Abstract

Adaptive kinetic architecture has emerged from a need for innovative designs that adapt to the environment and changing needs of the occupants. Architectural design and modes of egress are critical in an emergency. Flocking describes a certain collective behavior where agents are brought together in groups and move as a cohesive unit from place to place. Collective behavior may be observed in microscopic as well as macroscopic environments. Crowd modeling incorporates the study of human behavior, mathematical modeling, and molecular or fluid dynamics. The simulation of agents and their movement in the built environment is beneficial for design professionals, scientists, and engineers. Human behavior in panic situations is notably similar to fluids and molecules. The objective of this research was to evaluate the movement of agents in buildings using discrete dynamic simulation. We used a novel discrete molecular dynamics technique to simulate the evacuation of agents in panic situations. Various adaptive geometric configurations were analyzed for improved crowd flow. Kinetic walls were modeled in order to evaluate design optimization as it relates to rates of egression. This research proposes the use of kinetic walls to improve safety and efficiency during an emergency evacuation. Adaptive geometric configurations show improvements over the conventional design framework.

Highlights

  • Kinetic architecture has emerged from a need for innovative designs that adapt to the environment and changing needs of the occupants

  • This study investigated the collective behavior of crowds and methods of improving flow by utilizing discrete molecular dynamic simulation of adaptive walls

  • The main goal of this research was to evaluate the simulation of agents in buildings using discontinuous molecular dynamic simulation

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Summary

Introduction

Kinetic architecture has emerged from a need for innovative designs that adapt to the environment and changing needs of the occupants. It is kinetic in the sense that it possess the ability to adjust to its environment which forms an ecological system [1,2,3]. It is ecological because it can be likened to a living organism and its physical surroundings. It is based on simulation techniques that involve interacting atoms, their equations of motion, and time evolution. It follows the laws of classical mechanics.

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