Role of Artificial Intelligence in improving structural performance: A Review

Author:

Shandilya Tanmay,Agrawal Vinay,Gupta Rajesh

Abstract

Abstract Artificial Intelligence, or AI, encloses within itself, the various techniques and algorithms that facilitate the augmentation of human decision-making by adding computational infrastructure to it. It includes specific methodologies and programs that help make conclusive deductions based on the data available for it to work. The paper attempts to provide an introduction to the different types of AI tools along with their applicability. Furthermore, it attempts to define the role of AI in the enhancement of structural performance. Civil Engineering is a discipline that is highly dependent on the judgement of the Engineer-on-field. AI can assist this judgement by providing meaningful insights on the real world problems based on the data available from the site thereby improving the quality of the work and simultaneously serve as a guideline for novice engineers. This paper highlights the significance of AI in different domains of Civil Engineering and provides a broad picture of the future possibilities. It provides a review of the prominent works that have been carried out in the area and segregates the researches needing immediate attention. The areas of focus include structural performance parameters including prediction of structural properties, structural health monitoring and infrastructure-specific issues in buildings and bridges.

Publisher

IOP Publishing

Subject

General Engineering

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1. Bridge damage identification using artificial neural networks;Weinstein;Journal of Bridge Engineering.,2018

2. Predicting triaxial compressive strength and Young’s modulus of frozen sand using artificial intelligence methods;Esmaeili-Falak;Journal of Cold Regions Engineering.,2019

3. Peak daily water demand forecast modeling using artificial neural networks;Adamowski;Journal of Water Resources Planning and Management.,2008

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