Utility-Function Model for Engineering Performance Assessment

Engineering and design activities constitute a critical link in a project’s life cycle. Thus, an efficient project control system requires an instrument to measure and assess engineering performance among different projects. In conventional industry practices, the measurement of engineering performance is usually tied to the production of design documents during the detailed design phase of the project. Realizing the far-reaching impacts of engineering activities, researchers in the past have investigated other comprehensive measures of engineering performance that address the entire project life cycle. As part of a study for the Construction Industry Institute, this particular research employs a multiple attribute utility function method for the collective assessment of engineering performance in construction projects. The paper begins with a summary of previous studies in the area of engineering performance measurement and assessment. Afterwards, the concept of engineering performance is thoroughly explained. The paper then reviews the background and basic theories of using utility functions in assessing engineering performance, along with an illustrative example of the functionality of this approach. The paper goes on to show the development of the utility function model for the industrial construction sector through expert opinion and real project data. The use of the model is further illustrated in the assessment of total and relative engineering performance. Lastly, conclusions of this study are drawn and potential future work is pointed out.     

Virtual Teams: Guide to Successful Implementation

The successful initiation and execution of a virtual team is gaining increasing attention in the design and construction community. From opportunities to integrate international and multidisciplinary teams to the opportunity to leverage the best resources in an organization on a given project, virtual teams can transform the concept of project planning and execution. However, potential barriers exist in several areas to the successful implementation of virtual teams. The needs of increased management emphasis, social and cultural understanding, and emphasis on common goals are only a few of the nontechnical factors that can turn successful virtual teaming into virtual frustration. When combined with traditional technical challenges including compatibility of systems, security, and the selection of appropriate technologies, the line between leveraging virtual technologies for enhanced solutions and introducing additional complications into the project process is one that can be easily crossed. This paper presents the findings of research that addresses the opportunities and potential barriers to successful virtual teams in the engineering, procurement, and construction industry. Combining results from current research, industry practices, and early results from nonconstruction industries, the research findings provide an initial path to successful virtual team implementation.     

宝钢三期工程新技术概述

宝钢三期工程项目初步设计工作已全面完成并通过审查，现已进入施工图设计与现场施工准备工作阶段。本文介绍了三期工程的建设规模与产品方案，简介了三期工程的建设水平与特点，三期工程主体项目中新技术应用状况与其建设进度，提供了宝钢三期工程项目的概貌。     

Role of ASCE in the Advancement of Computing in Civil Engineering

Computing has emerged as a major focus area in civil engineering, just as it has in other disciplines. This paper examines the role of the American Society of Civil Engineers (ASCE) in the advancement and development of this focus on computing in civil engineering. The paper documents the technical activities of ASCE that contributed to this evolution, particularly the committees of the Structural Division (now the Structural Engineering Institute) and the Technical Council on Computer Practices (now the Technical Council on Computing and Information Technology). Emphasis is placed on the initial activities and the current status of each group. A broad survey of ASCE activities that contribute to the dissemination of information on computing in civil engineering is presented. The role of ASCE publications in this effort is examined. The ASCE conferences and congresses on computing are documented and evaluated. Finally, observations are made about the society's overall impact on computing in civil engineering.     

Parametric Coordinator for Engineering Design

Coordination of design information is essential for the design team to provide accurate technical documents for the actual construction. Design changes are inevitable during any ordinary building project. If the design changes are not properly managed, design conflicts will be created, which will result in more expensive design or even failure in the design-construction process. However, little research has been done to address the issue and thereby provide tools for the management of design changes. This paper presents a novel approach that can facilitate the coordination of design information through managing design changes with the help of a parametric coordinator. Design changes of dimensions between different building components are specially discussed. The proposed parametric coordinator provides each building component with the linking knowledge that is described as a dimensional property and a reference property. A group design method is applied to check the design consistency. Illustrative examples are presented to demonstrate the feasibility of the proposed parametric approach for design change management.     

E-Society Portal: Integrating Urban Highway Construction Projects into the Knowledge City

Community involvement is an important factor for sustainable highway construction. Information and communication technologies provide a new and more effective approach to facilitate community involvement. However, there are too many parameters with conflicting and subjective definitions related to sustainability and too many stakeholders with varying degrees of interest and sophistication. There is a need for an effective tool to communicate project impacts on sustainability to local communities. This paper presents an ontology for stakeholder management and sustainability in highway construction. An ontology is a conceptual semantic model that attempts to capture human knowledge (both explicit and tacit) in a consistent manner. Ontologies include three main elements: a taxonomy (common vocabulary presented in concept trees), set of relationships (linking concepts across trees), and axioms (limitation/constraints on the behavior of concepts). The ontology was used to develop a portal for broadcasting highway design features to local communities. By browsing through the portal, a user can learn about project elements, the impacts of each element on sustainability issues, who is sponsoring such element, and what efforts have been made to reduce any impacts of such elements on local communities.     

Using Group Decision Support System to Support Value Management Workshops

A group decision support system (GDSS) is an interactive computer-based information system that combines the capabilities of communication technologies, database technologies, computer technologies, and decision technologies to support the identification, analysis, formulation, evaluation, and solution of semistructured or unstructured problems by a group in a user-friendly computing environment. As there is a strong demand for improvements to the practice of value management (VM), research has been conducted to design a GDSS prototype system, named the interactive value management system (IVMS), to explore its potential application in VM workshops and to investigate the effect of the application. The paper begins with an introduction to the problems of implementing VM in the Hong Kong construction industry and then proceeds to an illustration of the features of the proposed system, which has been developed in the research. Two validation studies designed to test the support of the proposed system are described and the results discussed. Findings from this research indicate that IVMS is supportive in overcoming the problems and difficulties in VM workshops.     

Sensitivity of Construction Activities under Design Uncertainty

In the quest to shorten project delivery time, construction professionals have the option of overlapping design and construction activities. Although time savings can be achieved by overlapping, conducting design and construction operations in a nonnatural sequence can carry significant risks. To mitigate these risks and make more appropriate overlapping decisions, concurrent engineering concepts can be used to classify upstream design activities in terms of design evolution and downstream construction activities in terms of sensitivity to upstream design changes. The focus of this work is to determine the factors that contribute to the sensitivity of construction activities. A series of semistructured interviews with experienced construction professionals show that the level of transformation, lead time, modularity, and the interaction of built components are some of the factors that determine the amount of sensitivity in construction activities to upstream design changes. These determinants provide for a quick assessment of an activity’s sensitivity, which can help practitioners limit risk when planning the overlapping of design and construction activities.     

Construction Engineering Process and Knowledge Requirements for Fostering Creative Design Solutions on Infrastructure Projects

Construction engineering for major infrastructure projects covers a wide range of activities to evaluate and select the techniques for assembling materials and components. Construction engineering inherently presents a very challenging opportunity for creative design, particularly on infrastructure projects. This construction engineering activity can be described as one of creating and developing workable, cost-effective, low-risk technical solutions for an array of infrastructure construction problems that must be solved from the plans and specifications stage through facility completion. The purpose of this paper is to illustrate a 10-step construction engineering process and define important knowledge requirements to foster creative design solutions using four case studies, including (1) positioning and holding a concrete bridge caisson in a 7-knot tidal current for a 4-month period; (2)?skidding a 55,000-t immersed tube tunnel element 200?m on dry land from casting site to launch site; (3)?building a major dam without the use of river diversion or on-site dewatering systems; and (4)?building underwater bridge piers without the use of conventional bottom-founded cofferdams. The creative design process was able to successfully devise a plan for solving highly technical construction challenges using a process-based approach. The key requirements of knowledge, skill, and experience necessary to perform these activities are presented to assist construction engineers in preparing for these creative opportunities.     

Application of Web Services for Structural Engineering Systems

The Internet has revolutionized the way computing is done and the way software systems work. Many systems, such as search engines and PC games, have utilized Web-related technologies for Web-based systems. However, the application of Web-based engineering software is still in its infancy, especially regarding engineering computing. This paper presents a prototype development of Web-based structural engineering systems by utilizing modern computer graphics and information technology to provide Web-based analytical services. The system design emphasizes platform-independence, graphical interface, system performance, and a multiple-user environment. The user needs only an Internet-connected machine to access high-performance services provided at remote sites over the Web. This framework will provide users a powerful tool to efficiently perform analysis with minimal computer resource requirements. The user will always have access to the most up-to-date and functional system with no client-side updates or maintenance required. Two Web-based system implementations are given as examples in this paper.     

Pilot Study of Quality Function Deployment in Construction Projects

Quality function deployment (QFD) is a process that has been used for managing the development of new manufactured products. In this process, both spoken and unspoken needs of the customers are determined, prioritized, and translated to design parameters. Such design parameters are assigned specific target values and are frequently checked against customers’ needs throughout the development cycle to ensure customers’ satisfaction with the end product. This paper describes a pilot study in which QFD was implemented in a design-construction project. The project scope involved the preparation of a conceptual design for a modern large-size classroom for college students. The design was intended to become a model for the university’s future classrooms. The study proved that QFD could be successfully adopted in engineering-construction projects. However, the study identified a number of implementation challenges. In addition, more applications are necessary to take the process throughout the full project delivery cycle, as the pilot study involved only the preliminary engineering and conceptual design phase.     

Developing Knowledge Landscapes through Project-Based Learning

The traditional civil engineering-based approach to construction engineering and management education focuses significant attention on core subjects such as scheduling, estimating, and contracts. This paper introduces an alternative approach to this education based on the concepts of project-based learning. Through the introduction of courses developed by the writers, the paper provides a foundation for changing current education approaches from a lecture-based format to a project-based format. In this format, students are challenged with open-ended problems requiring greater application of multiple engineering concepts as well as requiring interaction with outside experts from within the construction industry and related professions. An outline for a project-based learning course is presented with experiences and lessons learned from four implementations of the course. Student responses are presented to indicate the potential benefits of such an approach. This finding is further supported by the introduction of the Knowledge Landscape concept for construction education that emphasizes greater use of context, scope, and multiple intelligences in construction engineering education.     

Dynamic Planning and Control Methodology for Design∕Build Fast-Track Construction Projects

A dynamic planning and control methodology is developed by integrating the applications of axiomatic design concepts, concurrent engineering concepts, the graphical evaluation and review technique (GERT), and the system dynamics modeling technique. The goal of the proposed methodology is to help create a dynamic project plan for design∕build fast-track civil engineering and architectural projects where unforeseen changes can be absorbed in the project schedule without creating major interruptions. The axiomatic design concepts are applied to formulate and evaluate various work methodologies, and to create a project plan based on the selected work methodology. The concept of concurrent engineering is adapted to develop a fast-tracking framework based on the task production rate, the upstream task reliability, and downstream task sensitivity to the upstream error. The GERT diagramming scheme is used to calculate the project duration probabilistically by incorporating the possible branches and loops in the project. The system dynamics modeling technique is applied to analyze the causality links of relevant factors in the construction system, and further identifies the important variables that determine the success of a particular overlapping strategy. Consequently, with a rigorous and systemized methodology to help project planning, potential problems can be addressed early before construction. The overall increase in productivity and efficiency as a result of a better planning process can consequently promote the competitiveness of the construction industry.     

Novel Approach to Integration of Numerical Modeling and Field Observations for Deep Excavations

Precedent and observation of performance are an essential part of the design and construction process in geotechnical engineering. For deep urban excavations designers rely on empirical data to estimate potential deformations and impact on surrounding structures. Numerical simulations are also employed to estimate induced ground deformations. Significant resources are dedicated to monitor construction activities and control induced ground deformations. While engineers are able to learn from observations, numerical simulations have been unable to fully benefit from information gained at a given site or prior excavation case histories in the same area. A novel analysis method, self-learning in engineering simulations (SelfSim), is introduced to integrate precedent into numerical simulations. SelfSim is an inverse analysis technique that combines finite element method, biologically inspired material models, and field measurements. SelfSim extracts relevant constitutive soil information from field measurements of excavation response such as lateral wall deformations and surface settlement. The resulting soil model, used in a numerical analysis, provides correct ground deformations and can be used in estimating deformations of similar excavations. The soil model can continuously evolve using additional field information. SelfSim is demonstrated using two excavation case histories in Boston and Chicago.     

Mixed Reality-Based Visualization Interfaces for Architecture, Engineering, and Construction Industry

Varied computing devices and automated sensors will enable new human-computer interface paradigms for interacting with digitally managed project information. The writers therefore propose the development of Mixed Reality (MR)-based computer interfaces, and especially Augmented Reality systems, for the architecture, engineering, and construction industry and describe the technologies and principles for applying such computer interfaces to support all phases of the constructed facility project life cycle. An Augmented Reality computer-aided drawing prototype is described as an experimental platform to study the human factors issues in interacting with Augmented Reality three-dimensional digital design models. Two critical research needs are cited for realizing effective Augmented Reality systems: (1) human factors research for development of visualization tools to enhance design comprehension and support collaborative work, and (2) the development of a technology infrastructure for “augmented” control and inspection interfaces to directly access digital project plan and site information that may be spatially referenced and displayed in the field. Research should be geared to advance knowledge regarding spatial cognition, human–computer interfaces, and computer-mediated human-to-human interactions, and it should address application of MR to all phases of the project life cycle.     

Managing Design Changes for Multiview Models

Coordination of design changes is important because, if the design changes are not properly managed, design conflicts will result in more expensive design or even failure in the design-construction process. Geometric modification has been a routine for design activities. However, the facility of existing systems for managing changes in multiview models is still inadequate. This paper presents a novel parametric approach using a knowledge-based constraint solving method to incorporate the projection knowledge and graphic inference to address the issue of design changes for multiview models. A corresponding multiview constraint solver has been developed. This knowledge-based constraint solver can be combined with the linking knowledge between building components to facilitate the coordination of design information for multiview models. Illustrative examples are presented to demonstrate the feasibility of the proposed parametric approach for design change management.     

Framework for Measuring the Rationale Clarity of AEC Design Decisions

Current architecture, engineering, and construction (AEC) design processes often rely on precedent to resolve complex decisions. However, changes to stakeholder concerns, design methods, and building products devalue much of this precedent knowledge. Project teams need to clearly communicate their decision rationale to develop consensus about design decisions. This study reviews a broad range of relevant theory from decision-based design, decision analysis, decision theory, linguistics, logic, organization theory, and social welfare. Rationale is defined as a set of assertions regarding distinct components (i.e., managers, stakeholders, designers, gatekeepers, goals, constraints, alternatives, and analysis) that support design decisions. Conditions of clarity (i.e., coherent, concrete, connected, consistent, credible, certain, and correct) are also defined. These definitions are used to measure the clarity of assertions, components, and the rationale as a whole. Taken together, this rationale clarity framework (RCF) provides a structured view that enables an objective evaluation of design decision methods.     

Characterization and Search of Construction Inspection Plan Spaces Developed Using a Component-Based Planning Approach

Formal construction inspection planning is needed to help reduce the incidence of overlooked or inefficient inspections, and to help realize the potential of emerging sensing technologies. Prior publications by the authors have presented requirements for such an approach and a component-based inspection planning implementation as an approach in addressing some of the requirements towards formal construction inspection planning. Implementation of such a component-based approach for typical construction examples, however, leads to the generation of large, rugged search spaces. This paper first describes the characteristics of search spaces that are generated using a component-based approach to illustrate which search mechanisms are appropriate to explore these search spaces. The paper then describes a set of search algorithms and heuristics that were investigated and evaluated for searching construction inspection plans. Specific discussions on how these algorithms performed in searching within inspection planning spaces are provided based on experiments conducted using a testbed characterizing a construction site and a building performance monitoring decision-making example.     

Web-Based Decision Support Systems: Case Study inProject Delivery

The decentralized nature of the construction industry contributes to difficulties in the implementation and dissemination of project management-based decision tools. The majority of decision support systems (DSS) are contained in-house with private developers and users, or on researchers stand-alone computers and academic journals. Current World Wide Web technologies provide the appropriate means for large-scale implementation and continued development of DSS for the architectural, engineering, and construction community. This paper documents a DSS developed specifically for design∕build project selection among United States public sector agencies. The system, the Design∕Build Selector (DBS), is Web enabled, allowing for easy access and large-scale dissemination. Design∕build project procurement is rapidly expanding throughout public sector agencies in the United States construction industry. As public agencies turn to design∕build, appropriate project selection is a primary consideration affecting successful delivery. Prior to the implementation of DBS, there was no systematic or formalized method for selecting projects appropriate for design∕build. Since 1997, the Web site that houses the DBS has been visited by over 4,000 people, and the DBS tool has been used on 102 projects representing over $4.8 billion in construction. This paper reports on the application and potential for Web-based DSS in civil engineering. The architecture of the program, data collection, model weighting, and output interface are explained.