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Tables of Contents for Construction Scheduling, Cost Optimization, and Management
Chapter/Section Title
Page #
Page Count
Contents
iii
Preface
xi
Acknowledgment
xiii
About the Authors
xiv
Introduction
1
6
Overview of Neural Networks in Civil Engineering
7
38
Introduction
7
2
Construction Engineering
9
4
Construction Scheduling and Management
9
1
Construction Cost Estimation
10
1
Resource Allocation and Scheduling
11
1
Construction Litigation
12
1
Other Applications of BP and Other Neural Network Models in Construction Engineering and Management
12
1
Structural Engineering
13
17
Pattern Recognition and Machine Learning in Structural Analysis and Design
13
6
Design Automation and Optimization
19
4
Structural System Identification
23
1
Structural Condition Assessment and Monitoring
23
3
Structural Control
26
1
Finite Element Mesh Generation
27
1
Structural Material Characterization and Modeling
28
1
Parallel Neural Network Algorithms for Large-Scale Problems
29
1
Environmental and Water Resources Engineering
30
2
Traffic Engineering
32
2
Highway Engineering
34
1
Geotechnical Engineering
35
1
Shortcomings of the BP Algorithm and Other Recent Approaches
36
3
Shortcomings of the BP Algorithm
36
1
Adaptive Conjugate Gradient Neural Network Algorithm
37
1
Radial Basis Function Neural Networks
37
1
Other Approaches
38
1
Integrating Neural Network With Other Computing Paradigms
39
6
Genetic Algorithms
39
1
Fuzzy Logic
40
2
Wavelets
42
3
Neural Dynamics Model and its Application to Engineering Design Optimization
45
50
Introduction
45
1
Cold-Formed Steel Design Optimization
46
1
Minimum Weight Design of Cold-Formed Steel Beams
47
13
Bending Strength Constraint
50
5
Shear Strength Constraint
55
1
Constraint on Combined Bending and Shear Strength
55
1
Constraint on Web Crippling Strength
56
1
Constraint on Combined Web Crippling and Bending Strength
57
1
Deflection Constraint
57
1
Constraint on Flange Curling
58
1
Local Buckling Constraints
59
1
Neural Dynamics Optimization Model
60
4
Neural Dynamics Model for Optimization of Cold-Formed Steel Beams
64
5
Application of the Model
69
10
Example 1
70
3
Example 2
73
3
Example 3
76
3
Global Optimum Design Curves for Hat-Shaped Beams
79
13
Parametric Studies and Search for Global Optima
80
3
Design Curves for Hat-Shapes
83
9
Concluding Remarks
92
3
Project Planning and Management and CPM
95
44
Introduction
95
3
What is a Project?
98
9
Definition
98
2
Life Cycle
100
2
Participants
102
1
Attributes of a Project
103
1
States of a Project
104
1
Project Time and Cost
105
2
Project Planning and Management
107
4
Introduction
107
1
Component Models
108
3
Elements of Project Scheduling
111
8
Tasks
112
1
Work Breakdown Structure
113
4
Scheduling Constraints
117
2
Graphical Display of Schedules
119
20
The Need
119
1
Gantt Charts
120
1
Network Diagrams
121
3
Linear Planning Chart
124
2
The Critical Path Method
126
1
Introduction
126
2
Features
128
1
Parameter in the CPM Analysis
129
2
Algorithm
131
3
Example
134
5
A General Mathematical Formulation for Project Scheduling and Cost Optimization
139
16
Introduction
139
4
Cost-Duration Relationship of a Project
143
2
Formulation of the Scheduling Optimization Problem
145
8
Breakdown the Work into Tasks, Crews, and Segments
147
1
Specify the Internal Logic of Repetitive Tasks
147
2
Specify the External Logic of Repetitive and Non-Repetitive Tasks
149
4
Conclusion
153
2
Neural Dynamics Cost Optimization Model for Construction Projects
155
22
Introduction
155
1
Formulation of the Neural Dynamics Construction Cost Optimization Model
155
4
Topological Characteristics
159
4
Illustrative Example
163
11
General Description
163
2
Cost-Duration Relationship
165
1
Scheduling Logic
165
7
Solution of the Problem
172
2
Conclusion
174
3
Object-Oriented Information Model for Construction Project Management
177
28
Introduction
177
1
Change Order Management
178
1
Owner's Role in Construction Project Management
179
2
Object-Oriented Methodology and Construction Engineering
181
4
An Object-Based Information Model for Construction Scheduling, Cost Optimization, and Change Order Management
185
1
Software Reuse Techniques: Components, Design Patterns, and Frameworks
186
6
Development Environment
192
4
An Application Architecture for the Construction Domain
196
5
Brief Description of Classes in Figure 7.6
201
4
The CONSCOM Framework
205
32
Introduction
205
1
The CONSCOM Framework
206
21
Introduction
206
2
Object Model
208
3
Model Description
211
16
Conclusion
227
2
Brief Description of Classes in the CONSCOM Framework (Figures 8.1-8.9)
229
3
Brief Description of the Attributes and Operations Shown in Figures 8.3-8.9
232
5
Attributes
232
1
Operations
233
4
A New Generation Software for Construction Scheduling and Management
237
24
Introduction
237
1
Integrated Construction Scheduling and Cost Management
237
2
Features of CONSCOM
239
2
Integrated Management Environment
241
3
User Interface Characteristics
244
10
Example - Retaining Wall Project
254
5
Concluding Remarks
259
2
Regularization Neural Network Model for Construction Cost Estimation
261
28
Introduction
261
2
Estimation, Learning and Noisy Curve Fitting
263
5
Regularization Networks
268
4
Determination of Weights of Regularization Network
272
2
Proper Generalization and Estimation by Cross-Validation
274
2
Input and Output Normalization
276
3
Application
279
5
Example 1
280
4
Example 2
284
1
Conclusion
284
5
Bibliography
289
26
Subject Index
315