Self-Healing Performance Assessment of Bacterial-Based Healing Concrete Using Machine Learning Approaches

Xu Huang; Sakdirat Kaewunruen

Self-Healing Performance Assessment of Bacterial-Based Healing Concrete Using Machine Learning Approaches

Xu Huang
, Sakdirat Kaewunruen

Civil Engineering

Research output: Contribution to conference (unpublished) › Poster › peer-review

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Abstract

This poster showcases the development of self-healing concrete, and the application of advanced machine learning approaches to assess self-healing performance of Bacterial-Based Healing Concrete.

Original language	English
Publication status	Published - 22 Jun 2023
Event	Clarke Lecture 2023 - Birmingham, Birmingham, United Kingdom Duration: 22 Jun 2023 → 22 Jun 2023

Conference

Conference	Clarke Lecture 2023
Country/Territory	United Kingdom
City	Birmingham
Period	22/06/23 → 22/06/23

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 9 Industry, Innovation, and Infrastructure
SDG 11 Sustainable Cities and Communities
SDG 12 Responsible Consumption and Production
SDG 13 Climate Action

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HuangX2023SelfLicence: Creative Commons: Attribution (CC BY)

Cite this

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title = "Self-Healing Performance Assessment of Bacterial-Based Healing Concrete Using Machine Learning Approaches",

abstract = "This poster showcases the development of self-healing concrete, and the application of advanced machine learning approaches to assess self-healing performance of Bacterial-Based Healing Concrete.",

author = "Xu Huang and Sakdirat Kaewunruen",

year = "2023",

month = jun,

day = "22",

language = "English",

note = "Clarke Lecture 2023 ; Conference date: 22-06-2023 Through 22-06-2023",

}

TY - CONF

T1 - Self-Healing Performance Assessment of Bacterial-Based Healing Concrete Using Machine Learning Approaches

AU - Huang, Xu

AU - Kaewunruen, Sakdirat

PY - 2023/6/22

Y1 - 2023/6/22

N2 - This poster showcases the development of self-healing concrete, and the application of advanced machine learning approaches to assess self-healing performance of Bacterial-Based Healing Concrete.

AB - This poster showcases the development of self-healing concrete, and the application of advanced machine learning approaches to assess self-healing performance of Bacterial-Based Healing Concrete.

UR - https://www.birmingham.ac.uk/schools/engineering/events/2023/clark-lecture-2023.aspx

M3 - Poster

T2 - Clarke Lecture 2023

Y2 - 22 June 2023 through 22 June 2023

ER -

Self-Healing Performance Assessment of Bacterial-Based Healing Concrete Using Machine Learning Approaches

Abstract

Conference

UN SDGs

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Cite this