Parametric and generative mechanisms for infrastructure projects

Negin Khoshamadi; Saeed Banihashemi; Mani Poshdar; Hamidreza R. Abbasianjahromi; Amir Tabadkani; Aso Hirajasouli

doi:10.1016/j.autcon.2023.104968

Parametric and generative mechanisms for infrastructure projects

Negin Khoshamadi , Saeed Banihashemi, Mani Poshdar, Hamidreza R. Abbasianjahromi, Amir Tabadkani, Aso Hirajasouli

Research output: Contribution to journal › Review article › peer-review

12 Citations (Scopus)

Abstract

This paper presents a comprehensive literature review and analysis of parametric and generative mechanisms for infrastructure projects. The selection criteria identified 41 related studies, with five major research domains associated with parametric modeling: “Building information modeling,” “parametric modeling,” “Infrastructure,” “Multi-scale modeling,” and “generative engineering.” This review analyzes the state of research on parametric modeling in infrastructures, developing operational frameworks, and identifying generative mechanisms for various types of infrastructure, including tunnels, roads, and bridges. The outcomes of this study will aid researchers and practitioners in gaining a clear understanding of the current status of the topic, adopting parametric and generative mechanisms for different types of infrastructure projects, and identifying future research directions.

Original language	English
Article number	104968
Pages (from-to)	1-26
Number of pages	26
Journal	Automation in Construction
Volume	154
DOIs	https://doi.org/10.1016/j.autcon.2023.104968
Publication status	Published - Oct 2023

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title = "Parametric and generative mechanisms for infrastructure projects",

abstract = "This paper presents a comprehensive literature review and analysis of parametric and generative mechanisms for infrastructure projects. The selection criteria identified 41 related studies, with five major research domains associated with parametric modeling: “Building information modeling,” “parametric modeling,” “Infrastructure,” “Multi-scale modeling,” and “generative engineering.” This review analyzes the state of research on parametric modeling in infrastructures, developing operational frameworks, and identifying generative mechanisms for various types of infrastructure, including tunnels, roads, and bridges. The outcomes of this study will aid researchers and practitioners in gaining a clear understanding of the current status of the topic, adopting parametric and generative mechanisms for different types of infrastructure projects, and identifying future research directions.",

keywords = "Infrastructure projects, Parametric design, Generative model, generative engineering, BIM, Infrastructure, Generative design, Parametric modeling, Generative engineering",

author = "Negin Khoshamadi and Saeed Banihashemi and Mani Poshdar and Abbasianjahromi, {Hamidreza R.} and Amir Tabadkani and Aso Hirajasouli",

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year = "2023",

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doi = "10.1016/j.autcon.2023.104968",

language = "English",

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T1 - Parametric and generative mechanisms for infrastructure projects

AU - Khoshamadi , Negin

AU - Banihashemi, Saeed

AU - Poshdar, Mani

AU - Abbasianjahromi, Hamidreza R.

AU - Tabadkani, Amir

AU - Hirajasouli, Aso

PY - 2023/10

Y1 - 2023/10

N2 - This paper presents a comprehensive literature review and analysis of parametric and generative mechanisms for infrastructure projects. The selection criteria identified 41 related studies, with five major research domains associated with parametric modeling: “Building information modeling,” “parametric modeling,” “Infrastructure,” “Multi-scale modeling,” and “generative engineering.” This review analyzes the state of research on parametric modeling in infrastructures, developing operational frameworks, and identifying generative mechanisms for various types of infrastructure, including tunnels, roads, and bridges. The outcomes of this study will aid researchers and practitioners in gaining a clear understanding of the current status of the topic, adopting parametric and generative mechanisms for different types of infrastructure projects, and identifying future research directions.

AB - This paper presents a comprehensive literature review and analysis of parametric and generative mechanisms for infrastructure projects. The selection criteria identified 41 related studies, with five major research domains associated with parametric modeling: “Building information modeling,” “parametric modeling,” “Infrastructure,” “Multi-scale modeling,” and “generative engineering.” This review analyzes the state of research on parametric modeling in infrastructures, developing operational frameworks, and identifying generative mechanisms for various types of infrastructure, including tunnels, roads, and bridges. The outcomes of this study will aid researchers and practitioners in gaining a clear understanding of the current status of the topic, adopting parametric and generative mechanisms for different types of infrastructure projects, and identifying future research directions.

KW - Infrastructure projects

KW - Parametric design

KW - Generative model

KW - generative engineering

KW - BIM

KW - Infrastructure

KW - Generative design

KW - Parametric modeling

KW - Generative engineering

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U2 - 10.1016/j.autcon.2023.104968

DO - 10.1016/j.autcon.2023.104968

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JO - Automation in Construction

JF - Automation in Construction

M1 - 104968

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Parametric and generative mechanisms for infrastructure projects

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