The interference and proximity effects on the dynamic response of prismatic bluff bodies are investigated in a series of wind tunnel tests. The results show that the presence of a single, or a pair of upstream prisms of the same size can increase the interaction factor. The effects are more pronounced in a boundary layer flow with a lower level of turbulence, especially near the reduced velocit...

Landscape is the visible cognition of human environment, including natural objects such as mountains, rivers, the sea, forests and artificial objects such as buildings, bridges, and other structures. Landscape can be recognized and evaluated differently, depending on the viewer. However, people who share the same or similar local culture or aesthetics have the common recognition and evaluation ...

This paper proposes a new approach to representing structural system inspired by various models of complex systems. Several types of generative representations of steel structural systems are provided and empirically investigated. These representations utilize various kinds of cellular automata to generate design concepts of steel structures in tall buildings. In the paper, a brief overview of ...

A damage detection method utilizing Support Vector Machine (SVM) for bending structures is proposed. The SVM was recently proposed as a new technique for pattern recognition. The SVM is a powerful pattern recognition tool applicable to complicated classification problems and is effectively utilized in the method. Based on the modal frequency changes, the damage location and its severity are def...

In cities with tall buildings, emergency responders need an accurate floor level location to find 911 callers quickly. We introduce a system to estimate a victim’s floor level via their mobile device’s sensor data in a two-step process. First, we train a neural network to determine when a smartphone enters or exits a building via GPS signal changes. Second, we use a barometer equipped smartphon...

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 induction from examples of minimum weight designs. This study investigates the applicability of machine learning methods which are capable of constructive induction, that is of aut...