conferences. He is also the co-author of the book Construction Scheduling, Cost Optimization, and Management - A New Model Basedon Neurocomputing and Object Technologies published by Spon Press in 2001. He received his BSc (with honors) from the University of Engineering and Technology, Lahore, Pakistan, in 1994 and his PhD from the Ohio State University in 2002.

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