Abstract: This paper addresses the issue of a crisis in civil engineering. In the past, civil engineers were pioneers of our civilization; today, they are rarely perceived as leaders and innovators. The author urges civil engineers ...

Abstract: A new approach to structural parametric optimization is proposed. A two‐stage case‐based optimization process, including learning and production stages, is presented. A brief description of a case‐base reasoning system and ...

Abstract: This paper presents results of transdisciplinary research on the development of a bioinspired computational framework for engineering design. This framework is intended to support design by addressing three critical design ...

Abstract: Computerized constructability analysis, using knowledge-based tools, is the key to effective construction process automation. However, the development of such tools requires a prior acquisition of constructability knowledge. ...

Abstract: This paper presents results of a study on evolutionary computation in the design of the steel structural systems of tall buildings. It describes results of extensive research on both short-term (up to a few hundred ...

Abstract: The potential threats to U.S. water supply systems have changed fundamentally in the past 4 years. Prior to 2001, the major threats were natural causes, accidents, and some malicious behavior by a small group of individuals. ...

Abstract: This paper describes a methodology for applying machine learning to problems of conceptual design, and presents a case study of learning design rules for wind bracings in tall buildings. Design rules are generated by ...