Abstracts – Browse Results

Search or browse again.

Click on the titles below to expand the information about each abstract.
Viewing 11 results ...

Arditi, D and Gutierrez, A E (1991) Factors Affecting U.S. Contractors' Performance Overseas. Journal of Construction Engineering and Management, 117(01), 27–46.

Beliveau, Y J, Snyder, D A and Vorster, M C (1991) DBE Programs—New Model. Journal of Construction Engineering and Management, 117(01), 176–92.

Echeverry, D, Ibbs, C W and Kim, S (1991) Sequencing Knowledge for Construction Scheduling. Journal of Construction Engineering and Management, 117(01), 118–30.

Eldin, N N (1991) Management of Engineering/Design Phase. Journal of Construction Engineering and Management, 117(01), 163–75.

Glavan, J R and Tucker, R L (1991) Forecasting Design‐Related Problems—Case Study. Journal of Construction Engineering and Management, 117(01), 47–65.

Hinze, J and Antal, T (1991) Construction Contract Provisions for Preservation of Artifacts. Journal of Construction Engineering and Management, 117(01), 106–17.

Laufer, A and Shohet, I M (1991) Span of Control of Construction Foreman: Situational Analysis. Journal of Construction Engineering and Management, 117(01), 90–105.

Morad, A A and Beliveau, Y J (1991) Knowledge‐Based Planning System. Journal of Construction Engineering and Management, 117(01), 1–12.

  • Type: Journal Article
  • Keywords: Knowledge‐based systems; Artificial intelligence; Computer aided design; Construction planning; Interactive systems;
  • ISBN/ISSN: 0733-9364
  • URL: https://doi.org/10.1061/(ASCE)0733-9364(1991)117:1(1)
  • Abstract:
    Network‐based techniques as planning tools are widely used in the construction industry. They have proven effective for certain types of projects. However, these techniques have many limitations. They are usually carried out in an unstructured form with considerable reliance on the planner's judgment, imagination, and intuition. They require abstract visualization of the perceived configurations, characteristics, and spatial relationships among various components of the project. Because of limitations in the current planning techniques, there is a need for the development of new techniques. These techniques rely on advanced visual tools in addition to construction knowledge rules defined by planning experts to enhance and automate the planning process of complex projects. The availability of advanced computer technology (both hardware and software) allows both researchers and practitioners in the construction industry to develop such techniques. This paper presents KNOW‐PLAN, a knowledge‐based planning system proposed by research being done at Virginia Tech. The system integrates artificial intelligence (AI) technology with computer‐aided design (CAD) technology to generate and simulate construction plans. The system can be classified as a new direction in approaching a planning problem that integrates AI and CAD.

Nicholls, R (1991) Sandwich‐Barrel Shell Construction by Inflation. Journal of Construction Engineering and Management, 117(01), 131–47.

Thomas, H R, Smith, G R and Wright, E D (1991) Legal Aspects of Oral Change Orders. Journal of Construction Engineering and Management, 117(01), 148–62.

Yeh, Y, Hsu, D and Kuo, Y (1991) Expert System for Diagnosing Damage of Prestressed Concrete Pile. Journal of Construction Engineering and Management, 117(01), 13–26.